Publications

• Quantum capacities of transducers, C.-H. Wang, F. Li, and L. Jiang, arXiv:2203.00012 (2022).
• Generalized matching condition for unity efficiency quantum transduction, C.-H. Wang, M. Zhang, and L. Jiang, arXiv:2202.06960 (2022).
• Chiral anomaly in (1+1) dimensions revisited: complementary kinetic perspective and universality, Wei-Han Hsiao and C.-H. Wang, arXiv:2201.02844 (2022).
• Autonomous quantum error correction and quantum computation, J. Lebreuilly, K. Noh, C.-H. Wang, S. M. Girvin, and L. Jiang, arXiv:2103.05007 (2021).
• Photon-number dependent Hamiltonian engineering for cavities, C.-H. Wang, K. Noh, J. Lebreuilly, S. M. Girvin, and L. Jiang, Phys. Rev. Applied 15, 044026 (2021).
• Waveguide Cavity Optomagnonics for Broadband Multimode Microwave-to-Optics Con- version, N. Zhu, X. Zhang, X. Han, C-L Zou, C. Zhong, C.-H. Wang, L. Jiang, and H. X. Tang, Optica 7, 1291 (2020).
• Theory of Bose condensation of light via laser cooling of atoms, C.-H. Wang, M. J. Gullans, J. V. Porto, W. D. Phillips, and J. M. Taylor, Phys. Rev. A 99, 031801(R) (2019).
• Photon thermalization via laser cooling of atoms, C.-H. Wang, M. J. Gullans, J. V. Porto, W. D. Phillips, and J. M. Taylor, Phys. Rev. A 98, 013834 (2018).
• Optomechanical approach to controlling the temperature and chemical potential of light, C.-H. Wang and J. M. Taylor, Phys. Rev. A 97, 033850 (2018).
• Landauer formulation of photon transport in driven systems, C.-H. Wang and J. M. Taylor, Phys. Rev. B 94, 155437 (2016) .
• Quantum model for entropic springs, C.-H. Wang and J. M. Taylor, Phys. Rev. B 93, 214102 (2016)
• Quantum corrections to entropic gravity, P. Chen and C.-H. Wang, Mod. Phys. Lett. A 28, 1340010 (2013).
• Where is ¯h hiding in entropic gravity?, P. Chen and C.-H. Wang, arXiv:1112.3078 (2011).

• Nian-Ze Lee, Jie-Hong R. Jiang, “Towards Formal Evaluation and Verification of Probabilistic Design,” IEEE Trans. Computers, 67(8), 1202-1216, Aug. 2018
• Tai-Yin Chiu and Jie-Hong R. Jiang, “Logic Synthesis of Recombinase Based Genetic Circuits,” Scientific Reports, 7, Article No. 12873, doi:10.1038/s41598-017-07386-3, Oct. 2017
• Hsiao-Lei Chien, Mei-Yen Chiu, Jie-Hong R. Jiang, “A Gridless Approach to the Satisfiability of Self-Aligned Triple Patterning,” IEEE Trans. on CAD of Integrated Circuits and Systems, 36(8): 1251-1264, Aug. 2017
• Yi-Hsiang Lai, Chi-Chuan Chuang, Jie-Hong R. Jiang, “Scalable Synthesis of PCHB-WCHB Hybrid Quasi-Delay Insensitive Circuits,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 35(11): 1797-1810, Nov. 2016
• Valeriy Balabanov, Shuo-Ren Lin, and Jie-Hong R. Jiang, “Flexibility and Optimization of QBF Skolem-Herbrand Certificates,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 35(9): 1557-1568, Sept. 2016
• Hui-Ju Katherine Chiang, Chi-Yuan Liu, Jie-Hong R. Jiang, Yao-Wen Chang, “Simultaneous EUV Flare Variation Minimization and CMP Control by Coupling-Aware Dummification,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 35(4): 598-610, Apr. 2016
• Nina Yevtushenko, Khaled El-Fakih, Tiziano Villa, Jie-Hong R. Jiang, “Deriving Compositionally Deadlock-free Componenets over Synchronous Automata Compositions,” The Computer Journal, 58(11): 2793-2803, Nov. 2015
• Tai-Yin Chiu, Hui-Ju K. Chiang, Ruei-Yang Huang, Jie-Hong R. Jiang, François Fages, “Synthesizing Configurable Biochemical Implementation of Linear Systems from Their Transfer Function Specifications,” PLOS ONE, 10(9): e0137442, Sept. 2015
• Hui-Ju Katherine Chiang, Francois Fages, Jie-Hong Roland Jiang, and Sylvain Soliman, “Hybrid Simulations of Heterogeneous Biochemical Models in SBML,” ACM Trans. Model. Comput. Simul., 25(2):14, Feb. 2015
• Valeriy Balabanov, Hui-Ju K. Chiang, and Jie-Hong R. Jiang, “Henkin quantifiers and Boolean formulae: A certification perspective of DQBF,” Theoretical Computer Science (TCS), 523(2), pp. 86-100, Feb. 2014
• Tsung-Po Liu, Shuo-Ren Lin, and Jie-Hong R. Jiang, “Software Workarounds for Hardware Errors: Instruction Patch Synthesis,” IEEE Trans. on CAD of Integrated Circuits and Systems (TCAD), 32(12), pp. 1992-2003, Dec. 2013
• Yi-Ting Chung and Jie-Hong R. Jiang, “Functional Timing Analysis Made Fast and General,” IEEE Trans. on CAD of Integrated Circuits and Systems (TCAD), 32(9), pp. 1421-1434, Sept. 2013
• Kuan-Hsien Ho, Jie-Hong R. Jiang, and Yao-Wen Chang, “TRECO: Dynamic Technology Remapping for Timing Engineering Change Orders,” IEEE Trans. on CAD of Integrated Circuits and Systems (TCAD), 31(11), pp. 1723-1733, Nov. 2012
• Hsiou-Yuan Liu, Yen-Cheng Chou, Chen-Hsuan Lin, and Jie-Hong R. Jiang, “Automatic Decoder Synthesis: Methods and Case Studies,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 31(9), pp. 1319-1331, Sept. 2012
• Valeriy Balabanov and Jie-Hong R. Jiang, “Unified QBF Certification and its Applications,” Formal Methods in System Design (FMSD), 41(1), pp. 45-65, Aug. 2012
• Alan Mishchenko, Robert Brayton, Jie-Hong R. Jiang, and Stephen Jang, “Scalable Don't-Care-Based Logic Optimization and Resynthesis,” ACM Transactions on Reconfigurable Technology and Systems (TRETS), 4(4):34, Dec. 2011
• Jie-Hong Roland Jiang, Hsuan-Po Lin, and Wei-Lun Hung, “Extracting Functions from Boolean Relations Using SAT and Interpolation,” Advanced Techniques in Logic Synthesis, Optimizations and Applications, Sunil Khatri and Kanupriya Gulati, editors, Springer, (book chapter, pages 287-307), 2011
• Ruei-Rung Lee, Jie-Hong Roland Jiang, and Wei-Lun Hung, “Bi-decomposition Using SAT and Interpolation,” Advanced Techniques in Logic Synthesis, Optimizations and Applications, Sunil Khatri and Kanupriya Gulati, editors, Springer, (book chapter, pages 87-105), 2011
• Hsuan-Po Lin, Jie-Hong Roland Jiang, and Ruei-Rung Lee, “Ashenhurst Decomposition Using SAT and Interpolation,” Advanced Techniques in Logic Synthesis, Optimizations and Applications, Sunil Khatri and Kanupriya Gulati, editors, Springer, (book chapter, pages 67-85), 2011
• Jie-Hong R. Jiang and Tiziano Villa, “Hardware Equivalence and Property Verification,” Boolean Methods and Models in Mathematics, Computer Science and Engineering, Y. Crama and P. L. Hammer, editors, Cambridge University Press, (book chapter, pages 599-674), May 2010
• Jie-Hong R. Jiang, Chih-Chun Lee, Alan Mishchenko, and Chung-Yang Huang, “To SAT or Not to SAT: Scalable Exploration of Functional Dependency,” IEEE Transactions on Computers (TCOM), vol. 59, no. 4, pages 457-467, Apr. 2010
• Jie-Hong R. Jiang and Srinivas Devadas, “Logic Synthesis in a Nutshell,” Electronic Deisng Automation: Synthesis, Verification, and Test, Wang et al., editors, Morgan Kaufmann Publishers, (book chapter, pages 299-404), 2009

