| 2025 | CVPR | Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis. | Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai, Jianyang Gu, Ziheng Zhang, Kazi Sajeed Mehrab, Elizabeth G. Campolongo, Daniel I. Rubenstein, Charles V. Stewart, Anuj Karpatne, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao |
| 2025 | CVPR | Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition. | Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Quang-Huy Nguyen, Li Zhang, Wei-Lun Chao |
| 2025 | CVPR | Efficiently Mitigating Video Content Misalignment on Large Vision Model with Time-Series Data Alignment. | Hanchen Xie, Rose Ma, Jiageng Zhu, Zheda Mai, Wael Abd-Almageed, Zubin Abraham |
| 2025 | CVPR | Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation. | Ziheng Zhang, Jianyang Gu, Arpita Chowdhury, Zheda Mai, David Carlyn, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao |
| 2025 | ICASSP | Attention-Driven Causal Discovery: From Transformer Matrices to Granger Causal Graphs for Non-Stationary Time-series Data. | Jiageng Zhu, Kehao Li, Zheda Mai, Hanchen Xie, Wael AbdAlmageed, Zubin Abraham |
| 2025 | NAACL | MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference. | Zhongwei Wan, Hui Shen, Xin Wang, Che Liu, Zheda Mai, Mi Zhang |
| 2023 | CVPR | Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning. | Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao |
| 2022 | WWW | Distributional Contrastive Embedding for Clarification-based Conversational Critiquing. | Tianshu Shen, Zheda Mai, Ga Wu, Scott Sanner |
| 2022 | SIGIR | Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems. | Zhaolin Gao, Tianshu Shen, Zheda Mai, Mohamed Reda Bouadjenek, Isaac Waller, Ashton Anderson, Ron Bodkin, Scott Sanner |
| 2021 | AAAI | Online Class-Incremental Continual Learning with Adversarial Shapley Value. | Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang |
| 2021 | CVPR | Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning. | Zheda Mai, Ruiwen Li, Hyunwoo Kim, Scott Sanner |
| 2020 | ICDM | Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering. | Zheda Mai, Ga Wu, Kai Luo, Scott Sanner |