Hui Liu - RankMe

164 papers A* 27A 11B 5Journal 100Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Reasoning for Large Language Models. CoRR Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He
2026	J	`jnl`	Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs. CoRR Shenglai Zeng, Tianqi Zheng, Chuan Tian, Dante Everaert, Yau-Shian Wang, Yupin Huang, Michael J. Morais, Rohit Patki, Jinjin Tian, Xinnan Dai, Kai Guo, Monica Xiao Cheng, Hui Liu
2026	J	`jnl`	DiffKGW: Stealthy and Robust Diffusion Model Watermarking. Trans. Mach. Learn. Res. 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
2026	J	`jnl`	Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models. CoRR Zhining Liu, Tianyi Wang, Xiao Lin, Penghao Ouyang, Gaotang Li, Ze Yang, Hui Liu, Sumit Keswani, Vishwa Pardeshi, Huijun Zhao, Wei Fan, Hanghang Tong
2026	J	`jnl`	Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks. CoRR Bohan Wang, Zewen Liu, Lu Lin, Hui Liu, Li Xiong, Ming Jin, Wei Jin
2026	J	`jnl`	Fix Before Search: Benchmarking Agentic Query Visual Pre-processing in Multimodal Retrieval-augmented Generation. CoRR Jiankun Zhang, Shenglai Zeng, Kai Guo, Xinnan Dai, Hui Liu, Jiliang Tang, Yi Chang
2026	J	`jnl`	From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG. CoRR Yucheng Chu, Haoyu Han, Shen Dong, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Hui Liu
2026	J	`jnl`	How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use. CoRR 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
2026	J	`jnl`	How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment. CoRR Hang Li, Kaiqi Yang, Xianxuan Long, Fedor Filippov, Yucheng Chu, Yasemin Copur-Gencturk, Peng He, Cory Miller, Namsoo Shin, Joseph Krajcik, Hui Liu, Jiliang Tang
2026	A*	`conf`	Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation. AAAI Yu Song, Zhigang Hua, Yan Xie, Bingheng Li, Jingzhe Liu, Bo Long, Jiliang Tang, Hui Liu
2026	J	`jnl`	MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution. CoRR Minhua Lin, Zhiwei Zhang, Hanqing Lu, Hui Liu, Xianfeng Tang, Qi He, Xiang Zhang, Suhang Wang
2026	J	`jnl`	Position: Agentic Evolution is the Path to Evolving LLMs. CoRR Minhua Lin, Hanqing Lu, Zhan Shi, Bing He, Rui Mao, Zhiwei Zhang, Zongyu Wu, Xianfeng Tang, Hui Liu, Zhenwei Dai, Xiang Zhang, Suhang Wang, Benoît Dumoulin, Jian Pei
2026	A	`conf`	Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs). WSDM Zhisheng Qi, Yongjia Lei, Haoyu Han, Harry Shomer, Kaize Ding, Yu Zhang, Ryan A. Rossi, Hui Liu, Yu Wang
2025	J	`jnl`	A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications. CoRR Minhua Lin, Zongyu Wu, Zhichao Xu, Hui Liu, Xianfeng Tang, Qi He, Charu C. Aggarwal, Xiang Zhang, Suhang Wang
2025	J	`jnl`	A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers. CoRR Kaiqi Yang, Hang Li, Yucheng Chu, Ahreum Han, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
2025	B	`conf`	A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. EDM Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Yasemin Copur-Gencturk, Leonora Kaldaras, Kevin C. Haudek, Joseph Krajcik, Namsoo Shin, Hui Liu, Jiliang Tang
2025	J	`jnl`	A Practical Memory Injection Attack against LLM Agents. CoRR Shen Dong, Shaochen Xu, Pengfei He, Yige Li, Jiliang Tang, Tianming Liu, Hui Liu, Zhen Xiang
2025	—	`conf`	A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation. KDD (2) Yu Song, Zhigang Hua, Harry Shomer, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu
2025	J	`jnl`	A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation. CoRR Yu Song, Zhigang Hua, Harry Shomer, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu
2025	—	`conf`	A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. KDD (2) Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li
2025	J	`jnl`	A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. CoRR Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li
2025	—	`conf`	A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness. KDD (2) Fali Wang, Minhua Lin, Yao Ma, Hui Liu, Qi He, Xianfeng Tang, Jiliang Tang, Jian Pei, Suhang Wang
2025	J	`jnl`	AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. CoRR Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zheng Li, Xianfeng Tang, Qi He, Suhang Wang
2025	J	`jnl`	All You Need Are Random Visual Tokens? Demystifying Token Pruning in VLLMs. CoRR Yahong Wang, Juncheng Wu, Zhangkai Ni, Longzhen Yang, Yihang Liu, Chengmei Yang, Ying Wen, Xianfeng Tang, Hui Liu, Yuyin Zhou, Lianghua He
2025	—	`conf`	Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions. ACL (1) Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu
2025	A*	`conf`	Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. EMNLP Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Yi Chang
2025	J	`jnl`	Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. CoRR Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Yi Chang
