Huan-Hsin Tseng

49 papers A* 2A 1C 1Misc 8Journal 32Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring the Potential of QEEGNet for Cross-task and Cross-dataset Electroencephalography Encoding with Quantum Machine Learning. J. Signal Process. Syst. Chi-Sheng Chen, Samuel Yen-Chi Chen, Huan-Hsin Tseng
2026	J	`jnl`	Hybrid Quantum Temporal Convolutional Networks. CoRR Junghoon Justin Park, Maria Pak, Sebin Lee, Samuel Yen-Chi Chen, Shinjae Yoo, Huan-Hsin Tseng, Jiook Cha
2026	J	`jnl`	Photonic Quantum-Enhanced Knowledge Distillation. CoRR Kuan-Cheng Chen, Shang Yu, Chen-Yu Liu, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Yen Jui Chang, Wei-Hao Huang, Felix Burt, Esperanza Cuenca Gomez, Zohim Chandani, William R. Clements, Ian A. Walmsley, Kin K. Leung
2026	J	`jnl`	Quantum Super-resolution by Adaptive Non-local Observables. CoRR Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
2025	J	`jnl`	Adaptive Non-local Observable on Quantum Neural Networks. CoRR Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
2025	J	`jnl`	Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles. CoRR Junghoon Justin Park, Jiook Cha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo
2025	J	`jnl`	Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning. CoRR Chi-Sheng Chen, Samuel Yen-Chi Chen, Huan-Hsin Tseng
2025	Misc	`conf`	Hands-On Introduction to Quantum Machine Learning. FLAIRS Muhammad Ismail, Huan-Hsin Tseng, Samuel Yen-Chi Chen
2025	J	`jnl`	It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles. CoRR Junghoon Justin Park, Huan-Hsin Tseng, Shinjae Yoo, Samuel Yen-Chi Chen, Jiook Cha
2025	—	`conf`	Learning to Measure Quantum Neural Networks. ICASSP Workshops Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo
2025	J	`jnl`	Learning to Measure Quantum Neural Networks. CoRR Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo
2025	J	`jnl`	Learning to Program Quantum Measurements for Machine Learning. CoRR Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo
2025	J	`jnl`	Linguistic Knowledge Transfer Learning for Speech Enhancement. CoRR Kuo-Hsuan Hung, Xugang Lu, Szu-Wei Fu, Huan-Hsin Tseng, Hsin-Yi Lin, Chii-Wann Lin, Yu Tsao
2025	J	`jnl`	Neural Architecture Search for Quantum Autoencoders. CoRR Hibah Agha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo
2025	J	`jnl`	Quantum Reinforcement Learning by Adaptive Non-local Observables. CoRR Hsin-Yi Lin, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo
2025	Misc	`conf`	Reinforcement Learning for Charged Particle Beam Control to Minimize Injection Mismatch in Particle Accelerators. ICASSP Thilina Balasooriya, Shinjae Yoo, Vincent Schoefer, Huan-Hsin Tseng, Yuan Gao, Weijian Lin, Chanaka De Silva
2025	J	`jnl`	Resting-state fMRI Analysis using Quantum Time-series Transformer. CoRR Junghoon Justin Park, Jungwoo Seo, Sangyoon Bae, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Jiook Cha, Shinjae Yoo
2025	J	`jnl`	Special-Unitary Parameterization for Trainable Variational Quantum Circuits. CoRR Kuan-Cheng Chen, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung
2025	—	`conf`	Transfer Learning Analysis of Variational Quantum Circuits. ICASSP Workshops Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen, Shinjae Yoo
2025	J	`jnl`	Transfer Learning Analysis of Variational Quantum Circuits. CoRR Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen, Shinjae Yoo
2024	Misc	`conf`	Federated Quantum Machine Learning with Differential Privacy. ICASSP Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen
2024	J	`jnl`	INSURE: An Information Theory iNspired diSentanglement and pURification modEl for Domain Generalization. IEEE Trans. Image Process. Xi Yu, Huan-Hsin Tseng, Shinjae Yoo, Haibin Ling, Yuewei Lin
2024	J	`jnl`	On the Attractive and Repulsive Forces of Generalized Stochastic Neighbor Embedding With Alpha-Divergence. IEEE Access Hsin-Yi Lin, Huan-Hsin Tseng, Jen-Tzung Chien
