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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://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 — City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 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
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2020 – today
- 2023
[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 - [i20]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) - [i19]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) - [i18]Zhimeng Guo, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang:
Counterfactual Learning on Graphs: A Survey. CoRR abs/2304.01391 (2023) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - 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
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last updated on 2023-09-27 22:53 CEST by the dblp team
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