2025	J	`jnl`	Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. CoRR Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Minhua Lin, Ramraj Chandradevan, Zheng Li, Chen Luo, Xianfeng Tang, Qi He, Suhang Wang
2025	A*	`conf`	Catastrophic Failure of LLM Unlearning via Quantization. ICLR Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
2025	J	`jnl`	Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS. CoRR Pengfei He, Yue Xing, Shen Dong, Juanhui Li, Zhenwei Dai, Xianfeng Tang, Hui Liu, Han Xu, Zhen Xiang, Charu C. Aggarwal
2025	J	`jnl`	Computational Protein Science in the Era of Large Language Models (LLMs). CoRR Wenqi Fan, Yi Zhou, Shijie Wang, Yuyao Yan, Hui Liu, Qian Zhao, Le Song, Qing Li
2025	J	`jnl`	Counterfactual Learning on Graphs: A Survey. Mach. Intell. Res. Zhimeng Guo, Zongyu Wu, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang
2025	—	`conf`	Data Poisoning for In-context Learning. NAACL (Findings) Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang
2025	—	`conf`	Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions? ACL (Findings) Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
2025	J	`jnl`	Does Multimodal Large Language Model Truly Unlearn? Stealthy MLLM Unlearning Attack. CoRR Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang
2025	—	`conf`	Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation. IJCNLP-AACL (long papers) Juanhui Li, Haoyu Han, Zhikai Chen, Harry Shomer, Wei Jin, Amin Javari, Hui Liu
2025	J	`jnl`	Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving. CoRR Hang Li, Kaiqi Yang, Yucheng Chu, Hui Liu, Jiliang Tang
2025	A	`conf`	GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning. CIKM Yu Song, Zhigang Hua, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu
2025	J	`jnl`	GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning. CoRR Yu Song, Zhigang Hua, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu
2025	J	`jnl`	Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph. CoRR Fali Wang, Jihai Chen, Shuhua Yang, Runxue Bao, Tianxiang Zhao, Zhiwei Zhang, Xianfeng Tang, Hui Liu, Qi He, Suhang Wang
2025	J	`jnl`	Graph Machine Learning in the Era of Large Language Models (LLMs). ACM Trans. Intell. Syst. Technol. Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Wenqi Fan, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
2025	J	`jnl`	Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems. CoRR Kaiqi Yang, Hang Li, Yucheng Chu, Zitao Liu, Mi Tian, Hui Liu
2025	J	`jnl`	Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. CoRR 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
2025	—	`conf`	Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs. EMNLP (Findings) Yunzhe Qi, Jinjin Tian, Tianci Liu, Ruirui Li, Tianxin Wei, Hui Liu, Xianfeng Tang, Monica Xiao Cheng, Jingrui He
2025	—	`conf`	Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. NAACL (Findings) Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2025	J	`jnl`	MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models. CoRR Xiao Lin, Zhining Liu, Ze Yang, Gaotang Li, Ruizhong Qiu, Shuke Wang, Hui Liu, Haotian Li, Sumit Keswani, Vishwa Pardeshi, Huijun Zhao, Wei Fan, Hanghang Tong
2025	J	`jnl`	MedVLSynther: Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs. CoRR Xiaoke Huang, Ningsen Wang, Hui Liu, Xianfeng Tang, Yuyin Zhou
2025	J	`jnl`	MedVLThinker: Simple Baselines for Multimodal Medical Reasoning. CoRR Xiaoke Huang, Juncheng Wu, Hui Liu, Xianfeng Tang, Yuyin Zhou
2025	A*	`conf`	Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing. ICML Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao
2025	J	`jnl`	RAG vs. GraphRAG: A Systematic Evaluation and Key Insights. CoRR Haoyu Han, Harry Shomer, Yu Wang, Yongjia Lei, Kai Guo, Zhigang Hua, Bo Long, Hui Liu, Jiliang Tang
2025	—	`conf`	Red-Teaming LLM Multi-Agent Systems via Communication Attacks. ACL (Findings) Pengfei He, Yuping Lin, Shen Dong, Han Xu, Yue Xing, Hui Liu
2025	J	`jnl`	Red-Teaming LLM Multi-Agent Systems via Communication Attacks. CoRR Pengfei He, Yupin Lin, Shen Dong, Han Xu, Yue Xing, Hui Liu
2025	—	`conf`	Rethinking Large Language Model Architectures for Sequential Recommendations. IJCNLP-AACL (long papers) Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Pratap Yadav, Fei Wang, Zhen Wen, Hui Liu
2025	J	`jnl`	SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models. CoRR Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie
2025	J	`jnl`	SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models. Trans. Mach. Learn. Res. Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie
2025	A*	`conf`	SUA: Stealthy Multimodal Large Language Model Unlearning Attack. EMNLP Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang
