Caihua Shan

Most-cited papers

Truth Inference in Crowdsourcing: Is the Problem Solved?
Yudian Zheng, Guo-Liang Li, Yuanbing Li, Caihua Shan +1 more
2017Proceedings of the VLDB Endowment495 citations Open access
Semantic Scholar
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan +3 more
2022International Conference on Machine Learning319 citations Open access
Semantic Scholar
How Powerful is Graph Convolution for Recommendation?
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan +3 more
2021International Conference on Information and Knowledge Management149 citations Open access
Semantic Scholar
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li +1 more
2021Neural Information Processing Systems82 citations
Semantic Scholar
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li +1 more
2023The Web Conference50 citations Open access
Semantic Scholar
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads
Dingheng Mo, Fan-Chao Chen, Siqiang Luo, Caihua Shan
2023Proc. ACM Manag. Data46 citations Open access
Semantic Scholar
When Do LLMs Help With Node Classification? A Comprehensive Analysis
Xi-Xi Wu, Yi-Fei Shen, Fang-Zhou Ge, Caihua Shan +3 more
2025International Conference on Machine Learning32 citations
Semantic Scholar
Explaining Temporal Graph Models through an Explorer-Navigator Framework
Wenwen Xia, Mincai Lai, Caihua Shan, Yaofang Zhang +3 more
2023International Conference on Learning Representations32 citations
Semantic Scholar
On Analyzing Graphs with Motif-Paths
Xiaodong Li, Reynold Cheng, K. Chang, Caihua Shan +2 more
2021Proceedings of the VLDB Endowment31 citations
Semantic Scholar
Recognizing Vector Graphics without Rasterization
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen +2 more
2021Neural Information Processing Systems28 citations
Semantic Scholar
A survey on learning from graphs with heterophily: recent advances and future directions
Chenghua Gong, Yao Cheng, Jianxiang Yu, Can Xu +3 more
2024Frontiers of Computer Science26 citations Open access
Semantic Scholar
Training-free Multi-objective Diffusion Model for 3D Molecule Generation
Xu Han, Caihua Shan, Yifei Shen, Can Xu +3 more
2024International Conference on Learning Representations26 citations
Semantic Scholar
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms
Caihua Shan, N. Mamoulis, Reynold Cheng, Guo-Liang Li +2 more
2019IEEE International Conference on Data Engineering25 citations
Semantic Scholar
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen +4 more
2023AAAI Conference on Artificial Intelligence24 citations Open access
Semantic Scholar
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li +2 more
2023Knowledge Discovery and Data Mining24 citations Open access
Semantic Scholar
COCLEP: Contrastive Learning-based Semi-Supervised Community Search
Ling Li, Siqiang Luo, Yu-Hai Zhao, Caihua Shan +2 more
2023IEEE International Conference on Data Engineering22 citations
Semantic Scholar
Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset
Shuguang Dou, Xinyang Jiang, Lu Liu, Lu Ying +6 more
2024IEEE Transactions on Pattern Analysis and Machine Intelligence19 citations
Semantic Scholar
VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL
Kyoungjun Park, Yi-Fan Yang, Juheon Yi, Shicheng Zheng +5 more
2025arXiv.org18 citations
Semantic Scholar
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data
Xiang Li, B. Kao, Caihua Shan, Da-Wei Yin +1 more
2020Knowledge Discovery and Data Mining18 citations Open access
Semantic Scholar
A Crowdsourcing Framework for Collecting Tabular Data
Caihua Shan, N. Mamoulis, Guo-Liang Li, Reynold Cheng +2 more
2020IEEE Transactions on Knowledge and Data Engineering15 citations
Semantic Scholar
T-Crowd: Effective Crowdsourcing for Tabular Data
Caihua Shan, N. Mamoulis, Guo-Liang Li, Reynold Cheng +2 more
2017IEEE International Conference on Data Engineering12 citations Open access
Semantic Scholar
Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path
Xin-Nan Dai, Qihao Wen, Yifei Shen, Hongzhi Wen +3 more
2024arXiv.org7 citations
Semantic Scholar
Towards Learning from Graphs with Heterophily: Progress and Future
Chenghua Gong, Yao Cheng, Jianxiang Yu, Can Xu +3 more
2024arXiv.org7 citations
Semantic Scholar
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Kai Wang, Si-Qiang Luo, Caihua Shan, Yifei Shen
2024Neural Information Processing Systems5 citations Open access
Semantic Scholar
Motif Paths: A New Approach for Analyzing Higher-order Semantics between Graph Nodes
Xiaodong Li, Tsz Nam Chan, Reynold Cheng, Caihua Shan +2 more
20195 citations
Semantic Scholar
Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks
Yao Cheng, Min-Jie Chen, Caihua Shan, Xiang Li
2024IEEE Transactions on Knowledge and Data Engineering3 citations
Semantic Scholar
Label Propagation for Graph Label Noise
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li +2 more
2023arXiv.org2 citations
Semantic Scholar
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine
J. Lian, Xufang Luo, Caihua Shan, Dong-Qi Han +2 more
2023arXiv.org2 citations
Semantic Scholar
Biological Factor Regulatory Neural Network
Xinnan Dai, Caihua Shan, Jie Zheng, Xiaoxiao Li +1 more
2023arXiv.org1 citations Open access
Semantic Scholar
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan +5 more
2023International Conference on Machine Learning1 citations
Semantic Scholar
A General Early-Stopping Module for Crowdsourced Ranking
Caihua Shan, Leong Hou U, N. Mamoulis, Reynold Cheng +1 more
2019International Conference on Database Systems for Advanced Applications1 citations Open access
Semantic Scholar
Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks (Extended Abstract)
Yao Cheng, Min-Jie Chen, Caihua Shan, Xiang Li
2025IEEE International Conference on Data Engineering0 citations
Semantic Scholar
Prioritized Propagation in Graph Neural Networks
Yao Cheng, Min-Jie Chen, Xiang Li, Caihua Shan +1 more
2023arXiv.org0 citations
Semantic Scholar
A Toolkit for Managing Multiple Crowdsourced Top-K Queries
Caihua Shan, Leong Hou U, N. Mamoulis, Reynold Cheng
2020International Conference on Information and Knowledge Management0 citations
Semantic Scholar