Robust Foreground Detection Using Smoothness and Arbitrariness Constraints. - Xiaojie Guo 001; Xinggang Wang; Liang Yang 002; Xiaochun Cao; Yi Ma 001 (ECCV (7), 2014)

An Approach for Mitigating Potential Threats in Practical SSO Systems. - Menghao Li; Liang Yang 002; Zimu Yuan; Rui Zhang 016; Rui Xue 001 (Inscrypt, 2015)

Deep People Counting in Extremely Dense Crowds. - Chuan Wang 002; Hua Zhang 008; Liang Yang 002; Si Liu 001; Xiaochun Cao (ACM Multimedia, 2015)

A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization. - Liang Yang 002; Xiaochun Cao; Di Jin 001; Xiao Wang 017; Dan Meng 002 (IEEE Trans. Cybern., 2015)

Semantic Community Identification in Large Attribute Networks. - Xiao Wang 017; Di Jin 001; Xiaochun Cao; Liang Yang 002; Weixiong Zhang (AAAI, 2016)

Modularity Based Community Detection with Deep Learning. - Liang Yang 002; Xiaochun Cao; Dongxiao He; Chuan Wang 002; Xiao Wang 017; Weixiong Zhang (IJCAI, 2016)

A fast space-saving algorithm for maximal co-location pattern mining. - Xiaojing Yao; Ling Peng; Liang Yang 002; Tianhe Chi (Expert Syst. Appl., 2016)

Total Variation Regularized RPCA for Irregularly Moving Object Detection Under Dynamic Background. - Xiaochun Cao; Liang Yang 002; Xiaojie Guo 001 (IEEE Trans. Cybern., 2016)

Multi-Component Nonnegative Matrix Factorization. - Jing Wang 023; Feng Tian 006; Xiao Wang 017; Hongchuan Yu; Chang Hong Liu; Liang Yang 002 (IJCAI, 2017)

Multiple Semantic Matching on Augmented N-Partite Graph for Object Co-Segmentation. - Chuan Wang 002; Hua Zhang 008; Liang Yang 002; Xiaochun Cao; Hongkai Xiong (IEEE Trans. Image Process., 2017)

Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation. - Liang Yang 002; Yuanfang Guo; Xiaochun Cao (AAAI, 2018)

A Hybrid 2D and 3D Convolution Based Recurrent Network for Video-Based Person Re-identification. - Li Cheng 006; Xiao-Yuan Jing; Xiaoke Zhu; Fumin Qi; Fei Ma 004; Xiaodong Jia 005; Liang Yang 002; Chunhe Wang (ICONIP (1), 2018)

3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces. - Liang Yang 002; Yuanfang Guo; Di Jin 001; Huazhu Fu; Xiaochun Cao (IJCAI, 2018)

Integrative Network Embedding via Deep Joint Reconstruction. - Di Jin 001; Meng Ge; Liang Yang 002; Dongxiao He; Longbiao Wang; Weixiong Zhang (IJCAI, 2018)

Incorporating network structure with node contents for community detection on large networks using deep learning. - Jinxin Cao; Di Jin 001; Liang Yang 002; Jianwu Dang 001 (Neurocomputing, 2018)

Human parsing by weak structural label. - Zhiyong Chen; Si Liu 001; Yanlong Zhai; Jia Lin; Xiaochun Cao; Liang Yang 002 (Multim. Tools Appl., 2018)

Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification. - Xiaoke Zhu; Xiao-Yuan Jing; Liang Yang 002; Xinge You; Dan Chen 001; Guangwei Gao; Yunhong Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2018)

Orderly Subspace Clustering. - Jing Wang 023; Atsushi Suzuki; Linchuan Xu; Feng Tian 006; Liang Yang 002; Kenji Yamanishi (AAAI, 2019)

Adversarial Capsule Learning for Network Embedding. - Di Jin 001; Zhigang Li; Liang Yang 002; Dongxiao He; Pengfei Jiao; Lu Zhai (ICTAI, 2019)

Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology. - Liang Yang 002; Zhiyang Chen; Junhua Gu; Yuanfang Guo (IJCAI, 2019)

Topology Optimization based Graph Convolutional Network. - Liang Yang 002; Zesheng Kang; Xiaochun Cao; Di Jin 001; Bo Yang 002; Yuanfang Guo (IJCAI, 2019)

Masked Graph Convolutional Network. - Liang Yang 002; Fan Wu; Yingkui Wang; Junhua Gu; Yuanfang Guo (IJCAI, 2019)