2025	J	`jnl`	Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs. CoRR Zhining Liu, Ziyi Chen, Hui Liu, Chen Luo, Xianfeng Tang, Suhang Wang, Joy Zeng, Zhenwei Dai, Zhan Shi, Tianxin Wei, Benoît Dumoulin, Hanghang Tong
2025	—	`conf`	SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. NAACL (Long Papers) Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2025	J	`jnl`	SoK: Machine Unlearning for Large Language Models. CoRR Jie Ren, Yue Xing, Yingqian Cui, Charu C. Aggarwal, Hui Liu
2025	A	`conf`	Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression. AISTATS Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing
2025	—	`conf`	The 2nd Workshop on Large Language Models for E-Commerce. KDD (2) Haoyu Han, Fali Wang, Chen Luo, Hui Liu, Jing Huang, Zhen Li, Zhenwei Dai, Qi He, Yiwei Sun, Dawei Yin, Suhang Wang, Jiliang Tang, Jian Pei, Xianfeng Tang
2025	—	`conf`	Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach. ACL (1) Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu
2025	J	`jnl`	Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach. CoRR Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu
2025	—	`conf`	Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. NAACL (Long Papers) Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang
2025	A*	`conf`	Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. ICLR Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2025	J	`jnl`	Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. CoRR Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2025	J	`jnl`	Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation. CoRR Zhiwei Zhang, Xiaomin Li, Yudi Lin, Hui Liu, Ramraj Chandradevan, Linlin Wu, Minhua Lin, Fali Wang, Xianfeng Tang, Qi He, Suhang Wang
2025	A*	`conf`	ViLBench: A Suite for Vision-Language Process Reward Modeling. EMNLP Haoqin Tu, Weitao Feng, Hardy Chen, Hui Liu, Xianfeng Tang, Cihang Xie
2025	J	`jnl`	ViLBench: A Suite for Vision-Language Process Reward Modeling. CoRR Haoqin Tu, Weitao Feng, Hardy Chen, Hui Liu, Xianfeng Tang, Cihang Xie
2025	J	`jnl`	m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models. CoRR Xiaoke Huang, Juncheng Wu, Hui Liu, Xianfeng Tang, Yuyin Zhou
2024	J	`jnl`	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. Mach. Intell. Res. Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang
2024	J	`jnl`	A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. CoRR Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk, Jiliang Tang
2024	—	`conf`	A Pure Transformer Pretraining Framework on Text-Attributed Graphs. LoG Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
2024	J	`jnl`	A Pure Transformer Pretraining Framework on Text-attributed Graphs. CoRR Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
2024	J	`jnl`	A Survey of Mamba. CoRR Haohao Qu, Liangbo Ning, Rui An, Wenqi Fan, Tyler Derr, Hui Liu, Xin Xu, Qing Li
2024	—	`conf`	Are Large Language Models (LLMs) Good Social Predictors? EMNLP (Findings) Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu
2024	J	`jnl`	Are Large Language Models (LLMs) Good Social Predictors? CoRR Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu
2024	J	`jnl`	Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions. CoRR Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu
2024	J	`jnl`	Content Knowledge Identification with Multi-Agent Large Language Models (LLMs). CoRR Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
2024	—	`conf`	Content Knowledge Identification with Multi-agent Large Language Models (LLMs). AIED (2) Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
2024	J	`jnl`	Copyright Protection in Generative AI: A Technical Perspective. CoRR Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang
2024	J	`jnl`	Data Poisoning for In-context Learning. CoRR Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang
2024	J	`jnl`	DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models. SIGKDD Explor. Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, Jiliang Tang
2024	J	`jnl`	Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions. CoRR Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
2024	J	`jnl`	Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge. CoRR Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
2024	J	`jnl`	Empowering Molecule Discovery for Molecule-Caption Translation With Large Language Models: A ChatGPT Perspective. IEEE Trans. Knowl. Data Eng. Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, Qing Li
2024	J	`jnl`	Exploring Social Desirability Response Bias in Large Language Models: Evidence from GPT-4 Simulations. CoRR Sanguk Lee, Kaiqi Yang, Tai-Quan Peng, Ruth Heo, Hui Liu
2024	J	`jnl`	FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. SIGKDD Explor. Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang
2024	J	`jnl`	Graph Machine Learning in the Era of Large Language Models (LLMs). CoRR Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
