Han, Xu

52 publications

ICLR 2026 InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation Weilin Zhao, Zihan Zhou, Zhou Su, Chaojun Xiao, Yuxuan Li, Yanghao Li, Yudi Zhang, Weilun Zhao, Zhen Li, Yuxiang Huang, Ao Sun, Xu Han, Zhiyuan Liu

ICLR 2026 PathChat-SegR1: Reasoning Segmentation in Pathology via SO-GRPO Zelin Liu, Dongdong Chen, Yusong Sun, Yuqi Hu, Huang Jie, Sicheng Dong, Xu Han, Hongmei Yi, Qiyuan Bao, Lichi Zhang

NeurIPS 2025 A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings Xiaoang Xu, Shuo Wang, Xu Han, Zhenghao Liu, Huijia Wu, Pei Pei Li, Zhiyuan Liu, Maosong Sun, Zhaofeng He

ICLR 2025 Divergence-Enhanced Knowledge-Guided Context Optimization for Visual-Language Prompt Tuning Yilun Li, Miaomiao Cheng, Xu Han, Wei Song

CVPR 2025 Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation Qiao Yu, Xianzhi Li, Yuan Tang, Xu Han, Long Hu, Yixue Hao, Min Chen

ICCV 2025 HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss Yi Huang, Ke Zhang, Wei Liu, Yuanyuan Wang, Vishal M. Patel, Le Lu, Xu Han, Dakai Jin, Ke Yan

TMLR 2025 Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices Yuxiang Huang, Binhang Yuan, Xu Han, Chaojun Xiao, Zhiyuan Liu

CVPR 2025 MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning Xu Han, Yuan Tang, Jinfeng Xu, Xianzhi Li

AAAI 2025 More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Jinfeng Xu, Yixue Hao, Long Hu, Min Chen

ICLR 2025 Progressive Compositionality in Text-to-Image Generative Models Xu Han, Linghao Jin, Xiaofeng Liu, Paul Pu Liang

CVPR 2025 SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds Jinfeng Xu, Xianzhi Li, Yuan Tang, Xu Han, Qiao Yu, Yixue Hao, Long Hu, Min Chen

ICML 2025 Sparsing Law: Towards Large Language Models with Greater Activation Sparsity Yuqi Luo, Chenyang Song, Xu Han, Yingfa Chen, Chaojun Xiao, Xiaojun Meng, Liqun Deng, Jiansheng Wei, Zhiyuan Liu, Maosong Sun

ICLR 2025 VisRAG: Vision-Based Retrieval-Augmented Generation on Multi-Modality Documents Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun

ICML 2025 WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang

NeurIPS 2025 ZeroS: Zero‑Sum Linear Attention for Efficient Transformers Jiecheng Lu, Xu Han, Yan Sun, Viresh Pati, Yubin Kim, Siddhartha Somani, Shihao Yang

ICLR 2024 ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning Jiecheng Lu, Xu Han, Shihao Yang

ICML 2024 CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang

NeurIPS 2024 Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun

ICML 2024 Exploring the Benefit of Activation Sparsity in Pre-Training Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou

NeurIPS 2024 InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun

ICMLW 2024 InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun

ICLR 2024 Large Multilingual Models Pivot Zero-Shot Multimodal Learning Across Languages Jinyi Hu, Yuan Yao, Chongyi Wang, Shan Wang, Yinxu Pan, Qianyu Chen, Tianyu Yu, Hanghao Wu, Yue Zhao, Haoye Zhang, Xu Han, Yankai Lin, Jiao Xue, Dahai Li, Zhiyuan Liu, Maosong Sun

AAAI 2024 MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models Yangyu Wu, Xu Han, Wei Song, Miaomiao Cheng, Fei Li

NeurIPS 2024 OneBit: Towards Extremely Low-Bit Large Language Models Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che

ICLR 2024 Predicting Emergent Abilities with Infinite Resolution Evaluation Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

