Publications

Shen Han, Jiawei Chen, Yan Feng, Can Wang (2025). Uncertainty-Aware Graph Structure Learning. In WWW.

PDF Cite DOI

Yichen Liu, Jiawei Chen, Yan Feng, Can Wang (2024). Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding. In CIKM.

PDF Cite DOI

Yu Cui, FengLiu, PengboWang, Bohao Wang, Heng Tang, YiWan, JunWang, Jiawei Chen (2024). Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models. In RecSys 2024.

PDF Cite Code DOI

Zhenyu Zhou, DefangChen, Can Wang, Chun Chen, SiweiLyu (2024). Simple and Fast Distillation of Diffusion Models. In NeurIPS 2024.

PDF Cite Code

Weiqin Yang, Jiawei Chen, Yan Feng, Chun Chen, Can Wang (2024). PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. In NeurIPS 2024.

PDF Cite Code Dataset Poster Slides Video

Sirui Chen, Jiawei Chen, ShengZhou, Bohao Wang, Shen Han, Can Wang (2024). SIGformer: Sign-aware Graph Transformer for Recommendation. In SIGIR 2024.

PDF Cite Code Dataset DOI

DefangChen, Zhenyu Zhou, Can Wang, ChunhuaShen, SiweiLyu (2024). On the Trajectory Regularity of ODE-based Diffusion Sampling. In ICML 2024.

PDF Cite Code

Zhenyu Zhou, DefangChen, Can Wang, Chun Chen (2024). Fast Ode-based Sampling for Diffusion Models in Around 5 Steps. In CVPR 2024.

PDF Cite Code

Bohao Wang, Jiawei Chen, Changdong Li, ShengZhou, QihaoShi, Yan Feng, Chun Chen, Can Wang (2024). Distributionally Robust Graph-based Recommendation System. In WWW 2024.

PDF Cite Code Dataset Video DOI

Zhiyao Zhou, Jiawei Chen, Yan Feng, Can Wang (2023). OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. In NeurIPS.

PDF Cite Code Poster Slides Video