ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities. - Yixin Wang 003; Yang Zhang 002; Yang Liu 250; Zihao Lin 003; Jiang Tian; Cheng Zhong; Zhongchao Shi; Jianping Fan 007; Zhiqiang He 002 (MICCAI (7), 2021)

Confidence-Guided Radiology Report Generation. - Yixin Wang 003; Zihao Lin 003; Jiang Tian; Zhongchao Shi; Yang Zhang 002; Jianping Fan 007; Zhiqiang He 002 (CoRR, 2021)

Prompt Tuning based Adapter for Vision-Language Model Adaption. - Jingchen Sun; Jiayu Qin 001; Zihao Lin 003; Changyou Chen (CoRR, 2023)

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training. - Yifan Shi; Yingqi Liu; Yan Sun; Zihao Lin 003; Li Shen 008; Xueqian Wang 001; Dacheng Tao (CoRR, 2023)

Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph. - Yixin Wang 003; Zihao Lin 003; Haoyu Dong (CoRR, 2023)

Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models. - Zihao Lin 003; Yan Sun; Yifan Shi; Xueqian Wang 001; Lifu Huang; Li Shen 008; Dacheng Tao (CoRR, 2023)

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. - Zihao Lin 003; Mohammad Beigi; Hongxuan Li; Yufan Zhou 001; Yuxiang Zhang; Qifan Wang 001; Wenpeng Yin 001; Lifu Huang (ACL (1), 2024)

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States. - Mohammad Beigi; Ying Shen 006; Runing Yang; Zihao Lin 003; Qifan Wang 001; Ankith Mohan; Jianfeng He; Ming Jin 002; Chang-Tien Lu; Lifu Huang (EMNLP (Findings), 2024)

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. - Binxu Li; Tiankai Yan; Yuanting Pan; Jie Luo 003; Ruiyang Ji; Jiayuan Ding; Zhe Xu; Shilong Liu; Haoyu Dong; Zihao Lin 003; Yixin Wang 003 (EMNLP (Findings), 2024)

Holistic Evaluation for Interleaved Text-and-Image Generation. - Minqian Liu; Zhiyang Xu; Zihao Lin 003; Trevor Ashby; Joy Rimchala; Jiaxin Zhang 005; Lifu Huang (EMNLP, 2024)

InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States. - Mohammad Beigi; Ying Shen 006; Runing Yang; Zihao Lin 003; Qifan Wang 001; Ankith Mohan; Jianfeng He; Ming Jin 002; Chang-Tien Lu; Lifu Huang (CoRR, 2024)

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. - Binxu Li; Tiankai Yan; Yuanting Pan; Zhe Xu; Jie Luo 003; Ruiyang Ji; Shilong Liu; Haoyu Dong; Zihao Lin 003; Yixin Wang 003 (CoRR, 2024)

Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models. - Mohammad Beigi; Sijia Wang; Ying Shen 006; Zihao Lin 003; Adithya Kulkarni; Jianfeng He; Feng Chen 001; Ming Jin 002; Jin-Hee Cho; Dawei Zhou 001; Chang-Tien Lu; Lifu Huang (CoRR, 2024)

Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents. - Zihao Lin 003; Zichao Wang 001; Yuanting Pan; Varun Manjunatha; Ryan A. Rossi; Angela Lau; Lifu Huang; Tong Sun 005 (CoRR, 2024)

Trust it or not: Confidence-guided automatic radiology report generation. - Yixin Wang 003; Zihao Lin 003; Zhe Xu; Haoyu Dong; Jie Luo 003; Jiang Tian; Zhongchao Shi; Lifu Huang; Yang Zhang 002; Jianping Fan 007; Zhiqiang He 002 (Neurocomputing, 2024)

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models. - Zihao Lin 003; Samyadeep Basu; Mohammad Beigi; Varun Manjunatha; Ryan A. Rossi; Zichao Wang 001; Yufan Zhou 001; Sriram Balasubramanian; Arman Zarei; Keivan Rezaei; Ying Shen 006; Barry Menglong Yao; et al. (CoRR, 2025)

Localizing Knowledge in Diffusion Transformers. - Arman Zarei; Samyadeep Basu; Keivan Rezaei; Zihao Lin 003; Sayan Nag; Soheil Feizi (CoRR, 2025)

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation. - Kaijie Chen; Zihao Lin 003; Zhiyang Xu; Ying Shen 006; Yuguang Yao; Joy Rimchala; Jiaxin Zhang 005; Lifu Huang (CoRR, 2025)