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Journal Articles
- 2024
[j5]Hsin-Yi Lin
, Huan-Hsin Tseng, Jen-Tzung Chien:
On the Attractive and Repulsive Forces of Generalized Stochastic Neighbor Embedding With Alpha-Divergence. IEEE Access 12: 90380-90394 (2024)- [j4]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:
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. Future Gener. Comput. Syst. 160: 666-710 (2024) - [j3]Xi Yu, Huan-Hsin Tseng, Shinjae Yoo, Haibin Ling, Yuewei Lin:
INSURE: An Information Theory iNspired diSentanglement and pURification modEl for Domain Generalization. IEEE Trans. Image Process. 33: 3508-3519 (2024) - 2023
- [j2]Heng-Cheng Kuo, Yu-Peng Hsieh, Huan-Hsin Tseng, Chi-Te Wang, Shih-Hau Fang, Yu Tsao:
Toward Real-World Voice Disorder Classification. IEEE Trans. Biomed. Eng. 70(10): 2922-2932 (2023) - [j1]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:
SRECG: ECG Signal Super-Resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification. IEEE Trans. Consumer Electron. 69(3): 250-260 (2023)
Conference and Workshop Papers
- 2024
- [c10]William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo:
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning. ICASSP 2024: 6875-6879 - [c9]Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen:
Federated Quantum Machine Learning with Differential Privacy. ICASSP 2024: 9811-9815 - [c8]Tyler Wang, Huan-Hsin Tseng, Shinjae Yoo:
Quantum Federated Learning with Quantum Networks. ICASSP 2024: 13401-13405 - 2023
- [c7]Hsin-Yi Lin, Huan-Hsin Tseng, Yu Tsao:
On the Robustness of Non-Intrusive Speech Quality Model by Adversarial Examples. ICASSP 2023: 1-5 - [c6]Huan-Hsin Tseng, Hsin-Yi Lin, Kuo-Hsuan Hung, Yu Tsao:
Interpretations of Domain Adaptations via Layer Variational Analysis. ICLR 2023 - [c5]I-Chun Chern, Steffi Chern, Heng-Cheng Kuo, Huan-Hsin Tseng, Kuo-Hsuan Hung, Yu Tsao:
Voice Direction-Of-Arrival Conversion. MLSP 2023: 1-6 - 2022
- [c4]Kuo-Hsuan Hung, Szu-Wei Fu, Huan-Hsin Tseng, Hsin-Tien Chiang, Yu Tsao, Chii-Wann Lin:
Boosting Self-Supervised Embeddings for Speech Enhancement. INTERSPEECH 2022: 186-190 - 2021
- [c3]Hsin-Yi Lin, Huan-Hsin Tseng, Xugang Lu, Yu Tsao:
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport. NeurIPS 2021: 19935-19946 - 2019
- [c2]Yu-Min Huang, Huan-Hsin Tseng, Jen-Tzung Chien:
Stochastic Fusion for Multi-stream Neural Network in Video Classification. APSIPA 2019: 69-74 - 2017
- [c1]Huan-Hsin Tseng, Issam El-Naqa, Jen-Tzung Chien:
Power-law stochastic neighbor embedding. ICASSP 2017: 2347-2351
Informal and Other Publications
- 2024
- [i11]William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo:
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning. CoRR abs/2401.07464 (2024) - [i10]Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo:
Quantum Gradient Class Activation Map for Model Interpretability. CoRR abs/2408.05899 (2024) - 2023
- [i9]Huan-Hsin Tseng, Hsin-Yi Lin, Kuo-Hsuan Hung, Yu Tsao:
Interpretations of Domain Adaptations via Layer Variational Analysis. CoRR abs/2302.01798 (2023) - [i8]Dmitrii Torbunov, Yi Huang, Huan-Hsin Tseng, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren:
Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation. CoRR abs/2303.16280 (2023) - [i7]Xi Yu, Huan-Hsin Tseng, Shinjae Yoo, Haibin Ling, Yuewei Lin:
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization. CoRR abs/2309.04063 (2023) - [i6]Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen:
Federated Quantum Machine Learning with Differential Privacy. CoRR abs/2310.06973 (2023) - [i5]Tyler Wang, Huan-Hsin Tseng, Shinjae Yoo:
Quantum Federated Learning With Quantum Networks. CoRR abs/2310.15084 (2023) - 2022
- [i4]Hsin-Yi Lin, Huan-Hsin Tseng, Yu Tsao:
On the robustness of non-intrusive speech quality model by adversarial examples. CoRR abs/2211.06508 (2022) - 2021
- [i3]Hsin-Yi Lin, Huan-Hsin Tseng, Xugang Lu, Yu Tsao:
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport. CoRR abs/2111.06316 (2021) - [i2]Heng-Cheng Kuo, Yu-Peng Hsieh, Huan-Hsin Tseng, Chi-Tei Wang, Shih-Hau Fang, Yu Tsao:
Toward Real-World Pathological Voice Detection. CoRR abs/2112.02538 (2021) - 2020
- [i1]Tsai-Min Chen, Yuan-Hong Tsai, Huan-Hsin Tseng, Jhih-Yu Chen, Chih-Han Huang, Guo-Yuan Li, Chun-Yen Shen, Yu Tsao:
ECG Signal Super-resolution by Considering Reconstruction and Cardiac Arrhythmias Classification Loss. CoRR abs/2012.03803 (2020)
Coauthor Index
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