2024	A*	`conf`	Label-free Node Classification on Graphs with Large Language Models (LLMs). ICLR Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
2024	J	`jnl`	Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. CoRR Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2024	J	`jnl`	Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. CoRR Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
2024	A*	`conf`	Mixture of Link Predictors on Graphs. NeurIPS Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang
2024	J	`jnl`	Mixture of Link Predictors. CoRR Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang
2024	A	`conf`	Neural Style Protection: Counteracting Unauthorized Neural Style Transfer. WACV Yaxin Li, Jie Ren, Han Xu, Hui Liu
2024	—	`conf`	On the Generalization of Training-based ChatGPT Detection Methods. EMNLP (Findings) Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang
2024	J	`jnl`	Rethinking Large Language Model Architectures for Sequential Recommendations. CoRR Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu
2024	A*	`conf`	Sharpness-Aware Data Poisoning Attack. ICLR Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang
2024	J	`jnl`	Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models. CoRR Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024	A	`conf`	Spectral-Aware Augmentation for Enhanced Graph Representation Learning. CIKM Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu
2024	A*	`conf`	Structural Fairness-aware Active Learning for Graph Neural Networks. ICLR Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
2024	A*	`conf`	Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. NeurIPS Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
2024	J	`jnl`	Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. CoRR Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
2024	J	`jnl`	Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. CoRR Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang
2024	A*	`conf`	Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. EMNLP Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang
2024	J	`jnl`	Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. CoRR Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang
2024	J	`jnl`	Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study. CoRR Pengfei He, Yingqian Cui, Han Xu, Hui Liu, Makoto Yamada, Jiliang Tang, Yue Xing
2024	J	`jnl`	Unpacking Political Bias in Large Language Models: Insights Across Topic Polarization. CoRR Kaiqi Yang, Hang Li, Yucheng Chu, Yuping Lin, Tai-Quan Peng, Hui Liu
2023	A	`conf`	A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data. CIKM Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu
2023	J	`jnl`	Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. IEEE Trans. Knowl. Data Eng. Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang
2023	J	`jnl`	Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation. CoRR Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu
2023	J	`jnl`	Counterfactual Learning on Graphs: A Survey. CoRR Zhimeng Guo, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang
2023	J	`jnl`	DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models. CoRR Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang
2023	J	`jnl`	Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective. CoRR Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, Qing Li
2023	A*	`conf`	Enhancing Graph Representations Learning with Decorrelated Propagation. KDD Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu
2023	J	`jnl`	Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. CoRR Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
2023	J	`jnl`	Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. SIGKDD Explor. Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
2023	J	`jnl`	FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. CoRR Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang
2023	A*	`conf`	Generative Diffusion Models on Graphs: Methods and Applications. IJCAI Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
2023	J	`jnl`	Generative Diffusion Models on Graphs: Methods and Applications. CoRR Wenqi Fan, Chengyi Liu, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
2023	J	`jnl`	Label-free Node Classification on Graphs with Large Language Models (LLMS). CoRR Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
2023	B	`conf`	Learning Representations for Hyper-Relational Knowledge Graphs. ASONAM Harry Shomer, Wei Jin, Juanhui Li, Yao Ma, Hui Liu
2023	J	`jnl`	Learning fair models without sensitive attributes: A generative approach. Neurocomputing Huaisheng Zhu, Enyan Dai, Hui Liu, Suhang Wang
2023	J	`jnl`	On the Generalization of Training-based ChatGPT Detection Methods. CoRR Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang
2023	A*	`conf`	Probabilistic Categorical Adversarial Attack and Adversarial Training. ICML Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang
2023	J	`jnl`	Self-Explainable Graph Neural Networks for Link Prediction. CoRR Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang
2023	J	`jnl`	Sharpness-Aware Data Poisoning Attack. CoRR Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Hui Liu, Charu C. Aggarwal, Jiliang Tang
2023	A	`conf`	Single-Cell Multimodal Prediction via Transformers. CIKM Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang
2023	J	`jnl`	Single-Cell Multimodal Prediction via Transformers. CoRR Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang
2022	J	`jnl`	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. CoRR Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang
2022	B	`conf`	Enhancing Individual Fairness through Propensity Score Matching. DSAA Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu
2022	A*	`conf`	Multi-Type Urban Crime Prediction. AAAI Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang
2022	A	`conf`	PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. CIKM Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang
2022	A*	`conf`	Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. WWW Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng
2022	—	`conf`	Toward Annotator Group Bias in Crowdsourcing. ACL (1) Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang
2022	A	`conf`	Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. WSDM Enyan Dai, Wei Jin, Hui Liu, Suhang Wang
2022	J	`jnl`	Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. CoRR Enyan Dai, Wei Jin, Hui Liu, Suhang Wang
2021	A*	`conf`	Attacking Black-box Recommendations via Copying Cross-domain User Profiles. ICDE Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
2021	A*	`conf`	AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. WWW Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
2021	A*	`conf`	AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. ICDM Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang
2021	A*	`conf`	AutoLoss: Automated Loss Function Search in Recommendations. KDD Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
2021	J	`jnl`	AutoLoss: Automated Loss Function Search in Recommendations. CoRR Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
2021	A*	`conf`	DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems. AAAI Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu
2021	A*	`conf`	Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. KDD Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
2021	J	`jnl`	The Untold Secrets of WiFi-Calling Services: Vulnerabilities, Attacks, and Countermeasures. IEEE Trans. Mob. Comput. Tian Xie, Guan-Hua Tu, Bangjie Yin, Chi-Yu Li, Chunyi Peng, Mi Zhang, Hui Liu, Xiaoming Liu
2021	J	`jnl`	Toward Annotator Group Bias in Crowdsourcing. CoRR Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang
2021	A*	`conf`	UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2021	A	`conf`	Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. SDM Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
2020	J	`jnl`	Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. Int. J. Autom. Comput. Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain
2020	J	`jnl`	Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
2020	B	`conf`	Does Gender Matter? Towards Fairness in Dialogue Systems. COLING Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
2020	A*	`conf`	Learning Multi-Level Dependencies for Robust Word Recognition. AAAI Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
2020	A*	`conf`	Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Memory-efficient Embedding for Recommendations. CoRR Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
2020	—	`conf`	Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. EMNLP (1) Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. CoRR Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
2020	B	`conf`	Sequence Learning with Side Dependencies. DSAA Zhiwei Wang, Hui Liu, Gale Yan Huang, Zitao Liu
2020	A	`conf`	Whole-Chain Recommendations. CIKM Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2020	J	`jnl`	Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
2019	J	`jnl`	Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. CoRR Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain
2019	J	`jnl`	Does Gender Matter? Towards Fairness in Dialogue Systems. CoRR Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
2019	J	`jnl`	Learning Multi-level Dependencies for Robust Word Recognition. CoRR Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
2018	J	`jnl`	The Untold Secrets of Operational Wi-Fi Calling Services: Vulnerabilities, Attacks, and Countermeasures. CoRR Tian Xie, Guan-Hua Tu, Bangjie Yin, Chi-Yu Li, Chunyi Peng, Mi Zhang, Hui Liu, Xiaoming Liu