2024	Misc	`conf`	Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning. QCE Junghoon Park, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo, Huan-Hsin Tseng
2024	Misc	`conf`	Quantum Federated Learning with Quantum Networks. ICASSP Tyler Wang, Huan-Hsin Tseng, Shinjae Yoo
2024	—	`conf`	Quantum Gradient Class Activation Map for Model Interpretability. SiPS Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
2024	J	`jnl`	Quantum Gradient Class Activation Map for Model Interpretability. CoRR Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
2024	Misc	`conf`	Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning. ICASSP William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo
2024	J	`jnl`	Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning. CoRR William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo
2024	J	`jnl`	Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. Future Gener. Comput. Syst. 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, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan J. Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev
2024	C	`conf`	Utilizing a Hybrid Matrix Product State and Variational Quantum Circuit Architecture for the Detection of Kidney Diseases. ICMLA Vidur Reddy Jannapureddy, Shinjae Yoo, Huan-Hsin Tseng
2023	J	`jnl`	Federated Quantum Machine Learning with Differential Privacy. CoRR Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen
2023	J	`jnl`	INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization. CoRR Xi Yu, Huan-Hsin Tseng, Shinjae Yoo, Haibin Ling, Yuewei Lin
2023	A*	`conf`	Interpretations of Domain Adaptations via Layer Variational Analysis. ICLR Huan-Hsin Tseng, Hsin-Yi Lin, Kuo-Hsuan Hung, Yu Tsao
2023	J	`jnl`	Interpretations of Domain Adaptations via Layer Variational Analysis. CoRR Huan-Hsin Tseng, Hsin-Yi Lin, Kuo-Hsuan Hung, Yu Tsao
2023	Misc	`conf`	On the Robustness of Non-Intrusive Speech Quality Model by Adversarial Examples. ICASSP Hsin-Yi Lin, Huan-Hsin Tseng, Yu Tsao
2023	J	`jnl`	Quantum Federated Learning With Quantum Networks. CoRR Tyler Wang, Huan-Hsin Tseng, Shinjae Yoo
2023	J	`jnl`	Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation. CoRR Dmitrii Torbunov, Yi Huang, Huan-Hsin Tseng, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren
2023	J	`jnl`	SRECG: ECG Signal Super-Resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification. IEEE Trans. Consumer Electron. 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
2023	J	`jnl`	Toward Real-World Voice Disorder Classification. IEEE Trans. Biomed. Eng. Heng-Cheng Kuo, Yu-Peng Hsieh, Huan-Hsin Tseng, Chi-Te Wang, Shih-Hau Fang, Yu Tsao
2023	—	`conf`	Voice Direction-Of-Arrival Conversion. MLSP I-Chun Chern, Steffi Chern, Heng-Cheng Kuo, Huan-Hsin Tseng, Kuo-Hsuan Hung, Yu Tsao
2022	A	`conf`	Boosting Self-Supervised Embeddings for Speech Enhancement. INTERSPEECH Kuo-Hsuan Hung, Szu-Wei Fu, Huan-Hsin Tseng, Hsin-Tien Chiang, Yu Tsao, Chii-Wann Lin
2022	J	`jnl`	On the robustness of non-intrusive speech quality model by adversarial examples. CoRR Hsin-Yi Lin, Huan-Hsin Tseng, Yu Tsao
2021	J	`jnl`	Toward Real-World Pathological Voice Detection. CoRR Heng-Cheng Kuo, Yu-Peng Hsieh, Huan-Hsin Tseng, Chi-Tei Wang, Shih-Hau Fang, Yu Tsao
2021	A*	`conf`	Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport. NeurIPS Hsin-Yi Lin, Huan-Hsin Tseng, Xugang Lu, Yu Tsao
2021	J	`jnl`	Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport. CoRR Hsin-Yi Lin, Huan-Hsin Tseng, Xugang Lu, Yu Tsao
2020	J	`jnl`	ECG Signal Super-resolution by Considering Reconstruction and Cardiac Arrhythmias Classification Loss. CoRR Tsai-Min Chen, Yuan-Hong Tsai, Huan-Hsin Tseng, Jhih-Yu Chen, Chih-Han Huang, Guo-Yuan Li, Chun-Yen Shen, Yu Tsao
2019	—	`conf`	Stochastic Fusion for Multi-stream Neural Network in Video Classification. APSIPA Yu-Min Huang, Huan-Hsin Tseng, Jen-Tzung Chien
2017	Misc	`conf`	Power-law stochastic neighbor embedding. ICASSP Huan-Hsin Tseng, Issam El-Naqa, Jen-Tzung Chien