Hui Li

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 47

Top Topics

Rating Prediction

Dirichlet Process Mixture

Recommender Systems

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li
Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Chenyuan Zhang, Hao Liu, Jiutian Zeng, Kejing Yang, Yuhong Li, Hui Li
Prompt-Enhanced Software Vulnerability Detection Using ChatGPT. ICSE Companion (2024)
Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, Hui Li
Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph. CoRR (2023)
Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi
Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract). ICDE (2023)
Chengzhi Huang, Hui Li
Single-User Injection for Invisible Shilling Attack against Recommender Systems. CIKM (2023)
Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring. ISSTA (2023)
Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji
EALink: An Efficient and Accurate Pre-Trained Framework for Issue-Commit Link Recovery. ASE (2023)
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
Knowledge Prompt-tuning for Sequential Recommendation. ACM Multimedia (2023)
Wei Tian, Jieming Shi, Siqiang Luo, Hui Li, Xike Xie, Yuanhang Zou
Effective and Efficient Route Planning Using Historical Trajectories on Road Networks. Proc. VLDB Endow. 16 (10) (2023)
Sheng Zhang, Hui Li
Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models. CoRR (2023)
Sheng Zhang, Hui Li, Yanlin Wang, Zhao Wei, Yong Xiu, Juhong Wang, Rongong Ji
Code Search Debiasing: Improve Search Results beyond Overall Ranking Performance. CoRR (2023)
Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, Hui Li
Practical Cross-system Shilling Attacks with Limited Access to Data. CoRR (2023)
Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi
Multi-Task Learning for Recommendation Over Heterogeneous Information Network. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Hui Li, Lianyun Li, Guipeng Xv, Chen Lin, Ke Li, Bingchuan Jiang
SPEX: A Generic Framework for Enhancing Neural Social Recommendation. ACM Trans. Inf. Syst. 40 (2) (2022)
Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis
Fast and Secure Distributed Nonnegative Matrix Factorization. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, Zhenhua Huang
Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. CIKM (2022)
Guipeng Xv, Chen Lin, Hui Li, Jinsong Su, Weiyao Ye, Yewang Chen
Neutralizing Popularity Bias in Recommendation Models. SIGIR (2022)
Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li, Rongxin Wu
Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting. ICPC (2021)
Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li, Rongxin Wu
Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting. CoRR (2021)
Shuai Fan, Chen Lin, Hui Li, Quan Zou
News Popularity Prediction with Local-Global Long-Short-Term Embedding. WISE (2) (2021)
Si Chen, Yuqiu Qian, Hui Li, Chen Lin
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels. SSTD (2021)
Yunsen Hong, Hui Li, Yanghua Xiao, Ryan McBride, Chen Lin
SILVER: Generating Persuasive Chinese Product Pitch. PAKDD (2) (2021)
Chen Lin, Xinyi Liu, Guipeng Xv, Hui Li
Mitigating Sentiment Bias for Recommender Systems. SIGIR (2021)
Si Chen, Yuqiu Qian, Hui Li, Chen Lin
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels. CoRR (2021)
Chen Lin, Zhichao Ouyang, Xiaoli Wang, Hui Li, Zhenhua Huang
Preserve Integrity in Realtime Event Summarization. ACM Trans. Knowl. Discov. Data 15 (3) (2021)
Hui Li, Ye Liu, Nikos Mamoulis, David S. Rosenblum
Translation-Based Sequential Recommendation for Complex Users on Sparse Data. IEEE Trans. Knowl. Data Eng. 32 (8) (2020)
Cheng Wang, Mathias Niepert, Hui Li
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang
Attacking Recommender Systems with Augmented User Profiles. CIKM (2020)
Yunsen Hong, Hui Li, Xiaoli Wang, Chen Lin
DEAMER: A Deep Exposure-Aware Multimodal Content-Based Recommendation System. DASFAA (3) (2020)
Alberto García-Durán, Roberto Gonzalez, Daniel Oñoro-Rubio, Mathias Niepert, Hui Li
TransRev: Modeling Reviews as Translations from Users to Items. ECIR (1) (2020)
Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang
Attacking Recommender Systems with Augmented User Profiles. CoRR (2020)
Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis
Fast and Secure Distributed Nonnegative Matrix Factorization. CoRR (2020)
Yuyou Weng, Xinyi Liu, Hui Li, Chen Lin, Yun Liang
Drug target interaction prediction via multi-task co-attention. Int. J. Data Min. Bioinform. 24 (2) (2020)
Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, David W. Cheung
HHMF: hidden hierarchical matrix factorization for recommender systems. Data Min. Knowl. Discov. 33 (6) (2019)
Cheng Wang, Mathias Niepert, Hui Li
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems. CoRR (2019)
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
MMKG: Multi-Modal Knowledge Graphs. CoRR (2019)
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
MMKG: Multi-modal Knowledge Graphs. ESWC (2019)
Yunjie Wang, Hui Li, Chen Lin
Modeling Sentiment Evolution for Social Incidents. CIKM (2019)
Yanjie Wang, Rainer Gemulla, Hui Li
On Multi-Relational Link Prediction With Bilinear Models. AAAI (2018)
Cheng Wang, Mathias Niepert, Hui Li
LRMM: Learning to Recommend with Missing Modalities. EMNLP (2018)
Cheng Wang, Mathias Niepert, Hui Li
LRMM: Learning to Recommend with Missing Modalities. CoRR (2018)
Alberto García-Durán, Roberto Gonzalez, Daniel Oñoro-Rubio, Mathias Niepert, Hui Li
TransRev: Modeling Reviews as Translations from Users to Items. CoRR (2018)
Ziyu Lu, Hui Li, Nikos Mamoulis, David W. Cheung
HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation. SDM (2017)
Hui Li, Tsz Nam Chan, Man Lung Yiu, Nikos Mamoulis
FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems. SIGMOD Conference (2017)
Yanjie Wang, Rainer Gemulla, Hui Li
On Multi-Relational Link Prediction with Bilinear Models. CoRR (2017)
Danhao Ding, Hui Li, Zhipeng Huang, Nikos Mamoulis
Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core. CIKM (2017)
Yuqiu Qian, Hui Li, Nikos Mamoulis, Yu Liu, David W. Cheung
Reverse k-Ranks Queries on Large Graphs. EDBT (2017)
Hui Li, Dingming Wu, Wenbin Tang, Nikos Mamoulis
Overlapping Community Regularization for Rating Prediction in Social Recommender Systems. RecSys (2015)
Hui Li, Dingming Wu, Nikos Mamoulis
A revisit to social network-based recommender systems. SIGIR (2014)