Wang, Yongxin

9 publications

CVPR 2025 Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang, Xin Luo, Xin-Shun Xu

NeurIPS 2025 Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang, Xin Luo, Xin-Shun Xu

NeurIPS 2025 PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly Liang Ma, Jiajun Wen, Min Lin, Rongtao Xu, Xiwen Liang, Bingqian Lin, Jun Ma, Yongxin Wang, Ziming Wei, Haokun Lin, Mingfei Han, Meng Cao, Bokui Chen, Ivan Laptev, Xiaodan Liang

NeurIPS 2024 Web2Code: A Large-Scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen

ECCV 2022 PSS: Progressive Sample Selection for Open-World Visual Representation Learning Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe

ECCV 2022 Unsupervised and Semi-Supervised Bias Benchmarking in Face Recognition Alexandra Chouldechova, Siqi Deng, Yongxin Wang, Wei Xia, Pietro Perona

ICCV 2021 Learning Hierarchical Graph Neural Networks for Image Clustering Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto

ECCV 2018 Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency Eunji Chong, Nataniel Ruiz, Yongxin Wang, Yun Zhang, Agata Rozga, James M. Rehg

IJCAI 2018 SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-Shun Xu