Mai, Zheda

15 publications

ICLR 2026 Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective Justin Lee, Zheda Mai, Jinsu Yoo, Chongyu Fan, Cheng Zhang, Wei-Lun Chao

TMLR 2026 Prompt-Based Adaptation in Large-Scale Vision Models: A Survey Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han

NeurIPS 2025 BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning Jianyang Gu, Samuel Stevens, Elizabeth G Campolongo, Matthew J Thompson, Net Zhang, Jiaman Wu, Andrei Kopanev, Zheda Mai, Alexander E. White, James Balhoff, Wasila Dahdul, Daniel Rubenstein, Hilmar Lapp, Tanya Berger-Wolf, Wei-Lun Chao, Yu Su

CVPRW 2025 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

CVPR 2025 Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation Ziheng Zhang, Jianyang Gu, Arpita Chowdhury, Zheda Mai, David Carlyn, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao

CVPR 2025 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

CVPR 2025 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 Rubenstein, Charles V. Stewart, Anuj Karpatne, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao

NeurIPS 2025 Revisiting Semi-Supervised Learning in the Era of Foundation Models Ping Zhang, Zheda Mai, Quang-Huy Nguyen, Wei-Lun Chao

NeurIPS 2024 Fine-Tuning Is Fine, if Calibrated Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao

NeurIPS 2024 MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs Jihyung Kil, Zheda Mai, Justin Lee, Arpita Chowdhury, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Wei-Lun Chao

NeurIPS 2023 Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao

NeurIPSW 2023 Segment Anything Model (SAM) Enhances Pseudo-Labels for Weakly Supervised Semantic Segmentation Tianle Chen, Zheda Mai, Ruiwen Li, Wei-Lun Chao

CVPR 2023 Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao

AAAI 2021 Online Class-Incremental Continual Learning with Adversarial Shapley Value Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang

CVPRW 2021 Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning Zheda Mai, Ruiwen Li, Hyunwoo Kim, Scott Sanner