Liu, Hui

64 publications

ICLR 2026 Bradley-Terry and Multi-Objective Reward Modeling Are Complementary Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Minhua Lin, Ramraj Chandradevan, Linlin Wu, Zhen Li, Chen Luo, Zongyu Wu, Xianfeng Tang, Qi He, Suhang Wang

TMLR 2026 DiffKGW: Stealthy and Robust Diffusion Model Watermarking Tianxin Wei, Ruizhong Qiu, Yifan Chen, Yunzhe Qi, Jiacheng Lin, Wenxuan Bao, Wenju Xu, Sreyashi Nag, Ruirui Li, Hanqing Lu, Zhengyang Wang, Chen Luo, Hui Liu, Suhang Wang, Jingrui He, Qi He, Xianfeng Tang

ICLR 2026 How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang

ICLR 2026 Mini-Cluster Guided Long-Tailed Deep Clustering Zhixin Li, Yuheng Jia, Guanliang Chen, Hui Liu, Junhui Hou

ICLR 2026 Samples Are Not Equal: A Sample Selection Approach for Deep Clustering Zhengxing Jiao, Yaxin Hou, Jun Ma, Yuhang Li, Ding Ding, Yuheng Jia, Hui Liu, Junhui Hou

ICLR 2026 Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs Zhining Liu, Ziyi Chen, Hui Liu, Chen Luo, Xianfeng Tang, Suhang Wang, Jingying Zeng, Zhenwei Dai, Zhan Shi, Tianxin Wei, Hanqing Lu, Benoit Dumoulin, Hanghang Tong

ICLR 2026 Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs Xiaoke Huang, Ningsen Wang, Hui Liu, Xianfeng Tang, Yuyin Zhou

ICLR 2026 TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use Pengfei He, Zhenwei Dai, Bing He, Hui Liu, Xianfeng Tang, Hanqing Lu, Juanhui Li, Jiayuan Ding, Subhabrata Mukherjee, Suhang Wang, Yue Xing, Jiliang Tang, Benoit Dumoulin

ICLR 2026 Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation Zhiwei Zhang, Xiaomin Li, Yudi Lin, Hui Liu, Ramraj Chandradevan, Linlin Wu, Minhua Lin, Fali Wang, Xianfeng Tang, Qi He, Suhang Wang

LoG 2025 A Pure Transformer Pretraining Framework on Text-Attributed Graphs Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu

CVPR 2025 Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation Kendong Liu, Zhiyu Zhu, Hui Liu, Junhui Hou

NeurIPS 2025 AgentTTS: Large Language Model Agent for Test-Time Compute-Optimal Scaling Strategy in Complex Tasks Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zhen Li, Xianfeng Tang, Qi He, Suhang Wang

ICLR 2025 Catastrophic Failure of LLM Unlearning via Quantization Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang

ICML 2025 Generalization Performance of Ensemble Clustering: From Theory to Algorithm Xu Zhang, Haoye Qiu, Weixuan Liang, Hui Liu, Junhui Hou, Yuheng Jia

NeurIPS 2025 Keep It on a Leash: Controllable Pseudo-Label Generation Towards Realistic Long-Tailed Semi-Supervised Learning Yaxin Hou, Bo Han, Yuheng Jia, Hui Liu, Junhui Hou

NeurIPS 2025 Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal, Hui Liu

NeurIPS 2025 Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal, Hui Liu

NeurIPS 2025 Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space Is All You Need Kecheng Chen, Pingping Zhang, Hui Liu, Jie Liu, Yibing Liu, Jiaxin Huang, Shiqi Wang, Hong Yan, Haoliang Li

AAAI 2025 Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses Hui Liu, Shikai Jin

ICML 2025 Learning from Sample Stability for Deep Clustering Zhixin Li, Yuheng Jia, Hui Liu, Junhui Hou

NeurIPS 2025 Memory Injection Attacks on LLM Agents via Query-Only Interaction Shen Dong, Shaochen Xu, Pengfei He, Yige Li, Jiliang Tang, Tianming Liu, Hui Liu, Zhen Xiang

ICML 2025 Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao

ICLR 2025 NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer Meng You, Zhiyu Zhu, Hui Liu, Junhui Hou

IJCAI 2025 Phenotypic Profile-Informed Generation of Drug-like Molecules via Dual-Channel Variational Autoencoders Hui Liu, Shiye Tian, Xuejun Liu

CVPR 2025 Q-PART: Quasi-Periodic Adaptive Regression with Test-Time Training for Pediatric Left Ventricular Ejection Fraction Regression Jie Liu, Tiexin Qin, Hui Liu, Yilei Shi, Lichao Mou, Xiao Xiang Zhu, Shiqi Wang, Haoliang Li

