Caihua Shan

Senior Researcher

Papiers de Collaboration

Afficher par:

- When Do LLMs Help With Node Classification? A Comprehensive Analysis
  
  Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng
  
  ICML 2025 | February 2025
  
  Publication
- Can Graph Learning Improve Task Planning?
  
  Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
  
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
  
  NPJ Parkinson's Disease | December 2024, Vol 10
  
  DOI Publication Publication
- Training-free Multi-objective Diffusion Model for 3D Molecule Generation
  
  Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
  
  ICLR 2024 | April 2024
  
  Publication
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 2023
  
  Publication
- Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
  
  WWW 23 | April 2023
  
  Author's Version
- 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
  
  AAAI 2023 | February 2023
  
  Publication
- 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
  
  CIKM 2022 | October 2022
  
  Publication
- CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
  
  Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
  
  KDD 2022 | August 2022
  
  Publication
- CLARE: A Semi-supervised Community Detection Algorithm
  
  Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
  
  KDD 2022 | August 2022
  
  Publication
- Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  
  Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
  
  ICML 2022 | July 2022
  
  Publication
- RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
  
  Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
  
  CVPR 2022 | June 2022
  
  Publication
- Recognizing Vector Graphics without Rasterization
  
  Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Reinforcement Learning Enhanced Explainer for Graph Neural Networks
  
  Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- How Powerful is Graph Convolution for Recommendation?
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled Ben Letaief, Dongsheng Li
  
  Conference on Information and Knowledge Management (Oral) | November 2021
  
  Project: Inductive bias in neural architectures
  
  Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI PDF Publication
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication Publication Publication

- When Do LLMs Help With Node Classification? A Comprehensive Analysis
  
  Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng
  
  ICML 2025 | February 2025
  
  Publication
- Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
  
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
  
  NPJ Parkinson's Disease | December 2024, Vol 10
  
  DOI Publication Publication
- Can Graph Learning Improve Task Planning?
  
  Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Training-free Multi-objective Diffusion Model for 3D Molecule Generation
  
  Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
  
  ICLR 2024 | April 2024
  
  Publication
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 2023
  
  Publication
- Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
  
  WWW 23 | April 2023
  
  Author's Version
- 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
  
  AAAI 2023 | February 2023
  
  Publication
- 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
  
  CIKM 2022 | October 2022
  
  Publication
- CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
  
  Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
  
  KDD 2022 | August 2022
  
  Publication
- Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  
  Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
  
  ICML 2022 | July 2022
  
  Publication
- Reinforcement Learning Enhanced Explainer for Graph Neural Networks
  
  Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
  
  WWW 23 | April 2023
  
  Author's Version
- CLARE: A Semi-supervised Community Detection Algorithm
  
  Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
  
  KDD 2022 | August 2022
  
  Publication
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication Publication Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI PDF Publication
- How Powerful is Graph Convolution for Recommendation?
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled Ben Letaief, Dongsheng Li
  
  Conference on Information and Knowledge Management (Oral) | November 2021
  
  Project: Inductive bias in neural architectures
  
  Publication
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication Publication Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI PDF Publication
- RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
  
  Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
  
  CVPR 2022 | June 2022
  
  Publication
- Recognizing Vector Graphics without Rasterization
  
  Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication

- When Do LLMs Help With Node Classification? A Comprehensive Analysis
  
  Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng
  
  ICML 2025 | February 2025
  
  Publication
- Can Graph Learning Improve Task Planning?
  
  Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Training-free Multi-objective Diffusion Model for 3D Molecule Generation
  
  Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
  
  ICLR 2024 | April 2024
  
  Publication
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 2023
  
  Publication
- Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
  
  Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
  
  WWW 23 | April 2023
  
  Author's Version
- 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
  
  AAAI 2023 | February 2023
  
  Publication
- 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
  
  CIKM 2022 | October 2022
  
  Publication
- CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
  
  Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
  
  KDD 2022 | August 2022
  
  Publication
- CLARE: A Semi-supervised Community Detection Algorithm
  
  Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
  
  KDD 2022 | August 2022
  
  Publication
- Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  
  Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
  
  ICML 2022 | July 2022
  
  Publication
- RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
  
  Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
  
  CVPR 2022 | June 2022
  
  Publication
- Reinforcement Learning Enhanced Explainer for Graph Neural Networks
  
  Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- Recognizing Vector Graphics without Rasterization
  
  Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
  
  NeurIPS 2021 | December 2021
  
  Publication
- How Powerful is Graph Convolution for Recommendation?
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled Ben Letaief, Dongsheng Li
  
  Conference on Information and Knowledge Management (Oral) | November 2021
  
  Project: Inductive bias in neural architectures
  
  Publication
- How Powerful is Graph Convolution for Recommendation
  
  Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief, Dongsheng Li
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI Publication Publication Publication Publication
- CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
  
  Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
  
  2021 Conference on Information and Knowledge Management | October 2021
  
  DOI PDF Publication
- Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
  
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
  
  NPJ Parkinson's Disease | December 2024, Vol 10
  
  DOI Publication Publication