• Maximum-likelihood quantum state tomography by Cover's method with non-asymptotic analysis, arXiv:2110.00747.
  C.-M. Lin, H.-C. Cheng, and Y.-H. Li
• Minimizing quantum Renyi divergences via mirror descent with Polyak step size, BIID'9, 2021 (lighting talk presentation); ISIT 2022.
  J.-K. Yu, H.-C. Cheng, and Y.-H. Li
• An online algorithm for maximum-likelihood quantum state tomography. QIP 2021 (poster).
  C.-M. Lin, Y.-M. Hsu, and Y.-H. Li
• Online positron emission tomography by online portfolio selection. ICASSP 2020.
  Y.-H. Li
• Convergence of the exponentiated gradient method with Armijo line search, J. Optim. Theory Appl., 2019.
  Y.-H. Li and V. Cevher
• Learning without Smoothness and Strong Convexity. PhD Thesis. 2018.
  Y.-H. Li
• A general convergence result for mirror descent with Armijo line search, arXiv, 2018.
  Y.-H. Li, C. A. Riofrio, and Volkan Cevher
• Learning-based compressive MRI, IEEE Trans. Med. Imaging. 2018.
  B. Gozcu, R. K. Mahabadi, Y.-H. Li, E. Ilicak, T. Cukur, J. Scarlett, and V. Cevher
• Estimation error of the constrained lasso, Allerton 2016.
  N. Zerbib, Y.-H. Li, Y.-P. Hsieh, and V. Cevher
  [preprint, slides]
• Learning-based compressive subsampling, IEEE J. Sel. Top. Signal Process., 2016.
  L. Baldassarre, Y.-H. Li, J. Scarlett, B. Gözcü, I. Bogunovic, and V. Cevher
  [arXiv preprint]
• Learning data triage: Linear decoding works for compressive MRI, ICASSP 2016.
  Y.-H. Li and V. Cevher
  [arXiv preprint, slides]
• Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable Poisson phase retrieval, ICASSP 2016.
  G. Odor, Y.-H. Li, A. Yurtsever, Y.-P. Hsieh, Q. Tran-Dinh, M. El Halabi, and V. Cevher
  [arXiv preprint with complete proofs]
• A geometric view on constrained M-estimators, arXiv, 2015.
  Y.-H. Li, Y.-P. Hsieh, N. Zerbib, and V. Cevher
• Composite minimization involving self-concordant-like cost functions, MCO 2015.
  Q. Tran-Dinh, Y.-H. Li, and V. Cevher
  [slides for ISMP 2016]
• Sparsistency of \ell_1-regularized M-estimators, AISTATS 2015 (oral, top 6%).
  Y.-H. Li, J. Scarlett, P. Ravikumar, and V. Cevher
  Consistency of \ell_1-regularized maximum likelihood for compressive Poisson regression, ICASSP 2015.
• Y.-H. Li and V. Cevher
  Barrier smoothing for nonsmooth convex minimization, ICASSP 2014.
• Q. Tran-Dinh, Y.-H. Li, and V. Cevher
  An interpretation of the Moore-Penrose generalized inverse of a singular Fisher information matrix, IEEE Trans. Signal Process., 2012.
• Y.-H. Li and P.-C. Yeh
  Adaptive precoder selection for multicast broadcast services in MIMO-OFDMA systems, VTC-Spring 2010.
• H.-C. Hu, Y.-H. Li, and P.-C. Yeh
  MIMO-OFDM PHY integrated (MOPI) scheme for confidential wireless transmission, WCNC 2010.
• J.-P. Cheng, Y.-H. Li, P.-C. Yeh, and C.-M. Cheng
  Performance analysis for type-II hybrid ARQ systems, GLOBECOM 2008.
  Y.-H. Kao, Y.-H. Li, W.-A. Lin, H.-C. Hu, and P.-C. Yeh

• Wen-Han Png, Ting Hsu, Tze-Wei Liu, Guin-Dar Lin, Ming-Shien Chang, Quantum computing with trapped ions: An overview. IEEE Nanotechnology Magazine (2022). Accepted.
• H. H. Jen, G.-D. Lin, and Y.-C. Chen, Resonant dipole-dipole interactions in electromagnetically induced transparency. Phys. Rev. A 105, 063711 (2022)
• Y.-C. Shen and G.-D. Lin*, Scalable quantum computing stabilised by optical tweezers on an ion crystal. New Journal of Physics 22, 053032 (2020).
• H. H. Jen*, M.-S. Chang, G.-D. Lin, and Y.-C. Chen, Subradiance dynamics in a singly excited chirally coupled atomic chain. Phys. Rev. A 101, 023830 (2020).
• T. H. Chang, G.-D. Lin and H.-H. Jen*, Spectral shaping of the biphoton state from multiplexed thermal atomic ensembles. Journal of Physics B: Atomic, Molecular and Optical Physics 53, 085403 (2020).
• Kuan-Ting Lin, Ting Hsu, Chen-Yu Lee, Io-Chun Hoi, Guin-Dar Lin*, Scalable collective Lamb shift of a 1D superconducting qubit array in front of a mirror. Scientific Reports 9, 19175 (2019).
• P. Y. Wen*, K.-T. Lin*, A. F. Kockum*, B. Suri, H. Ian, J. C. Chen, S. Y. Mao, C. C. Chiu, P. Delsing, F. Nori, G.-D. Lin, and I.-C. Hoi*, Large collective Lamb shift of two distant superconducting artificial atoms. Phys. Rev. Lett. 123, 233602 (2019).
• T. H. Chang, G.-D. Lin, and H. H. Jen*, Spectrally entangled biphoton state of cascade emissions from a Doppler-broadened atomic ensemble. Journal of Physics B: Atomic, Molecular and Optical Physics 52(13), 135501 (2019).
• Yen-Yu Lai, Guin-Dar Lin, Jason Twamley, and Hsi-Sheng Goan*, Single-nitrogen-vacancy-center quantum memory for a superconducting flux qubit mediated by a ferromagnet, Phys. Rev. A 97, 052303 (May, 2018).
• G.-D. Lin* and Luming Duan, Sympathetic cooling in a large ion crystal, Quantum Information Processing 15, 5299--5313 (December, 2016).
• Ching-Kit Chan*, G.-D. Lin, Susanne F. Yelin, and Mikhail D. Lukin, Quantum interference between independent reservoirs in open quantum systems, Phys. Rev. A 89, 042117 (April, 2014).
• G.-D. Lin* and S. F. Yelin*, Vibrational spectroscopy of polar molecules with superradiance, Molecular Physics, 111:12-13, 1917-1922 (2013).
• Simcha Korenblit, Dvir Kafri, Wess C. Campbell, Rajibul Islam, Emily E. Edwards, Zhe-Xuan Gong, Guin-Dar Lin, Luming Duan, Jungsang Kim, Kihwan Kim, and Chris Monroe*, Quantum simulation of spin models on an arbitrary lattice with trapped ions, New Journal of Physics 14, 095024 (September, 2012).
• G.-D. Lin and S. F. Yelin, Superradiance: an integrated approach to cooperative effects in various systems, Advances in Atomic Molecular Optical Physics 61, Elsevier, Chapter 6, p295--329 (July, 2012). ISBN: 978-0-12-396482-3.
• G.-D. Lin and S. F. Yelin, Superradiance in spin-j particles: Effects of multiple levels, Phys. Rev. A 85, 033831 (March, 2012).
• K. Kim, S. Korenblit, R. Islam, E. E. Edwards, M.-S. Chang, C. Noh, H. Carmichael, G.-D. Lin, L.-M. Duan, C. C. Joseph Wang, J. K. Freericks, and C. Monroe, Quantum simulation of the transverse Ising model with trapped ions, New Journal of Physics 13, 105003 (October, 2011).
• G.-D. Lin and L.-M. Duan, Equilibration and temperature distribution in a driven ion chain, New Journal of Physics 13, 075015 (July, 2011).
• R. Islam, E. E. Edwards, K. Kim, S. Korenblit, C. Noh, H. Carmichael, G.-D. Lin, L.-M. Duan, C.-C. Wang, J. K. Freericks and C. Monroe, Onset of a Quantum Phase Transition with a Trapped Ion Quantum Simulator, Nature Communications 2, 377 (July, 2011).
• G.-D. Lin, C. Monroe, and L.-M. Duan, Sharp phase transition in a small frustrated network of trapped ion spins, Phys. Rev. Lett. 106, 230402 (June, 2011).
• Zhe-Xuan Gong, G.-D. Lin, and L.-M. Duan, Temperature-driven structural phase transition for trapped ions and a proposal for its experimental detection, Phys. Rev. Lett. 105, 265703 (December, 2010).
• E. E. Edwards, S. Korenblit, K. Kim, R. Islam, M.-S. Chang, J. K. Freericks, G.-D. Lin, L.-M. Duan, and C. Monroe, Quantum simulation and phase diagram of the transverse-field Ising model with three atomic spins, Phys. Rev. B 82, 060412 (August, 2010).
• K. Kim, M.-S. Chang, S. Korenblit, R. Islam, E. E. Edwards, J. K. Freericks, G.-D. Lin, L.-M. Duan and C. Monroe, Quantum simulation of frustrated Ising spins with trapped ions, Nature 465, 590 (June, 2010).
• G.-D. Lin, S.-L. Zhu, R. Islam, K. Kim, M.-S. Chang, S. Korenblit, C. Monroe, L.-M. Duan, Large-scale quantum computation in an anharmonic linear ion trap, Europhys. Lett. 86, 60004 (June, 2009).
• Wei Zhang, G.-D. Lin, L.-M. Duan, Berezinskii-Kosterlitz-Thouless transition in a trapped quasi-two-dimensional Fermi gas near a Feshbach resonance, Phys. Rev. A 78, 043617 (October, 2008).
• Wei Zhang, G.-D. Lin, L.-M. Duan, BCS-BEC crossover of a quasi-two-dimensional Fermi gas: the significance of dressed molecules, Phys. Rev. A 77, 063613 (June, 2008).
• G.-D. Lin, Wei Zhang, and L.-M. Duan, Characteristics of Bose-Einstein condensation in an optical lattice, Phys. Rev. A 77, 043626 (April, 2008).
• W. Yi, G.-D. Lin, and L.-M. Duan, Signal of Bose condensation in an optical lattice at finite temperature, Phys. Rev. A 76, 031602(R) (September, 2007).
• G.-D. Lin, W. Yi, and L.-M. Duan, Superfluid shells for trapped fermion with mass and population imbalance, Phys. Rev. A 74, 031604(R) (September, 2006).

