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ORCIDHui Liu 0031
Person information
- affiliation: Michigan State University, East Lansing, MI, USA
Other persons with the same name
- Hui Liu — disambiguation page
- Hui Liu 0001
![[0000-0002-5826-3271]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5826-3271")
— Beijing Institute of Technology, National Key Laboratory of Vehicular Transmission, China - Hui Liu 0002 — Shanghai University of International Business and Economics, School of Business, China (and 2 more)
- Hui Liu 0003 — Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Hui Liu 0004 — Huazhong University of Science and Technology, Key Laboratory of Image Processing and Intelligent Control of Education, Wuhan, China (and 2 more)
- Hui Liu 0005 — University of Calgary, Department of Chemical and Petroleum Engineering, AB, Canada
- Hui Liu 0006 — Xidian University, School of Software and Institute of Software Engineering, Xi'an, China
- Hui Liu 0007 — Dalian University of Technology, Department of Biomedical Engineering, China
- Hui Liu 0008 — Missouri State University, Springfield, MO, USA (and 1 more)
- Hui Liu 0009 — Washington University in Saint Louis, Radiology, MO, USA (and 1 more)
- Hui Liu 0010 — Jiangsu University, School of Electrical and Information Engineering, Zhenjiang, China
- Hui Liu 0011 — University of Washington, Department of Electrical Engineering, Seattle, WA, USA (and 3 more)
- Hui Liu 0012 — Northeastern University, School of Metallurgy, Shenyang, China
- Hui Liu 0013 — Jiangsu University, Automotive Engineering Research Institute, Zhenjiang, China
- Hui Liu 0014 — Guangxi University, College of Electrical Engineering, Nanning, China (and 4 more)
- Hui Liu 0015 — China Jiliang University, College of Quality and Safety Engineering, Hangzhou, China
- Hui Liu 0016 — Stanford University, Department of Radiation Oncology, Palo Alto, CA, USA (and 2 more)
- Hui Liu 0017 — PLA Information Engineering University, State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Hui Liu 0018 — Wuhan University, Key Laboratory of Aerospace Information Security and Trusted Computing, China
- Hui Liu 0019 — Katholieke Universiteit Leuven, Department of Electrical Engineering, Belgium
- Hui Liu 0020 — Xiamen University, School of Information Science and Engineering, China
- Hui Liu 0021 — University of Illinois at Urbana-Champaign, Center for Biophysics and Computational Biology, USA
- Hui Liu 0022 — Wuhan University, Department of Engineering Mechanics, School of Civil Engineering, China
- Hui Liu 0023 — Central South University, School of Traffic and Transportation Engineering, Hunan, China (and 1 more)
- Hui Liu 0024 — China University of Mining and Technology, School of Information and Electrical Engineering, Jiangsu, China
- Hui Liu 0025 — Shandong University of Science and Technology, College of Mining and Safety Engineering, Qingdao, China
- Hui Liu 0026 — Changzhou University, Lab of Information Management, Jiangsu, China (and 1 more)
- Hui Liu 0027 — Southern Methodist University, Department of Electrical Engineering, Dallas, TX, USA
- Hui Liu 0028 — Hubei University of Technology, Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Wuhan, China
- Hui Liu 0029 — Zhejiang University, National Engineering Research Center for Optical Instruments, Hangzhou, China (and 1 more)
- Hui Liu 0030 — Beijing University of Civil Engineering and Architecture, School of Electrical and Information Engineering, Beijing, China
- Hui Liu 0032 — Saint Francis University, Department of Computing and Information Sciences, Hong Kong (and 2 more)
- Hui Liu 0033 — Queen's University, Kingston, Canada (and 1 more)
- Hui Liu 0034 — Peking University, Wangxuan Institute of Computer Technology, MOE Key Laboratory of Computational Linguistics, Beijing, China
- Hui Liu 0035 — University of Bremen, Germany
- Hui Liu 0036 — City University of Hong Kong, Department of Electrical Engineering, Hong Kong
- Hui Liu 0037 — Zhejiang University, State Key Laboratory of Computer-aided Design and Computer Graphics, Hangzhou, China
- Hui Liu 0038 — Xi'an University of Posts and Telecommunications, School of Automation, Xi'an Key Laboratory of Advanced Control and Intelligent Process, China (and 1 more)
- Hui Liu 0039 — Dalian University of Technology, Kaifaqu Campus, Dalian Economic and Technological Development Zone, China (and 1 more)
