Dou, Yong

20 publications

AAAI 2025 Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies Zhouyu He, Peng Qiao, Rongchun Li, Yong Dou, Yusong Tan

ICML 2025 Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning Xudong Gong, Sen Yang, Feng Dawei, Kele Xu, Bo Ding, Huaimin Wang, Yong Dou

CVPR 2025 Knowledge Memorization and Rumination for Pre-Trained Model-Based Class-Incremental Learning Zijian Gao, Wangwang Jia, Xingxing Zhang, Dulan Zhou, Kele Xu, Feng Dawei, Yong Dou, Xinjun Mao, Huaimin Wang

AAAI 2025 Maintaining Fairness in Logit-Based Knowledge Distillation for Class-Incremental Learning Zijian Gao, Shanhao Han, Xingxing Zhang, Kele Xu, Dulan Zhou, Xinjun Mao, Yong Dou, Huaimin Wang

CVPRW 2025 NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution Marcos V. Conde, Radu Timofte, Zihao Lu, Xiangyu Kong, Xiaoxia Xing, Fan Wang, Suejin Han, MinKyu Park, Tianyu Hao, Yuhong He, Ruoqi Li, Yueqi Yang, Jianyang Yu, Kele Xu, Zisheng Xu, Yong Dou, Watchara Ruangsang, Ruixuan Jiang, Senyan Xu, Siyuan Jiang, Xueyang Fu, Zheng-Jun Zha, Jiajie Lu, Xiang Yu, Minmin Yi, Yuanjia Chen, Liwen Zhang, Zijie Jin, Tianyu Zhang, Xin Lu, Yeda Chen, Dong Liu, Li Pang, Yuhang Yang, Hongzhong Wang, Xiangyong Cao, Cheng Li, Lian Liu, Wei Song, Heng Sun, Yubo Wang, Jinghua Wang, Guanlan Hong

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

NeurIPS 2022 Heterogeneous Skill Learning for Multi-Agent Tasks Yuntao Liu, Yuan Li, Xinhai Xu, Yong Dou, Donghong Liu

ECML-PKDD 2021 COVID Edge-Net: Automated COVID-19 Lung Lesion Edge Detection in Chest CT Images Kang Wang, Yang Zhao, Yong Dou, Dong Wen, Zikai Gao

CVPRW 2020 Rethinking Segmentation Guidance for Weakly Supervised Object Detection Ke Yang, Peng Zhang, Peng Qiao, Zhiyuan Wang, Huadong Dai, Tianlong Shen, Dongsheng Li, Yong Dou

IJCAI 2019 Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure Yipeng Zhang, Bo Du, Lefei Zhang, Rongchun Li, Yong Dou

IJCAI 2019 Heavy-Ball Algorithms Always Escape Saddle Points Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou

AAAI 2018 Exploring Temporal Preservation Networks for Precise Temporal Action Localization Ke Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou

IJCAI 2017 Approximate Large-Scale Multiple Kernel K-Means Using Deep Neural Network Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li

IJCAI 2017 Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification Ruochun Jin, Yong Dou, Yueqing Wang, Xin Niu

IJCAI 2017 Multiple Kernel Clustering Framework with Improved Kernels Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li

AAAI 2017 Multiple Kernel K-Means with Incomplete Kernels Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu

AAAI 2017 Optimal Neighborhood Kernel Clustering with Multiple Kernels Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin

IJCAI 2016 Multiple Kernel Clustering with Local Kernel Alignment Maximization Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu

AAAI 2016 Multiple Kernel K-Means Clustering with Matrix-Induced Regularization Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu

AAAI 2015 Absent Multiple Kernel Learning Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang