An Automatic System for Classification of Nuclear Sclerosis from Slit-Lamp Photographs. - Shaohua Fan; Charles R. Dyer; Larry Hubbard; Barbara Klein (MICCAI (1), 2003)

Metropolis Photon Sampling with Optional User Guidance. - Shaohua Fan; Stephen Chenney; Yu-Chi Lai (Rendering Techniques, 2005)

Group motion graphs. - Yu-Chi Lai; Stephen Chenney; Shaohua Fan (Symposium on Computer Animation, 2005)

Optimizing Control Variate Estimators for Rendering. - Shaohua Fan; Stephen Chenney; Bo Hu; Kam-Wah Tsui; Yu-Chi Lai (Comput. Graph. Forum, 2006)

Photorealistic Image Rendering with Population Monte Carlo Energy Redistribution. - Yu-Chi Lai; Shaohua Fan; Stephen Chenney; Charcle Dyer (Rendering Techniques, 2007)

Information Entropy of Influenza A Segment 7. - William A. Thompson; Shaohua Fan; Joel K. Weltman (Entropy, 2008)

Animation rendering with Population Monte Carlo image-plane sampler. - Yu-Chi Lai; Stephen Chenney; Feng Liu 015; Yuzhen Niu; Shaohua Fan (Vis. Comput., 2010)

Robust and efficient adaptive direct lighting estimation. - Yu-Chi Lai; Hsuan-Ting Chou; Kuo-Wei Chen; Shaohua Fan (Vis. Comput., 2015)

An improved XGBoost based on weighted column subsampling for object classification. - Xin Gao; Shaohua Fan; Xinpeng Li 001; Ziming Guo; Hao Zhang 070; Yuexing Peng; Xinping Diao (ICSAI, 2017)

Abnormal Event Detection via Heterogeneous Information Network Embedding. - Shaohua Fan; Chuan Shi 001; Xiao Wang 017 (CIKM, 2018)

Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. - Shaohua Fan; Junxiong Zhu; Xiaotian Han; Chuan Shi 001; Linmei Hu; Biyu Ma; Yongliang Li (KDD, 2019)

Encrypted Traffic Classification Using Graph Convolutional Networks. - Shuang Mo; Yifei Wang; Ding Xiao; Wenrui Wu; Shaohua Fan; Chuan Shi 001 (ADMA, 2020)

Decorrelated Clustering with Data Selection Bias. - Xiao Wang 017; Shaohua Fan; Kun Kuang; Chuan Shi 001; Jiawei Liu 006; Bai Wang 001 (IJCAI, 2020)

One2Multi Graph Autoencoder for Multi-view Graph Clustering. - Shaohua Fan; Xiao Wang 017; Chuan Shi 001; Emiao Lu; Ken Lin; Bai Wang 001 (WWW, 2020)

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. - Shaohua Fan; Xiao Wang 017; Yanhu Mo; Chuan Shi 001; Jian Tang 005 (NeurIPS, 2022)

Directed Acyclic Graph Structure Learning from Dynamic Graphs. - Shaohua Fan; Shuyang Zhang; Xiao Wang 017; Chuan Shi 001 (AAAI, 2023)

PGG.SV: a whole-genome-sequencing-based structural variant resource and data analysis platform. - Yimin Wang; Yunchao Ling; Jiao Gong; Xiaohan Zhao; Hanwen Zhou; Bo Xie; Haiyi Lou; Xinhao Zhuang; Li Jin 002; Shaohua Fan; Guoqing Zhang 006; Shuhua Xu (Nucleic Acids Res., 2023)

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. - Xiao Wang 017; Deyu Bo; Chuan Shi 001; Shaohua Fan; Yanfang Ye 001; Philip S. Yu (IEEE Trans. Big Data, 2023)

Graph Contrastive Invariant Learning from the Causal Perspective. - Yanhu Mo; Xiao Wang 017; Shaohua Fan; Chuan Shi 001 (AAAI, 2024)

Graph Fairness Learning under Distribution Shifts. - Yibo Li; Xiao Wang 017; Yujie Xing; Shaohua Fan; Ruijia Wang; Yaoqi Liu; Chuan Shi 001 (WWW, 2024)

Stable Cox regression for survival analysis under distribution shifts. - Shaohua Fan; Renzhe Xu; Qian Dong; Yue He 001; Cheng Chang; Peng Cui 001 (Nat. Mac. Intell., 2024)

Generalizing Graph Neural Networks on Out-of-Distribution Graphs. - Shaohua Fan; Xiao Wang 017; Chuan Shi 001; Peng Cui 001; Bai Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Debiased Graph Neural Networks With Agnostic Label Selection Bias. - Shaohua Fan; Xiao Wang 017; Chuan Shi 001; Kun Kuang; Nian Liu; Bai Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Impact of inspirational film appreciation courses on college students by voice interaction system and artificial intelligence. - Shaohua Fan; Yujing Song (Comput. Sci. Inf. Syst., 2025)