Cheng-Yen Hsieh

12 papers A* 1A 1C 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Protein Autoregressive Modeling via Multiscale Structure Generation.
CoRR
Yanru Qu, Cheng-Yen Hsieh, Zaixiang Zheng, Ge Liu, Quanquan Gu
2025 A* conf
Elucidating the Design Space of Multimodal Protein Language Models.
ICML
Cheng-Yen Hsieh, Xinyou Wang, Daiheng Zhang, Dongyu Xue, Fei Ye, Shujian Huang, Zaixiang Zheng, Quanquan Gu
2025 J jnl
Elucidating the Design Space of Multimodal Protein Language Models.
CoRR
Cheng-Yen Hsieh, Xinyou Wang, Daiheng Zhang, Dongyu Xue, Fei Ye, Shujian Huang, Zaixiang Zheng, Quanquan Gu
2023 A conf
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond.
WACV
Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, Yu-Chiang Frank Wang
2023 J jnl
Tracking Any Object Amodally.
CoRR
Cheng-Yen Hsieh, Tarasha Khurana, Achal Dave, Deva Ramanan
2022 — conf
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning.
MLSP
Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Wu
2022 J jnl
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning.
CoRR
Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Wu
2022 J jnl
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond.
CoRR
Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, Yu-Chiang Frank Wang
2021 — conf
FL-HDC: Hyperdimensional Computing Design for the Application of Federated Learning.
AICAS
Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Andy Wu
2016 J jnl
Construction of Multi-mode Affective Learning System: Taking Affective Design as an Example.
J. Educ. Technol. Soc.
Hao-Chiang Koong Lin, Sheng-Hsiung Su, Ching-Ju Chao, Cheng-Yen Hsieh, Shang-Chin Tsai
2012 C conf
The Application of Affective Tutoring Systems (ATS) in Enhancing Learners' Motivation.
ICCE
Ching-Ju Chao, Hao-Chiang Koong Lin, Tsu-Ching Huang, Kuo-Chun Hsu, Cheng-Yen Hsieh
2009 J jnl
Introduction of affinity set and its application in data-mining example of delayed diagnosis.
Expert Syst. Appl.
Yuh-Wen Chen, Moussa Larbani, Cheng-Yen Hsieh, Chao-Wen Chen