Li, Hang

61 publications

ICLRW 2025 ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models via Error Detection Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, YiFan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen

CVPR 2025 FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp

TMLR 2025 Graph-Level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani

AAAI 2025 Knowledge Tagging with Large Language Model Based Multi-Agent System Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen

CVPR 2025 Learning Flow Fields in Attention for Controllable Person Image Generation Zijian Zhou, Shikun Liu, Xiao Han, Haozhe Liu, Kam Woh Ng, Tian Xie, Yuren Cong, Hang Li, Mengmeng Xu, Juan-Manuel Perez-Rua, Aditya Patel, Tao Xiang, Miaojing Shi, Sen He

CVPR 2025 MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal Output Yanyuan Chen, Dexuan Xu, Yu Huang, Songkun Zhan, Hanpin Wang, Dongxue Chen, Xueping Wang, Meikang Qiu, Hang Li

ICML 2025 Robust Multi-Bit Text Watermark with LLM-Based Paraphrasers Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li

ICLRW 2025 Robust Multi-Bit Text Watermark with LLM-Based Paraphrasers Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li

LoG 2025 Sub-Graph Based Diffusion Model for Link Prediction Hang Li, Wei Jin, Geri Skenderi, Harry Shomer, Wenzhuo Tang, Wenqi Fan, Jiliang Tang

NeurIPS 2024 AGILE: A Novel Reinforcement Learning Framework of LLM Agents Peiyuan Feng, Yichen He, Guanhua Huang, Yuan Lin, Hanchong Zhang, Yuchen Zhang, Hang Li

ICML 2024 Boximator: Generating Rich and Controllable Motions for Video Synthesis Jiawei Wang, Yuchen Zhang, Jiaxin Zou, Yan Zeng, Guoqiang Wei, Liping Yuan, Hang Li

WACV 2024 Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp

CVPR 2024 Make Pixels Dance: High-Dynamic Video Generation Yan Zeng, Guoqiang Wei, Jiani Zheng, Jiaxin Zou, Yang Wei, Yuchen Zhang, Hang Li

CVPR 2024 Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu

ICLRW 2024 Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu

ICLR 2024 Unleashing Large-Scale Video Generative Pre-Training for Visual Robot Manipulation Hongtao Wu, Ya Jing, Chilam Cheang, Guangzeng Chen, Jiafeng Xu, Xinghang Li, Minghuan Liu, Hang Li, Tao Kong

ICLR 2024 Vision-Language Foundation Models as Effective Robot Imitators Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong

ICCV 2023 Do DALL-E and Flamingo Understand Each Other? Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp

NeurIPSW 2023 Exploring the Potential of Large Language Models (LLMs) in Learning on Graph Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang

IJCAI 2023 Generative Diffusion Models on Graphs: Methods and Applications Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li

NeurIPSW 2023 Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models' Alignment Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, Hang Li

NeurIPS 2023 Uncertainty-Aware Instance Reweighting for Off-Policy Learning Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Yang Liu, John C.S. Lui, Hang Li

ICML 2023 Weak Proxies Are Sufficient and Preferable for Fairness with Missing Sensitive Attributes Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu

ICML 2022 Directed Acyclic Transformer for Non-Autoregressive Machine Translation Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang

ICML 2022 Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts Yan Zeng, Xinsong Zhang, Hang Li

AAAI 2022 Self-Supervised Audio-and-Text Pre-Training with Extremely Low-Resource Parallel Data Yu Kang, Tianqiao Liu, Hang Li, Yang Hao, Wenbiao Ding

NeurIPS 2021 Disentangled Contrastive Learning on Graphs Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu

IJCAI 2020 Feature Statistics Guided Efficient Filter Pruning Hang Li, Chen Ma, Wei Xu, Xue Liu

ICML 2017 Coupling Distributed and Symbolic Execution for Natural Language Queries Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin

ICLR 2017 Coupling Distributed and Symbolic Execution for Natural Language Queries Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin

IJCAI 2017 Effective Representing of Information Network by Variational Autoencoder Hang Li, Haozheng Wang, Zhenglu Yang, Haochen Liu

MLJ 2017 Introduction: Special Issue of Selected Papers from ACML 2015 Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou

AAAI 2017 Neural Machine Translation Advised by Statistical Machine Translation Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang

AAAI 2017 Neural Machine Translation with Reconstruction Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li

MLJ 2016 Introduction: Special Issue of Selected Papers from ACML 2014 Hang Li, Dinh Q. Phung, Tru H. Cao, Tu Bao Ho, Zhi-Hua Zhou

AAAI 2016 Learning to Answer Questions from Image Using Convolutional Neural Network Lin Ma, Zhengdong Lu, Hang Li

IJCAI 2016 Neural Enquirer: Learning to Query Tables in Natural Language Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao

IJCAI 2016 Neural Generative Question Answering Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li

ICCV 2015 Multimodal Convolutional Neural Networks for Matching Image and Sentence Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li

IJCAI 2015 Reader-Aware Multi-Document Summarization via Sparse Coding Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao

IJCAI 2015 Syntax-Based Deep Matching of Short Texts Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu

NeurIPS 2014 Convolutional Neural Network Architectures for Matching Natural Language Sentences Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen

ACML 2014 Preface Dinh Phung, Hang Li

NeurIPS 2013 A Deep Architecture for Matching Short Texts Zhengdong Lu, Hang Li

IJCAI 2013 An Introduction to String Re-Writing Kernel Fan Bu, Hang Li, Xiaoyan Zhu

ICML 2013 General Functional Matrix Factorization Using Gradient Boosting Tianqi Chen, Hang Li, Qiang Yang, Yong Yu

JMLR 2013 Learning Bilinear Model for Matching Queries and Documents Wei Wu, Zhengdong Lu, Hang Li

JMLR 2011 Learning a Robust Relevance Model for Search Using Kernel Methods Wei Wu, Jun Xu, Hang Li, Satoshi Oyama

AAAI 2011 Multi-Task Learning in Square Integrable Space Wei Wu, Hang Li, Yunhua Hu, Rong Jin

ICML 2009 Generalization Analysis of Listwise Learning-to-Rank Algorithms Yanyan Lan, Tie-Yan Liu, Zhiming Ma, Hang Li

NeurIPS 2009 Ranking Measures and Loss Functions in Learning to Rank Wei Chen, Tie-yan Liu, Yanyan Lan, Zhi-ming Ma, Hang Li

NeurIPS 2009 Statistical Consistency of Top-K Ranking Fen Xia, Tie-yan Liu, Hang Li

NeurIPS 2008 Global Ranking Using Continuous Conditional Random Fields Tao Qin, Tie-yan Liu, Xu-dong Zhang, De-sheng Wang, Hang Li

ICML 2008 Listwise Approach to Learning to Rank: Theory and Algorithm Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Hang Li

ICML 2008 Query-Level Stability and Generalization in Learning to Rank Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li

ICML 2007 Learning to Rank: From Pairwise Approach to Listwise Approach Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Hang Li

ECML-PKDD 2006 Cost-Sensitive Learning of SVM for Ranking Jun Xu, Yunbo Cao, Hang Li, Yalou Huang

ICML 2003 Text Classification Using Stochastic Keyword Generation Cong Li, Ji-Rong Wen, Hang Li

ICML 1996 Learning Word Association Norms Using Tree Cut Pair Models Naoki Abe, Hang Li

ICML 1995 On-Line Learning of Binary Lexical Relations Using Two-Dimensional Weighted Majority Algorithms Naoki Abe, Hang Li, Atsuyoshi Nakamura

NeurIPS 1991 A Comparison of Projection Pursuit and Neural Network Regression Modeling Jenq-Neng Huang, Hang Li, Martin Maechler, R. Douglas Martin, Jim Schimert