• “Protected Gapless Edge States In Trivial Topology”, Yun-Chung Chen, Yu-Ping Lin, Ying-Jer Kao, arXiv:2206.04858.
• “Variational Quantum Reinforcement Learning via Evolutionary Optimization”, Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Hsi-Sheng Goan, Ying-Jer Kao, Mach. Learn.: Sci. Technol. 3 015025(2022), arXiv:2109.00540.
• “Excitation spectrum of spin-1 Kitaev spin liquids”, Yu-Hseuh Chen, Jozef Genzor, Yong Baek Kim, Ying-Jer Kao, Phys. Rev. B 105, L060403(2022), arXiv:2107.04730.
• “Phase structure of the CP(1) model in the presence of a topological θθ-term”, Katsumasa Nakayama, Lena Funcke, Karl Jansen, Ying-Jer Kao, Stefan Kühn, Phys. Rev. D 105, 054507 (2022), arXiv:2107.14220.
• “J1-J2 fractal studied by multi-recursion tensor-network method”, Josef Genzor, Andrej Gendiar, Ying-Jer Kao,Phys. Rev. E 105, 024124(2022), arXiv:2107.11406.
• “Two-wire Junction of Inequivalent Tomonaga-Luttinger Liquids”, Yao-Tai Kang, Chung-Yu Lo, Masaki Oshikawa, Ying-Jer Kao, Pochung Chen, Phys. Rev. B, 104, 235142(2021), arXiv:2105.03104
• “Detecting transition between Abelian and non-Abelian topological orders through symmetric tensor networks”, Yu-Hsueh Chen, Ching-Yu Huang, and Ying-Jer Kao, Phys. Rev. B 104, 045131(2021), arXiv:2102.10980.
• “Neural Monte Carlo Renormalization Group”, Jui-Hui Chung, Ying-Jer Kao, Phys. Rev. Research 3, 023230(2021), arXiv:2010.05703.
• “An end-to-end trainable hybrid classical-quantum classifier”, Samual Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao, Mach. Learn.: Sci. Technol. 2 045021 (2021), arXiv:2102.02416.
• “Emergent Snake Magnetic Domains in Canted Kagome Ice”, Wen-Han Kao, Gia-Wei Chern, Ying-Jer Kao , Phys. Rev. Res, 2, 023046, arXiv:1908.05872.
• “Entanglement Renyi negativity across a finite temperature transition: a Monte Carlo study”,Kai-Hsin Wu, Tsung-Cheng Lu, Chia-Min Chung, Ying-Jer Kao, Tarun Grover, Phys. Rev. Lett. 125, 140603(2020),arXiv:1912.03313.
• “Hybrid quantum-classical classifier based on tensor network and variational quantum circuit”, Samual Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao, arXiv:2011.14651.
• “Optimal Real-Space Renormalization-Group Transformations with Artificial Neural Networks”, Jui-Hui Chung, Ying-Jer Kao, arXiv:1912.09005, proceeding of Workshop on Machine Learning and the Physical Sciences at the 33rd Conference on Neural Information Processing Systems (NeurIPS).
• “Phase structure of the 1+ 1 dimensional massive Thirring model from matrix product states”, Mari Carmen Bañuls, Krzysztof Cichy, Ying-Jer Kao, C-J David Lin, Yu-Ping Lin, David T-L Tan,Phys. Rev. D, 100, 094504 (2019), arXiv:1908.04536.
• “Generation of ice states through deep reinforcement learning”, Kai-Wen Zhao, Wen-Han Kao, Kai-Hsin Wu, and Ying-Jer Kao, Phys. Rev. E 99, 062106 (2019), arXiv:1903.04698.
• “Tunneling-induced restoration of classical degeneracy in quantum kagome ice”, Kai-Hsin Wu, Yi-Ping Huang, and Ying-Jer Kao,Phys. Rev. B 99, 134440 (2019), arXiv:1806.08145.
• “Crossover of correlation functions near a quantum impurity in a Tomonaga-Luttinger liquid”, Chung-Yu Lo (羅中佑), Yoshiki Fukusumi (福住吉喜), Masaki Oshikawa (押川正毅), Ying-Jer Kao (高英哲), and Pochung Chen (陳柏中),Phys. Rev. B 99, 121103(R) (2019), arXiv:1805.05006.
• “Phase boundary location with information-theoretic entropy in tensor renormalization group flows”, Adil A. Gangat, Ying-Jer Kao, Phys. Rev. B 100, 094430 (2019), arXiv:1901.08193.
• “Gapless spin liquid in the kagome Heisenberg antiferromagnet with Dzyaloshinskii-Moriya interactions”, Chih-Yuan Lee, B. Normand, and Ying-Jer Kao, Phys. Rev. B 98, 224414 (2018),arXiv:1809.09128.
• “Tensor Network study of the (1+1)-dimensional Thirring Model”, Mari-Carmen Bañuls, Krzysztof Cichy, Ying-Jer Kao, C.-J. David Lin, Yu-Ping Lin, David Tao-Lin Tan, EPJ Web Conf. 175, 2018 .
• “Symmetry between repulsive and attractive interactions in driven-dissipative Bose-Hubbard systems”, Adil A. Gangat, Ian P. McCulloch and Ying-Jer Kao, Sci. Rep. 8, 3698 (2018).
• “Dynamic scaling in the two-dimensional Ising spin glass with normal-distributed couplings”, Na Xu, Kai-Hsin Wu, Shanon J. Rubin, Ying-Jer Kao, and Anders W. Sandvik, Phys. Rev. E 96, 052102 (2017).
• “Griffiths singularities in the random quantum Ising antiferromagnet: A tree tensor network renormalization group study”, Yu-Ping Lin, Ying-Jer Kao, Pochung Chen, and Yu-Cheng Lin, Phys. Rev. B 96, 064427 (2017).
• “Steady States of Infinite-Size Dissipative Quantum Chains via Imaginary Time Evolution”, Adil A. Gangat, Te I, and Ying-Jer Kao, Phys. Rev. Lett. 119, 010501 (2017).
• “Quantum phase transitions driven by rhombic-type single-ion anisotropy in the S=1 Haldane chain”, Yu-Chin Tzeng (曾郁欽), Hiroaki Onishi (大西弘明), Tsuyoshi Okubo (大久保毅), and Ying-Jer Kao (高英哲),Phys. Rev. B 96, 060404(R) (2017).
• “Incommensurate spin density wave as a signature of spin-orbit coupling and precursor of topological superconductivity”, Aaron Farrell, P.-K. Wu, Y.-J. Kao, and T. Pereg-Barnea, Phys. Rev. B 94, 214424 (2016)
• “Field-induced ordering in dipolar spin ice”, Wen-Han Kao (高文瀚), Peter C. W. Holdsworth, and Ying-Jer Kao (高英哲),Phys. Rev. B 93, 180410(R) (2016).

Journal articles & book chapters:

