Spatial Regularized Classification Network for Spinal Dislocation Diagnosis. - Bolin Lai; Shiqi Peng; Guangyu Yao; Ya Zhang 002; Xiaoyun Zhang 001; Yanfeng Wang 001; Hui Zhao (MLMI@MICCAI, 2019)

Learning-Based Bone Quality Classification Method for Spinal Metastasis. - Shiqi Peng; Bolin Lai; Guangyu Yao; Xiaoyun Zhang 001; Ya Zhang 002; Yanfeng Wang 001; Hui Zhao (MLMI@MICCAI, 2019)

Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-Propagation. - Shiqi Peng; Bolin Lai; Guangyu Yao; Xiaoyun Zhang 001; Ya Zhang 002; Yanfeng Wang 001; Hui Zhao (DART/MIL3ID@MICCAI, 2019)

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach. - Bolin Lai; Xiaoyu Bai; Yuhsuan Wu; Xiaoyun Zhou 001; Peng Wang; Jinzheng Cai; Yuankai Huo; Lingyun Huang; Yong Xia 001; Jing Xiao 006; Le Lu 001; Heping Hu; et al. (CoRR, 2020)

Semi-supervised Vein Segmentation of Ultrasound Images for Autonomous Venipuncture. - Yu Chen; Yuxuan Wang; Bolin Lai; Zijie Chen; Xu Cao; Nanyang Ye 001; Zhongyuan Ren; Junbo Zhao; Xiao-Yun Zhou 001; Peng Qi 001 (IROS, 2021)

Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. - Bolin Lai; Yuhsuan Wu; Xiaoyu Bai; Xiaoyun Zhou 001; Peng Wang; Jinzheng Cai; Yuankai Huo; Lingyun Huang; Yong Xia 001; Jing Xiao 006; Le Lu 001; Heping Hu; et al. (PRIME@MICCAI, 2021)

Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data. - Bolin Lai; Yuhsuan Wu; Xiaoyun Zhou 001; Peng Wang; Le Lu 001; Lingyun Huang; Mei Han; Jing Xiao 006; Heping Hu; Adam P. Harrison (MLMI@MICCAI, 2021)

Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. - Xiao-Yun Zhou 001; Bolin Lai; Weijian Li 001; Yirui Wang 002; Kang Zheng; Fakai Wang; Chihung Lin; Le Lu 001; Lingyun Huang; Mei Han; Guotong Xie; Jing Xiao 006; et al. (DGM4MICCAI/DALI@MICCAI, 2021)

A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI. - Peng Wang; Yuhsuan Wu; Bolin Lai; Xiaoyun Zhou 001; Le Lu 001; Wendi Liu; Huabang Zhou; Lingyun Huang; Jing Xiao 006; Adam P. Harrison; Ningyang Jia; Heping Hu (CoRR, 2021)

In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation. - Bolin Lai; Miao Liu 007; Fiona Ryan; James M. Rehg (BMVC, 2022)

Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games. - Bolin Lai; Hongxin Zhang 005; Miao Liu 007; Aryan J. Pariani; Fiona Ryan; Wenqi Jia 001; Shirley Anugrah Hayati; James M. Rehg; Diyi Yang (CoRR, 2022)

Werewolf Among Us: Multimodal Resources for Modeling Persuasion Behaviors in Social Deduction Games. - Bolin Lai; Hongxin Zhang 005; Miao Liu 007; Aryan J. Pariani; Fiona Ryan; Wenqi Jia 001; Shirley Anugrah Hayati; James M. Rehg; Diyi Yang (ACL (Findings), 2023)

Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations. - Sangmin Lee 001; Bolin Lai; Fiona Ryan; Bikram Boote; James M. Rehg (CVPR, 2024)

LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning. - Bolin Lai; Xiaoliang Dai; Lawrence Chen 002; Guan Pang; James M. Rehg; Miao Liu 007 (ECCV (9), 2024)

Listen to Look Into the Future: Audio-Visual Egocentric Gaze Anticipation. - Bolin Lai; Fiona Ryan; Wenqi Jia 001; Miao Liu 007; James M. Rehg (ECCV (9), 2024)

What is the Visual Cognition Gap between Humans and Multimodal LLMs? - Xu Cao; Bolin Lai; Wenqian Ye; Yunsheng Ma; Joerg Heintz; Jintai Chen; Jianguo Cao; James M. Rehg (CoRR, 2024)

MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs. - Wenqian Ye; Guangtao Zheng; Yunsheng Ma; Xu Cao; Bolin Lai; James M. Rehg; Aidong Zhang (CoRR, 2024)

Towards Social AI: A Survey on Understanding Social Interactions. - Sangmin Lee 001; Minzhi Li; Bolin Lai; Wenqi Jia 001; Fiona Ryan; Xu Cao; Ozgur Kara; Bikram Boote; Weiyan Shi; Diyi Yang; James M. Rehg (CoRR, 2024)

Human Action Anticipation: A Survey. - Bolin Lai; Sam Toyer; Tushar Nagarajan; Rohit Girdhar; Shengxin Zha; James M. Rehg; Kris Kitani; Kristen Grauman; Ruta Desai; Miao Liu 007 (CoRR, 2024)

In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation and Beyond. - Bolin Lai; Miao Liu 007; Fiona Ryan; James M. Rehg (Int. J. Comput. Vis., 2024)

SocialGesture: Delving into Multi-person Gesture Understanding. - Xu Cao; Pranav Virupaksha; Wenqi Jia 001; Bolin Lai; Fiona Ryan; Sangmin Lee 001; James M. Rehg (CVPR, 2025)

Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs. - Zeyi Huang; Yuyang Ji; Xiaofang Wang; Nikhil Mehta 002; Tong Xiao; Donghyun Lee 004; Sigmund Vanvalkenburgh; Shengxin Zha; Bolin Lai; Licheng Yu; Ning Zhang; Yong Jae Lee; et al. (CVPR, 2025)

Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation. - Bolin Lai; Felix Juefei-Xu; Miao Liu 007; Xiaoliang Dai; Nikhil Mehta 002; Chenguang Zhu; Zeyi Huang; James M. Rehg; Sangmin Lee 001; Ning Zhang; Tong Xiao (CVPR, 2025)

Towards Online Multi-Modal Social Interaction Understanding. - Xinpeng Li; Shijian Deng; Bolin Lai; Weiguo Pian; James M. Rehg; Yapeng Tian (CoRR, 2025)

Learning Predictive Visuomotor Coordination. - Wenqi Jia 001; Bolin Lai; Miao Liu 007; Danfei Xu; James M. Rehg (CoRR, 2025)

Incorporating Flexible Image Conditioning into Text-to-Video Diffusion Models without Training. - Bolin Lai; Sangmin Lee 001; Xu Cao; Xiang Li; James M. Rehg (CoRR, 2025)