| 2025 | ICLR | MoDeGPT: Modular Decomposition for Large Language Model Compression. | Chi-Heng Lin, Shangqian Gao, James Seale Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu |
| 2025 | ICML | Retraining-free Merging of Sparse MoE via Hierarchical Clustering. | I-Chun Chen, Hsu-Shen Liu, Wei-Fang Sun, Chen-Hao Chao, Yen-Chang Hsu, Chun-Yi Lee |
| 2025 | IJCNLP | MossNet: Mixture of State-Space Experts is a Multi-Head Attention. | Shikhar Tuli, James Seale Smith, Haris Jeelani, Chi-Heng Lin, Abhishek Patel, Vasili Ramanishka, Yen-Chang Hsu, Hongxia Jin |
| 2025 | NAACL | FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing. | James Seale Smith, Chi-Heng Lin, Shikhar Tuli, Haris Jeelani, Shangqian Gao, Yilin Shen, Hongxia Jin, Yen-Chang Hsu |
| 2024 | CVPR | Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters. | James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin |
| 2024 | NAACL | Adaptive Rank Selections for Low-Rank Approximation of Language Models. | Shangqian Gao, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin |
| 2024 | NAACL | SLiM: Speculative Decoding with Hypothesis Reduction. | Chi-Heng Lin, Shikhar Tuli, James Seale Smith, Yen-Chang Hsu, Yilin Shen, Hongxia Jin |
| 2024 | NAACL | DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling. | Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj K. Jha, Yilin Shen, Hongxia Jin |
| 2024 | WACV | Token Fusion: Bridging the Gap between Token Pruning and Token Merging. | Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin |
| 2023 | CVPR | A Closer Look at Rehearsal-Free Continual Learning. | James Seale Smith, Junjiao Tian, Shaunak Halbe, Yen-Chang Hsu, Zsolt Kira |
| 2023 | EMNLP | Dynamic Low-rank Estimation for Transformer-based Language Models. | Ting Hua, Xiao Li, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin |
| 2022 | CVPR | Lite-MDETR: A Lightweight Multi-Modal Detector. | Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin |
| 2022 | EMNLP | Numerical Optimizations for Weighted Low-rank Estimation on Language Models. | Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin |
| 2022 | ICLR | Language model compression with weighted low-rank factorization. | Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin |
| 2022 | ICLR | DictFormer: Tiny Transformer with Shared Dictionary. | Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin |
| 2021 | ACL | Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU. | Yilin Shen, Yen-Chang Hsu, Avik Ray, Hongxia Jin |
| 2021 | ICCV | Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. | James Seale Smith, Yen-Chang Hsu, Jonathan C. Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira |
| 2021 | IJCNN | Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. | James Seale Smith, Jonathan C. Balloch, Yen-Chang Hsu, Zsolt Kira |
| 2021 | NAACL | Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. | Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin |
| 2020 | CVPR | Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data. | Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira |
| 2019 | ICLR | Multi-class classification without multi-class labels. | Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira |
| 2018 | BMVC | Training Student Networks for Acceleration with Conditional Adversarial Networks. | Zheng Xu, Yen-Chang Hsu, Jiawei Huang |
| 2018 | ICLR | Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks. | Zheng Xu, Yen-Chang Hsu, Jiawei Huang |
| 2018 | ICLR | Learning to cluster in order to transfer across domains and tasks. | Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira |
| 2018 | IJCNN | Learning to Cluster for Proposal-Free Instance Segmentation. | Yen-Chang Hsu, Zheng Xu, Zsolt Kira, Jiawei Huang |