• Hsiao, Y., Su, B. H., & Tseng, Y. J.* (2020). Current development of integrated web servers for preclinical safety and pharmacokinetics assessments in drug development. Briefings in Bioinformatics.
• Lin, C., Wang, P. H., Hsiao, Y., Chan, Y. T., Engler, A. C., Pitera, J. W., ... & Tseng, Y. J.* (2020). Essential Step Toward Mining Big Polymer Data: PolyName2Structure, Mapping Polymer Names to Structures. ACS Applied Polymer Materials, 2(8), 3107-3113.
• Kuo, T. C., & Tseng, Y. J.* (2018). LipidPedia: a comprehensive lipid knowledgebase. Bioinformatics, 1, 6.
• Tseng, Y. J.*, Esposito, E., Lin, F. Y. (2018) LeadOp+R: Structure-based lead optimization with synthetic accessibility. Frontiers in Pharmacology, Provisionally accepted.
• Chao, H. C., Chen, G. Y., Hsu, L.C., Liao, H. W., Yang, S. Y., Wang, S. Y., Li, Y. L., Tang, S. C., Tseng, Y. J., Kuo, C. H*. (2017) Using precursor ion scan of 184 with liquid chromatography-electrospray ionization-tandem mass spectrometry for concentration normalization in cellular lipidomic studies. Analytica Chimica Acta, 971, 68-77.
• Lee, M. Y., Lin, Y. R., Tu, Y. S., Tseng, Y. J., Chan, M. H.*, Chen, H. H.* (2017) Effects of sarcosine and N, N-dimethylglycine on NMDA receptor-mediated excitatory field potentials. Journal of Biomedical Science. 24 (1), 18
• Schurz, A., Su, B. H., Tu, Y. S., Lu, T. Y., Lin, O. A., Tseng, Y. J.* (2017) G.A.M.E.: GPU-accelerated mixture elucidator. Journal of Cheminformatics, 9:50.
• Chen, H. L., Lu, T. Y., Hsu, C. C., Tseng, Y. J. , Lim, T. S., Chen, P. Y. (2017) Directly monitor protein rearrangement on a nanosecondto-millisecond time-scale. Scientific Reports, 7:8691.
• Chang, C. H., Chung, C. H., Tu, Y. S., Tsai, C. C., Hsu, C. C., Peng, H. C., Tseng, Y. J.* , Huang, T. F. (2017) Trowaglerix venom polypeptides as a novel antithrombotic agent by targeting immunoglobulin-like domains of Glycoprotein VI in Platelet. Arteriosclerosis Thrombosis And Vascular Biology, 37, 1307-1314.
• Chao, H. C., Chen, G. Y., Hsu, L. C., Liao, H. W., Yang, S. Y., Wang, S. Y., Li, Y. L., Tang, S. C., Tseng, Y. J. , Kuo C. H. (2017) Using precursor ion scan of 184 with liquid chromatography-electrospray ionization-tandem mass spectrometry for concentration normalization in cellular lipidomic studies. Analytica Chimica Acta, 971, 68-77.
• Lee, M. Y., Lin, Y. R., Tu, Y. S., Tseng, Y. J. , Chan, M. H., Chen, H. H. (2017) Effects of sarcosine and N, N-dimethylglycine on NMDA receptor-mediated excitatory field potentials. Journal of Biomedical Science , 24(1), 18-28.
• Shen, C. Y., Kuo, C. .H.. Wang, S. Y., Yang, W. Q., Kuo, C. T., Tseng, Y. J.* , Tsai , M. H. (2016) Distinct metabolic changes in human lung cancer cells with differential radiation sensitivities. Translational Cancer Research, 5(6), 738-747.
• Hsieh, P. L., Tseng, C. H., Tseng, Y. J. , Yang W. S.(2016). Resistance Training Improves Muscle Function and Cardiometabolic Risks But Not Quality of Life in Older People With Type 2 Diabetes Mellitus: A Randomized Controlled Trial. Journal of Geriatric Physical Therapy, 00:1-12.
• Tian, T. F., Wang, S. Y., Kuo, T. C., Tan, C. E., Chen, G. Y., Kuo, C. H., Chen, C. H., Chan, C. C., Lin, O., Tseng, Y. J.* (2016) A Web Server for Peak Detection, Baseline Correction and Alignment in Two-dimensional Gas Chromatography Mass Spectrometry-based Metabolomics Data. Analytical Chemistry, 88(21), 10395-10403.
• Huang, S. W.; Kuo, H. L.; Hsu, M. T.; Tseng, Y. J. ; Lin, S. W.; Kuo, S. C.; Peng, H. C.; Lien, J. C.; Huang, T. F. (2016). A novel thromboxane receptor antagonist, nstpbp5185, inhibits platelet aggregation and thrombus formation in animal models. Thrombosis and haemostasis, 116.
• Tzeng, T. H., Kuo, C. Y., Wang, S. Y., Huang, P. K., Huang, Y. M., Hsieh, W. C., Huang, Y. J., Lee, S. C., Tian, W. C., Lu, S. S., Tseng, Y. J. (2016). A Portable Micro Gas Chromatography System for Lung Cancer Associated Volatile Organic Compound Detection. IEEE Journal of Solid-State Circuits, 51(1), 259-272.
• Hsu, K. H.; Su, B. H.; Tu, Y. S.; Lin, O. A.; Tseng, Y. J.* (2016). Mutagenicity in a Molecule: Identification of Core Structural Features of Mutagenicity Using a Scaffold Analysis. PloS one, 11(2) e0148900.
• Chiu, H. H., Tsai, S. J., Tseng, Y. J. , Wu, M. S., Liao, W. C., Huang, C. S., Kuo, C. H. (2015). An efficient and robust fatty acid profiling method for plasma metabolomic studies by gas chromatography–mass spectrometry. Clinica Chimica Acta, 451, 183-190.
• Lai, Y. S., Chen, W. C., Kuo, T. C., Ho, C. T., Kuo, C. H., Tseng, Y. J. , Lu, K. H., Lin, S. H., Panyod S., & Sheen, L. Y. (2015). Mass-spectrometry-based serum metabolomics of a C57BL/6J mouse model of high-fat-diet-induced non-alcoholic fatty liver disease development. Journal of Agricultural and Food Chemistry, 63(35), 7873-7884.
• Chen, G. Y., Liao, H. W., Tsai, I.L., Tseng, Y. J. , & Kuo, C. H., (2015). Using the matrix-induced ion suppression method for concentration normalization in cellular metabolomics studies. Analytical chemistry, 87(19), 9731-9739.
• Lin, M. I., Su, B. H., Lee, C. H., Wang, S. T., Wu, W. C., Dangate, P., Wang, S. Y., Huang, W. I., Cheng,T. J., Lin, O. A., Cheng, Y. S., Tseng, Y. J.* , & Sun, C. M. (2015). Synthesis and inhibitory effects of novel pyrimido-pyrrolo-quinoxalinedione analogues targeting nucleoproteins of influenza A virus H1N1. European journal of medicinal chemistry, 102, 477-486.
• Lai, Y. S., Chen, W. C., Kuo, T. C., Ho, C. T., Kuo, C. H., Tseng, Y. J. , ... & Sheen, L. Y. (2015). Mass spectrometry-based serum metabolomics of a C57BL/6J mouse model of high-fat diet induced nonalcoholic fatty liver disease development. Journal of Agricultural and Food Chemistry, 63(35), 7873-7884.
• Esposito, E. X., Hopfinger, A. J., Shao, C. Y., Su, B. H., Chen, S. Z., & Tseng, Y. J. (2015). Exploring possible mechanisms of action for the nanotoxicity and protein binding of decorated nanotubes: Interpretation of physicochemical properties from optimal QSAR models. Toxicology and applied pharmacology, 288(1), 52-62.
• Su, B. H., Tu, Y. S., Lin, C, Shao, C. Y., Lin, O. A., & Tseng, Y. J.* (2015). Rule-based Prediction Models of Cytochrome P450 Inhibition. Journal of chemical information and modeling, 55(7), 1426-1434.
• Chen H. H., Tseng, Y. J. , Wang, S. Y., Tsai, Y. S., Chang, C. S., Kuo, T. C., Yao, W. J., Shieh, C. C., Wu, C. H., & Kuo, P. H. (2015). The metabolome profiling and pathway analysis in metabolic healthy and abnormal. International Journal of Obesity, 39(8), 1241-1248.
• Su, B. H., Tu, Y. S., Lin, O. A., Harn, Y. C., Shen, M. Y., & Tseng, Y. J.* (2015). Rule-based Classification Models of Molecular Autofluorescence. Journal of chemical information and modeling, 55(2), 434-445. (IF =3.65, Ranking = 6/144, 4%, Category: Computer science, Information systems)
• Wang, S. Y., Kuo, C. H., & Tseng, Y. J.* (2015). An Ion Trace Detection Algorithm to Extract Pure Ion Chromatograms to Improve Untargeted Peak Detection Quality for Liquid Chromatography/Time-of-Flight Mass Spectrometry-based Metabolomics Data. Analytical chemistry, 87(5), 3048-3055.
• Shao, C. Y., Su, B. H., Tu, Y. S., Lin, C., Lin, O. A., & Tseng, Y. J.* (2015). CypRules: A rule-based P450 inhibition prediction server. Bioinformatics, 31(11), 1869-1871.
• Hung, C. S., Li, H. Y., Kuo, C. H., Lin, M. S., Kuo, T. C., Tsai, S. J., Liu, P. H., Lin, C. H., Yang, C.Y., Chuang, L.M., Chen, M.F., Tseng, Y. J.*, & Kao, H. L. (2015). Fasting But Not Changes of Plasma Metabolome During Oral Glucose Tolerance Tests Improve the Diagnosis of Severe Coronary Arterial Stenosis. Clinical endocrinology.
• Chen, G. Y., Chiu, H. H., Lin, S. W., Tseng, Y. J. , Tsai, S. J., & Kuo, C. H. (2015). Development and application of a comparative fatty acid analysis method to investigate voriconazole-induced hepatotoxicity. Clinica Chimica Acta, 438, 126-134.
• Lin, S. W., Kang, W. Y., Lin, D. T., Lee, J. C., Wu, F. L. L., Chen, C. L., & Tseng, Y. J.* (2014). Comparison of warfarin therapy clinical outcomes following implementation of an automated mobile phone-based critical laboratory value text alert system. BMC medical genomics, 7(1), 1.
• Su, B. H., Huang, Y. S., Chang, C. Y., Tu, Y. S., & Tseng, Y. J.* (2013). Template-Based de Novo Design for Type II Kinase Inhibitors and Its Extended Application to Acetylcholinesterase Inhibitors. Molecules, 18(11), 13487-13509.
• Tsai, I. L., Weng, T. I., Tseng, Y. J. , Tan, H. K. L., Sun, H. J., & Kuo, C. H. (2013). Screening and Confirmation of 62 Drugs of Abuse and Metabolites in Urine by Ultra-High-Performance Liquid Chromatography–Quadrupole Time-of-Flight Mass Spectrometry. Journal of analytical toxicology, 37(9), 642-651.
• Liu, C. T., Raghu, R., Lin, S. H., Wang, S. Y., Kuo, C. H., Tseng, Y. J. , & Sheen, L. Y. (2013). Metabolomics of ginger essential oil against alcoholic fatty liver in mice. Journal of agricultural and food chemistry, 61(46), 11231-11240.
• Kuo, T. C., Tian, T. F., & Tseng, Y. J.* (2013). 3Omics: a web-based systems biology tool for analysis, integration and visualization of human transcriptomic, proteomic and metabolomic data. BMC systems biology, 7(1), 64.
• Tsai, I. L., Kuo, T. C., Ho, T. J., Harn, Y. C., Wang, S. Y., Fu, W. M., ... & Tseng, Y. J.* (2013). Metabolomic dynamic analysis of hypoxia in MDA-MB-231 and the comparison with inferred metabolites from transcriptomics data. Cancers, 5(2), 491-510.
• Huang, C. C., McDermott, M. M., Liu, K., Kuo, C. H., Wang, S. Y., Tao, H., & Tseng, Y. J.* (2013). Plasma metabolomic profiles predict near-term death among individuals with lower extremity peripheral arterial disease. Journal of vascular surgery, 58(4), 989-996.
• Tseng, Y. J.* , Martin, E., Bologa, C. G., & Shelat, A. A. (2013). Cheminformatics aspects of high throughput screening: from robots to models: symposium summary. Journal of computer-aided molecular design, 27(5), 443-453.
• Tseng, Y. J. , Kuo, C. T., Wang, S. Y., Liao, H. W., Chen, G. Y., Ku, Y. L., Shao, W.C., & Kuo, C. H. (2013). Metabolomic characterization of rhubarb species by capillary electrophoresis and ultra‐high‐pressure liquid chromatography. Electrophoresis, 34(19), 2918-2927.
• Chang, C. Y., Hsu, M. T., Esposito, E. X., & Tseng, Y. J.* (2013). Oversampling to overcome overfitting: exploring the relationship between data set composition, molecular descriptors, and predictive modeling methods. Journal of chemical information and modeling, 53(4), 958-971.
• Ho, T. J., Kuo, C. H., Wang, S. Y., Chen, G. Y., & Tseng, Y. J.* (2013). True ion pick (TIPick): a denoising and peak picking algorithm to extract ion signals from liquid chromatography/mass spectrometry data. Journal of Mass Spectrometry, 48(2), 234-242.
• Tsai, D. M., Kang, J. J., Lee, S. S., Wang, S. Y., Tsai, I. L., Chen, G. Y., Liao, H. W., Li, W.C., Kuo, C.H., & Tseng, Y. J.* (2013). Metabolomic analysis of complex Chinese remedies: examples of induced nephrotoxicity in the mouse from a series of remedies containing aristolochic acid. Evidence-Based Complementary and Alternative Medicine, 2013.
• Shao, C. Y., Chen, S. Z., Su, B. H., Tseng, Y. J.* , Esposito, E. X., & Hopfinger, A. J. (2013). Dependence of QSAR models on the selection of trial descriptor sets: a demonstration using nanotoxicity endpoints of decorated nanotubes. Journal of chemical information and modeling, 53(1), 142-158.
• Wang, K. C., Wang, S. Y., Kuo, C. H., & Tseng, Y. J.* (2012). Distribution-based classification method for baseline correction of metabolomic 1D proton nuclear magnetic resonance spectra. Analytical chemistry, 85(2), 1231-1239.
• Wang, S. Y., Kuo, C. H., & Tseng, Y. J.* (2012). Batch Normalizer: a fast total abundance regression calibration method to simultaneously adjust batch and injection order effects in liquid chromatography/time-of-flight mass spectrometry-based metabolomics data and comparison with current calibration methods. Analytical chemistry, 85(2), 1037-1046.
• Jansen, J. M., Amaro, R. E., Cornell, W., Tseng, Y. J. , & Walters, W. P. (2012). Computational chemistry and drug discovery: a call to action. Future medicinal chemistry, 4(15), 1893-1896.
• Jansen, J. M., Cornell, W., Tseng, Y. J.* , & Amaro, R. E. (2012). Teach–Discover–Treat (TDT): Collaborative computational drug discovery for neglected diseases. Journal of Molecular Graphics and Modelling, 38, 360-362.
• Su, B. H., Tu, Y. S., Esposito, E. X., & Tseng, Y. J.* (2012). Predictive toxicology modeling: protocols for exploring hERG classification and Tetrahymena pyriformis end point predictions. Journal of chemical information and modeling, 52(6), 1660-1673.
• Kuo, C. H., Wang, K. C., Tian, T. F., Tsai, M. H., Chiung, Y. M., Hsiech, C. M., Tsai, S. J , Wang, S. Y., Tsai, D. M., Huang, C.C., & Tseng, Y. J.* (2012). Metabolomic characterization of laborers exposed to welding fumes. Chemical research in toxicology, 25(3), 676-686.
• Tseng, Y. J. , Hopfinger, A. J., & Esposito, E. X. (2012). The great descriptor melting pot: mixing descriptors for the common good of QSAR models. Journal of computer-aided molecular design, 26(1), 39-43.