CVPR 2025 SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures Hui Liu, Chen Jia, Fan Shi, Xu Cheng, Shengyong Chen

TMLR 2025 SFT or RL? an Early Investigation into Training R1-like Reasoning Large Vision-Language Models Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie

CVPR 2025 Six-CD: Benchmarking Concept Removals for Text-to-Image Diffusion Models Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu

AISTATS 2025 Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing

ICCV 2025 Test-Time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates Kecheng Chen, Xinyu Luo, Tiexin Qin, Jie Liu, Hui Liu, Victor Ho Fun Lee, Hong Yan, Haoliang Li

ICLR 2025 Towards Calibrated Deep Clustering Network Yuheng Jia, Jianhong Cheng, Hui Liu, Junhui Hou

ICLR 2025 Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao

NeurIPS 2025 You Can Trust Your Clustering Model: A Parameter-Free Self-Boosting Plug-in for Deep Clustering Hanyang Li, Yuheng Jia, Hui Liu, Junhui Hou

ICLR 2024 Label-Free Node Classification on Graphs with Large Language Models (LLMs) Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang

NeurIPS 2024 Mixture of Link Predictors on Graphs Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang

IJCAI 2024 Modeling Selective Feature Attention for Lightweight Text Matching Jianxiang Zang, Hui Liu

WACV 2024 Neural Style Protection: Counteracting Unauthorized Neural Style Transfer Yaxin Li, Jie Ren, Han Xu, Hui Liu

NeurIPS 2024 PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference Kendong Liu, Zhiyu Zhu, Chuanhao Li, Hui Liu, Huanqiang Zeng, Junhui Hou

ICLR 2024 Sharpness-Aware Data Poisoning Attack Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang

ICLR 2024 Structural Fairness-Aware Active Learning for Graph Neural Networks Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada

AAAI 2024 T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering Lei Wang, Yi Hu, Jiabang He, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen

NeurIPS 2024 Text-Space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang

NeurIPSW 2024 Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study Pengfei He, Yingqian Cui, Han Xu, Hui Liu, Makoto Yamada, Jiliang Tang, Yue Xing

AAAI 2023 Alignment-Enriched Tuning for Patch-Level Pre-Trained Document Image Models Lei Wang, Jiabang He, Xing Xu, Ning Liu, Hui Liu

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

NeurIPS 2023 Global Structure-Aware Diffusion Process for Low-Light Image Enhancement Jinhui Hou, Zhiyu Zhu, Junhui Hou, Hui Liu, Huanqiang Zeng, Hui Yuan

ICCV 2023 ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction Jiabang He, Lei Wang, Yi Hu, Ning Liu, Hui Liu, Xing Xu, Heng Tao Shen

ICML 2023 Probabilistic Categorical Adversarial Attack and Adversarial Training Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang

AAAI 2022 Interpretable Low-Resource Legal Decision Making Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu

AAAI 2022 Multi-Type Urban Crime Prediction Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang

CVPR 2022 Syntax-Aware Network for Handwritten Mathematical Expression Recognition Ye Yuan, Xiao Liu, Wondimu Dikubab, Hui Liu, Zhilong Ji, Zhongqin Wu, Xiang Bai

AAAI 2021 Clustering Ensemble Meets Low-Rank Tensor Approximation Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang

AAAI 2021 DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu

ICCV 2021 Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines Mantang Guo, Jing Jin, Hui Liu, Junhui Hou

AAAI 2021 Learning Light-Weight Translation Models from Deep Transformer Bei Li, Ziyang Wang, Hui Liu, Quan Du, Tong Xiao, Chunliang Zhang, Jingbo Zhu

WACV 2021 RODNet: Radar Object Detection Using Cross-Modal Supervision Yizhou Wang, Zhongyu Jiang, Xiangyu Gao, Jenq-Neng Hwang, Guanbin Xing, Hui Liu

CVPRW 2021 Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment Yizhou Wang, Gaoang Wang, Hung-Min Hsu, Hui Liu, Jenq-Neng Hwang

ICCV 2021 Semantic-Embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang

IJCAI 2020 End-to-End Transition-Based Online Dialogue Disentanglement Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu

IJCAI 2020 Gated POS-Level Language Model for Authorship Verification Linshu Ouyang, Yongzheng Zhang, Hui Liu, Yige Chen, Yipeng Wang

AAAI 2020 Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text Hui Liu, Yongzheng Zhang, Yipeng Wang, Zheng Lin, Yige Chen

AAAI 2020 Learning Multi-Level Dependencies for Robust Word Recognition Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu

CVPR 1991 How Accurately Can Direct Motion Vision Determine Depth? E. J. Weldon Jr., Hui Liu