Liang Yang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 49

Top Topics

Community Detection

Nonnegative Matrix

Top Venues

Publications

Dongxiao He, Chundong Liang, Cuiying Huo, Zhiyong Feng, Di Jin, Liang Yang, Weixiong Zhang
Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang
Heterophily-aware graph attention network. Pattern Recognit. 156 (2024)
Ming Gu, Tian-Fang Zhao, Liang Yang, Xiaokun Wu, Wei-Neng Chen
Modeling Information Cocoons in Networked Populations: Insights From Backgrounds and Preferences. IEEE Trans. Comput. Soc. Syst. 11 (3) (2024)
Liang Yang, Weixiao Hu, Jizhong Xu, Runjie Shi, Dongxiao He, Chuan Wang, Xiaochun Cao, Zhen Wang, Bingxin Niu, Yuanfang Guo
GAUSS: GrAph-customized Universal Self-Supervised Learning. WWW (2024)
Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang
Binary Graph Convolutional Network With Capacity Exploration. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang
Graph Contrastive Learning Reimagined: Exploring Universality. WWW (2024)
Kun Sun, Tian-Fang Zhao, Xiaokun Wu, Liang Yang, Di Jin, Wei-Neng Chen
Mining Multiplatform Opinions During Public Health Crisis: A Comparative Study. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Jiarui Yang, Chuan Wang, Liang Yang, Yuchen Jiang, Angelina Cao
Adaptive Feature Learning for Unbiased Scene Graph Generation. IEEE Trans. Image Process. 33 (2024)
Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo
Graph Neural Networks without Propagation. WWW (2023)
Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding. IEEE Trans. Big Data 9 (6) (2023)
Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Yuanfang Guo, Zhen Wang, Chuan Wang, Xiaochun Cao, Liang Yang
Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs. ACM Multimedia (2023)
Liang Yang, Jiayi Wang, Tingting Zhang, Dongxiao He, Chuan Wang, Yuanfang Guo, Xiaochun Cao, Bingxin Niu, Zhen Wang
Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing. ACM Multimedia (2023)
Dongxiao He, Tao Wang, Lu Zhai, Di Jin, Liang Yang, Yuxiao Huang, Zhiyong Feng, Philip S. Yu
Adversarial Representation Mechanism Learning for Network Embedding. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity. IJCAI (2023)
Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity. CoRR (2023)
Jiarui Yang, Chuan Wang, Zeming Liu, Jiahong Wu, Dongsheng Wang, Liang Yang, Xiaochun Cao
Focusing on Flexible Masks: A Novel Framework for Panoptic Scene Graph Generation with Relation Constraints. ACM Multimedia (2023)
Liang Yang, Weihang Peng, Wenmiao Zhou, Bingxin Niu, Junhua Gu, Chuan Wang, Yuanfang Guo, Dongxiao He, Xiaochun Cao
Difference Residual Graph Neural Networks. ACM Multimedia (2022)
Liang Yang, Lina Kang, Qiuliang Zhang, Mengzhe Li, Bingxin Niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo
OPEN: Orthogonal Propagation with Ego-Network Modeling. NeurIPS (2022)
Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He
Graph Neural Networks Beyond Compromise Between Attribute and Topology. WWW (2022)
Liang Yang, Yuanfang Guo, Junhua Gu, Di Jin, Bo Yang, Xiaochun Cao
Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model. IEEE Trans. Cybern. 52 (4) (2022)
Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing. AAAI (2022)
Di Jin, Cuiying Huo, Chundong Liang, Liang Yang
Heterogeneous Graph Neural Network via Attribute Completion. WWW (2021)
Liang Yang, Mengzhe Li, Liyang Liu, Bingxin Niu, Chuan Wang, Xiaochun Cao, Yuanfang Guo
Diverse Message Passing for Attribute with Heterophily. NeurIPS (2021)
Junfu Wang, Yunhong Wang, Zhen Yang, Liang Yang, Yuanfang Guo
Bi-GCN: Binary Graph Convolutional Network. CVPR (2021)
Liang Yang, Chuan Wang, Junhua Gu, Xiaochun Cao, Bingxin Niu
