Caihua Shan

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

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

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

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