Oracles with Costs. - Shelby Kimmel; Cedric Yen-Yu Lin; Han-Hsuan Lin (TQC, 2015)

Fast Mode Decision for Depth Video Coding Using H.264/MVC. - Chih-Hung Lu; Han-Hsuan Lin; Chih-Wei Tang (J. Inf. Sci. Eng., 2015)

Upper Bounds on Quantum Query Complexity Inspired by the Elitzur–Vaidman Bomb Tester. - Cedric Yen-Yu Lin; Han-Hsuan Lin (Theory Comput., 2016)

Localized High Dynamic Range Plenoptic Image Compression. - Chuan-Chung Chang; Hsin-Hsiang Lo; Han-Hsuan Lin; Zhi-Rong Fan; Shao-Hsuan Cheng; Chih-Hung Lu; Fu-Ming Chuang; Jiun-In Guo (Computational Imaging, 2017)

On the Sample Complexity of PAC Learning Quantum Process. - Kai-Min Chung; Han-Hsuan Lin (CoRR, 2018)

Quantum-inspired sublinear classical algorithms for solving low-rank linear systems. - Nai-Hui Chia; Han-Hsuan Lin; Chunhao Wang (CoRR, 2018)

Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches. - Nai-Hui Chia; Tongyang Li; Han-Hsuan Lin; Chunhao Wang (CoRR, 2019)

A Quantum-Proof Non-Malleable Extractor With Application to Privacy Amplification against Active Quantum Adversaries. - Divesh Aggarwal; Kai-Min Chung; Han-Hsuan Lin; Thomas Vidick (IACR Cryptol. ePrint Arch., 2019)

On the Quantum Complexity of Closest Pair and Related Problems. - Scott Aaronson; Nai-Hui Chia; Han-Hsuan Lin; Chunhao Wang; Ruizhe Zhang 001 (CCC, 2020)

Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension. - Nai-Hui Chia; András Gilyén; Han-Hsuan Lin; Seth Lloyd; Ewin Tang; Chunhao Wang (ISAAC, 2020)

Quantum-Inspired Sublinear Algorithm for Solving Low-Rank Semidefinite Programming. - Nai-Hui Chia; Tongyang Li; Han-Hsuan Lin; Chunhao Wang (MFCS, 2020)

Sample Efficient Algorithms for Learning Quantum Channels in PAC Model and the Approximate State Discrimination Problem. - Kai-Min Chung; Han-Hsuan Lin (TQC, 2021)

Constant-Round Blind Classical Verification of Quantum Sampling. - Kai-Min Chung; Yi Lee; Han-Hsuan Lin; Xiaodi Wu 001 (EUROCRYPT (3), 2022)

Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning. - Nai-Hui Chia; András Pal Gilyén; Tongyang Li; Han-Hsuan Lin; Ewin Tang; Chunhao Wang (J. ACM, 2022)

On the Impossibility of General Parallel Fast-Forwarding of Hamiltonian Simulation. - Nai-Hui Chia; Kai-Min Chung; Yao-Ching Hsieh; Han-Hsuan Lin; Yao-Ting Lin; Yu-Ching Shen (CCC, 2023)

On relating one-way classical and quantum communication complexities. - Naresh Goud Boddu; Rahul Jain 001; Han-Hsuan Lin (Quantum, 2023)

Automated Sleep Apnea Detection based on XGBoost Model using Single-Lead ECG and Respiratory Signal. - Han-Hsuan Lin; Cheng-I Chen; Wei-Chung Lee 001 (ICBEA, 2024)

Efficient learning of t-doped stabilizer states with single-copy measurements. - Nai-Hui Chia; Ching-Yi Lai; Han-Hsuan Lin (Quantum, 2024)

Getting almost all the bits from a quantum random access code. - Han-Hsuan Lin; Ronald de Wolf (CoRR, 2025)