Journal articles & book chapters:

• View-Based Federated Byzantine Agreement System for Environmental Blockchain
  Y. Liao, Y. Su, H. Tsai, K. Chiang, S. Harding, M. Sie, S. Liao
  Blockchain, Robotics and AI for Networking Security Conference, 2021
• Multi-Layer Aggregate Verification for IoT Blockchain
  J. Wu, M. Sie, S. Harding, C. Lin, S. Wang, S. Liao
  Blockchain, Robotics and AI for Networking Security Conference, 2021
• Preliminary Studies in Optimizing Deep Learning for Computer Vision:
  Memory Traffic Analysis Across CNN Layers
  P. Liao, W. Hsu, S. Liao
  CTHPC 2021, May 2021
• Intra- and Inter- Layer Transformation to Reduce Memory Traffic for CNN Computation
  P. Liao, W. Hsu, S. Liao
  ICPP-EMS, August 2021
• Statistical models and stochastic optimization in financial technology and investment science
  T. Lai, S. Liao, S. Wong, H. Xu
  Annals of Mathematical Sciences and Applications, Volume 5, Number 2, 2020, pages 317–345
• Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology
  W. Fu, Y. Lin, G. Campagna, C. Liu, D. Tsai, C. Mei, E. Chang, S. Liao, M. Lam.
  IEEE Infrastructure Conference, 2020
• 3-To-1 Pipeline: Restructuring Transfer Learning Pipelines for Medical Image Classification via Optimized GAN Synthetic Images
  R. Choong, S. Harding, B. Tang, S. Liao,
  EMBC 2020 (IEEE Engineering in Medicine and Biology Society), 2020
• Endex: Degree of Mining Power Decentralization for Proof-of-Work Based Blockchain Systems
  R. Chen, I. Tu, K. Chuang, Q. Lin, S. Liao, W. Liao,
  IEEE Network, 12 August 2020
• 純網銀如何克服 監理與資安兩大痛點 S. Liao
• Cover Story: FinTech, RegTech and Security S. Liao
  invited article, Bankers Magazine, September 2019
• RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
  P. Wu, Y. Lin, C. Chang, E. Chang, S. Liao
  IEEE International Conference on Computer Vision, 2019
• Autonomous and malware-proof blockchain-based firmware update platform with efficient batch verification for Internet of Things devices
  J. Hu, L. Yeh, S. Liao, C. Yang
  Computers & Security, 2019
• Reinforcement Learning for Improving the Accuracy of PM2.5 Pollution Forecast Under the Neural Network Framework
  S. Chang, C. Chang, L. Li, S. Liao
  IEEE Access, 2019
• Sensor Data Compression using Bounded Error Piecewise Linear Approximation and Resolution Reduction
  J. Lin, S. Liao, F. Leu
  Energies Journal，2019
• An Evaluation of Bitcoin Address Classification based on Transaction History Summarization
  Yu-Jing Lin, Po-Wei Wu, Cheng-Han Hsu, I-Ping Tu, and Shih-wei Liao
  IEEE International Conference on Blockchain and Cryptocurrency, 2019
• DeepLinQ: Distributed Multi-Layer Ledgers for Privacy-Preserving Data Sharing
  Shih-Wei Liao , Edward Y. Chang , Chun-Ting Liu , Wei-Chen Lin, Pin-Wei Liao , Wei-Kang Fu , Chung-Huan Mei and Emily J. Chang
  IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR 2018), 2018
• Personalized Difficulty Adjustment for Countering the Double-Spending Attack in Proof-of-Work Consensus Protocols
  Chi-Ning Chou, Yu-Jing Lin, Ren Chen, Hsiu-Yao Chang, I-Ping Tu, Shih-wei Liao
• Dynamic Difficulty Scheme in Bitcoin System: A Distributed and Balanced Consensus Network
  IEEE Blockchain Conference, 2018
• Governance on the Drug Supply Chain via Gcoin Blockchain
  J.H. Tseng, Y. Liao, B. Chong, S.i Liao
  International Journal of Environmental Research and Public Health. 2018
• Applying Blockchain to An Automated Clearinghouse System
  Y. Liao, J. Tseng, S. Liao
  The 23rd Annual Tanet Proceeding, Pages 640-645, October 2017
• A Profile-Guided Synergistic Computation Framework for Halide
  S. Liao, C. Kao, Y. Shimizu
  Journal of Systems Architecture (JSA), 2017
• Blockchain: The evolutionary next step for ICT e-Agriculture
  Y. Lin, J. Petway, J. Anthony, H. Mukhtar, S. Liao, C. Chou, Y. Ho
  Environments 2017, 4(3), 50
• A Halide-based Synergistic Computing Framework for Heterogeneous Systems
  S. Liao, S. Kuang, C. Kao, C.Tu
  Journal of Signal Processing Systems (JSPS), 2017
• Deadline Is Not Enough: Importance-Aware Transmission Control Protocol for Server-Centric Data Centers
  M. Chen, S. Wang, S. Liao, I. Chung, C. Chou
  IEEE Systems Journal, Volume:PP, Issue:99, 2016
• Locality-aware scheduling for stencil code in Halide
  S. Liao, S. Tsai, C. Yang, C. Lo
  ICPP-EMS 2016
• Gcoin whitepape
  S. Liao
  Gcoin foundation 2016
• Machine Learning-Based Configuration Parameter Tuning on Hadoop System.
  C. Chen, Y. Zhuo, C. Yeh, C. Lin, S. Liao
  BigData Congress, 2015, pp. 386-392.
• High-level compute APIs and performance portability on Android.
  S. Liao
  The 11th IEEE Symposium on Embedded Systems for Real-time Multimedia, 2013.
• Design and Implementation of High-Level Compute on Android Systems
  Hung-Shuen Chen, Jr-Yuan Chiou, Cheng-yan Yang, Yi-jui Wu, Wei-chung Hwang, Hao-Chien Hung, Shih-wei Liao
  ESTIMEDIA 2013
• RS2CL: A Renderscript-to-OpenCL translator.
  Jr-Yuan Chiou, Hung-Shuen Chen, Cheng-Yan Yang, Yi-Jui Wu, Bo-Yu Lin
  APPLC 2013
• O2render : An OpenCL-to-Renderscript Translator for Porting Across Various GPUs or CPUs
  Cheng-yan Yang, Yi-jui Wu, Steven Liao
  ESTIMEDIA 2012
• Android RenderScript on Low-Level Virtual Machine
  S. Liao
  Linux Foundation Collaboration Summit, 2011.
• Taming hardware event samples for FDO compilation
  Dehao Chen, Neil Vachharajani, Robert Hundt, Shih-wei Liao, Vinodha Ramasamy, Paul Yuan, Wenguang Chen, Weimin Zheng
  CGO 2010: 42-52
• Prefetch optimizations on large-scale applications via parameter value prediction
  Shih-wei Liao, Tzu-Han Hung, Donald Nguyen, Hucheng Zhou, Chinyen Chou, Chia-Heng Tu
  ICS 2009: 519-520
• Machine Learning-Based Prefetch Optimization for Data Center Applications
  S. Liao, T. Hung, D. Nguyen, C. Chou, C. Tu, H. Zhou,
  Proceedings of Supercomoputing 2009
• Prefetch Optimization on Large-scale Applications via Parameter Value Prediction
  S. Liao, T. Hung, H. Zhou, D. Nguyen, C. Chou, C. Tu,
  ACM International Conference on Supercomoputing, Pages: 519-520, June 2009.

• Y. Shee, P.-K. Tsai, C.-L. Hong, H.-C. Cheng and H.-S. Goan, A Qubit-Efficient Encoding Scheme for Quantum Simulation of Electronic Structure, Phys. Rev. Research 4, 023154 (2022)
• S. Y.-C. Chen, C.-M. Huang, C.-W. Hsing, H.-S. Goan, Y.-J. Kao, Variational Quantum Reinforcement Learning via Evolutionary Optimization, Mach. Learn.: Sci. Technol, 3 (2022)
• Chen, C.-C.; Stace, T.M.; Goan, H.-S., Full-polaron master equation approach to dynamical steady states of a driven two-level system beyond the weak system-environment coupling, Phys. Rev. B 102, 035306, (2020)
• Chen, S.Y.-C.; Yang, C.-H.H.; Qi, J.; Chen, P.-Y.; Ma, X.; Goan, H.-S., Variational Quantum Circuits for Deep Reinforcement Learning, in IEEE Access, vol. 8, pp. 141007-141024, (2020)
• Jian, C.-C.; Su, Y.-L.; Lohrey, T.; Lee, Y.-L.; Goan, H.-S., Low Attenuation Dichroic Sub-Reflector for Wide Incident Angles for Ka/Ku Band Satellite Antenna Systems: An ECA Analysis, 2020 14th European Conference on Antennas and Propagation (EuCAP), (2020), pp. 1-5
• Chang, Y.-C.; Karimi, B.; Senior, J.; Ronzani, A.; Peltonen, J.T.; Goan, H.-S.; Chen, C.-D.; Pekola, J.P., Utilization of the superconducting transition for characterizing low-quality-factor superconducting resonators, Appl. Phys. Lett. 115, 022601 (2019)
• Hsieh, Y.-Y.; Su, Z.-Y.; Goan, H.-S., Non-Markovianity, information backflow, and system-environment correlation for open-quantum-system processes, Physical Review A 100, 012120 (2019)
• Huang, C.-H.; Yang, C.-H.; Chen, C.-C.; Dzurak, A.S.; Goan, H.-S., High-fidelity and robust two-qubit gates for quantum-dot spin qubits in silicon, Physical Review A 99, 042310 (2019)
• X. Meng, H.-S. Goan, J. Wang, R. Zhang, “Nonclassical thermal-state superpositions: Analytical evolution law and decoherence behavior”, Optics Communications 411, 15 (2018)
• V. Gudmundsson*, N. R. Abdullah, A. Sitek, H.-S. Goan*, C.-S. Tang*, A. Manolescu*, “Electroluminescence caused by the transport of interacting electrons through parallel quantum dots in a photon cavity”, arXiv:1706.03483; Accepted by Annalen der Physik (2017)
• Y.-J. Chang, T.-K. Yeh, C.-H. Wan, D. W. Utami, G. J. Milburn, and H.-S. Goan*, “Conditional counting statistics of electrons tunneling through quantum dot systems measured by a quantum point contact”, Physical Review B 96, 195440 (2017)
• Z. Zhou, Z. Lü*, H. Zheng*, H.-S. Goan*, “Quantum Zeno and anti-Zeno effects in open quantum systems”, Physical Review A 96, 032101 (2017)
• T. H. Jonssona, A. Manolescub, H.-S. Goan, N. R. Abdullahe, A. Sitekf, C.-S. Tangg, V. Gudmundssona, “Efficient determination of the Markovian time-evolution towards a steady-state of a complex open quantum system”, Computer Physics Communications, 220, 81 (2017)
• V. Gudmundsson, N. R. Abdullah, A. Sitek, H.-S. Goan, C.-S. Tang, A. Manolescu, “Time-dependent current into and through multilevel parallel quantum dots in a photon cavity”,. Physical Review B 95, 195307 (2017)
• C.-H. Huang and H.-S. Goan, “Robust quantum gates for stochastic time-varying noise”, Physical Review A 95, 062325 (2017)
• V. Gudmundsson, T. H. Jonsson, M. L. Bernodusson, N. R. Abdullah, A. Sitek, H-S. Goan, C.-S. Tang, and A. Manolescu, “Regimes of radiative and nonradiative transitions in transport through an electronic system in a photon cavity reaching a steady state”, Annalen der Physik 529, 1600177 (2017)
• M. Nespoli, H.-S. Goan*, and M.-H. Shih*, “Vernier-like super resolution with guided correlated photon pairs”, Optics Express 24, 300 (2016)
• C.-C. Chen, and H.-S. Goan*, “Effects of initial system-environment correlations on the open-quantum-system dynamics and state preparation”, Physical Review A 93, 032113 (2016)
• Z. Lü*, Y. Yan, H.-S. Goan*, H. Zheng*, “Bias-modulated dynamics of a strongly driven two-level system”, Physical Review A 93, 033803 (2016)
• D. Hu, S.-Y. Huang, J.-Q. Liao, L. Tian, and H.-S. Goan*,"Quantum Coherence in Ultrastrong Optomechanics", Phys. Rev. A 91, 013812 (2015)
• Y. Chou, S.-Y. Huang and H.-S. Goan*, “Optimal control of fast and high-fidelity quantum gates with electron and nuclear spins of a nitrogen-vacancy center in diamond”, Physical Review A 91, 052315 (2015)
• J.-S. Tai, K.-T. Lin, and H.-S. Goan*, “Optimal control of quantum gates in an exactly solvable non-Markovian open quantum bit system”, Physical Review A 89, 062310 (2014)
• S.-Y. Huang, and H.-S. Goan*, "Optimal control for fast and high-fidelity quantum gates in coupled superconducting flux qubits",Physical Review A 90, 012318 (2014)
• V. Gudmundsson*, O. Jonasson, T. Arnold, C.-S. Tang*, H.-S. Goan*, A. Manolescu*, “Stepwise introduction of model complexity in a generalized master equation approach to time-dependent transport”, Fortschr. Phys. 61, 305 (2013)
• O. Jonasson, C.-S. Tang*, H.-S. Goan*, A. Manolescu, V. Gudmundsson*, "Symmetric excitation and de-excitation of a cavity QED system", Eur. Phys. J. B 86, 291 (2013)
• S.-Y. Huang, H.-S. Goan*, X.-Q. Li, and G. J. Milburn, “Generation and stabilization of a three-qubit entangled W state in circuit QED via quantum feedback control”", Physical Review A 88, 062311 (2013)
• O. Jonasson, C.-S. Tang*, H.-S. Goan*, A. Manolescu, V. Gudmundsson*, “Quantum magneto-electrodynamics of electrons embedded in a photon cavity", New Journal of Physics 14 013036, (2012)
• V. Gudmundsson*, O. Jonasson, C.-S. Tang*, H.-S. Goan*, A. Manolescu, "Time-dependent transport of electrons through a photon cavity", Physical Review B 85, 075306 (2012)
• B. Hwang and Hsi-Sheng Goan*, “Optimal control for non-Markovian open quantum systems”, Physical Review A 85, 032321 (2012)
• O. Jonasson, C.-S. Tang*, H.-S. Goan*, A. Manolescu, V. Gudmundsson*, “Nonperturbative Approach to Circuit Quantum Electrodynamics”, Physical Review E 86, 046701 (2012)
• . Z. Yuan, Hsi-Sheng Goan* and K. D. Zhu, “Dynamics of a driven spin coupled to an antiferromagnetic environment“, New Journal of Physics 13, 023018 (2011)
• P.-W. Chen, C.-C. Jian and Hsi-Sheng Goan*, “Non-Markovian dynamics of a nanomechanical resonator measured by a quantum point contact", Physical Review B 83, 115439 (2011)
• Hsi-Sheng Goan*, P.-W. Chen and C.-C. Jian, “Evolution equations of non-Markovian finite-temperature two-time correlation functions: beyond the quantum regression theorem", Journal of Chemical Physics 134, 124112 (2011)
• C.-A. Yen, S.-J. Horng, Hsi-Sheng Goan*, T.-W. Kao, Comment on “A special attack on the multiparty quantum secret sharing of secure direct communication using single photons", Optics Communications 283, 3202 (2010)
• X. Z. Yuan, Hsi-Sheng Goan* and K. D. Zhu, “Geometric phase of a central spin coupled to an antiferromagnetic environment", Physical Review A 81, 034102 (2010)
• Hsi-Sheng Goan*, C.-C. Jian and P.-W. Chen, “Non-Markovian finite-temperature two-time correlation functions of system operators of a pure-dephasing model", Physical Review A 82, 012111 (2010)
• Md. M. Ali, P.-W. Chen and Hsi-Sheng Goan*, “Decoherence-free subspace and disentanglement dynamics for two qubits in a common non-Markovian squeezed reservoir", Physical Review A 82, 022103 (2010)
• S. Raghunathan*, T. A. Brun*, Hsi-Sheng Goan*, “Gaussian approximation and single-spin measurement in magnetic resonance force microscopy with spin noise", Physical Review A 82, 052319 (2010)
• C.-A. Yen , S.-J. Horng, Hsi-Sheng Goan*, T.-W. Kao, Y.-H. Chou, “Quantum direct communication with mutual authentication", Quantum Information and Computation 9, 0376-0394(2009)
• Md. M. Ali and Hsi-Sheng Goan*, “Matter-wave interference in the time-of-flight distribution", Journal of Physics A: Mathematical and Theoretical 42, 385303 (2009)
• D.-B. Tsai, P.-W. Chen, and Hsi-Sheng Goan*, “Optimal control of the silicon-based donor-electron-spin quantum computing", Physical Review A 79, 060306 (Rapid Communications) (2009)
• X. Z. Yuan*, K. D. Zhu and Hsi-Sheng Goan, “The dynamics of a central spin in quantum Heisenberg XY model", European Physical Journal D 46, 375 (2008)
• T.-Y. Huang, C.-T. Liang*, G.-H. Kim, C. F. Huang, C.-P. Huang, J.-Y. Lin, Hsi-Sheng Goan, and D. A. Ritchie, “From insulator to quantum Hall liquid at low magnetic fields", Physical Review B 78, 113305 (2008)
• X. Z. Yuan, Hsi-Sheng Goan*, C. H. Lin, K. D. Zhu and Y. W. Jiang, "Nanomechanical-resonator-assisted induced transparency in a Cooper-pair-box system", New Journal of Physics 10, 095016 (2008)

• S. Sun, L.-C. Shih, and Y.-C. Cheng, “Efficient Quantum Simulation of Open Quantum System Dynamics on Noisy Quantum Computers,” arXiv:2106.12882 [quant-ph].
• M.T. Wong and Y.-C. Cheng, “A quantum Langevin equation approach for two-dimensional electronic spectra of coupled vibrational and electronic dynamics" J. Chem. Phys., 154, 154107 (2021)
• S.-C. Wang, K.-Y. Cheng, J.-H. Fu, Y.-C. Cheng, and Y.-T. Chan, “Conformational Regulation of Multivalent Terpyridine Ligands for Self-Assembly of Heteroleptic Metallo-Supramolecules”J. Am. Chem. Soc., 142, 16661 (2020)
• W.-C. Chen and Y.-C. Cheng, “Elucidating the Magnitude of Internal Reorganization Energy of Molecular Excited States from the Perspective of Transition Density” J. Phys. Chem. A, 124, 7644 (2020).
• S.-H. Yeh, A. Manjanath, Y.-C. Cheng, J.-D. Chai, and C.-P. Hsu, “Excitation energies from thermally assisted-occupation density functional theory: Theory and computational implementation” J. Chem. Phys., 153, 084120 (2020).
• T. H. Mansoure, H. Ayalew, W.-L. Kao, J.-J. Shyue, S.-C. Luo, Y.-C. Cheng, and H.-H. Yu, “Perfluoro-Functionalized Conducting Polymers Enhance Electrocatalytic Oxygen Reduction”ACS Appl. Energy Mater., 3, 1171 (2020).
• H.-H. Teh, B.-Y. Jin, and Y.-C. Cheng, “Frozen-mode small polaron quantum master equation with variational bound for excitation energy transfer in molecular aggregates” J. Chem. Phys., 150, 224110 (2019).
• Y.-C. Huang and Y.-C. Cheng, “C-N Bond Rotation Controls Photoinduced Electron Transfer in an Aminostyrene-Stilbene Donor-Acceptor System” J. Phys. Chem. A, 123, 4333 (2019).
• W.-C. Chen, P.-T. Chou, and Y.-C. Cheng, “Low Internal Reorganization Energy of the Metal-Metal-to-Ligand Charge Transfer Emission in Dimeric Pt(II) Complexes” J. Phys. Chem. C, 123, 10225 (2019).
• S.-T. Hsieh, L. Zhang, D.-W. Ye, X. Huang, and Y.-C. Cheng, “A theoretical study on the dynamics of light harvesting in the dimeric photosystem II core complex: regulation and robustness of energy transfer pathways” Faraday Discuss. 216, 94 (2019).
• B.-X. Wang, M.-J. Tao, Q. Ai, T. Xin, N. Lambert, D. Ruan, Y.-C. Cheng, F. Nori, F.-G. Deng, and G.-L. Long, “Efficient quantum simulation of photosynthetic light harvesting” Npj Quantum Information 4, 52 (2018)
• P.-J. Wu, Y.-F. Wang, W.-C. Chen, C.-W. Wang, Joy Cheng, Vencent Chang, C.-Y. Chang, John Lin, Y.-C. Cheng, “Nanoscale inhomogeneity and photoacid generation dynamics in extreme ultraviolet resist materials.”, Proc. SPIE 10586 (2018).
• Y.-F. Wang, Cheng and Y.-C. Cheng, “Molecular electrostatic potential on the proton-donating atom as a theoretical descriptor of excited state acidity” Phys. Chem. Chem. Phys., 20, 4351 (2018).
• H.-H. Teh and Y.-C. Cheng,“On the accuracy of the LSC-IVR approach for excitation energy transfer in molecular aggregates” J. Chem. Phys., 146, 144105 (2017).
• M.-J. Tao, Q. Ai, F.-G. Deng and Y.-C. Cheng, “Proposal for probing energy transfer pathway by single-molecule pump-dump experiment” Sci. Rep., 6, 27535 (2016).
• H.-B. Chen, N. Lambert, Y.-C. Cheng, Y.-N. Chen, F. Nori, “Using non-Markovian measures to evaluate quantum master equations for photosynthesis” Sci. Rep., 5, 12753 (2015).
• Y. Chang and Y.-C. Cheng, “On the Accuracy of Coherent Modified Redfield Theory in Simulating Excitation Energy Transfer Dynamics” J. Chem. Phys., 142, 034109 (2015).
• Y.-H. Hwang-Fu, W. Chen, Y.-C. Cheng, “A Coherent Modified Redfield Theory for Excitation Energy Transfer in Molecular Aggregates” Chem. Phys., 447, 46 (2015).
• Q. Ai, Y.-J. Fan, B.-Y. Jin, Y.-C. Cheng, “An efficient quantum jump method for coherent energy transfer dynamics in photosynthetic systems under the influence of laser fields”, New J. Phys., 16, 053033 (2014).
• H.-T. Chang, P.-P. Zhang, Y.-C. Cheng, “Criteria for the accuracy of small polaron quantum master equation in simulating excitation energy transfer dynamics”, J. Chem. Phys., 139, 224112 (2013).
• Q. Ai, T.-C. Yen, B.-Y. Jin, Y.-C. Cheng, “Clustered geometries exploiting quantum coherence effects for efficient energy transfer in light harvesting”, J. Phys. Chem. Lett., 4, 2577 (2013).
• S.J. Jang, Y.-C. Cheng, “Resonance energy flow dynamics of coherently delocalized excitons in biological and macromolecular systems: Recent theoretical advances and open issues”, WIREs Computat. Mol. Sci., 3, 84 (2013).
• N. Lambert, Y.-N. Chen, Y.-C. Cheng, C.-M. Li, G.-Y. Chen, F. Nori, “Quantum biology”, Nat. Phys., 9, 10 (2013).
• H.-T. Chang, Y.-C. Cheng, “Coherent versus incoherent excitation energy transfer in molecular systems”, J. Chem. Phys., 137, 165103 (2012).
• T. Calhoun, N. Ginsberg, G. Schlau-Cohen, Y.-C. Cheng, M. Ballottari, R. Bassi, G.R. Fleming, “Quantum Coherence Enabled Determination of the Energy Landscape in Light Harvesting Complex II.”, J. Phys. Chem. B, 113, 16291 (2009).
• N.S. Ginsberg, Y.-C. Cheng, and G.R. Fleming, “Two-Dimensional Electronic Spectroscopy of Molecular Aggregates.”, Acc. Chem. Res., 42, 1352 (2009).
• Y.-C. Cheng and G.R. Fleming, “Dynamics of light harvesting in photosynthesis.”, Ann. Rev. Phys. Chem., 60, 241 (2009).

Journal Papers (peer-reviewed)

• Yu Shee, Pei-Kai Tsai, Cheng-Lin Hong, Hao-Chung Cheng, and Hsi-Sheng Goan, “Qubit-efficient encoding scheme for quantum simulations of electronic structure,” Physical Review Research 4, 023154,May 2022.
• Ching-Yi Lai and Hao-Chung Cheng, “Learning quantum circuits of some T gates,” IEEE Transactions on Information Theory, 68(6):3951–3964, June 2022.
• Hao-Chung Cheng*, Li Gao, Min-Hsiu Hsieh, “Properties of Noncommutative Rényi and Augustin Information,” Communications in Mathematical Physics, vol. 390, no. 2, 501–544, Mar. 2022./li>
• Hao-Chung Cheng, Nilanjana Datta, and Cambyse Rouźe, “Strong converse bounds in quantum network information theory,” IEEE Transactions on Information Theory, vol. 67, no. 4, Apr. 2021.
• Hao-Chung Cheng, Eric P. Hanson, Nilanjana Datta, and Min-Hsiu Hsieh, “Non-Asymptotic Classical Data Compression with Quantum Side Information,” IEEE Transactions on Information Theory, vol. 67, no. 2, pp. 902–930, Feb. 2021.
• Hao-Chung Cheng, Min-Hsiu Hsieh and Marco Tomamichel, “Quantum Sphere-Packing Bounds with Polynomial Prefactors,” IEEE Transactions on Information Theory, vol. 65, no. 5, p. 2872–2898 , May 2019.
• Hao-Chung Cheng and Min-Hsiu Hsieh, “Matrix Poincaré, Φ-Sobolev Inequalities, and Quantum Ensembles,”Journal of Mathematical Physics, vol. 60, no. 3, p. 032201, 2019.
• Hao-Chung Cheng, Min-Hsiu Hsieh, “Moderate Deviation Analysis for Classical-Quantum Channels and Quantum Hypothesis Testing,” IEEE Transactions on Information Theory, vol. 64, no. 2, page 1-19,Feb 2018.
• Hao-Chung Cheng, Min-Hsiu Hsieh, and Marco Tomamichel, “Exponential Decay of Matrix Ф-Entropies on Markov Semigroups with Applications to Dynamical Evolutions of Quantum Ensembles,” Journal of Mathematical Physics, vol. 58, no. 9, p. 092202, 2017.
• Hao-Chung Cheng, and Min-Hsiu Hsieh, “On the Concavity of Auxiliary Function in Classical-Quantum Channels,” IEEE Transactions on Information Theory, vol. 62, no. 10, Oct 2016.
• Hao-Chung Cheng, and Min-Hsiu Hsieh, “Characterizations of Matrix and Operator-ValuedΦ-Entropies, and Operator Efron-Stein Inequalities,” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science, vol. 472, no. 2187, p. 20150563, Mar 2016.
• Hao-Chung Cheng, Min-Hsiu Hsieh, and Ping-Cheng Yeh, “The Learnability of Unknown Quantum Measurements,” Quantum Information and Computation, vol. 16, no. 7&8, pp. 0615–0656, 2016.
• Hao-Chung Cheng, Sheng-Yi Ho, Ping-Cheng Yeh, “Collaborative Non-Cryptographic Physical Layer Authentication Schemes in Wireless Networks,” Radio Science Bulletin of International Union of Radio Science, no. 349, pp. 18–31, 2014.

Conference Proceedings

• Yu-Cheng Shen, Li Gao, Hao-Chung Cheng*, “Strong Converse for Privacy Amplification against Quantum Side Information,” IEEE International Symposium on Information Theory (ISIT), June 2022.
• Hao-Chung Cheng*, Li Gao, “Error Exponent and Strong Converse for Quantum Soft Covering,” IEEE International Symposium on Information Theory (ISIT), June 2022.
• Ching-Yi Lai and Hao-Chung Cheng, “Learning quantum circuits of some T gates,” IEEE International Symposium on Information Theory (ISIT), June 2022.
• Jun-Kai You, Hao-Chung Cheng, Yen-Huan Li, “Minimizing Quantum Rényi Divergences via Mirror Descent with Polyak Step Size,” IEEE International Symposium on Information Theory (ISIT), June 2022.
• Hao-Chung Cheng, Barış Nakiboğlu, “On The Existence of The Augustin Mean,” IEEE Information Theory Workshop (ITW), 2021.
• Hao-Chung Cheng, Andreas Winter and Nengkun Yu, “Discrimination of quantum states under locality constraints in the many-copy setting,” IEEE Symposium on Information Theory (ISIT), 2020.
• Hao-Chung Cheng, Nilanjana Datta, and Cambyse Rouźe, “Strong converse bounds in quantum network information theory: distributed hypothesis testing and source coding,” IEEE Symposium on Information. Theory (ISIT), 2020.
• Hao-Chung Cheng, Barış Nakiboğlu, “Refined Strong converses for Constant Composition Codes,” IEEE Symposium on Information Theory (ISIT), 2020.
• Hao-Chung Cheng, Li Gao, and Min-Hsiu Hsieh, “Properties of Scaled Noncommutative Rényi and Augustin Information,” IEEE Symposium on Information Theory (ISIT), 2019.
• Hao-Chung Cheng, Eric P. Hanson, Nilanjana Datta, and Min-Hsiu Hsieh, “Duality between source coding with quantum side information and c-q channel coding,” IEEE Symposium on Information Theory (ISIT), 2019.
• Hao-Chung Cheng, Eric P. Hanson, Nilanjana Datta, and Min-Hsiu Hsieh, “Error Exponents and Strong Converse Exponents for Classical Data Compression with Quantum Side Information,” IEEE Symposium on Information Theory (ISIT), 2018.
• Hao-Chung Cheng, Min-Hsiu Hsieh, and Marco Tomamichel, “Sphere-Packing Bound for Classical-Quantum Channels,” IEEE Information Theory Workshop (ITW), 2017
• Hao-Chung Cheng, Min-Hsiu Hsieh, and Marco Tomamichel, “Sphere-Packing Bound for Symmetric. Classical-Quantum Channels,” IEEE Symposium on Information Theory (ISIT), 2017.
• Hao-Chung Cheng, and Min-Hsiu Hsieh, “Moderate Deviations for Quantum Hypothesis Testing and a Martingale Inequality,” IEEE Symposium on Information Theory (ISIT), 2017.
• Hao-Chung Cheng, and Min-Hsiu Hsieh, “Moderate Deviations for Classical-Quantum Channels,” IEEE Symposium on Information Theory (ISIT), 2017.
• Hao-Chung Cheng, Sheng-Yi Ho, Ping-Cheng Yeh, “Collaborative Non-Cryptographic Physical Layer. Authentication Schemes in Wireless Networks,” Asia-Pacific Radio Science Conference, 2013.

