Senior Researcher @Tencent Youtu Lab
I am a Senior Researcher at Tencent Youtu Lab as of 2018. My research interests lie in the area of computer vision and deep learning. Before joining Tencent, I recerived my M.S. degree from Xiamen University in 2018 under the supervision of Prof. Rongrong Ji. I received my B.S. degree from Zhengzhou University in 2015 under the supervision of Prof. Mingliang Xu.
Below are some of the works that represent my main research interests. Full paper list (including preprints) could be found at Google Scholar.
(* corresponding author)
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CF-ViT: A General Coarse-to-Fine Method for Vision Transformer Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023 Paper, Code |
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Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023 Paper |
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PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Rongrong Ji, Chunhua Shen. Advances in Neural Information Processing Systems (NeurIPS, Oral), 2022 Paper, Code |
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Learning Best Combination for Efficient N:M Sparsity Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji. Advances in Neural Information Processing Systems (NeurIPS), 2022 Paper, Code |
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Fine-grained Data Distribution Alignment for Post-Training Quantization Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji. European Conference on Computer Vision (ECCV), 2022 Paper, Code |
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Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji. European Conference on Computer Vision (ECCV), 2022 Paper, Code |
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Long-Tailed Class Incremental Learning Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andy Bagdanov, Ke Li, Ming-Ming Cheng. European Conference on Computer Vision (ECCV), 2022 Paper, Code |
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DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li*, Chunhua Shen. European Conference on Computer Vision (ECCV, Oral), 2022 Paper, Code |
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Efficient Decoder-free Object Detection with Transformers Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li*, Chunhua Shen. European Conference on Computer Vision (ECCV), 2022 Paper, Code |
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ARM: Any-Time Super-Resolution Method Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji. European Conference on Computer Vision (ECCV), 2022 Paper, Code |
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Self-supervised Models are Good Teaching Assistants for Vision Transformers Haiyan Wu, Yuting Gao, Yinqi Zhang, Shaohui Lin, Yuan Xie, Xing Sun, Ke Li . International Conference on Machine Learning (ICML), 2022 Paper |
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Training-free Transformer Architecture Search Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji . Computer Vision and Pattern Recognition (CVPR, Oral), 2022 Paper, Code |
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Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022 Paper, Code |
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Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J Ma, Xing Sun. Computer Vision and Pattern Recognition (CVPR), 2021 Paper, Code |
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Architecture Disentanglement for Deep Neural Networks Jie Hu, Liujuan Cao, Qixiang Ye, Tong Tong, ShengChuan Zhang, Ke Li, Feiyue Huang, Rongrong Ji, Ling Shao. International Conference on Computer Vision (ICCV, Oral), 2021 Paper, Code |
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Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion Jinpeng Wang, Yuting Gao, Ke Li, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021 Paper, Code |
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One for More: Selecting Generalizable Samples for Generalizable ReID Model Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021 Paper |
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Pruning Filter in Filter Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun. Advances in Neural Information Processing Systems (NeurIPS), 2020 Paper, Code |
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Filter Grafting for Deep Neural Networks Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Gaungming Lu. Computer Vision and Pattern Recognition (CVPR), 2020 Paper, Code |
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Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020. Paper, Code |
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Semi-Supervised Adversarial Monocular Depth Estimation Rongrong Ji, Ke Li*, Yan Wang, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, and Jiebo Luo. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019. Paper |