Why Do Attributes Propagate in Graph Convolutional Neural Networks? AAAI (2021)
Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo
Heterogeneous Graph Information Bottleneck. IJCAI (2021)
Liang Yang, Weixun Li, Yuanfang Guo, Junhua Gu
Graph-CAT: Graph Co-Attention Networks via local and global attribute augmentations. Future Gener. Comput. Syst. 118 (2021)
Liang Yang, Fan Wu, Junhua Gu, Chuan Wang, Xiaochun Cao, Di Jin, Yuanfang Guo
Graph Attention Topic Modeling Network. WWW (2020)
Liang Yang, Junhua Gu, Chuan Wang, Xiaochun Cao, Lu Zhai, Di Jin, Yuanfang Guo
Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport. ICDM (2020)
Chuan Wang, Huazhu Fu, Liang Yang, Xiaochun Cao
Text Co-Detection in Multi-View Scene. IEEE Trans. Image Process. 29 (2020)
Junfu Wang, Yunhong Wang, Zhen Yang, Liang Yang, Yuanfang Guo
Bi-GCN: Binary Graph Convolutional Network. CoRR (2020)
Liang Yang, Yuexue Wang, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo
JANE: Jointly Adversarial Network Embedding. IJCAI (2020)
Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu
Adversarial Mutual Information Learning for Network Embedding. IJCAI (2020)
Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi
Orderly Subspace Clustering. AAAI (2019)
Liang Yang, Zhiyang Chen, Junhua Gu, Yuanfang Guo
Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology. IJCAI (2019)
Liang Yang, Fan Wu, Yingkui Wang, Junhua Gu, Yuanfang Guo
Masked Graph Convolutional Network. IJCAI (2019)
Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo
Topology Optimization based Graph Convolutional Network. IJCAI (2019)
Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang
A Novel Generative Topic Embedding Model by Introducing Network Communities. WWW (2019)
Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai
Adversarial Capsule Learning for Network Embedding. ICTAI (2019)
Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang
Integrative Network Embedding via Deep Joint Reconstruction. IJCAI (2018)
Jinxin Cao, Di Jin, Liang Yang, Jianwu Dang
Incorporating network structure with node contents for community detection on large networks using deep learning. Neurocomputing 297 (2018)
Liang Yang, Yuanfang Guo, Xiaochun Cao
Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation. AAAI (2018)
Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces. IJCAI (2018)
Zhiyong Chen, Si Liu, Yanlong Zhai, Jia Lin, Xiaochun Cao, Liang Yang
Human parsing by weak structural label. Multim. Tools Appl. 77 (15) (2018)
Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu, Liang Yang
Multi-Component Nonnegative Matrix Factorization. IJCAI (2017)
Chuan Wang, Hua Zhang, Liang Yang, Xiaochun Cao, Hongkai Xiong
Multiple Semantic Matching on Augmented N-Partite Graph for Object Co-Segmentation. IEEE Trans. Image Process. 26 (12) (2017)
Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang
Modularity Based Community Detection with Deep Learning. IJCAI (2016)
Xiaochun Cao, Liang Yang, Xiaojie Guo
Total Variation Regularized RPCA for Irregularly Moving Object Detection Under Dynamic Background. IEEE Trans. Cybern. 46 (4) (2016)
Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang
Semantic Community Identification in Large Attribute Networks. AAAI (2016)
Liang Yang, Xiaochun Cao, Di Jin, Xiao Wang, Dan Meng
A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization. IEEE Trans. Cybern. 45 (11) (2015)
Chuan Wang, Hua Zhang, Liang Yang, Si Liu, Xiaochun Cao
Deep People Counting in Extremely Dense Crowds. ACM Multimedia (2015)
Xiaojie Guo, Xinggang Wang, Liang Yang, Xiaochun Cao, Yi Ma
Robust Foreground Detection Using Smoothness and Arbitrariness Constraints. ECCV (7) (2014)