- Hui Liu 0040 — Shandong University, Jinan, China
- Hui Liu 0041 — Nanjing University of Information Science and Technology, School of Remote Sensing and Geomatics Engineering, China (and 1 more)
- Hui Liu 0042 — University of Science and Technology Liaoning, School of Electrons and Information Engineering, Anshan, China
- Hui Liu 0043 — Dalian Medical University, College of Medical Laboratory, China
- Hui Liu 0044 — Hubei University of Economics, Research Center of Hubei Logistics Development, Wuhan, China (and 1 more)
- Hui Liu 0045 — Huazhong Agricultural University, College of Informatics, Hubei Key Laboratory of Agricultural Bioinformatics, Wuhan, China
- Hui Liu 0046 — Qilu University of Technology (Shandong Academy of Sciences), Shandong Artificial Intelligence Institute, School of Mathematics and Statistics, Jinan, China (and 1 more)
- Hui Liu 0047 — Jinling Institute of Technology, School of Software Engineering, Nanjing, China (and 1 more)
- Hui Liu 0048 — Central South University of Forestry and Technology, College of Computer and Mathematics, Changsha, China
- Hui Liu 0049 — Central South University, School of Business, Changsha, China (and 1 more)
- Hui Liu 0050 — North China University of Water Resources and Electric Power, Advanced Research Institute for Digital-Twin Water Conservancy, Zhengzhou, China (and 1 more)
- Hui Liu 0051 — Xinjiang Medical University, Institute of Medical Engineering Interdisciplinary Research, Urumqi, China (and 1 more)
- Hui Liu 0052 — National University of Defense Technology, National Key Lab of Parallel and Distributed Processing, Changsha, China
- Hui Liu 0053 — China Meteorological Administration, National Satellite Meteorological Center, Beijing, China
- Hui Liu 0054 — Jilin University, Department of Traffic Information and Control Engineering, Changchun, China
- Hui Liu 0055 — University of Electronic Science and Technology of China, China and Avic Chengdu Aircraft Design and Research Institute, China
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2020 – today
- 2025
[j12]Zhimeng Guo, Zongyu Wu, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang:
Counterfactual Learning on Graphs: A Survey. Mach. Intell. Res. 22(1): 17-59 (2025)- [j11]Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Wenqi Fan, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li:
Graph Machine Learning in the Era of Large Language Models (LLMs). ACM Trans. Intell. Syst. Technol. 16(5): 104:1-104:40 (2025) - [j10]Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie:
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models. Trans. Mach. Learn. Res. 2025 (2025) - [c60]Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu:
Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions. ACL (1) 2025: 1597-1609 - [c59]Pengfei He, Yuping Lin, Shen Dong, Han Xu, Yue Xing, Hui Liu:
Red-Teaming LLM Multi-Agent Systems via Communication Attacks. ACL (Findings) 2025: 6726-6747 - [c58]Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu:
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach. ACL (1) 2025: 10262-10276 - [c57]Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang:
Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions? ACL (Findings) 2025: 13783-13800 - [c56]Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing:
Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression. AISTATS 2025: 937-945 - [c55]Yu Song, Zhigang Hua, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu:
GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning. CIKM 2025: 2761-2770 - [c54]Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Yasemin Copur-Gencturk, Leonora Kaldaras, Kevin C. Haudek, Joseph Krajcik, Namsoo Shin, Hui Liu, Jiliang Tang:
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. EDM 2025 - [c53]Haoqin Tu, Weitao Feng, Hardy Chen, Hui Liu, Xianfeng Tang, Cihang Xie:
ViLBench: A Suite for Vision-Language Process Reward Modeling. EMNLP 2025: 6764-6779 - [c52]Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang:
SUA: Stealthy Multimodal Large Language Model Unlearning Attack. EMNLP 2025: 11230-11243 - [c51]Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Hui Liu, Yi Chang:
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. EMNLP 2025: 24789-24810 - [c50]Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Hui Liu, Yi Chang:
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. EMNLP 2025: 24789-24810 - [c49]Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao:
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. ICLR 2025 - [c48]Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang:
Catastrophic Failure of LLM Unlearning via Quantization. ICLR 2025 - [c47]Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao:
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing. ICML 2025 - [c46]Yu Song, Zhigang Hua, Harry Shomer, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu:
A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation. KDD (2) 2025: 2621-2632 - [c45]Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li:
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. KDD (2) 2025: 6140-6150 - [c44]Fali Wang, Minhua Lin, Yao Ma, Hui Liu, Qi He, Xianfeng Tang, Jiliang Tang, Jian Pei, Suhang Wang:
A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness. KDD (2) 2025: 6173-6183 - [c43]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:
The 2nd Workshop on Large Language Models for E-Commerce. KDD (2) 2025: 6278-6279 - [c42]Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang:
Data Poisoning for In-context Learning. NAACL (Findings) 2025: 1680-1700 - [c41]Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang:
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. NAACL (Findings) 2025: 2627-2641 - [c40]Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang:
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. NAACL (Long Papers) 2025: 2952-2969 - [c39]Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He:
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. NAACL (Long Papers) 2025: 11534-11550 - [i80]Wenqi Fan, Yi Zhou, Shijie Wang, Yuyao Yan, Hui Liu, Qian Zhao, Le Song, Qing Li:
Computational Protein Science in the Era of Large Language Models (LLMs). CoRR abs/2501.10282 (2025) - [i79]Haoyu Han, Harry Shomer, Yu Wang, Yongjia Lei, Kai Guo, Zhigang Hua, Bo Long, Hui Liu, Jiliang Tang:
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights. CoRR abs/2502.11371 (2025) - [i78]Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu:
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach. CoRR abs/2502.14100 (2025) - [i77]Pengfei He, Yupin Lin, Shen Dong, Han Xu, Yue Xing, Hui Liu:
Red-Teaming LLM Multi-Agent Systems via Communication Attacks. CoRR abs/2502.14847 (2025) - [i76]Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao:
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. CoRR abs/2503.00306 (2025) - [i75]Shen Dong, Shaochen Xu, Pengfei He, Yige Li, Jiliang Tang, Tianming Liu, Hui Liu, Zhen Xiang:
A Practical Memory Injection Attack against LLM Agents. CoRR abs/2503.03704 (2025) - [i74]Haoqin Tu, Weitao Feng, Hardy Chen, Hui Liu, Xianfeng Tang, Cihang Xie:
ViLBench: A Suite for Vision-Language Process Reward Modeling. CoRR abs/2503.20271 (2025) - [i73]Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li:
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. CoRR abs/2503.23350 (2025) - [i72]Xiaoke Huang, Juncheng Wu, Hui Liu, Xianfeng Tang, Yuyin Zhou:
m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models. CoRR abs/2504.00869 (2025) - [i71]Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie:
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models. CoRR abs/2504.11468 (2025) - [i70]Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Hui Liu, Yi Chang:
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. CoRR abs/2505.13957 (2025) - [i69]Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Hui Liu, Yi Chang:
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. CoRR abs/2505.13957 (2025) - [i68]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:
MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models. CoRR abs/2505.14728 (2025) - [i67]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:
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. CoRR abs/2506.00359 (2025) - [i66]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:
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. CoRR abs/2506.00359 (2025) - [i65]Pengfei He, Yue Xing, Shen Dong, Juanhui Li, Zhenwei Dai, Xianfeng Tang, Hui Liu, Han Xu, Zhen Xiang, Charu C. Aggarwal, Hui Liu:
Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS. CoRR abs/2506.01245 (2025) - [i64]Pengfei He, Yue Xing, Shen Dong, Juanhui Li, Zhenwei Dai, Xianfeng Tang, Hui Liu, Han Xu, Zhen Xiang, Charu C. Aggarwal, Hui Liu:
Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS. CoRR abs/2506.01245 (2025) - [i63]Jie Ren, Yue Xing, Yingqian Cui, Charu C. Aggarwal, Hui Liu:
SoK: Machine Unlearning for Large Language Models. CoRR abs/2506.09227 (2025) - [i62]Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang:
Does Multimodal Large Language Model Truly Unlearn? Stealthy MLLM Unlearning Attack. CoRR abs/2506.17265 (2025) - [i61]Kaiqi Yang, Hang Li, Yucheng Chu, Ahreum Han, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu:
A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers. CoRR abs/2507.05292 (2025) - [i60]Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zheng Li, Xianfeng Tang, Qi He, Suhang Wang:
AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. CoRR abs/2508.00890 (2025) - [i59]Xiaoke Huang, Juncheng Wu, Hui Liu, Xianfeng Tang, Yuyin Zhou:
MedVLThinker: Simple Baselines for Multimodal Medical Reasoning. CoRR abs/2508.02669 (2025) - [i58]Yu Song, Zhigang Hua, Harry Shomer, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu:
A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation. CoRR abs/2508.04645 (2025) - [i57]Yu Song, Zhigang Hua, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu:
GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning. CoRR abs/2509.06975 (2025) - [i56]Hang Li, Kaiqi Yang, Yucheng Chu, Hui Liu, Jiliang Tang:
Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving. CoRR abs/2509.22480 (2025) - [i55]Kaiqi Yang, Hang Li, Yucheng Chu, Zitao Liu, Mi Tian, Hui Liu:
Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems. CoRR abs/2510.08615 (2025) - [i54]Minhua Lin, Zongyu Wu, Zhichao Xu, Hui Liu, Xianfeng Tang, Qi He, Charu C. Aggarwal, Hui Liu, Xiang Zhang, Suhang Wang:
A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications. CoRR abs/2510.16724 (2025) - [i53]Minhua Lin, Zongyu Wu, Zhichao Xu, Hui Liu, Xianfeng Tang, Qi He, Charu C. Aggarwal, Hui Liu, Xiang Zhang, Suhang Wang:
A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications. CoRR abs/2510.16724 (2025) - [i52]Zhining Liu, Ziyi Chen, Hui Liu, Chen Luo, Xianfeng Tang, Suhang Wang, Joy Zeng, Zhenwei Dai, Zhan Shi, Tianxin Wei, Benoît Dumoulin, Hanghang Tong:
Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs. CoRR abs/2510.17771 (2025) - [i51]Xiaoke Huang, Ningsen Wang, Hui Liu, Xianfeng Tang, Yuyin Zhou:
MedVLSynther: Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs. CoRR abs/2510.25867 (2025) - [i50]Fali Wang, Jihai Chen, Shuhua Yang, Runxue Bao, Tianxiang Zhao, Zhiwei Zhang, Xianfeng Tang, Hui Liu, Qi He, Suhang Wang:
Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph. CoRR abs/2511.00086 (2025) - [i49]Zhiwei Zhang, Xiaomin Li, Yudi Lin, Hui Liu, Ramraj Chandradevan, Linlin Wu, Minhua Lin, Fali Wang, Xianfeng Tang, Qi He, Suhang Wang:
Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation. CoRR abs/2511.02303 (2025) - [i48]Yahong Wang, Juncheng Wu, Zhangkai Ni, Longzhen Yang, Yihang Liu, Chengmei Yang, Ying Wen, Xianfeng Tang, Hui Liu, Yuyin Zhou, Lianghua He:
All You Need Are Random Visual Tokens? Demystifying Token Pruning in VLLMs. CoRR abs/2512.07580 (2025) - 2024
- [j9]Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang:
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. Mach. Intell. Res. 21(6): 1011-1061 (2024) - [j8]Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, Jiliang Tang:
DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models. SIGKDD Explor. 26(2): 60-75 (2024) - [j7]Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang:
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. SIGKDD Explor. 26(2): 76-88 (2024) - [j6]Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, Qing Li:
Empowering Molecule Discovery for Molecule-Caption Translation With Large Language Models: A ChatGPT Perspective. IEEE Trans. Knowl. Data Eng. 36(11): 6071-6083 (2024) - [c38]Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu:
Content Knowledge Identification with Multi-agent Large Language Models (LLMs). AIED (2) 2024: 284-292 - [c37]Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu:
Spectral-Aware Augmentation for Enhanced Graph Representation Learning. CIKM 2024: 2837-2847 - [c36]Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu:
Are Large Language Models (LLMs) Good Social Predictors? EMNLP (Findings) 2024: 2718-2730 - [c35]Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang:
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. EMNLP 2024: 7067-7085 - [c34]Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang:
On the Generalization of Training-based ChatGPT Detection Methods. EMNLP (Findings) 2024: 7223-7243 - [c33]Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang:
Label-free Node Classification on Graphs with Large Language Models (LLMs). ICLR 2024 - [c32]Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada:
Structural Fairness-aware Active Learning for Graph Neural Networks. ICLR 2024 - [c31]Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang:
Sharpness-Aware Data Poisoning Attack. ICLR 2024 - [c30]Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu:
A Pure Transformer Pretraining Framework on Text-Attributed Graphs. LoG 2024: 24 - [c29]Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang:
Mixture of Link Predictors on Graphs. NeurIPS 2024 - [c28]Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang:
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. NeurIPS 2024 - [c27]Yaxin Li, Jie Ren, Han Xu, Hui Liu:
Neural Style Protection: Counteracting Unauthorized Neural Style Transfer. WACV 2024: 3954-3963 - [i47]Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang:
Data Poisoning for In-context Learning. CoRR abs/2402.02160 (2024) - [i46]Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang:
Copyright Protection in Generative AI: A Technical Perspective. CoRR abs/2402.02333 (2024) - [i45]Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang:
Mixture of Link Predictors. CoRR abs/2402.08583 (2024) - [i44]Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu:
Rethinking Large Language Model Architectures for Sequential Recommendations. CoRR abs/2402.09543 (2024) - [i43]Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu:
Are Large Language Models (LLMs) Good Social Predictors? CoRR abs/2402.12620 (2024) - [i42]Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu:
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs). CoRR abs/2404.07960 (2024) - [i41]Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li:
Graph Machine Learning in the Era of Large Language Models (LLMs). CoRR abs/2404.14928 (2024) - [i40]Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang:
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. CoRR abs/2406.10727 (2024) - [i39]Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang:
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. CoRR abs/2406.10794 (2024) - [i38]Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu:
A Pure Transformer Pretraining Framework on Text-attributed Graphs. CoRR abs/2406.13873 (2024) - [i37]Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang:
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. CoRR abs/2406.14773 (2024) - [i36]Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu:
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models. CoRR abs/2406.14855 (2024) - [i35]Haohao Qu, Liangbo Ning, Rui An, Wenqi Fan, Tyler Derr, Hui Liu, Xin Xu, Qing Li:
A Survey of Mamba. CoRR abs/2408.01129 (2024) - [i34]Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk, Jiliang Tang:
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. CoRR abs/2410.02165 (2024) - [i33]Pengfei He, Yingqian Cui, Han Xu, Hui Liu, Makoto Yamada, Jiliang Tang, Yue Xing:
Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study. CoRR abs/2410.09411 (2024) - [i32]Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang:
Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions. CoRR abs/2410.12207 (2024) - [i31]Sanguk Lee, Kaiqi Yang, Tai-Quan Peng, Ruth Heo, Hui Liu:
Exploring Social Desirability Response Bias in Large Language Models: Evidence from GPT-4 Simulations. CoRR abs/2410.15442 (2024) - [i30]Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang:
Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge. CoRR abs/2410.16454 (2024) - [i29]Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang:
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. CoRR abs/2411.08028 (2024) - [i28]Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang:
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. CoRR abs/2411.14572 (2024) - [i27]Kaiqi Yang, Hang Li, Yucheng Chu, Yuping Lin, Tai-Quan Peng, Hui Liu:
Unpacking Political Bias in Large Language Models: Insights Across Topic Polarization. CoRR abs/2412.16746 (2024) - [i26]Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu:
Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions. CoRR abs/2412.16838 (2024) - 2023
- [j5]Huaisheng Zhu, Enyan Dai, Hui Liu, Suhang Wang:
Learning fair models without sensitive attributes: A generative approach. Neurocomputing 561: 126841 (2023) - [j4]Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang:
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. SIGKDD Explor. 25(2): 42-61 (2023) - [j3]Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang:
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. IEEE Trans. Knowl. Data Eng. 35(12): 12415-12429 (2023) - [c26]Harry Shomer, Wei Jin, Juanhui Li, Yao Ma, Hui Liu:
Learning Representations for Hyper-Relational Knowledge Graphs. ASONAM 2023: 253-257 - [c25]Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang:
Single-Cell Multimodal Prediction via Transformers. CIKM 2023: 2422-2431 - [c24]Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu:
A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data. CIKM 2023: 2637-2645 - [c23]Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang:
Probabilistic Categorical Adversarial Attack and Adversarial Training. ICML 2023: 38428-38442 - [c22]Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li:
Generative Diffusion Models on Graphs: Methods and Applications. IJCAI 2023: 6702-6711 - [c21]Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu:
Enhancing Graph Representations Learning with Decorrelated Propagation. KDD 2023: 1466-1476 - [i25]Wenqi Fan, Chengyi Liu, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li:
Generative Diffusion Models on Graphs: Methods and Applications. CoRR abs/2302.02591 (2023) - [i24]Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang:
Single-Cell Multimodal Prediction via Transformers. CoRR abs/2303.00233 (2023) - [i23]Zhimeng Guo, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang:
Counterfactual Learning on Graphs: A Survey. CoRR abs/2304.01391 (2023) - [i22]Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang:
Self-Explainable Graph Neural Networks for Link Prediction. CoRR abs/2305.12578 (2023) - [i21]Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Hui Liu, Charu C. Aggarwal, Jiliang Tang:
Sharpness-Aware Data Poisoning Attack. CoRR abs/2305.14851 (2023) - [i20]Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang:
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models. CoRR abs/2306.04642 (2023) - [i19]Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, Qing Li:
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective. CoRR abs/2306.06615 (2023) - [i18]Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang:
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. CoRR abs/2307.03393 (2023) - [i17]Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang:
On the Generalization of Training-based ChatGPT Detection Methods. CoRR abs/2310.01307 (2023) - [i16]Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang:
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. CoRR abs/2310.02401 (2023) - [i15]Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang:
Label-free Node Classification on Graphs with Large Language Models (LLMS). CoRR abs/2310.04668 (2023) - [i14]Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu:
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation. CoRR abs/2310.13845 (2023) - 2022
- [c20]Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang:
Multi-Type Urban Crime Prediction. AAAI 2022: 4388-4396 - [c19]Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang:
Toward Annotator Group Bias in Crowdsourcing. ACL (1) 2022: 1797-1806 - [c18]Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang:
PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. CIKM 2022: 3152-3161 - [c17]Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu:
Enhancing Individual Fairness through Propensity Score Matching. DSAA 2022: 1-10 - [c16]Enyan Dai, Wei Jin, Hui Liu, Suhang Wang:
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. WSDM 2022: 181-191 - [c15]Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng:
Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. WWW 2022: 2048-2057 - [i13]Enyan Dai, Wei Jin, Hui Liu, Suhang Wang:
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. CoRR abs/2201.00232 (2022) - [i12]Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang:
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. CoRR abs/2204.08570 (2022) - 2021
- [j2]Tian Xie, Guan-Hua Tu, Bangjie Yin, Chi-Yu Li, Chunyi Peng, Mi Zhang, Hui Liu, Xiaoming Liu:
The Untold Secrets of WiFi-Calling Services: Vulnerabilities, Attacks, and Countermeasures. IEEE Trans. Mob. Comput. 20(11): 3131-3147 (2021) - [c14]Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu:
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems. AAAI 2021: 750-758 - [c13]Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li:
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. ICDE 2021: 1583-1594 - [c12]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang:
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. ICDM 2021: 896-905 - [c11]Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang:
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. KDD 2021: 3726-3734 - [c10]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang:
AutoLoss: Automated Loss Function Search in Recommendations. KDD 2021: 3959-3967 - [c9]Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang:
Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. SDM 2021: 540-548 - [c8]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. WWW 2021: 3015-3022 - [c7]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW 2021: 3582-3589 - [i11]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang:
AutoLoss: Automated Loss Function Search in Recommendations. CoRR abs/2106.06713 (2021) - [i10]Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang:
Toward Annotator Group Bias in Crowdsourcing. CoRR abs/2110.08038 (2021) - 2020
- [j1]Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain:
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. Int. J. Autom. Comput. 17(2): 151-178 (2020) - [c6]Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Multi-Level Dependencies for Robust Word Recognition. AAAI 2020: 9250-9257 - [c5]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
Whole-Chain Recommendations. CIKM 2020: 1883-1891 - [c4]Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang:
Does Gender Matter? Towards Fairness in Dialogue Systems. COLING 2020: 4403-4416 - [c3]Zhiwei Wang, Hui Liu, Gale Yan Huang, Zitao Liu:
Sequence Learning with Side Dependencies. DSAA 2020: 128-137 - [c2]Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. EMNLP (1) 2020: 893-903 - [c1]Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM 2020: 1316-1321 - [i9]Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li:
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR abs/2005.08147 (2020) - [i8]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
Memory-efficient Embedding for Recommendations. CoRR abs/2006.14827 (2020) - [i7]Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang:
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. CoRR abs/2008.13361 (2020) - [i6]Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang:
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR abs/2009.01672 (2020) - [i5]Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR abs/2009.13028 (2020)
2010 – 2019
- 2019
- [i4]Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain:
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. CoRR abs/1909.08072 (2019) - [i3]Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang:
Does Gender Matter? Towards Fairness in Dialogue Systems. CoRR abs/1910.10486 (2019) - [i2]Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Multi-level Dependencies for Robust Word Recognition. CoRR abs/1911.09789 (2019) - 2018
- [i1]Tian Xie, Guan-Hua Tu, Bangjie Yin, Chi-Yu Li, Chunyi Peng, Mi Zhang, Hui Liu, Xiaoming Liu:
The Untold Secrets of Operational Wi-Fi Calling Services: Vulnerabilities, Attacks, and Countermeasures. CoRR abs/1811.11274 (2018)
Coauthor Index
[c56] [c54] [c44] [c43] [c42] [c41] [c40] [i79] [i75] [i61] [i56] [j9] [j8] [j7] [j6] [c38] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [i47] [i46] [i45] [i44] [i43] [i42] [i40] [i39] [i38] [i37] [i36] [i34] [i33] [i29] [i28] [j4] [j3] [c25] [c23] [c22] [i25] [i24] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [c20] [c19] [c18] [c15] [i12] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i11] [i10] [j1] [c6] [c5] [c4] [c2] [c1] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2]
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