Liang Yang

According to our database, Liang Yang authored at least 60 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Modeling Information Cocoons in Networked Populations: Insights From Backgrounds and Preferences.

Ming Gu, Tian-Fang Zhao, Liang Yang, Xiaokun Wu, Wei-Neng Chen

IEEE Trans. Comput. Soc. Syst., June, 2024

Binary Graph Convolutional Network With Capacity Exploration.

Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning.

Dongxiao He, Chundong Liang, Cuiying Huo, Zhiyong Feng, Di Jin, Liang Yang, Weixiong Zhang

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Mining Multiplatform Opinions During Public Health Crisis: A Comparative Study.

Kun Sun, Tian-Fang Zhao, Xiaokun Wu, Liang Yang, Di Jin, Wei-Neng Chen

IEEE Trans. Comput. Soc. Syst., April, 2024

Adaptive Feature Learning for Unbiased Scene Graph Generation.

Jiarui Yang, Chuan Wang, Liang Yang, Yuchen Jiang, Angelina Cao

IEEE Trans. Image Process., 2024

Heterophily-aware graph attention network.

Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang

Pattern Recognit., 2024

Graph Contrastive Learning Reimagined: Exploring Universality.

Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang

Proceedings of the ACM on Web Conference 2024, 2024

GAUSS: GrAph-customized Universal Self-Supervised Learning.

Liang Yang, Weixiao Hu, Jizhong Xu, Runjie Shi, Dongxiao He, Chuan Wang, Xiaochun Cao, Zhen Wang, Bingxin Niu, Yuanfang Guo

Proceedings of the ACM on Web Conference 2024, 2024

Understanding Heterophily for Graph Neural Networks.

Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Graph Contrastive Learning via Adaptive Positive Sampling.

Jiaming Zhuo, Feiyang Qin, Can Cui, Kun Fu, Bingxin Niu, Mengzhu Wang, Yuanfang Guo, Chuan Wang, Zhen Wang, Xiaochun Cao, Liang Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding.

Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang

IEEE Trans. Big Data, December, 2023

Adversarial Representation Mechanism Learning for Network Embedding.

Dongxiao He, Tao Wang, Lu Zhai, Di Jin, Liang Yang, Yuxiao Huang, Zhiyong Feng, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2023

Graph Neural Networks without Propagation.

Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo

Proceedings of the ACM Web Conference 2023, 2023

Self-supervised Graph Neural Networks via Low-Rank Decomposition.

Liang Yang, Runjie Shi, Qiuliang Zhang, Bingxin Niu, Zhen Wang, Xiaochun Cao, Chuan Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs.

Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Yuanfang Guo, Zhen Wang, Chuan Wang, Xiaochun Cao, Liang Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing.

Liang Yang, Jiayi Wang, Tingting Zhang, Dongxiao He, Chuan Wang, Yuanfang Guo, Xiaochun Cao, Bingxin Niu, Zhen Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Focusing on Flexible Masks: A Novel Framework for Panoptic Scene Graph Generation with Relation Constraints.

Jiarui Yang, Chuan Wang, Zeming Liu, Jiahong Wu, Dongsheng Wang, Liang Yang, Xiaochun Cao

Proceedings of the 31st ACM International Conference on Multimedia, 2023

LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity.

Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Graph Reciprocal Neural Networks by Abstracting Node as Attribute.

Liang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, Zhen Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

Deepfake Video Detection via Facial Action Dependencies Estimation.

Lingfeng Tan, Yunhong Wang, Junfu Wang, Liang Yang, Xunxun Chen, Yuanfang Guo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model.

Liang Yang, Yuanfang Guo, Junhua Gu, Di Jin, Bo Yang, Xiaochun Cao

IEEE Trans. Cybern., 2022

Relation Embedding based Graph Neural Networks for Handling Heterogeneous Graph.

Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang

CoRR, 2022

Graph Neural Networks Beyond Compromise Between Attribute and Topology.

Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

OPEN: Orthogonal Propagation with Ego-Network Modeling.

Liang Yang, Lina Kang, Qiuliang Zhang, Mengzhe Li, Bingxin Niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Difference Residual Graph Neural Networks.

Liang Yang, Weihang Peng, Wenmiao Zhou, Bingxin Niu, Junhua Gu, Chuan Wang, Yuanfang Guo, Dongxiao He, Xiaochun Cao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing.

Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Graph-CAT: Graph Co-Attention Networks via local and global attribute augmentations.

