Wang, Ge

9 publications

ICML 2024 Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li

AAAI 2024 Stratified GNN Explanations Through Sufficient Expansion Yuwen Ji, Lei Shi, Zhimeng Liu, Ge Wang

CVPR 2023 CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li

NeurIPS 2023 Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan, Stan Z. Li

JMLR 2023 Quasi-Equivalence Between Width and Depth of Neural Networks Fenglei Fan, Rongjie Lai, Ge Wang

ICLRW 2023 Variable Discretization for Self-Supervised Learning Chuang Niu, Wenjun Xia, Ge Wang

ECCV 2022 DLME: Deep Local-Flatness Manifold Embedding Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

ICML 2022 ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun Xia, Lirong Wu, Ge Wang, Jintao Chen, Stan Z. Li

ECCV 2020 GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang