Caihua Shan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
9
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICDE | Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks (Extended Abstract). | Yao Cheng, Minjie Chen, Caihua Shan, Xiang Li |
| 2025 | ICLR | How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. | Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan |
| 2025 | ICML | When Do LLMs Help With Node Classification? A Comprehensive Analysis. | Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng |
| 2024 | ICLR | Training-free Multi-objective Diffusion Model for 3D Molecule Generation. | Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li |
| 2024 | KDD | Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. | Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li |
| 2023 | AAAI | Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. | Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li |
| 2023 | ICDE | COCLEP: Contrastive Learning-based Semi-Supervised Community Search. | Ling Li, Siqiang Luo, Yuhai Zhao, Caihua Shan, Zhengkui Wang, Lu Qin |
| 2023 | ICLR | Explaining Temporal Graph Models through an Explorer-Navigator Framework. | Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li |
| 2023 | ICML | CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. | Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li |
| 2023 | WWW | SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. | Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao |
| 2022 | CIKM | 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 |
| 2022 | CVPR | RendNet: Unified 2D/3D Recognizer with Latent Space Rendering. | Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li |
| 2022 | ICML | Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. | Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian |
| 2022 | KDD | CLARE: A Semi-supervised Community Detection Algorithm. | Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu |
| 2022 | KDD | CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis. | Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang |
| 2021 | CIKM | How Powerful is Graph Convolution for Recommendation? | Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li |
| 2021 | CIKM | CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. | Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu |
| 2020 | CIKM | A Toolkit for Managing Multiple Crowdsourced Top-K Queries. | Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng |
| 2020 | DASFAA | A General Early-Stopping Module for Crowdsourced Ranking. | Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li |
| 2020 | ICDE | An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. | Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian |
| 2020 | KDD | CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. | Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester |
| 2018 | ICDE | T-Crowd: Effective Crowdsourcing for Tabular Data. | Caihua Shan, Nikos Mamoulis, Guoliang Li, Reynold Cheng, Zhipeng Huang, Yudian Zheng |