Hui Li

82 papers A* 13A 13B 5Journal 42Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
FlowPIE: Test-Time Scientific Idea Evolution with Flow-Guided Literature Exploration.
CoRR
Qiyao Wang, Hongbo Wang, Longze Chen, Zhihao Yang, Guhong Chen, Hamid Alinejad-Rokny, Hui Li, Yuan Lin, Min Yang
2026 A conf
Hybrid Dual-Semantics Modeling for Enhancing Large Language Model Based Recommendation.
WSDM
Canyi Liu, Tianyi Li, Wei Li, Youchen Zhang, Xiaodong Li, Hui Li
2025 J jnl
Agents in software engineering: survey, landscape, and vision.
Autom. Softw. Eng.
Yanlin Wang, Wanjun Zhong, Yanxian Huang, Ensheng Shi, Min Yang, Jiachi Chen, Hui Li, Yuchi Ma, Qianxiang Wang, Zibin Zheng
2025 J jnl
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning.
ACM Trans. Knowl. Discov. Data
Jiadong Feng, Wei Li, Suhuang Wu, Zhao Wei, Yong Xu, Juhong Wang, Hui Li
2025 B conf
Learning Transition Patterns by Large Language Models for Sequential Recommendation.
COLING
Jianyang Zhai, Zi-Feng Mai, Dongyi Zheng, Chang-Dong Wang, Xiawu Zheng, Hui Li, Feidiao Yang, Yonghong Tian
2025 J jnl
MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples.
ACM Trans. Multim. Comput. Commun. Appl.
Tao Chen, Enwei Zhang, Yuting Gao, Ke Li, Xing Sun, Yan Zhang, Hui Li, Rongrong Ji
2025 A* conf
Multimodal Quantitative Language for Generative Recommendation.
ICLR
Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian
2025 J jnl
Multimodal Quantitative Language for Generative Recommendation.
CoRR
Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian
2025 A conf
SC-DAG: Semantic-Constrained Diffusion Attacks for Stealthy Exposure Manipulation in Visually-Aware Recommender Systems.
CIKM
Ze Lin, Yuqiu Qian, Xiaodong Li, Ziyu Lyu, Hui Li
2025 J jnl
UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding.
CoRR
Shuquan Lian, Yuhang Wu, Jia Ma, Zihan Song, Bingqi Chen, Xiawu Zheng, Hui Li
2024 J jnl
Agents in Software Engineering: Survey, Landscape, and Vision.
CoRR
Yanlin Wang, Wanjun Zhong, Yanxian Huang, Ensheng Shi, Min Yang, Jiachi Chen, Hui Li, Yuchi Ma, Qianxiang Wang, Zibin Zheng
2024 — conf
Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models.
EMNLP (Findings)
Sheng Zhang, Hui Li, Rongrong Ji
2024 — conf
Crowdsourcing Fraud Detection Over Heterogeneous Temporal MMMA Graph.
DASFAA (7)
Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, Hui Li
2024 J jnl
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning.
CoRR
Jiadong Feng, Wei Li, Zhao Wei, Yong Xu, Juhong Wang, Hui Li
2024 — conf
Prompt-Enhanced Software Vulnerability Detection Using ChatGPT.
ICSE Companion
Chenyuan Zhang, Hao Liu, Jiutian Zeng, Kejing Yang, Yuhong Li, Hui Li
2024 J jnl
Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles.
IEEE Trans. Neural Networks Learn. Syst.
Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li
2024 J jnl
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search.
CoRR
Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Hongyu Zhang, Ziyu Lyu, Zibin Zheng
2023 J jnl
Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models.
CoRR
Sheng Zhang, Hui Li
2023 J jnl
Code Search Debiasing: Improve Search Results beyond Overall Ranking Performance.
CoRR
Sheng Zhang, Hui Li, Yanlin Wang, Zhao Wei, Yong Xiu, Juhong Wang, Rongong Ji
2023 J jnl
Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph.
CoRR
Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, Hui Li
2023 A* conf
EALink: An Efficient and Accurate Pre-Trained Framework for Issue-Commit Link Recovery.
ASE
Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji
2023 J jnl
EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery.
CoRR
Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji
2023 J jnl
Effective and Efficient Route Planning Using Historical Trajectories on Road Networks.
Proc. VLDB Endow.
Wei Tian, Jieming Shi, Siqiang Luo, Hui Li, Xike Xie, Yuanhang Zou
2023 A* conf
Knowledge Prompt-tuning for Sequential Recommendation.
ACM Multimedia
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
2023 J jnl
Knowledge Prompt-tuning for Sequential Recommendation.
CoRR
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
2023 A* conf
Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract).
ICDE
Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi
2023 A* conf
Practical Cross-System Shilling Attacks with Limited Access to Data.
AAAI
Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, Hui Li
2023 J jnl
Practical Cross-system Shilling Attacks with Limited Access to Data.
CoRR
Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, Hui Li
2023 J jnl
Prompt-Enhanced Software Vulnerability Detection Using ChatGPT.
CoRR
Chenyuan Zhang, Hao Liu, Jiutian Zeng, Kejing Yang, Yuhong Li, Hui Li
2023 A conf
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring.
ISSTA
Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji
2023 J jnl
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring.
CoRR
Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji
2023 A conf
Self-supervised Graph Representation Learning for Black Market Account Detection.
WSDM
Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji
2023 A conf
Single-User Injection for Invisible Shilling Attack against Recommender Systems.
CIKM
Chengzhi Huang, Hui Li
2023 J jnl
Single-User Injection for Invisible Shilling Attack against Recommender Systems.
CoRR
Chengzhi Huang, Hui Li
2023 A conf
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search.
ICSME
Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Hongyu Zhang, Ziyu Lyu, Zibin Zheng
2022 A* conf
Adaptive Code Learning for Spark Configuration Tuning.
ICDE
Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, Xuanhe Zhou, Guoliang Li
2022 B conf
Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction.
MDM
Zequan Xu, Siqiang Luo, Jieming Shi, Hui Li, Chen Lin, Qihang Sun, Shaofeng Hu
2022 J jnl
Fast and Secure Distributed Nonnegative Matrix Factorization.
IEEE Trans. Knowl. Data Eng.
Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis
2022 A conf
Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation.
CIKM
Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, Zhenhua Huang
2022 J jnl
Multi-Task Learning for Recommendation Over Heterogeneous Information Network.
IEEE Trans. Knowl. Data Eng.
Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi
2022 — conf
Multi-view Heterogeneous Temporal Graph Neural Network for "Click Farming" Detection.
PRICAI (1)
Zequan Xu, Qihang Sun, Shaofeng Hu, Jiguang Qiu, Chen Lin, Hui Li
2022 A* conf
Neutralizing Popularity Bias in Recommendation Models.
SIGIR
Guipeng Xv, Chen Lin, Hui Li, Jinsong Su, Weiyao Ye, Yewang Chen
2022 A* conf
Pretraining Representations of Multi-modal Multi-query E-commerce Search.
KDD
Xinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, Bo Zheng
2022 J jnl
SPEX: A Generic Framework for Enhancing Neural Social Recommendation.
ACM Trans. Inf. Syst.
Hui Li, Lianyun Li, Guipeng Xv, Chen Lin, Ke Li, Bingchuan Jiang
2022 J jnl
Self-supervised Graph Representation Learning for Black Market Account Detection.
CoRR
Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji
2022 J jnl
Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles.
CoRR
Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li
2022 J jnl
Visual Encoding and Debiasing for CTR Prediction.
CoRR
Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He Guo, Hui Li, Xubin Li, Jian Xu, Bo Zheng
2021 A* conf
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs.
AAAI
Yanlin Wang, Hui Li
2021 J jnl
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs.
CoRR
Yanlin Wang, Hui Li
2021 A conf
Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting.
ICPC
Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li, Rongxin Wu
2021 J jnl
Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting.
CoRR
Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li, Rongxin Wu
2021 A* conf
Mitigating Sentiment Bias for Recommender Systems.
SIGIR
Chen Lin, Xinyi Liu, Guipeng Xv, Hui Li
2021 J jnl
Multi-view group representation learning for location-aware group recommendation.
Inf. Sci.
Ziyu Lyu, Min Yang, Hui Li
2021 — conf
News Popularity Prediction with Local-Global Long-Short-Term Embedding.
WISE (2)
Shuai Fan, Chen Lin, Hui Li, Quan Zou
2021 J jnl
Preserve Integrity in Realtime Event Summarization.