Unpublished Pre-Prints

• Chien-Ming Lin, Hao-Chung Cheng, and Yen-Huan Li, “Maximum-Likelihood Quantum State Tomography. by Cover’s Method with Non-Asymptotic Analysis,”
• Jun-Kai You, Hao-Chung Cheng, Yen-Huan Li, “Minimizing Quantum Renyi Divergences via Mirror. Descent with Polyak Step Size,”

Intellectual Property Rights

• Hao-Chung Cheng, Jhe-Syong Jiang, Ling-San Meng, Ping-Cheng Yeh, Yu-Chih Jen, “Method of Handling. Coordinated Scheduling for Base Stations and Mobile Devices and Related Communication Device

• (with Masataka Chida) "The derivative formula of p-adic L-functions for imaginary quadratic fields at trivial zeros" , Ann. Math. Québec (Special birthday issue for Bernadette Perrin-Riou) , to appear.
• (with Shunsuke Yamana) "Base change and triple product LL-series" , Representation Theory , 26, 402-431, 2022.
• (with Francesc Castella) "On the non-vanishing of generalized Kato classes for elliptic curves of rank two" , Forum of Mathematics, Sigma , 10, e12, 1-32, 2022.
• (with Shunsuke Yamana) "Restriction of Eisenstein series and Stark-Heegner points" , Journal de Théorie des Nombres de Bordeaux (Iwasawa 2019 special issue) , 33 (3.2), 887-944, 2021.
• "Hida families and pp-adic triple product LL-functions" , American Journal of Mathematics , 143 (2), 411-532, 2021.
• (with Shih-Yu Chen) "On primitive pp-adic Rankin-Selberg LL-functions" , Development of Iwasawa theory - The Centennial of K. Iwasawa's Birth, Advanced Studies in Pure Mathematics , 86 (11), 195-242, 2020.
• (with Kenichi Namikawa) "Inner product formula for Yoshida lifts" , Ann. Math. Québec. , 42 (2), 215-253, 2018.
• (with Francesc Castella) "Heegner cycles and p-adic L-functions" , Mathematische Annalen , 370 (1-2), 567-628, 2018.
• (with Masataka Chida) "Special values of anticyclotomic L-functions for modular forms" , J. reine angew. Math. , 741, 87-131, 2018.
• (with Kenichi Namikawa) "Bessel periods and the non-vanishing of Yoshida lifts modulo a prime" , Mathematische Zeitschrift , 285 (3), 851-878, 2017.
• (with Masataka Chida) "On the anticyclotomic Iwasawa main conjecture for modular forms" , Compositio Mathematica , 151 (5), 863-897, 2015.
• "Special values of anticyclotomic Rankin-Selberg L-functions" , Documenta Mathematica , 19, 709-767, 2014.
• "Eisenstein congruence on unitary groups and Iwasawa main conjectures for CM fields" , Journal of the American Mathematical Society , 27 (3), 753-862, 2014.
• "On the μμ-invariant of anticyclotomic p-adic L-functions for CM fields" , J. reine angew. Math. , 688, 67-100, 2014.
• (with Ashay Burungale) "The vanishing of the μμ-invariant of p-adic Hecke L-functions for CM fields" , IMRN (5), 1014-1027, 2013.
• "On the non-vanishing of Hecke L-values modulo p" , American Journal of Mathematics , 134 (6), 1503-1539, 2012.
• "Ordinary p-adic Eisenstein series and p-adic L-functions for unitary groups" , Annales de l'Institut Fourier , 61 (3), 987-1059, 2011.
• "On the algebraic functional equation of Selmer group for CM fields" , Journal of Number theory , 130, 1914-1924, 2010.

• Scott Aaronson, Shih-Han Hung. Certified randomness from quantum supremacy. Proceedings of the 55th Annual ACM Symposium on Theory of Computing (STOC 2023), pp. 933–944.
• Shouvanik Chakrabarti, Andrew M. Childs, Shih-Han Hung, Tongyang Li, Chunhao Wang, Xiaodi Wu. Quantum algorithm for estimating volumes of convex bodies. ACMTransactions on Quantum Computing 4, 3, Article 20 (2023). Also presented in the 23rd Annual Converence on Quantum Information Processing (QIP 2020).
• Nai-Hui Chia, Shih-Han Hung. Classical verification of quantum depth. Presented at the 17th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2022). Also presented at the 12th International Conference on Q uantumCryptography (QCrypt 2022).
• ManuelBarbosa, Gilles Barthe, Xiong Fan, Benjamin Grégoire, Shih-Han Hung, Jonathan Katz, Pierre-Yves Strub, Xiaodi Wu, Li Zhou. EasyPQC: verifying post-quantum cryptography. Proceedings of the 28th ACM Conference on Computer and Communications Security (CCS 2021), pp. 2564–2586.
• Andrew M. Childs, Shih-Han Hung, Tongyang Li. Quantum query complexity with matrix-vector products. Proceedings of the 48th International Colloquium on Automata, Languages, and Programming (ICALP 2021), Leibniz International Proceedings in Informatics, vol. 198, pp.55:1–55:19 (2021). 2/5
• Kesha Hietala, Robert Rand, Shih-Han Hung, Liyi Li, Michael Hicks. Proving quantum programs correct. Proceedings of the 12th Conference on Interactive Theorem Proving (ITP 2021), Leibniz International Proceedings in Informations, vol. 193, pp. 21:1–21:19 (2021).
• Kesha Hietala, Robert Rand, Shih-Han Hung, Xiaodi Wu, Michael Hicks. A verified optimizer for quantum circuits. The 48th ACM SIGPLAN Symposium on Principles of Programming Languages (POPL 2021). Proceedings of the ACM on Programming Languages, vol. 5, no. 37, pp. 1–29. Distinguished paper of POPL 2021.
• Gorjan Alagic, Andrew M. Childs, Alex B. Grilo, Shih-Han Hung. Non-interactive classical verification of quantum computation. Proceedings of the 18th International Conference on Theory of Cryptography Conference (TCC 2020), Lecture Notes in Computer Science 12552, 153–180 (2020). Also presented in the 10th International Conference on QuantumCryptography(QCrypt2020) and the 24th Annual Conference on Quantum Information Processing (QIP 2021).
• ShaopengZhu,Shih-HanHung,ShouvanikChakrabarti, XiaodiWu. Ontheprinciplesof differentiable quantum programming languages. Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2020), no. 37, pp.272–285.
• Shih-Han Hung, Kesha Hietala, Shaopeng Zhu, Mingsheng Ying, Michael Hicks, Xiaodi Wu. Quantitative robustness analysis of quantum programs. The 46th ACM SIGPLAN Symposium on Principles of Programming Languages (POPL 2019). Proceedings of the ACMonProgramming Languages, vol 3, no. 31, pp. 1–29.
• Jianxin Chen, Andrew M. Childs, Shih-Han Hung. Quantum algorithm for multivariate polynomial interpolation, Proceedings of the Royal Society A, 474(2209):20170480, 2018.
• Andrew M. Childs, Wim van Dam, Shih-Han Hung, Igor E. Shparlinski. Optimal quantum algorithm for polynomial interpolation. Proceedings of the 43rd International Colloquium on Automata, Languages and Programming (ICALP 2016), pp. 16:1–16:13.
• Tak-San Ho, Shih-Han Hung, Hsing-Ta Chen, Shih-I Chu. Memory effect on the multiphoton coherent destruction of tunneling in the electron transport of nanoscale systems driven by a periodic field: a generalized Floquet approach, Physical Review B, 79(23):235323, 2009.

• Nai-Hui Chia, Shih-Han Hung. Non-interactive classical verification of quantum depth: a fine-grained characterization. In submission.
• Nai-Hui Chia, Min-Hsiu Hsieh, Shih-Han Hung, En-Jui Kuo. Oracle separation of NISQ and classical complexity classes. In submission.
• Shih-Han Hung, En-Jui Kuo. The computational complexity of quantum determinants, in submission. arXiv preprint arXiv:2302.08083.
• Kishor Bharti, Shih-Han Hung, Atul Singh Arora, Atul Mantri, Gorjan Alagic, Andrew M. Childs, Alexey V. Gorshkov. Two-round proof of quantumness via simultaneous hardcore bits.
• Kai-Min Chung, Xiong Fan, Shih-Han Hung, Jonathan Katz. Quantum-secure identitybased encryption, revisited.
• Shih-Han Hung, Yuxiang Peng, Xin Wang, Shaopeng Zhu, Xiaodi Wu. On the theory of invariant-based verification of quantum programs.

• Shih-Han Hung. Image synchronization method and associated apparatus, US9491435B2, TWI517669B, CN103517062B, 2016.
• Shih-Han Hung. Stereo image output apparatus and associated method, US9232213B2, TWI520577B, CN103686116B, 2016.