Vague Preference Policy Learning for Conversational Recommendation
- Gangyi Zhang
- Chongming Gao
- et al.
- 2025
- ACM TOIS
Paper
Publications
46 results for Lingfei Wu
Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis
- Hongru Yang
- Yingbin Liang
- et al.
- 2025
- JMLR
PaperBridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
- Zhiqian Chen
- Fanglan Chen
- et al.
- 2023
- ACM Computing Surveys
PaperDeep Learning on Graphs: Methods and Applications (DLG-KDD2023)
- Lingfei Wu
- Jian Pei
- et al.
- 2023
- KDD 2023
WorkshopUser Simulator Assisted Open-ended Conversational Recommendation System
- Qiusi Zhan
- Xiaojie Guo
- et al.
- 2023
- NLP4ConvAI/ACL 2023
Conference paperMalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection
- Xiang Ling
- Lingfei Wu
- et al.
- 2022
- INFOCOM 2022
Conference paperAccepted Tutorials at The Web Conference 2022
- Riccardo Tommasini
- Senjuti Basu Roy
- et al.
- 2022
- WWW 2022
Conference paperExploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
- Hanlu Wu
- Tengfei Ma
- et al.
- 2022
- ACM TKDD
PaperDocumentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks
- April Yi Wang
- Dakuo Wang
- et al.
- 2022
- ACM TOCHI
PaperModeling Health Stage Development of Patients with Dynamic Attributed Graphs in Online Health Communities
- Yuyang Gao
- Tanmoy Chowdhury
- et al.
- 2021
- IEEE TKDE
Paper