Yang, Liang

50 publications

NeurIPS 2025 A Closer Look at Graph Transformers: Cross-Aggregation and Beyond Jiaming Zhuo, Ziyi Ma, Yintong Lu, Yuwei Liu, Kun Fu, Di Jin, Chuan Wang, Wenning Wu, Zhen Wang, Xiaochun Cao, Liang Yang

AAAI 2025 Adaptive Decision Boundary for Few-Shot Class-Incremental Learning Linhao Li, Yongzhang Tan, Siyuan Yang, Hao Cheng, Yongfeng Dong, Liang Yang

IJCAI 2025 Attribute Association Driven Multi-Task Learning for Session-Based Recommendation Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei, Di Jin

ICLR 2025 DUALFormer: Dual Graph Transformer Jiaming Zhuo, Yuwei Liu, Yintong Lu, Ziyi Ma, Kun Fu, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang

ICML 2025 Disentangled Graph Spectral Domain Adaptation Liang Yang, Xin Chen, Jiaming Zhuo, Di Jin, Chuan Wang, Xiaochun Cao, Zhen Wang, Yuanfang Guo

ICML 2025 Do We Really Need Message Passing in Brain Network Modeling? Liang Yang, Yuwei Liu, Jiaming Zhuo, Di Jin, Chuan Wang, Zhen Wang, Xiaochun Cao

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

ICCV 2025 Point Cloud Self-Supervised Learning via 3D to Multi-View Masked Learner Zhimin Chen, Xuewei Chen, Xiao Guo, Yingwei Li, Longlong Jing, Liang Yang, Bing Li

AAAI 2025 Semi-Supervised Clustering Framework for Fine-Grained Scene Graph Generation Jiarui Yang, Chuan Wang, Jun Zhang, Shuyi Wu, Jinjing Zhao, Zeming Liu, Liang Yang

IJCAI 2025 Universal Graph Self-Contrastive Learning Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin, Ziyi Ma, Yuanfang Guo, Chuan Wang, Zhen Wang

CVPR 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

NeurIPS 2024 SAM-Guided Masked Token Prediction for 3D Scene Understanding Zhimin Chen, Liang Yang, Yingwei Li, Longlong Jing, Bing Li

NeurIPS 2024 Towards Comprehensive Detection of Chinese Harmful Memes Junyu Lu, Bo Xu, Xiaokun Zhang, Hongbo Wang, Haohao Zhu, Dongyu Zhang, Liang Yang, Hongfei Lin

ICML 2024 Understanding Heterophily for Graph Neural Networks Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang

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

ICCV 2023 CVRecon: Rethinking 3D Geometric Feature Learning for Neural Reconstruction Ziyue Feng, Liang Yang, Pengsheng Guo, Bing Li

WACV 2023 Class-Level Confidence Based 3D Semi-Supervised Learning Zhimin Chen, Longlong Jing, Liang Yang, Yingwei Li, Bing Li

AAAI 2023 Deepfake Video Detection via Facial Action Dependencies Estimation Lingfeng Tan, Yunhong Wang, Junfu Wang, Liang Yang, Xunxun Chen, Yuanfang Guo

ICCV 2023 FineRecon: Depth-Aware Feed-Forward Network for Detailed 3D Reconstruction Noah Stier, Anurag Ranjan, Alex Colburn, Yajie Yan, Liang Yang, Fangchang Ma, Baptiste Angles

IJCAI 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

ICCV 2023 LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses Noah Stier, Baptiste Angles, Liang Yang, Yajie Yan, Alex Colburn, Ming Chuang

NeurIPS 2023 Self-Supervised Graph Neural Networks via Low-Rank Decomposition Liang Yang, Runjie Shi, Qiuliang Zhang, Bingxin Niu, Zhen Wang, Xiaochun Cao, Chuan Wang

ECCV 2022 Disentangling Object Motion and Occlusion for Unsupervised Multi-Frame Monocular Depth Ziyue Feng, Liang Yang, Longlong Jing, Haiyan Wang, YingLi Tian, Bing Li

WACV 2022 Fast and Explicit Neural View Synthesis Pengsheng Guo, Miguel Angel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan

NeurIPS 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

AAAI 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

CVPR 2021 Bi-GCN: Binary Graph Convolutional Network Junfu Wang, Yunhong Wang, Zhen Yang, Liang Yang, Yuanfang Guo

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

IJCAI 2021 Heterogeneous Graph Information Bottleneck Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

WACV 2021 Self-Supervised 4D Spatio-Temporal Feature Learning via Order Prediction of Sequential Point Cloud Clips Haiyan Wang, Liang Yang, Xuejian Rong, Jinglun Feng, Yingli Tian

WACV 2021 Subsurface Pipes Detection Using DNN-Based Back Projection on GPR Data Jinglun Feng, Liang Yang, Haiyan Wang, Yingli Tian, Jizhong Xiao

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

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

IJCAI 2020 JANE: Jointly Adversarial Network Embedding Liang Yang, Yuexue Wang, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

AAAI 2020 Learning from Weak-Label Data: A Deep Forest Expedition Qian-Wei Wang, Liang Yang, Yufeng Li

NeurIPS 2019 A Refined Margin Distribution Analysis for Forest Representation Learning Shen-Huan Lyu, Liang Yang, Zhi-Hua Zhou

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

IJCAI 2019 Masked Graph Convolutional Network Liang Yang, Fan Wu, Yingkui Wang, Junhua Gu, Yuanfang Guo

AAAI 2019 Orderly Subspace Clustering Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang, Kenji Yamanishi

IJCAI 2019 Refining Word Representations by Manifold Learning Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Shaowu Zhang, Xiaochao Fan

IJCAI 2019 Topology Optimization Based Graph Convolutional Network Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo

CVPRW 2019 Visual-GPS: Ego-Downward and Ambient Video Based Person Location Association Liang Yang, Hao Jiang, Zhouyuan Huo, Jizhong Xiao

IJCAI 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

IJCAI 2018 Integrative Network Embedding via Deep Joint Reconstruction Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang

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

CVPRW 2018 Semantic Metric 3D Reconstruction for Concrete Inspection Liang Yang, Bing Li, Wei Li, Biao Jiang, Jizhong Xiao

IJCAI 2017 Multi-Component Nonnegative Matrix Factorization Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu, Liang Yang

IJCAI 2016 Modularity Based Community Detection with Deep Learning Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang

AAAI 2016 Semantic Community Identification in Large Attribute Networks Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang

ECCV 2014 Robust Foreground Detection Using Smoothness and Arbitrariness Constraints Xiaojie Guo, Xinggang Wang, Liang Yang, Xiaochun Cao, Yi Ma