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2020 – today
- 2024
[j8]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): 322-337 (2024)- [j7]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): 4411-4422 (2024) - [c14]Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi:
Graph Contrastive Invariant Learning from the Causal Perspective. AAAI 2024: 8904-8912 - [c13]Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi:
Graph Fairness Learning under Distribution Shifts. WWW 2024: 676-684 - [i8]Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi:
Graph Contrastive Invariant Learning from the Causal Perspective. CoRR abs/2401.12564 (2024) - [i7]Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi:
Graph Fairness Learning under Distribution Shifts. CoRR abs/2401.16784 (2024) - 2023
- [j6]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): 1109-1116 (2023) - [j5]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): 415-436 (2023) - [c12]Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi:
Directed Acyclic Graph Structure Learning from Dynamic Graphs. AAAI 2023: 7512-7521 - 2022
- [c11]Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang:
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. NeurIPS 2022 - [i6]Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang:
Debiased Graph Neural Networks with Agnostic Label Selection Bias. CoRR abs/2201.07708 (2022) - [i5]Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang:
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. CoRR abs/2209.14107 (2022) - [i4]Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi:
Directed Acyclic Graph Structure Learning from Dynamic Graphs. CoRR abs/2211.17029 (2022) - 2021
- [i3]Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang:
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs. CoRR abs/2111.10657 (2021) - 2020
- [c10]Shuang Mo, Yifei Wang, Ding Xiao, Wenrui Wu, Shaohua Fan, Chuan Shi:
Encrypted Traffic Classification Using Graph Convolutional Networks. ADMA 2020: 207-219 - [c9]Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang:
Decorrelated Clustering with Data Selection Bias. IJCAI 2020: 2177-2183 - [c8]Shaohua Fan, Xiao Wang, Chuan Shi, Emiao Lu, Ken Lin, Bai Wang:
One2Multi Graph Autoencoder for Multi-view Graph Clustering. WWW 2020: 3070-3076 - [i2]Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang:
Decorrelated Clustering with Data Selection Bias. CoRR abs/2006.15874 (2020) - [i1]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 abs/2011.14867 (2020)
2010 – 2019
- 2019
- [c7]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: 2478-2486 - 2018
- [c6]Shaohua Fan, Chuan Shi, Xiao Wang:
Abnormal Event Detection via Heterogeneous Information Network Embedding. CIKM 2018: 1483-1486 - 2017
- [c5]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: 1557-1562 - 2015
- [j4]Yu-Chi Lai, Hsuan-Ting Chou, Kuo-Wei Chen, Shaohua Fan:
Robust and efficient adaptive direct lighting estimation. Vis. Comput. 31(1): 83-91 (2015) - 2010
- [j3]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): 543-553 (2010)
2000 – 2009
- 2008
- [j2]William A. Thompson, Shaohua Fan, Joel K. Weltman:
Information Entropy of Influenza A Segment 7. Entropy 10(4): 736-744 (2008) - 2007
- [c4]Yu-Chi Lai, Shaohua Fan, Stephen Chenney, Charcle Dyer:
Photorealistic Image Rendering with Population Monte Carlo Energy Redistribution. Rendering Techniques 2007: 287-295 - 2006
- [j1]Shaohua Fan, Stephen Chenney, Bo Hu, Kam-Wah Tsui, Yu-Chi Lai:
Optimizing Control Variate Estimators for Rendering. Comput. Graph. Forum 25(3): 351-357 (2006) - 2005
- [c3]Shaohua Fan, Stephen Chenney, Yu-Chi Lai:
Metropolis Photon Sampling with Optional User Guidance. Rendering Techniques 2005: 127-138 - [c2]Yu-Chi Lai, Stephen Chenney, Shaohua Fan:
Group motion graphs. Symposium on Computer Animation 2005: 281-290 - 2003
- [c1]Shaohua Fan, Charles R. Dyer, Larry Hubbard, Barbara Klein:
An Automatic System for Classification of Nuclear Sclerosis from Slit-Lamp Photographs. MICCAI (1) 2003: 592-601
Coauthor Index
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