Liang Yang, Weixun Li, Yuanfang Guo, Junhua Gu

Future Gener. Comput. Syst., 2021

Toward Identifying Key Gene Group in the Occurrence and Development of Lung Adenocarcinoma.

Ming Gu, Tianfang Zhao, Wei Liu, Xiaokun Wu, Liang Yang

IEEE Access, 2021

Heterogeneous Graph Neural Network via Attribute Completion.

Di Jin, Cuiying Huo, Chundong Liang, Liang Yang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Diverse Message Passing for Attribute with Heterophily.

Liang Yang, Mengzhe Li, Liyang Liu, Bingxin Niu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Heterogeneous Graph Information Bottleneck.

Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Bi-GCN: Binary Graph Convolutional Network.

Junfu Wang, Yunhong Wang, Zhen Yang, Liang Yang, Yuanfang Guo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Why Do Attributes Propagate in Graph Convolutional Neural Networks?

Liang Yang, Chuan Wang, Junhua Gu, Xiaochun Cao, Bingxin Niu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Text Co-Detection in Multi-View Scene.

Chuan Wang, Huazhu Fu, Liang Yang, Xiaochun Cao

IEEE Trans. Image Process., 2020

Graph Attention Topic Modeling Network.

Liang Yang, Fan Wu, Junhua Gu, Chuan Wang, Xiaochun Cao, Di Jin, Yuanfang Guo

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Discrete Resource Allocation in Epidemic Control with Heuristic Majority-Voting Particle Swarm Optimization.

Tianfang Zhao, Wei-Neng Chen, Xiaokun Wu, Liang Yang, Qiang Yang

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Adversarial Mutual Information Learning for Network Embedding.

Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

JANE: Jointly Adversarial Network Embedding.

Liang Yang, Yuexue Wang, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport.

Liang Yang, Junhua Gu, Chuan Wang, Xiaochun Cao, Lu Zhai, Di Jin, Yuanfang Guo

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

A Novel Generative Topic Embedding Model by Introducing Network Communities.

Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang

Proceedings of the World Wide Web Conference, 2019

Masked Graph Convolutional Network.

Liang Yang, Fan Wu, Yingkui Wang, Junhua Gu, Yuanfang Guo

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Topology Optimization based Graph Convolutional Network.

Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology.

Liang Yang, Zhiyang Chen, Junhua Gu, Yuanfang Guo

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Capsule Learning for Network Embedding.

Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Orderly Subspace Clustering.

Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Human parsing by weak structural label.

Zhiyong Chen, Si Liu, Yanlong Zhai, Jia Lin, Xiaochun Cao, Liang Yang

Multim. Tools Appl., 2018

Incorporating network structure with node contents for community detection on large networks using deep learning.

Jinxin Cao, Di Jin, Liang Yang, Jianwu Dang

Neurocomputing, 2018

Integrative Network Embedding via Deep Joint Reconstruction.

Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces.

Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation.

Liang Yang, Yuanfang Guo, Xiaochun Cao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multiple Semantic Matching on Augmented N-Partite Graph for Object Co-Segmentation.

Chuan Wang, Hua Zhang, Liang Yang, Xiaochun Cao, Hongkai Xiong

IEEE Trans. Image Process., 2017

Multi-Component Nonnegative Matrix Factorization.

Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu, Liang Yang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Total Variation Regularized RPCA for Irregularly Moving Object Detection Under Dynamic Background.

Xiaochun Cao, Liang Yang, Xiaojie Guo

IEEE Trans. Cybern., 2016

A fast space-saving algorithm for maximal co-location pattern mining.

Xiaojing Yao, Ling Peng, Liang Yang, Tianhe Chi

Expert Syst. Appl., 2016

Modularity Based Community Detection with Deep Learning.

Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Semantic Community Identification in Large Attribute Networks.

Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization.

Liang Yang, Xiaochun Cao, Di Jin, Xiao Wang, Dan Meng

IEEE Trans. Cybern., 2015

Deep People Counting in Extremely Dense Crowds.

Chuan Wang, Hua Zhang, Liang Yang, Si Liu, Xiaochun Cao

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

An Approach for Mitigating Potential Threats in Practical SSO Systems.

Menghao Li, Liang Yang, Zimu Yuan, Rui Zhang, Rui Xue

Proceedings of the Information Security and Cryptology - 11th International Conference, 2015

2014

Robust Foreground Detection Using Smoothness and Arbitrariness Constraints.

Xiaojie Guo, Xinggang Wang, Liang Yang, Xiaochun Cao, Yi Ma

Proceedings of the Computer Vision - ECCV 2014, 2014