Shaohua Fan

36 papers A* 7A 1C 1Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Protect NTN-IoT Security by Malicious Traffic Detection: A Multidimensional Hypergraph Learning Approach.
IEEE Internet Things J.
Xuzeng Li, Tao Zhang, Jian Wang, Zhen Han, Nan Wang, Shaohua Fan, Hongyang Du, Jiawen Kang, Jiqiang Liu, Dusit Niyato
2025 J jnl
AuCoGNN: Enhancing Graph Fairness Learning Under Distribution Shifts With Automated Graph Generation.
IEEE Trans. Knowl. Data Eng.
Xiao Wang, Yibo Li, Yujie Xing, Shaohua Fan, Chuan Shi
2025 J jnl
Impact of inspirational film appreciation courses on college students by voice interaction system and artificial intelligence.
Comput. Sci. Inf. Syst.
Shaohua Fan, Yujing Song
2025 J jnl
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence.
CoRR
Xingxuan Zhang, Gang Ren, Han Yu, Hao Yuan, Hui Wang, Jiansheng Li, Jiayun Wu, Lang Mo, Li Mao, Mingchao Hao, Ningbo Dai, Renzhe Xu, Shuyang Li, Tianyang Zhang, Yue He, Yuanrui Wang, Yunjia Zhang, Zijing Xu, Dongzhe Li, Fang Gao, Hao Zou, Jiandong Liu, Jiashuo Liu, Jiawei Xu, Kaijie Cheng, Kehan Li, Linjun Zhou, Qing Li, Shaohua Fan, Xiaoyu Lin, Xinyan Han, Xuanyue Li, Yan Lu, Yuan Xue, Yuanyuan Jiang, Zimu Wang, Zhenlei Wang, Peng Cui
2025 — conf
PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint.
KDD (2)
Zimu Wang, Hao Zou, Han Yu, Shaohua Fan, Haotian Wang, Yue He, Peng Cui
2024 J jnl
Debiased Graph Neural Networks With Agnostic Label Selection Bias.
IEEE Trans. Neural Networks Learn. Syst.
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
2024 J jnl
Generalizing Graph Neural Networks on Out-of-Distribution Graphs.
IEEE Trans. Pattern Anal. Mach. Intell.
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
2024 A* conf
Graph Contrastive Invariant Learning from the Causal Perspective.
AAAI
Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi
2024 J jnl
Graph Contrastive Invariant Learning from the Causal Perspective.
CoRR
Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi
2024 A* conf
Graph Fairness Learning under Distribution Shifts.
WWW
Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi
2024 J jnl
Graph Fairness Learning under Distribution Shifts.
CoRR
Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi
2024 J jnl
Stable Cox regression for survival analysis under distribution shifts.
Nat. Mac. Intell.
Shaohua Fan, Renzhe Xu, Qian Dong, Yue He, Cheng Chang, Peng Cui
2023 J jnl
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources.
IEEE Trans. Big Data
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
2023 A* conf
Directed Acyclic Graph Structure Learning from Dynamic Graphs.
AAAI
Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
2023 J jnl
PGG.SV: a whole-genome-sequencing-based structural variant resource and data analysis platform.
Nucleic Acids Res.
Yimin Wang, Yunchao Ling, Jiao Gong, Xiaohan Zhao, Hanwen Zhou, Bo Xie, Haiyi Lou, Xinhao Zhuang, Li Jin, Shaohua Fan, Guoqing Zhang, Shuhua Xu
2022 J jnl
Debiased Graph Neural Networks with Agnostic Label Selection Bias.
CoRR
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
2022 A* conf
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure.
NeurIPS
Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
2022 J jnl
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure.
CoRR
Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
2022 J jnl
Directed Acyclic Graph Structure Learning from Dynamic Graphs.
CoRR
Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
2021 J jnl
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs.
CoRR
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
2020 J jnl
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources.
CoRR
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
2020 A* conf
Decorrelated Clustering with Data Selection Bias.
IJCAI
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
2020 J jnl
Decorrelated Clustering with Data Selection Bias.
CoRR
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
2020 C conf
Encrypted Traffic Classification Using Graph Convolutional Networks.
ADMA
Shuang Mo, Yifei Wang, Ding Xiao, Wenrui Wu, Shaohua Fan, Chuan Shi
2020 A* conf
One2Multi Graph Autoencoder for Multi-view Graph Clustering.
WWW
Shaohua Fan, Xiao Wang, Chuan Shi, Emiao Lu, Ken Lin, Bai Wang
2019 A* conf
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation.
KDD
Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li
2018 A conf
Abnormal Event Detection via Heterogeneous Information Network Embedding.
CIKM
Shaohua Fan, Chuan Shi, Xiao Wang
2017 — conf
An improved XGBoost based on weighted column subsampling for object classification.
ICSAI
Xin Gao, Shaohua Fan, Xinpeng Li, Ziming Guo, Hao Zhang, Yuexing Peng, Xinping Diao
2015 J jnl
Robust and efficient adaptive direct lighting estimation.
Vis. Comput.
Yu-Chi Lai, Hsuan-Ting Chou, Kuo-Wei Chen, Shaohua Fan
2010 J jnl
Animation rendering with Population Monte Carlo image-plane sampler.
Vis. Comput.
Yu-Chi Lai, Stephen Chenney, Feng Liu, Yuzhen Niu, Shaohua Fan
2008 J jnl
Information Entropy of Influenza A Segment 7.
Entropy
William A. Thompson, Shaohua Fan, Joel K. Weltman
2007 — conf
Photorealistic Image Rendering with Population Monte Carlo Energy Redistribution.
Rendering Techniques
Yu-Chi Lai, Shaohua Fan, Stephen Chenney, Charcle Dyer
2006 J jnl
Optimizing Control Variate Estimators for Rendering.
Comput. Graph. Forum
Shaohua Fan, Stephen Chenney, Bo Hu, Kam-Wah Tsui, Yu-Chi Lai
2005 — conf
Group motion graphs.
Symposium on Computer Animation
Yu-Chi Lai, Stephen Chenney, Shaohua Fan
2005 — conf
Metropolis Photon Sampling with Optional User Guidance.
Rendering Techniques
Shaohua Fan, Stephen Chenney, Yu-Chi Lai
2003 — conf
An Automatic System for Classification of Nuclear Sclerosis from Slit-Lamp Photographs.
MICCAI (1)
Shaohua Fan, Charles R. Dyer, Larry Hubbard, Barbara Klein