ACM Trans. Knowl. Discov. Data
Chen Lin, Zhichao Ouyang, Xiaoli Wang, Hui Li, Zhenhua Huang
2021 — conf
SILVER: Generating Persuasive Chinese Product Pitch.
PAKDD (2)
Yunsen Hong, Hui Li, Yanghua Xiao, Ryan McBride, Chen Lin
2021 B conf
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels.
SSTD
Si Chen, Yuqiu Qian, Hui Li, Chen Lin
2021 J jnl
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels.
CoRR
Si Chen, Yuqiu Qian, Hui Li, Chen Lin
2020 A conf
Attacking Recommender Systems with Augmented User Profiles.
CIKM
Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang
2020 J jnl
Attacking Recommender Systems with Augmented User Profiles.
CoRR
Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang
2020 — conf
DEAMER: A Deep Exposure-Aware Multimodal Content-Based Recommendation System.
DASFAA (3)
Yunsen Hong, Hui Li, Xiaoli Wang, Chen Lin
2020 J jnl
Drug target interaction prediction via multi-task co-attention.
Int. J. Data Min. Bioinform.
Yuyou Weng, Xinyi Liu, Hui Li, Chen Lin, Yun Liang
2020 J jnl
Fast and Secure Distributed Nonnegative Matrix Factorization.
CoRR
Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis
2020 J jnl
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems.
IEEE Trans. Neural Networks Learn. Syst.
Cheng Wang, Mathias Niepert, Hui Li
2020 — conf
TransRev: Modeling Reviews as Translations from Users to Items.
ECIR (1)
Alberto García-Durán, Roberto Gonzalez, Daniel Oñoro-Rubio, Mathias Niepert, Hui Li
2020 J jnl
Translation-Based Sequential Recommendation for Complex Users on Sparse Data.
IEEE Trans. Knowl. Data Eng.
Hui Li, Ye Liu, Nikos Mamoulis, David S. Rosenblum
2019 J jnl
HHMF: hidden hierarchical matrix factorization for recommender systems.
Data Min. Knowl. Discov.
Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, David W. Cheung
2019 J jnl
MMKG: Multi-Modal Knowledge Graphs.
CoRR
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
2019 B conf
MMKG: Multi-modal Knowledge Graphs.
ESWC
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
2019 A conf
Modeling Sentiment Evolution for Social Incidents.
CIKM
Yunjie Wang, Hui Li, Chen Lin
2019 J jnl
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems.
CoRR
Cheng Wang, Mathias Niepert, Hui Li
2018 A* conf
LRMM: Learning to Recommend with Missing Modalities.
EMNLP
Cheng Wang, Mathias Niepert, Hui Li
2018 J jnl
LRMM: Learning to Recommend with Missing Modalities.
CoRR
Cheng Wang, Mathias Niepert, Hui Li
2018 A* conf
On Multi-Relational Link Prediction With Bilinear Models.
AAAI
Yanjie Wang, Rainer Gemulla, Hui Li
2018 J jnl
TransRev: Modeling Reviews as Translations from Users to Items.
CoRR
Alberto García-Durán, Roberto Gonzalez, Daniel Oñoro-Rubio, Mathias Niepert, Hui Li
2017 A conf
Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core.
CIKM
Danhao Ding, Hui Li, Zhipeng Huang, Nikos Mamoulis
2017 — conf
FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems.
SIGMOD Conference
Hui Li, Tsz Nam Chan, Man Lung Yiu, Nikos Mamoulis
2017 A conf
HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation.
SDM
Ziyu Lu, Hui Li, Nikos Mamoulis, David W. Cheung
2017 J jnl
On Multi-Relational Link Prediction with Bilinear Models.
CoRR
Yanjie Wang, Rainer Gemulla, Hui Li
2017 B conf
Reverse k-Ranks Queries on Large Graphs.
EDBT
Yuqiu Qian, Hui Li, Nikos Mamoulis, Yu Liu, David W. Cheung
2015 A conf
Overlapping Community Regularization for Rating Prediction in Social Recommender Systems.
RecSys
Hui Li, Dingming Wu, Wenbin Tang, Nikos Mamoulis
2014 A* conf
A revisit to social network-based recommender systems.
SIGIR
Hui Li, Dingming Wu, Nikos Mamoulis