Sun, Yue

10 publications

CVPR 2025 MoEdit: On Learning Quantity Perception for Multi-Object Image Editing Yanfeng Li, Kahou Chan, Yue Sun, Chantong Lam, Tong Tong, Zitong Yu, Keren Fu, Xiaohong Liu, Tao Tan

IJCAI 2025 Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction Zhi Sheng, Daisy Yuan, Jingtao Ding, Qi Yan, Xi Zheng, Yue Sun, Yong Li

ICLR 2025 Wasserstein-Regularized Conformal Prediction Under General Distribution Shift Rui Xu, Chao Chen, Yue Sun, Parvathinathan Venkitasubramaniam, Sihong Xie

CVPRW 2024 Deep RAW Image Super-Resolution. a NTIRE 2024 Challenge Survey Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte, Jianxing Zhang, Jia Li, Fan Wang, Xiaopeng Li, Zikun Liu, Hyunhee Park, Sejun Song, Changho Kim, Zhijuan Huang, Hongyuan Yu, Cheng Wan, Wending Xiang, Jiamin Lin, Hang Zhong, Qiaosong Zhang, Yue Sun, Xuanwu Yin, Kunlong Zuo, Senyan Xu, Siyuan Jiang, Zhijing Sun, Jiaying Zhu, Liangyan Li, Ke Chen, Yunzhe Li, Yimo Ning, Guanhua Zhao, Jun Chen, Jinyang Yu, Kele Xu, Qisheng Xu, Yong Dou

CVPRW 2022 ResNeSt: Split-Attention Networks Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola

NeurIPS 2021 Towards Sample-Efficient Overparameterized Meta-Learning Yue Sun, Adhyyan Narang, Ibrahim Gulluk, Samet Oymak, Maryam Fazel

WACV 2020 Fine-Grained Motion Representation for Template-Free Visual Tracking Kai Shuang, Yuheng Huang, Yue Sun, Zhun Cai, Hao Guo

L4DC 2020 Finite Sample System Identification: Optimal Rates and the Role of Regularization Yue Sun, Samet Oymak, Maryam Fazel

ECML-PKDD 2020 Partial Label Learning via Subspace Representation and Global Disambiguation Yue Sun, Gengyu Lyu, Songhe Feng

NeurIPS 2019 Escaping from Saddle Points on Riemannian Manifolds Yue Sun, Nicolas Flammarion, Maryam Fazel