default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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://dblp.dagstuhl.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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j10]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)- [c41]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 - [c40]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 - [c39]Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang:
Data Poisoning for In-context Learning. NAACL (Findings) 2025: 1680-1700 - [c38]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 - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]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) - 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) - [c37]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 - [c36]Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu:
Spectral-Aware Augmentation for Enhanced Graph Representation Learning. CIKM 2024: 2837-2847 - [c35]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 - [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang:
Sharpness-Aware Data Poisoning Attack. ICLR 2024 - [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
[c39] [c38] [i54] [i50] [j9] [j8] [j7] [j6] [c37] [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]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-19 21:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