Viewpoint-robust Person Re-identification via Deep Residual Equivariant Mapping and Fine-grained Features. - Liang Yang 002; Xiao-Yuan Jing; Fulin He; Fei Ma 004; Li Cheng 006 (IJCNN, 2019)

A Novel Generative Topic Embedding Model by Introducing Network Communities. - Di Jin 001; Jiantao Huang; Pengfei Jiao; Liang Yang 002; Dongxiao He; Françoise Fogelman-Soulié; Yuxiao Huang (WWW, 2019)

Low illumination person re-identification. - Fei Ma 004; Xiaoke Zhu; Xinyu Zhang 012; Liang Yang 002; Mei Zuo; Xiao-Yuan Jing (Multim. Tools Appl., 2019)

Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport. - Liang Yang 002; Junhua Gu; Chuan Wang 002; Xiaochun Cao; Lu Zhai; Di Jin 001; Yuanfang Guo (ICDM, 2020)

JANE: Jointly Adversarial Network Embedding. - Liang Yang 002; Yuexue Wang; Junhua Gu; Chuan Wang 002; Xiaochun Cao; Yuanfang Guo (IJCAI, 2020)

Adversarial Mutual Information Learning for Network Embedding. - Dongxiao He; Lu Zhai; Zhigang Li; Di Jin 001; Liang Yang 002; Yuxiao Huang; Philip S. Yu (IJCAI, 2020)

Discrete Resource Allocation in Epidemic Control with Heuristic Majority-Voting Particle Swarm Optimization. - Tianfang Zhao; Wei-Neng Chen; Xiaokun Wu 004; Liang Yang 002; Qiang Yang 008 (SMC, 2020)

Graph Attention Topic Modeling Network. - Liang Yang 002; Fan Wu; Junhua Gu; Chuan Wang 002; Xiaochun Cao; Di Jin 001; Yuanfang Guo (WWW, 2020)

Text Co-Detection in Multi-View Scene. - Chuan Wang 002; Huazhu Fu; Liang Yang 002; Xiaochun Cao (IEEE Trans. Image Process., 2020)

Why Do Attributes Propagate in Graph Convolutional Neural Networks? - Liang Yang 002; Chuan Wang 002; Junhua Gu; Xiaochun Cao; Bingxin Niu (AAAI, 2021)

Bi-GCN: Binary Graph Convolutional Network. - Junfu Wang; Yunhong Wang 001; Zhen Yang; Liang Yang 002; Yuanfang Guo (CVPR, 2021)

Heterogeneous Graph Information Bottleneck. - Liang Yang 002; Fan Wu; Zichen Zheng; Bingxin Niu; Junhua Gu; Chuan Wang 002; Xiaochun Cao; Yuanfang Guo (IJCAI, 2021)

Diverse Message Passing for Attribute with Heterophily. - Liang Yang 002; Mengzhe Li; Liyang Liu; Bingxin Niu; Chuan Wang 002; Xiaochun Cao; Yuanfang Guo (NeurIPS, 2021)

Heterogeneous Graph Neural Network via Attribute Completion. - Di Jin 001; Cuiying Huo; Chundong Liang; Liang Yang 002 (WWW, 2021)

Toward Identifying Key Gene Group in the Occurrence and Development of Lung Adenocarcinoma. - Ming Gu 010; Tianfang Zhao; Wei Liu; Xiaokun Wu 004; Liang Yang 002 (IEEE Access, 2021)

Graph-CAT: Graph Co-Attention Networks via local and global attribute augmentations. - Liang Yang 002; Weixun Li; Yuanfang Guo; Junhua Gu (Future Gener. Comput. Syst., 2021)

Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing. - Liang Yang 002; Cheng Chen; Weixun Li; Bingxin Niu; Junhua Gu; Chuan Wang 002; Dongxiao He; Yuanfang Guo; Xiaochun Cao (AAAI, 2022)

Difference Residual Graph Neural Networks. - Liang Yang 002; Weihang Peng; Wenmiao Zhou; Bingxin Niu; Junhua Gu; Chuan Wang 002; Yuanfang Guo; Dongxiao He; Xiaochun Cao (ACM Multimedia, 2022)

OPEN: Orthogonal Propagation with Ego-Network Modeling. - Liang Yang 002; Lina Kang; Qiuliang Zhang; Mengzhe Li; Bingxin Niu; Dongxiao He; Zhen Wang 004; Chuan Wang 002; Xiaochun Cao; Yuanfang Guo (NeurIPS, 2022)

Graph Neural Networks Beyond Compromise Between Attribute and Topology. - Liang Yang 002; Wenmiao Zhou; Weihang Peng; Bingxin Niu; Junhua Gu; Chuan Wang 002; Xiaochun Cao; Dongxiao He (WWW, 2022)

Relation Embedding based Graph Neural Networks for Handling Heterogeneous Graph. - Junfu Wang; Yuanfang Guo; Liang Yang 002; Yunhong Wang 001 (CoRR, 2022)

Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model. - Liang Yang 002; Yuanfang Guo; Junhua Gu; Di Jin 001; Bo Yang 002; Xiaochun Cao (IEEE Trans. Cybern., 2022)

Deepfake Video Detection via Facial Action Dependencies Estimation. - Lingfeng Tan; Yunhong Wang 001; Junfu Wang; Liang Yang 002; Xunxun Chen; Yuanfang Guo (AAAI, 2023)

Graph Reciprocal Neural Networks by Abstracting Node as Attribute. - Liang Yang 002; Jiayi Wang; Dongxiao He; Chuan Wang 002; Xiaochun Cao; Bingxin Niu; Zhen Wang 004 (ICDM, 2023)

LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity. - Yuhan Chen 007; Yihong Luo; Jing Tang 004; Liang Yang 002; Siya Qiu; Chuan Wang 002; Xiaochun Cao (IJCAI, 2023)

Focusing on Flexible Masks: A Novel Framework for Panoptic Scene Graph Generation with Relation Constraints. - Jiarui Yang; Chuan Wang 002; Zeming Liu; Jiahong Wu; Dongsheng Wang 007; Liang Yang 002; Xiaochun Cao (ACM Multimedia, 2023)

Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing. - Liang Yang 002; Jiayi Wang; Tingting Zhang; Dongxiao He; Chuan Wang 002; Yuanfang Guo; Xiaochun Cao; Bingxin Niu; Zhen Wang 004 (ACM Multimedia, 2023)

Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs. - Jiaming Zhuo; Can Cui 005; Kun Fu; Bingxin Niu; Dongxiao He; Yuanfang Guo; Zhen Wang 004; Chuan Wang 002; Xiaochun Cao; Liang Yang 002 (ACM Multimedia, 2023)

Self-supervised Graph Neural Networks via Low-Rank Decomposition. - Liang Yang 002; Runjie Shi; Qiuliang Zhang; Bingxin Niu; Zhen Wang 004; Xiaochun Cao; Chuan Wang 002 (NeurIPS, 2023)

Graph Neural Networks without Propagation. - Liang Yang 002; Qiuliang Zhang; Runjie Shi; Wenmiao Zhou; Bingxin Niu; Chuan Wang 002; Xiaochun Cao; Dongxiao He; Zhen Wang 004; Yuanfang Guo (WWW, 2023)

Adversarial Representation Mechanism Learning for Network Embedding. - Dongxiao He; Tao Wang 074; Lu Zhai; Di Jin 001; Liang Yang 002; Yuxiao Huang; Zhiyong Feng 002; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding. - Junfu Wang; Yuanfang Guo; Liang Yang 002; Yunhong Wang 001 (IEEE Trans. Big Data, 2023)

Improving Graph Contrastive Learning via Adaptive Positive Sampling. - Jiaming Zhuo; Feiyang Qin; Can Cui 005; Kun Fu; Bingxin Niu; Mengzhu Wang; Yuanfang Guo; Chuan Wang 002; Zhen Wang 004; Xiaochun Cao; Liang Yang 002 (CVPR, 2024)

Understanding Heterophily for Graph Neural Networks. - Junfu Wang; Yuanfang Guo; Liang Yang 002; Yunhong Wang 001 (ICML, 2024)

Unified Graph Augmentations for Generalized Contrastive Learning on Graphs. - Jiaming Zhuo; Yintong Lu; Hui Ning; Kun Fu; Bingxin Niu; Dongxiao He; Chuan Wang 002; Yuanfang Guo; Zhen Wang 004; Xiaochun Cao; Liang Yang 002 (NeurIPS, 2024)

GAUSS: GrAph-customized Universal Self-Supervised Learning. - Liang Yang 002; Weixiao Hu; Jizhong Xu; Runjie Shi; Dongxiao He; Chuan Wang 002; Xiaochun Cao; Zhen Wang 004; Bingxin Niu; Yuanfang Guo (WWW, 2024)

Graph Contrastive Learning Reimagined: Exploring Universality. - Jiaming Zhuo; Can Cui 005; Kun Fu; Bingxin Niu; Dongxiao He; Chuan Wang 002; Yuanfang Guo; Zhen Wang 004; Xiaochun Cao; Liang Yang 002 (WWW, 2024)

GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation. - Mengzhu Wang; Jiao Li; Houcheng Su; Nan Yin; Liang Yang 002; Shen Li (CoRR, 2024)

