Power-law stochastic neighbor embedding. - Huan-Hsin Tseng; Issam El-Naqa; Jen-Tzung Chien (ICASSP, 2017)

Stochastic Fusion for Multi-stream Neural Network in Video Classification. - Yu-Min Huang; Huan-Hsin Tseng; Jen-Tzung Chien (APSIPA, 2019)

ECG Signal Super-resolution by Considering Reconstruction and Cardiac Arrhythmias Classification Loss. - Tsai-Min Chen; Yuan-Hong Tsai; Huan-Hsin Tseng; Jhih-Yu Chen; Chih-Han Huang; Guo-Yuan Li; Chun-Yen Shen; Yu Tsao 001 (CoRR, 2020)

Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport. - Hsin-Yi Lin; Huan-Hsin Tseng; Xugang Lu; Yu Tsao 001 (NeurIPS, 2021)

Toward Real-World Pathological Voice Detection. - Heng-Cheng Kuo; Yu-Peng Hsieh; Huan-Hsin Tseng; Chi-Tei Wang; Shih-Hau Fang; Yu Tsao 001 (CoRR, 2021)

Boosting Self-Supervised Embeddings for Speech Enhancement. - Kuo-Hsuan Hung; Szu-Wei Fu; Huan-Hsin Tseng; Hsin-Tien Chiang; Yu Tsao 001; Chii-Wann Lin (INTERSPEECH, 2022)

On the Robustness of Non-Intrusive Speech Quality Model by Adversarial Examples. - Hsin-Yi Lin; Huan-Hsin Tseng; Yu Tsao 001 (ICASSP, 2023)

Interpretations of Domain Adaptations via Layer Variational Analysis. - Huan-Hsin Tseng; Hsin-Yi Lin; Kuo-Hsuan Hung; Yu Tsao 001 (ICLR, 2023)

Voice Direction-Of-Arrival Conversion. - I-Chun Chern; Steffi Chern; Heng-Cheng Kuo; Huan-Hsin Tseng; Kuo-Hsuan Hung; Yu Tsao 001 (MLSP, 2023)

Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation. - Dmitrii Torbunov; Yi Huang 019; Huan-Hsin Tseng; Haiwang Yu; Jin Huang; Shinjae Yoo; Meifeng Lin; Brett Viren; Yihui Ren 001 (CoRR, 2023)

SRECG: ECG Signal Super-Resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification. - Tsai-Min Chen; Yuan-Hong Tsai; Huan-Hsin Tseng; Kai-Chun Liu; Jhih-Yu Chen; Chih-Han Huang; Guo-Yuan Li; Chun-Yen Shen; Yu Tsao 001 (IEEE Trans. Consumer Electron., 2023)

Toward Real-World Voice Disorder Classification. - Heng-Cheng Kuo; Yu-Peng Hsieh; Huan-Hsin Tseng; Chi-Te Wang; Shih-Hau Fang; Yu Tsao 001 (IEEE Trans. Biomed. Eng., 2023)

Federated Quantum Machine Learning with Differential Privacy. - Rod Rofougaran; Shinjae Yoo; Huan-Hsin Tseng; Samuel Yen-Chi Chen (ICASSP, 2024)

Quantum Federated Learning with Quantum Networks. - Tyler Wang; Huan-Hsin Tseng; Shinjae Yoo (ICASSP, 2024)

Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning. - William M. Watkins; Heehwan Wang; Sangyoon Bae; Huan-Hsin Tseng; Jiook Cha; Samuel Yen-Chi Chen; Shinjae Yoo (ICASSP, 2024)

Utilizing a Hybrid Matrix Product State and Variational Quantum Circuit Architecture for the Detection of Kidney Diseases. - Vidur Reddy Jannapureddy; Shinjae Yoo; Huan-Hsin Tseng (ICMLA, 2024)

Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning. - Junghoon Park; Jiook Cha; Samuel Yen-Chi Chen; Shinjae Yoo; Huan-Hsin Tseng (QCE, 2024)

Quantum Gradient Class Activation Map for Model Interpretability. - Hsin-Yi Lin; Huan-Hsin Tseng; Samuel Yen-Chi Chen; Shinjae Yoo (SiPS, 2024)

On the Attractive and Repulsive Forces of Generalized Stochastic Neighbor Embedding With Alpha-Divergence. - Hsin-Yi Lin; Huan-Hsin Tseng; Jen-Tzung Chien (IEEE Access, 2024)

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - Yuri Alexeev; Maximilian Amsler; Marco Antonio Barroca; Sanzio Bassini; Torey Battelle; Daan Camps; David Casanova; Young Jay Choi; Frederic T. Chong; Charles Chung; Christopher Codella; Antonio D. Córcoles; et al. (Future Gener. Comput. Syst., 2024)

INSURE: An Information Theory iNspired diSentanglement and pURification modEl for Domain Generalization. - Xi Yu; Huan-Hsin Tseng; Shinjae Yoo; Haibin Ling; Yuewei Lin (IEEE Trans. Image Process., 2024)

Hands-On Introduction to Quantum Machine Learning. - Muhammad Ismail; Huan-Hsin Tseng; Samuel Yen-Chi Chen (FLAIRS, 2025)

Reinforcement Learning for Charged Particle Beam Control to Minimize Injection Mismatch in Particle Accelerators. - Thilina Balasooriya; Shinjae Yoo; Vincent Schoefer; Huan-Hsin Tseng; Yuan Gao 035; Weijian Lin; Chanaka De Silva (ICASSP, 2025)

Learning to Measure Quantum Neural Networks. - Samuel Yen-Chi Chen; Huan-Hsin Tseng; Hsin-Yi Lin; Shinjae Yoo (ICASSP Workshops, 2025)

Transfer Learning Analysis of Variational Quantum Circuits. - Huan-Hsin Tseng; Hsin-Yi Lin; Samuel Yen-Chi Chen; Shinjae Yoo (ICASSP Workshops, 2025)

Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning. - Chi-Sheng Chen; Samuel Yen-Chi Chen; Huan-Hsin Tseng (CoRR, 2025)

Linguistic Knowledge Transfer Learning for Speech Enhancement. - Kuo-Hsuan Hung; Xugang Lu; Szu-Wei Fu; Huan-Hsin Tseng; Hsin-Yi Lin; Chii-Wann Lin; Yu Tsao 001 (CoRR, 2025)

Adaptive Non-local Observable on Quantum Neural Networks. - Hsin-Yi Lin; Huan-Hsin Tseng; Samuel Yen-Chi Chen; Shinjae Yoo (CoRR, 2025)

Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles. - Junghoon Justin Park; Jiook Cha; Samuel Yen-Chi Chen; Huan-Hsin Tseng; Shinjae Yoo (CoRR, 2025)

Learning to Program Quantum Measurements for Machine Learning. - Samuel Yen-Chi Chen; Huan-Hsin Tseng; Hsin-Yi Lin; Shinjae Yoo (CoRR, 2025)

Special-Unitary Parameterization for Trainable Variational Quantum Circuits. - Kuan-Cheng Chen; Huan-Hsin Tseng; Samuel Yen-Chi Chen; Chen-Yu Liu; Kin K. Leung (CoRR, 2025)

Quantum Reinforcement Learning by Adaptive Non-local Observables. - Hsin-Yi Lin; Samuel Yen-Chi Chen; Huan-Hsin Tseng; Shinjae Yoo (CoRR, 2025)