A Game-Theoretic Strategy-Aware Interaction Algorithm with Validation on Real Traffic Data. - Liting Sun; Mu Cai; Wei Zhan; Masayoshi Tomizuka (IROS, 2020)

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. - Mu Cai; Hong Zhang 009; Huijuan Huang; Qichuan Geng; Gao Huang 001 (CoRR, 2020)

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. - Mu Cai; Hong Zhang 009; Huijuan Huang; Qichuan Geng; Yixuan Li 001; Gao Huang 001 (ICCV, 2021)

Masked Discrimination for Self-supervised Learning on Point Clouds. - Haotian Liu; Mu Cai; Yong Jae Lee (ECCV (2), 2022)

VOS: Learning What You Don't Know by Virtual Outlier Synthesis. - Xuefeng Du; Zhaoning Wang; Mu Cai; Yixuan Li 001 (ICLR, 2022)

A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance. - Zeyi Huang; Andy Zhou; Zijian Lin; Mu Cai; Haohan Wang; Yong Jae Lee (ICCV, 2023)

Out-of-distribution Detection via Frequency-regularized Generative Models. - Mu Cai; Yixuan Li 001 (WACV, 2023)

Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding. - Mu Cai; Zeyi Huang; Yuheng Li; Haohan Wang; Yong Jae Lee (CoRR, 2023)

Investigating the Catastrophic Forgetting in Multimodal Large Language Models. - Yuexiang Zhai; Shengbang Tong; Xiao Li 022; Mu Cai; Qing Qu 001; Yong Jae Lee; Yi Ma 001 (CoRR, 2023)

Making Large Multimodal Models Understand Arbitrary Visual Prompts. - Mu Cai; Haotian Liu; Siva Karthik Mustikovela; Gregory P. Meyer; Yuning Chai; Dennis Park; Yong Jae Lee (CoRR, 2023)

CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples. - Jianrui Zhang; Mu Cai; Tengyang Xie; Yong Jae Lee (ACL (Findings), 2024)

Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning. - Yuexiang Zhai; Shengbang Tong; Xiao Li 022; Mu Cai; Qing Qu 001; Yong Jae Lee; Yi Ma 001 (CPAL, 2024)

ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts. - Mu Cai; Haotian Liu; Siva Karthik Mustikovela; Gregory P. Meyer; Yuning Chai; Dennis Park; Yong Jae Lee (CVPR, 2024)

Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. - Yuheng Li; Haotian Liu; Mu Cai; Yijun Li 001; Eli Shechtman; Zhe Lin 001; Yong Jae Lee; Krishna Kumar Singh (ECCV (21), 2024)

VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation. - Bocheng Zou; Mu Cai; Jianrui Zhang; Yong Jae Lee (EMNLP, 2024)

Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds. - Mu Cai; Chenxu Luo; Yong Jae Lee; Xiaodong Yang 001 (IROS, 2024)

Yo'LLaVA: Your Personalized Language and Vision Assistant. - Thao Nguyen; Haotian Liu; Yuheng Li; Mu Cai; Utkarsh Ojha; Yong Jae Lee (NeurIPS, 2024)

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models. - Yuzhang Shang; Mu Cai; Bingxin Xu; Yong Jae Lee; Yan Yan 002 (CoRR, 2024)

Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner. - Yuzhang Shang; Bingxin Xu; Weitai Kang; Mu Cai; Yuheng Li; Zehao Wen; Zhen Dong 003; Kurt Keutzer; Yong Jae Lee; Yan Yan 002 (CoRR, 2024)

Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos. - Jianrui Zhang; Mu Cai; Yong Jae Lee (CoRR, 2024)

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. - Mu Cai; Reuben Tan; Jianrui Zhang; Bocheng Zou; Kai Zhang 039; Feng Yao; Fangrui Zhu; Jing Gu; Yiwu Zhong; Yuzhang Shang; Yao Dou; Jaden Park; et al. (CoRR, 2024)

Magma: A Foundation Model for Multimodal AI Agents. - Jianwei Yang; Reuben Tan; Qianhui Wu; Ruijie Zheng; Baolin Peng; Yongyuan Liang; Yu Gu 017; Mu Cai; Seonghyeon Ye; Joel Jang; Yuquan Deng; Jianfeng Gao 001 (CVPR, 2025)

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. - Xiang Li 109; Cristina Mata; Jongwoo Park 003; Kumara Kahatapitiya; Yoo Sung Jang; Jinghuan Shang; Kanchana Ranasinghe; Ryan D. Burgert; Mu Cai; Yong Jae Lee; Michael S. Ryoo (ICLR, 2025)

Matryoshka Multimodal Models. - Mu Cai; Jianwei Yang; Jianfeng Gao 001; Yong Jae Lee (ICLR, 2025)

An Investigation on LLMs' Visual Understanding Ability Using SVG for Image-Text Bridging. - Mu Cai; Zeyi Huang; Yuheng Li; Utkarsh Ojha; Haohan Wang; Yong Jae Lee (WACV, 2025)

Magma: A Foundation Model for Multimodal AI Agents. - Jianwei Yang; Reuben Tan; Qianhui Wu; Ruijie Zheng; Baolin Peng; Yongyuan Liang; Yu Gu 017; Mu Cai; Seonghyeon Ye; Joel Jang; Yuquan Deng; Lars Liden; et al. (CoRR, 2025)

Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models. - Hyunsik Chae; Seungwoo Yoon; Jaden Park; Chloe Yewon Chun; Yongin Cho; Mu Cai; Yong Jae Lee; Ernest K. Ryu (CoRR, 2025)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities. - Gheorghe Comanici; Eric Bieber; Mike Schaekermann; Ice Pasupat; Noveen Sachdeva; Inderjit S. Dhillon; Marcel Blistein; Ori Ram; Dan Zhang; Evan Rosen; Luke Marris; Sam Petulla; et al. (CoRR, 2025)

When Tokens Talk Too Much: A Survey of Multimodal Long-Context Token Compression across Images, Videos, and Audios. - Kele Shao; Keda Tao; Kejia Zhang; Sicheng Feng; Mu Cai; Yuzhang Shang; Haoxuan You; Can Qin; Yang Sui; Huan Wang (CoRR, 2025)