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation. - Houcheng Su; Mengzhu Wang; Jiao Li; Nan Yin; Liang Yang 002; Li Shen 008 (CoRR, 2024)

Heterophily-aware graph attention network. - Junfu Wang; Yuanfang Guo; Liang Yang 002; Yunhong Wang 001 (Pattern Recognit., 2024)

Adaptive Feature Learning for Unbiased Scene Graph Generation. - Jiarui Yang; Chuan Wang 002; Liang Yang 002; Yuchen Jiang; Angelina Cao (IEEE Trans. Image Process., 2024)

Mining Multiplatform Opinions During Public Health Crisis: A Comparative Study. - Kun Sun; Tian-Fang Zhao; Xiaokun Wu 004; Liang Yang 002; Di Jin 001; Wei-Neng Chen (IEEE Trans. Comput. Soc. Syst., 2024)

Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning. - Dongxiao He; Chundong Liang; Cuiying Huo; Zhiyong Feng 002; Di Jin 001; Liang Yang 002; Weixiong Zhang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Binary Graph Convolutional Network With Capacity Exploration. - Junfu Wang; Yuanfang Guo; Liang Yang 002; Yunhong Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Modeling Information Cocoons in Networked Populations: Insights From Backgrounds and Preferences. - Ming Gu 010; Tian-Fang Zhao; Liang Yang 002; Xiaokun Wu 004; Wei-Neng Chen (IEEE Trans. Comput. Soc. Syst., 2024)

Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology. - Liang Yang 002; Zhenna Li; Jiaming Zhuo; Jing Liu; Ziyi Ma; Chuan Wang 002; Zhen Wang 004; Xiaochun Cao (AAAI, 2025)

Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation. - Jiarui Yang; Chuan Wang 002; Jun Zhang; Shuyi Wu; Jinjing Zhao; Zeming Liu; Liang Yang 002 (AAAI, 2025)

DUALFormer: Dual Graph Transformer. - Jiaming Zhuo; Yuwei Liu; Yintong Lu; Ziyi Ma; Kun Fu; Chuan Wang 002; Yuanfang Guo; Zhen Wang 004; Xiaochun Cao; Liang Yang 002 (ICLR, 2025)

A multimodal information-interconnected network for medication guidance in HR+/HER2- breast cancer treatment. - Jinlin Ye; Yuhan Liu; Shangjie Ren; Changjun Wang; Yidong Zhou; Liang Yang 002; Wei Zhang (Inf. Fusion, 2025)

Edge Computing Accelerator for Real-Time Defect Detection of Photovoltaic Panel on Lightweight FPGAs. - Jinlin Ye; Yuhan Liu; Haiyong Chen; Changjun Wang; Yidong Zhou; Liang Yang 002; Wei Zhang (IEEE Trans. Instrum. Meas., 2025)

A Lightweight Edge Computing Neural Network for Online Photovoltaic Defect Inspection. - Jinlin Ye; Yuhan Liu; Liang Yang 002; Haiyong Chen; Changjun Wang; Yidong Zhou; Wei Zhang (IEEE Trans. Instrum. Meas., 2025)

Generalizable AI-Generated Image Detection Based on Fractal Self-Similarity in the Spectrum. - Shengpeng Xiao; Yuanfang Guo; Heqi Peng; Zeming Liu; Liang Yang 002; Yunhong Wang 001 (CoRR, 2025)

ALD-GCN: Graph Convolutional Networks With Attribute-Level Defense. - Yihui Li; Yuanfang Guo; Junfu Wang; Shihao Nie; Liang Yang 002; Di Huang 001; Yunhong Wang 001 (IEEE Trans. Big Data, 2025)

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation. - Mengzhu Wang; Jiao Li; Shanshan Wang 008; Long Lan; Huibin Tan; Liang Yang 002; Guoli Yang (CoRR, 2025)

ERMAV: Efficient and Robust Graph Contrastive Learning via Multiadversarial Views Training. - Wen Li; Wing W. Y. Ng; Hengyou Wang; Jianjun Zhang 004; Cankun Zhong; Liang Yang 002 (IEEE Trans. Cybern., 2025)

Graph Convolutional Mixture-of-Experts Learner Network for Long-Tailed Domain Generalization. - Mengzhu Wang; Houcheng Su; Sijia Wang; Shanshan Wang 008; Nan Yin; Li Shen 008; Long Lan; Liang Yang 002; Xiaochun Cao (IEEE Trans. Circuits Syst. Video Technol., 2025)

InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation. - Tian-Fang Zhao; Wen-Xi Yang; Guan Liu; Liang Yang 002 (CoRR, 2025)