ECCVW 2024 SC-Track: State Transition and Constrained Non-Negative Matrix Factorization for Multi-Camera Multi-Target Tracking Xiaolong Yang, Xuting Duan, Jianshan Zhou, Chunmian Lin, Xu Han

ICMLW 2024 Shall We Team up: Exploring Spontaneous Cooperation of Competing LLM Agents Zengqing Wu, Brian I. Kwon, Shuyuan Zheng, Qianying Liu, Xu Han, Makoto Onizuka, Shaojie Tang, Run Peng, Chuan Xiao

ICLR 2024 Training-Free Multi-Objective Diffusion Model for 3D Molecule Generation Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li

ECCV 2024 V2X-Real: A Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception Hao Xiang, Xin Xia, Zhaoliang Zheng, Runsheng Xu, Letian Gao, Zewei Zhou, Xu Han, Xinkai Ji, Mingxi Li, Zonglin Meng, Li Jin, Mingyue Lei, Zhaoyang Ma, Zihang He, Haoxuan Ma, Yunshuang Yuan, Yingqian Zhao, Jiaqi Ma

AAAI 2024 patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds Zirui Pan, Mengbai Xiao, Xu Han, Dongxiao Yu, Guanghui Zhang, Yao Liu

ICML 2023 Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling Xiaohui Chen, Jiaxing He, Xu Han, Liping Liu

JMLR 2023 Fitting Autoregressive Graph Generative Models Through Maximum Likelihood Estimation Xu Han, Xiaohui Chen, Francisco J. R. Ruiz, Li-Ping Liu

NeurIPS 2023 H3T: Efficient Integration of Memory Optimization and Parallelism for Large-Scale Transformer Training Yuzhong Wang, Xu Han, Weilin Zhao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

NeurIPS 2023 Unifying Predictions of Deterministic and Stochastic Physics in Mesh-Reduced Space with Sequential Flow Generative Model Luning Sun, Xu Han, Han Gao, Jian-Xun Wang, Liping Liu

ICML 2022 GACT: Activation Compressed Training for Generic Network Architectures Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael Mahoney, Alvin Cheung

LoG 2022 PatchGT: Transformer over Non-Trainable Clusters for Learning Graph Representations Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Liping Liu

ICLR 2022 Predicting Physics in Mesh-Reduced Space with Temporal Attention Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Liping Liu

TMLR 2022 Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning Linfeng Liu, Xu Han, Dawei Zhou, Liping Liu

AAAI 2021 Adversarial Language Games for Advanced Natural Language Intelligence Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Kai Zhang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

IJCAI 2021 Domain Generalization Under Conditional and Label Shifts via Variational Bayesian Inference Xiaofeng Liu, Bo Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges El Fakhri, Jonghye Woo

AAAI 2021 GAN Ensemble for Anomaly Detection Xu Han, Xiaohui Chen, Li-Ping Liu

ICCV 2021 Local Temperature Scaling for Probability Calibration Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer

ICML 2021 Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation Xiaohui Chen, Xu Han, Jiajing Hu, Francisco Ruiz, Liping Liu

ICCV 2021 Visual Distant Supervision for Scene Graph Generation Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun

AAAI 2020 Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Jun Lu

AAAI 2020 Neural Snowball for Few-Shot Relation Learning Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun

CVPRW 2020 Wasserstein Loss Based Deep Object Detection Yuzhuo Han, Xiaofeng Liu, Zhenfei Sheng, Yutao Ren, Xu Han, Jane You, Risheng Liu, Zhongxuan Luo

AAAI 2019 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun

CVPR 2019 Networks for Joint Affine and Non-Parametric Image Registration Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer

ICCVW 2019 Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis Xiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Site Li, Jun Lu

IJCAI 2018 Complementary Binary Quantization for Joint Multiple Indexing Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng

AAAI 2018 Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text Xu Han, Zhiyuan Liu, Maosong Sun