Hui Li

Orcid: 0000-0001-9139-3855

Affiliations:
  • Xiamen University, Department of Computer Science, School of Informatics, China
  • University of Hong Kong, Department of Computer Science, Hong Kong (PhD 2018)


According to our database1, Hui Li authored at least 48 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023
Effective and Efficient Route Planning Using Historical Trajectories on Road Networks.
Proc. VLDB Endow., 2023

Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models.
CoRR, 2023

Code Search Debiasing: Improve Search Results beyond Overall Ranking Performance.
CoRR, 2023

Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph.
CoRR, 2023

Practical Cross-system Shilling Attacks with Limited Access to Data.
CoRR, 2023

Self-supervised Graph Representation Learning for Black Market Account Detection.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Knowledge Prompt-tuning for Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

EALink: An Efficient and Accurate Pre-Trained Framework for Issue-Commit Link Recovery.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Single-User Injection for Invisible Shilling Attack against Recommender Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
SPEX: A Generic Framework for Enhancing Neural Social Recommendation.
ACM Trans. Inf. Syst., 2022

Fast and Secure Distributed Nonnegative Matrix Factorization.
IEEE Trans. Knowl. Data Eng., 2022

Multi-Task Learning for Recommendation Over Heterogeneous Information Network.
IEEE Trans. Knowl. Data Eng., 2022

Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles.
CoRR, 2022

Visual Encoding and Debiasing for CTR Prediction.
CoRR, 2022

Neutralizing Popularity Bias in Recommendation Models.
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.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Pretraining Representations of Multi-modal Multi-query E-commerce Search.
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.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Preserve Integrity in Realtime Event Summarization.
ACM Trans. Knowl. Discov. Data, 2021

Multi-view group representation learning for location-aware group recommendation.
Inf. Sci., 2021

News Popularity Prediction with Local-Global Long-Short-Term Embedding.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels.
Proceedings of the 17th International Symposium on Spatial and Temporal Databases, 2021

Mitigating Sentiment Bias for Recommender Systems.
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.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems.
IEEE Trans. Neural Networks Learn. Syst., 2020

Translation-Based Sequential Recommendation for Complex Users on Sparse Data.
IEEE Trans. Knowl. Data Eng., 2020

Drug target interaction prediction via multi-task co-attention.
Int. J. Data Min. Bioinform., 2020

TransRev: Modeling Reviews as Translations from Users to Items.
Proceedings of the Advances in Information Retrieval, 2020

DEAMER: A Deep Exposure-Aware Multimodal Content-Based Recommendation System.
Proceedings of the Database Systems for Advanced Applications, 2020

Attacking Recommender Systems with Augmented User Profiles.
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.
Data Min. Knowl. Discov., 2019

MMKG: Multi-modal Knowledge Graphs.
Proceedings of the Semantic Web - 16th International Conference, 2019

Modeling Sentiment Evolution for Social Incidents.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
LRMM: Learning to Recommend with Missing Modalities.
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.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Reverse k-Ranks Queries on Large Graphs.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2015
Overlapping Community Regularization for Rating Prediction in Social Recommender Systems.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014
A revisit to social network-based recommender systems.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014


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