Shaohua Fan

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 22

Top Topics

Markov Equivalence Classes

Graph Embedding

Markov Property

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi
Graph Fairness Learning under Distribution Shifts. WWW (2024)
Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi
Graph Fairness Learning under Distribution Shifts. CoRR (2024)
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
Generalizing Graph Neural Networks on Out-of-Distribution Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi
Graph Contrastive Invariant Learning from the Causal Perspective. CoRR (2024)
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
Debiased Graph Neural Networks With Agnostic Label Selection Bias. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi
Graph Contrastive Invariant Learning from the Causal Perspective. AAAI (2024)
Yimin Wang, Yunchao Ling, Jiao Gong, Xiaohan Zhao, Hanwen Zhou, Bo Xie, Haiyi Lou, Xinhao Zhuang, Li Jin, Shaohua Fan, Guoqing Zhang, Shuhua Xu
PGG.SV: a whole-genome-sequencing-based structural variant resource and data analysis platform. Nucleic Acids Res. 51 (D1) (2023)
Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
Directed Acyclic Graph Structure Learning from Dynamic Graphs. AAAI (2023)
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. IEEE Trans. Big Data 9 (2) (2023)
Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. NeurIPS (2022)
Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. CoRR (2022)
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
Debiased Graph Neural Networks with Agnostic Label Selection Bias. CoRR (2022)
Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
Directed Acyclic Graph Structure Learning from Dynamic Graphs. CoRR (2022)
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs. CoRR (2021)
Shuang Mo, Yifei Wang, Ding Xiao, Wenrui Wu, Shaohua Fan, Chuan Shi
Encrypted Traffic Classification Using Graph Convolutional Networks. ADMA (2020)
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
Decorrelated Clustering with Data Selection Bias. CoRR (2020)
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
Decorrelated Clustering with Data Selection Bias. IJCAI (2020)
Shaohua Fan, Xiao Wang, Chuan Shi, Emiao Lu, Ken Lin, Bai Wang
One2Multi Graph Autoencoder for Multi-view Graph Clustering. WWW (2020)
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. CoRR (2020)
Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. KDD (2019)
Shaohua Fan, Chuan Shi, Xiao Wang
Abnormal Event Detection via Heterogeneous Information Network Embedding. CIKM (2018)
Xin Gao, Shaohua Fan, Xinpeng Li, Ziming Guo, Hao Zhang, Yuexing Peng, Xinping Diao
An improved XGBoost based on weighted column subsampling for object classification. ICSAI (2017)
Yu-Chi Lai, Hsuan-Ting Chou, Kuo-Wei Chen, Shaohua Fan
Robust and efficient adaptive direct lighting estimation. Vis. Comput. 31 (1) (2015)
Yu-Chi Lai, Stephen Chenney, Feng Liu, Yuzhen Niu, Shaohua Fan
Animation rendering with Population Monte Carlo image-plane sampler. Vis. Comput. 26 (6-8) (2010)
William A. Thompson, Shaohua Fan, Joel K. Weltman
Information Entropy of Influenza A Segment 7. Entropy 10 (4) (2008)
Yu-Chi Lai, Shaohua Fan, Stephen Chenney, Charcle Dyer
Photorealistic Image Rendering with Population Monte Carlo Energy Redistribution. Rendering Techniques (2007)
Shaohua Fan, Stephen Chenney, Bo Hu, Kam-Wah Tsui, Yu-Chi Lai
Optimizing Control Variate Estimators for Rendering. Comput. Graph. Forum 25 (3) (2006)
Yu-Chi Lai, Stephen Chenney, Shaohua Fan
Group motion graphs. Symposium on Computer Animation (2005)
Shaohua Fan, Stephen Chenney, Yu-Chi Lai
Metropolis Photon Sampling with Optional User Guidance. Rendering Techniques (2005)
Shaohua Fan, Charles R. Dyer, Larry Hubbard, Barbara Klein
An Automatic System for Classification of Nuclear Sclerosis from Slit-Lamp Photographs. MICCAI (1) (2003)