Xuehai He - RankMe

48 papers A* 8A 1C 1Journal 33Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bridging the Gap Between Multimodal Foundation Models and World Models. CoRR Xuehai He
2025	A*	`conf`	EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing. ICLR Kaizhi Zheng, Xiaotong Chen, Xuehai He, Jing Gu, Linjie Li, Zhengyuan Yang, Kevin Lin, Jianfeng Wang, Lijuan Wang, Xin Eric Wang
2025	J	`jnl`	GRIT: Teaching MLLMs to Think with Images. CoRR Yue Fan, Xuehai He, Diji Yang, Kaizhi Zheng, Ching-Chen Kuo, Yuting Zheng, Sravana Jyothi Narayanaraju, Xinze Guan, Xin Eric Wang
2025	A*	`conf`	Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation. CVPR Yiping Wang, Xuehai He, Kuan Wang, Luyao Ma, Jianwei Yang, Shuohang Wang, Simon Shaolei Du, Yelong Shen
2025	C	`conf`	JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents. NeSy Kaizhi Zheng, Kaiwen Zhou, Jing Gu, Yue Fan, Jialu Wang, Zonglin Di, Xuehai He, Xin Eric Wang
2025	A*	`conf`	MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos. ICLR 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, Lijuan Wang, Xin Eric Wang
2025	J	`jnl`	MorphoSim: An Interactive, Controllable, and Editable Language-guided 4D World Simulator. CoRR Xuehai He, Shijie Zhou, Thivyanth Venkateswaran, Kaizhi Zheng, Ziyu Wan, Achuta Kadambi, Xin Eric Wang
2025	J	`jnl`	Reinforcement Learning for Reasoning in Large Language Models with One Training Example. CoRR Yiping Wang, Qing Yang, Zhiyuan Zeng, Liliang Ren, Lucas Liu, Baolin Peng, Hao Cheng, Xuehai He, Kuan Wang, Jianfeng Gao, Weizhu Chen, Shuohang Wang, Simon Shaolei Du, Yelong Shen
2025	J	`jnl`	Self-Evolving 3D Scene Generation from a Single Image. CoRR Kaizhi Zheng, Yue Fan, Jing Gu, Zishuo Xu, Xuehai He, Xin Eric Wang
2025	J	`jnl`	Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space. CoRR Zhen Zhang, Xuehai He, Weixiang Yan, Ao Shen, Chenyang Zhao, Shuohang Wang, Yelong Shen, Xin Eric Wang
2025	J	`jnl`	ThetaEvolve: Test-time Learning on Open Problems. CoRR Yiping Wang, Shao-Rong Su, Zhiyuan Zeng, Eva Xu, Liliang Ren, Xinyu Yang, Zeyi Huang, Xuehai He, Luyao Ma, Baolin Peng, Hao Cheng, Pengcheng He, Weizhu Chen, Shuohang Wang, Simon Shaolei Du, Yelong Shen
2025	J	`jnl`	VLM4D: Towards Spatiotemporal Awareness in Vision Language Models. CoRR Shijie Zhou, Alexander Vilesov, Xuehai He, Ziyu Wan, Shuwang Zhang, Aditya Nagachandra, Di Chang, Dongdong Chen, Xin Eric Wang, Achuta Kadambi
2025	—	`conf`	Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA. ACL (Findings) Qianqi Yan, Xuehai He, Xiang Yue, Xin Eric Wang
2024	—	`conf`	ComCLIP: Training-Free Compositional Image and Text Matching. NAACL-HLT Kenan Jiang, Xuehai He, Ruize Xu, Xin Wang
2024	J	`jnl`	Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners. Trans. Mach. Learn. Res. Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
2024	J	`jnl`	EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing. CoRR Kaizhi Zheng, Xiaotong Chen, Xuehai He, Jing Gu, Linjie Li, Zhengyuan Yang, Kevin Lin, Jianfeng Wang, Lijuan Wang, Xin Eric Wang
2024	J	`jnl`	FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image Generation. CoRR Xuehai He, Jian Zheng, Jacob Zhiyuan Fang, Robinson Piramuthu, Mohit Bansal, Vicente Ordonez, Gunnar A. Sigurdsson, Nanyun Peng, Xin Eric Wang
2024	J	`jnl`	FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image Generation. Trans. Mach. Learn. Res. Xuehai He, Jian Zheng, Jacob Zhiyuan Fang, Robinson Piramuthu, Mohit Bansal, Vicente Ordonez, Gunnar A. Sigurdsson, Nanyun Peng, Xin Eric Wang
2024	J	`jnl`	Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation. CoRR Yiping Wang, Xuehai He, Kuan Wang, Luyao Ma, Jianwei Yang, Shuohang Wang, Simon Shaolei Du, Yelong Shen
2024	J	`jnl`	MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos. CoRR 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, Lijuan Wang, Xin Eric Wang
2024	A*	`conf`	Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning. ICML Jiachen Li, Qiaozi Gao, Michael Johnston, Xiaofeng Gao, Xuehai He, Hangjie Shi, Suhaila Shakiah, Reza Ghanadan, William Yang Wang
2024	J	`jnl`	Mojito: Motion Trajectory and Intensity Control for Video Generation. CoRR Xuehai He, Shuohang Wang, Jianwei Yang, Xiaoxia Wu, Yiping Wang, Kuan Wang, Zheng Zhan, Olatunji Ruwase, Yelong Shen, Xin Eric Wang
2024	J	`jnl`	Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization. Trans. Assoc. Comput. Linguistics Pengtao Xie, Xingchen Zhao, Xuehai He
2024	J	`jnl`	Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA. CoRR Qianqi Yan, Xuehai He, Xiang Yue, Xin Eric Wang
2023	J	`jnl`	Discriminative Diffusion Models as Few-shot Vision and Language Learners. CoRR Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
2023	A*	`conf`	LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. NeurIPS Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang
2023	J	`jnl`	LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. CoRR Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang
2023	J	`jnl`	Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning. CoRR Jiachen Li, Qiaozi Gao, Michael Johnston, Xiaofeng Gao, Xuehai He, Suhaila Shakiah, Hangjie Shi, Reza Ghanadan, William Yang Wang
2023	J	`jnl`	MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens. CoRR Kaizhi Zheng, Xuehai He, Xin Eric Wang
2023	A	`conf`	Multimodal Graph Transformer for Multimodal Question Answering. EACL Xuehai He, Xin Eric Wang
2023	J	`jnl`	Multimodal Graph Transformer for Multimodal Question Answering. CoRR Xuehai He, Xin Eric Wang
2023	A*	`conf`	Parameter-Efficient Model Adaptation for Vision Transformers. AAAI Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang
2023	A*	`conf`	Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. ICLR Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
2022	A*	`conf`	CPL: Counterfactual Prompt Learning for Vision and Language Models. EMNLP Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Wang
2022	J	`jnl`	CPL: Counterfactual Prompt Learning for Vision and Language Models. CoRR Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
2022	J	`jnl`	ComCLIP: Training-Free Compositional Image and Text Matching. CoRR Kenan Jiang, Xuehai He, Ruize Xu, Xin Eric Wang
2022	J	`jnl`	JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents. CoRR Kaizhi Zheng, Kaiwen Zhou, Jing Gu, Yue Fan, Jialu Wang, Zonglin Di, Xuehai He, Xin Eric Wang
2022	J	`jnl`	Parameter-efficient Fine-tuning for Vision Transformers. CoRR Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang
2022	J	`jnl`	Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. CoRR Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
2021	—	`conf`	On the Generation of Medical Dialogs for COVID-19. ACL/IJCNLP (2) Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric P. Xing, Pengtao Xie
2021	—	`conf`	Towards Visual Question Answering on Pathology Images. ACL/IJCNLP (2) Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie
2020	J	`jnl`	COVID-CT-Dataset: A CT Scan Dataset about COVID-19. CoRR Jinyu Zhao, Yichen Zhang, Xuehai He, Pengtao Xie
2020	J	`jnl`	On the Generation of Medical Dialogues for COVID-19. CoRR 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
2020	J	`jnl`	PathVQA: 30000+ Questions for Medical Visual Question Answering. CoRR Xuehai He, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie
2020	J	`jnl`	Pathological Visual Question Answering. CoRR Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric P. Xing, Pengtao Xie
2020	J	`jnl`	Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms. CoRR Xingyi Yang, Xuehai He, Yuxiao Liang, Yue Yang, Shanghang Zhang, Pengtao Xie
2019	J	`jnl`	Learned Turbo Message Passing for Affine Rank Minimization and Compressed Robust Principal Component Analysis. IEEE Access Xuehai He, Zhipeng Xue, Xiaojun Yuan
2019	—	`conf`	Learned Turbo-type Affine Rank Minimization. WCSP Xuehai He, Xiaojun Yuan, Zhipeng Xue