Hui Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 53

Top Topics

Attributed Graphs

Recommender Systems

Top Venues

Publications

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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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 (2024)
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)
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)
Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang
Sharpness-Aware Data Poisoning Attack. ICLR (2024)
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 (2024)
Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu
Are Large Language Models (LLMs) Good Social Predictors? CoRR (2024)
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 (2023)
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 (2023)
Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu
Enhancing Graph Representations Learning with Decorrelated Propagation. KDD (2023)
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 (2023)
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) (2023)
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 (2023)
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)
Huaisheng Zhu, Enyan Dai, Hui Liu, Suhang Wang
Learning fair models without sensitive attributes: A generative approach. Neurocomputing 561 (2023)
Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang
Single-Cell Multimodal Prediction via Transformers. CIKM (2023)
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) (2023)
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 (2023)
Harry Shomer, Wei Jin, Juanhui Li, Yao Ma, Hui Liu
Learning Representations for Hyper-Relational Knowledge Graphs. ASONAM (2023)
Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Hui Liu, Charu C. Aggarwal, Jiliang Tang
Sharpness-Aware Data Poisoning Attack. CoRR (2023)
Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation. CoRR (2023)
Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang
Multi-Type Urban Crime Prediction. AAAI (2022)
Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang
PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. CIKM (2022)
Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu
Enhancing Individual Fairness through Propensity Score Matching. DSAA (2022)
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)
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 (2022)
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)
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
AutoLoss: Automated Loss Function Search in Recommendations. KDD (2021)
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)
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)
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
AutoLoss: Automated Loss Function Search in Recommendations. CoRR (2021)
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)
Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. SDM (2021)
Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW (2021)
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)
Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
Memory-efficient Embedding for Recommendations. CoRR (2020)
Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR (2020)
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)
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 (2020)
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)
Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
Whole-Chain Recommendations. CIKM (2020)
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) (2020)
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 (2020)
Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
Does Gender Matter? Towards Fairness in Dialogue Systems. COLING (2020)
Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR (2020)
Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
Learning Multi-Level Dependencies for Robust Word Recognition. AAAI (2020)
Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
Does Gender Matter? Towards Fairness in Dialogue Systems. CoRR (2019)
Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
Learning Multi-level Dependencies for Robust Word Recognition. CoRR (2019)
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 (2019)