Learned Turbo-type Affine Rank Minimization. - Xuehai He; Xiaojun Yuan 002; Zhipeng Xue (WCSP, 2019)

Learned Turbo Message Passing for Affine Rank Minimization and Compressed Robust Principal Component Analysis. - Xuehai He; Zhipeng Xue; Xiaojun Yuan 002 (IEEE Access, 2019)

PathVQA: 30000+ Questions for Medical Visual Question Answering. - Xuehai He; Yichen Zhang; Luntian Mou; Eric P. Xing; Pengtao Xie (CoRR, 2020)

COVID-CT-Dataset: A CT Scan Dataset about COVID-19. - Jinyu Zhao; Yichen Zhang; Xuehai He; Pengtao Xie (CoRR, 2020)

On the Generation of Medical Dialogues for COVID-19. - Wenmian Yang; Guangtao Zeng; Bowen Tan; Zeqian Ju; Subrato Chakravorty; Xuehai He; Shu Chen; Xingyi Yang; Qingyang Wu; Zhou Yu; Eric P. Xing; Pengtao Xie (CoRR, 2020)

Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms. - Xingyi Yang; Xuehai He; Yuxiao Liang; Yue Yang; Shanghang Zhang; Pengtao Xie (CoRR, 2020)

Pathological Visual Question Answering. - Xuehai He; Zhuo Cai 001; Wenlan Wei; Yichen Zhang; Luntian Mou; Eric P. Xing; Pengtao Xie (CoRR, 2020)

Towards Visual Question Answering on Pathology Images. - Xuehai He; Zhuo Cai 001; Wenlan Wei; Yichen Zhang; Luntian Mou; Eric P. Xing; Pengtao Xie (ACL/IJCNLP (2), 2021)

On the Generation of Medical Dialogs for COVID-19. - Meng Zhou; Zechen Li 001; Bowen Tan; Guangtao Zeng; Wenmian Yang; Xuehai He; Zeqian Ju; Subrato Chakravorty; Shu Chen; Xingyi Yang; Yichen Zhang; Qingyang Wu; et al. (ACL/IJCNLP (2), 2021)

CPL: Counterfactual Prompt Learning for Vision and Language Models. - Xuehai He; Diji Yang; Weixi Feng; Tsu-Jui Fu; Arjun R. Akula; Varun Jampani; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Wang 061 (EMNLP, 2022)

Parameter-efficient Fine-tuning for Vision Transformers. - Xuehai He; Chunyuan Li; Pengchuan Zhang; Jianwei Yang; Xin Eric Wang (CoRR, 2022)

JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents. - Kaizhi Zheng; Kaiwen Zhou; Jing Gu; Yue Fan; Jialu Wang; Zonglin Di; Xuehai He; Xin Eric Wang (CoRR, 2022)

Parameter-Efficient Model Adaptation for Vision Transformers. - Xuehai He; Chunyuan Li; Pengchuan Zhang; Jianwei Yang; Xin Eric Wang (AAAI, 2023)

Multimodal Graph Transformer for Multimodal Question Answering. - Xuehai He; Xin Eric Wang (EACL, 2023)

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. - Weixi Feng; Xuehai He; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; Xin Eric Wang; William Yang Wang (ICLR, 2023)

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. - Weixi Feng; Wanrong Zhu; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Xuehai He; Sugato Basu; Xin Eric Wang; William Yang Wang (NeurIPS, 2023)

Discriminative Diffusion Models as Few-shot Vision and Language Learners. - Xuehai He; Weixi Feng; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Eric Wang (CoRR, 2023)

MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens. - Kaizhi Zheng; Xuehai He; Xin Eric Wang (CoRR, 2023)

Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning. - Jiachen Li; Qiaozi Gao; Michael Johnston; Xiaofeng Gao 002; Xuehai He; Hangjie Shi; Suhaila Shakiah; Reza Ghanadan; William Yang Wang (ICML, 2024)

ComCLIP: Training-Free Compositional Image and Text Matching. - Kenan Jiang; Xuehai He; Ruize Xu; Xin Wang 061 (NAACL-HLT, 2024)

Mojito: Motion Trajectory and Intensity Control for Video Generation. - Xuehai He; Shuohang Wang; Jianwei Yang; Xiaoxia Wu; Yiping Wang; Kuan Wang; Zheng Zhan 004; Olatunji Ruwase; Yelong Shen; Xin Eric Wang (CoRR, 2024)

Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization. - Pengtao Xie; Xingchen Zhao; Xuehai He (Trans. Assoc. Comput. Linguistics, 2024)

Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners. - Xuehai He; Weixi Feng; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Eric Wang (Trans. Mach. Learn. Res., 2024)

FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image Generation. - Xuehai He; Jian Zheng; Jacob Zhiyuan Fang; Robinson Piramuthu; Mohit Bansal; Vicente Ordonez; Gunnar A. Sigurdsson; Nanyun Peng 001; Xin Eric Wang (Trans. Mach. Learn. Res., 2024)

Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA. - Qianqi Yan; Xuehai He; Xiang Yue; Xin Eric Wang (ACL (Findings), 2025)

Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation. - Yiping Wang; Xuehai He; Kuan Wang; Luyao Ma; Jianwei Yang; Shuohang Wang; Simon Shaolei Du; Yelong Shen (CVPR, 2025)

MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos. - Xuehai He; Weixi Feng; Kaizhi Zheng; Yujie Lu; Wanrong Zhu; Jiachen Li; Yue Fan; Jianfeng Wang; Linjie Li; Zhengyuan Yang; Kevin Lin; William Yang Wang; et al. (ICLR, 2025)

EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing. - Kaizhi Zheng; Xiaotong Chen; Xuehai He; Jing Gu; Linjie Li; Zhengyuan Yang; Kevin Lin; Jianfeng Wang; Lijuan Wang; Xin Eric Wang (ICLR, 2025)

Reinforcement Learning for Reasoning in Large Language Models with One Training Example. - Yiping Wang; Qing Yang; Zhiyuan Zeng; Liliang Ren; Lucas Liu; Baolin Peng; Hao Cheng 002; Xuehai He; Kuan Wang; Jianfeng Gao 001; Weizhu Chen; Shuohang Wang; et al. (CoRR, 2025)

Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space. - Zhen Zhang; Xuehai He; Weixiang Yan; Ao Shen; Chenyang Zhao; Shuohang Wang; Yelong Shen; Xin Eric Wang (CoRR, 2025)

GRIT: Teaching MLLMs to Think with Images. - Yue Fan; Xuehai He; Diji Yang; Kaizhi Zheng; Ching-Chen Kuo; Yuting Zheng; Sravana Jyothi Narayanaraju; Xinze Guan; Xin Eric Wang (CoRR, 2025)

VLM4D: Towards Spatiotemporal Awareness in Vision Language Models. - Shijie Zhou 003; Alexander Vilesov; Xuehai He; Ziyu Wan; Shuwang Zhang; Aditya Nagachandra; Di Chang; Dongdong Chen; Xin Eric Wang; Achuta Kadambi (CoRR, 2025)