Hui Li

According to our database, Hui Li authored at least 51 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles.

Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Agents in Software Engineering: Survey, Landscape, and Vision.

Yanlin Wang, Wanjun Zhong, Yanxian Huang, Ensheng Shi, Min Yang, Jiachi Chen, Hui Li, Yuchi Ma, Qianxiang Wang, Zibin Zheng

CoRR, 2024

Prompt-Enhanced Software Vulnerability Detection Using ChatGPT.

Chenyuan Zhang, Hao Liu, Jiutian Zeng, Kejing Yang, Yuhong Li, Hui Li

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models.

Sheng Zhang, Hui Li, Rongrong Ji

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Crowdsourcing Fraud Detection Over Heterogeneous Temporal MMMA Graph.

Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, Hui Li

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Effective and Efficient Route Planning Using Historical Trajectories on Road Networks.

Wei Tian, Jieming Shi, Siqiang Luo, Hui Li, Xike Xie, Yuanhang Zou

Proc. VLDB Endow., 2023

Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models.

Sheng Zhang, Hui Li

CoRR, 2023

Code Search Debiasing: Improve Search Results beyond Overall Ranking Performance.

Sheng Zhang, Hui Li, Yanlin Wang, Zhao Wei, Yong Xiu, Juhong Wang, Rongong Ji

CoRR, 2023

Self-supervised Graph Representation Learning for Black Market Account Detection.

Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Knowledge Prompt-tuning for Sequential Recommendation.

Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian

Proceedings of the 31st ACM International Conference on Multimedia, 2023

EALink: An Efficient and Accurate Pre-Trained Framework for Issue-Commit Link Recovery.

Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring.

Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search.

Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Hongyu Zhang, Ziyu Lyu, Zibin Zheng

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract).

Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Single-User Injection for Invisible Shilling Attack against Recommender Systems.

Chengzhi Huang, Hui Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Practical Cross-System Shilling Attacks with Limited Access to Data.

Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, Hui Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

SPEX: A Generic Framework for Enhancing Neural Social Recommendation.

Hui Li, Lianyun Li, Guipeng Xv, Chen Lin, Ke Li, Bingchuan Jiang

ACM Trans. Inf. Syst., 2022

Fast and Secure Distributed Nonnegative Matrix Factorization.

Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis

IEEE Trans. Knowl. Data Eng., 2022

Multi-Task Learning for Recommendation Over Heterogeneous Information Network.

Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi

IEEE Trans. Knowl. Data Eng., 2022

Visual Encoding and Debiasing for CTR Prediction.

Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He Guo, Hui Li, Xubin Li, Jian Xu, Bo Zheng

CoRR, 2022

Neutralizing Popularity Bias in Recommendation Models.

Guipeng Xv, Chen Lin, Hui Li, Jinsong Su, Weiyao Ye, Yewang Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multi-view Heterogeneous Temporal Graph Neural Network for "Click Farming" Detection.

Zequan Xu, Qihang Sun, Shaofeng Hu, Jiguang Qiu, Chen Lin, Hui Li

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction.

Zequan Xu, Siqiang Luo, Jieming Shi, Hui Li, Chen Lin, Qihang Sun, Shaofeng Hu

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Pretraining Representations of Multi-modal Multi-query E-commerce Search.

Xinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, Bo Zheng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Adaptive Code Learning for Spark Configuration Tuning.

Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, Xuanhe Zhou, Guoliang Li

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation.

Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, Zhenhua Huang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Preserve Integrity in Realtime Event Summarization.

Chen Lin, Zhichao Ouyang, Xiaoli Wang, Hui Li, Zhenhua Huang

ACM Trans. Knowl. Discov. Data, 2021

Multi-view group representation learning for location-aware group recommendation.

Ziyu Lyu, Min Yang, Hui Li

Inf. Sci., 2021

News Popularity Prediction with Local-Global Long-Short-Term Embedding.

Shuai Fan, Chen Lin, Hui Li, Quan Zou

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels.

Si Chen, Yuqiu Qian, Hui Li, Chen Lin

Proceedings of the 17th International Symposium on Spatial and Temporal Databases, 2021

Mitigating Sentiment Bias for Recommender Systems.

Chen Lin, Xinyi Liu, Guipeng Xv, Hui Li

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

SILVER: Generating Persuasive Chinese Product Pitch.

Yunsen Hong, Hui Li, Yanghua Xiao, Ryan McBride, Chen Lin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting.

Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li, Rongxin Wu

Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs.

Yanlin Wang, Hui Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems.

Cheng Wang, Mathias Niepert, Hui Li

IEEE Trans. Neural Networks Learn. Syst., 2020

Translation-Based Sequential Recommendation for Complex Users on Sparse Data.

Hui Li, Ye Liu, Nikos Mamoulis, David S. Rosenblum

IEEE Trans. Knowl. Data Eng., 2020

Drug target interaction prediction via multi-task co-attention.

Yuyou Weng, Xinyi Liu, Hui Li, Chen Lin, Yun Liang

Int. J. Data Min. Bioinform., 2020

TransRev: Modeling Reviews as Translations from Users to Items.

Alberto García-Durán, Roberto Gonzalez, Daniel Oñoro-Rubio, Mathias Niepert, Hui Li

Proceedings of the Advances in Information Retrieval, 2020

DEAMER: A Deep Exposure-Aware Multimodal Content-Based Recommendation System.

Yunsen Hong, Hui Li, Xiaoli Wang, Chen Lin

Proceedings of the Database Systems for Advanced Applications, 2020

Attacking Recommender Systems with Augmented User Profiles.

Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

HHMF: hidden hierarchical matrix factorization for recommender systems.

Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, David W. Cheung

Data Min. Knowl. Discov., 2019

MMKG: Multi-modal Knowledge Graphs.

Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum

Proceedings of the Semantic Web - 16th International Conference, 2019

Modeling Sentiment Evolution for Social Incidents.

Yunjie Wang, Hui Li, Chen Lin

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

LRMM: Learning to Recommend with Missing Modalities.

Cheng Wang, Mathias Niepert, Hui Li

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

On Multi-Relational Link Prediction With Bilinear Models.

Yanjie Wang, Rainer Gemulla, Hui Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems.

Hui Li, Tsz Nam Chan, Man Lung Yiu, Nikos Mamoulis

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation.

Ziyu Lu, Hui Li, Nikos Mamoulis, David W. Cheung

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Reverse k-Ranks Queries on Large Graphs.

Yuqiu Qian, Hui Li, Nikos Mamoulis, Yu Liu, David W. Cheung

Proceedings of the 20th International Conference on Extending Database Technology, 2017

Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core.

Danhao Ding, Hui Li, Zhipeng Huang, Nikos Mamoulis

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2015

Overlapping Community Regularization for Rating Prediction in Social Recommender Systems.

Hui Li, Dingming Wu, Wenbin Tang, Nikos Mamoulis

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014

A revisit to social network-based recommender systems.

Hui Li, Dingming Wu, Nikos Mamoulis

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014