Caihua Shan

2023

doi dblp
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.
Xiang Li|Tiandi Ye|Caihua Shan|Dongsheng Li|Ming Gao
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

doi dblp
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation.
Yao Zhang|Yun Xiong|Yiheng Sun|Caihua Shan|Tian Lu|Hui Song|Yangyong Zhu
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

2021

doi dblp
How Powerful is Graph Convolution for Recommendation?
Yifei Shen|Yongji Wu|Yao Zhang|Caihua Shan|Jun Zhang|Khaled B. Letaief|Dongsheng Li
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
doi dblp
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph.
Yao Zhang|Yun Xiong|Dongsheng Li|Caihua Shan|Kan Ren|Yangyong Zhu
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

2020

doi dblp
A Toolkit for Managing Multiple Crowdsourced Top-K Queries.
Caihua Shan|Leong Hou U|Nikos Mamoulis|Reynold Cheng
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020