Chuming Li

According to our database, Chuming Li authored at least 28 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Adaptive pessimism via target Q-value for offline reinforcement learning.

Jie Liu, Yinmin Zhang, Chuming Li, Yaodong Yang, Yu Liu, Wanli Ouyang

Neural Networks, 2024

Swift Sampler: Efficient Learning of Sampler by 10 Parameters.

Jiawei Yao, Chuming Li, Canran Xiao

CoRR, 2024

Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing.

Marissa Ramirez de Chanlatte, Phillip Colella, Trevor Darrell, Alexandra Carlson, Peter H. N. de With, Huayu Deng, Shanyan Guan, James Hays, Tim Houben, Thomas Huisman, Nikita Jaipuria, Hans Johansen, Shuja Khalid, Akshay Krishnan, Chuming Li, Maxim Pisarenco, Amit Raj, Frank Rudzicz, Tim J. Schoonbeek, Sandhya Sridhar, Nathan Tseng, Fons van der Sommen, Chen Wang, Yunbo Wang, Tong Wu, Xiaokang Yang, Jiawei Yao, Derek Young, Xianling Zhang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning.

Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Masked Pretraining for Multi-Agent Decision Making.

Jie Liu, Yinmin Zhang, Chuming Li, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang

CoRR, 2023

GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation.

Ming Zhang, Shenghan Zhang, Zhenjie Yang, Lekai Chen, Jinliang Zheng, Chao Yang, Chuming Li, Hang Zhou, Yazhe Niu, Yu Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space.

Jiawei Yao, Chuming Li, Keqiang Sun, Yingjie Cai, Hao Li, Wanli Ouyang, Hongsheng Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning.

Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency.

Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Equal Loss: A Simple Loss Function for Noise Robust Learning.

Lei Cui, Huan Peng, Yangguang Li, Chuming Li, Xingrun Xing

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

PSViT: Better Vision Transformer via Token Pooling and Attention Sharing.

Boyu Chen, Peixia Li, Baopu Li, Chuming Li, Lei Bai, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang

CoRR, 2021

Residual Relaxation for Multi-view Representation Learning.

Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search.

Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DAM: Discrepancy Alignment Metric for Face Recognition.

Jiaheng Liu, Yudong Wu, Yichao Wu, Chuming Li, Xiaolin Hu, Ding Liang, Mengyu Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GLiT: Neural Architecture Search for Global and Local Image Transformer.

Boyu Chen, Peixia Li, Chuming Li, Baopu Li, Lei Bai, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BN-NAS: Neural Architecture Search with Batch Normalization.

Boyu Chen, Peixia Li, Baopu Li, Chen Lin, Chuming Li, Ming Sun, Junjie Yan, Wanli Ouyang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Inception Convolution With Efficient Dilation Search.

Jie Liu, Chuming Li, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

DETR for Pedestrian Detection.

Matthieu Lin, Chuming Li, Xingyuan Bu, Ming Sun, Chen Lin, Junjie Yan, Wanli Ouyang, Zhidong Deng

CoRR, 2020

Adaptive Gradient Method with Resilience and Momentum.

Jie Liu, Chen Lin, Chuming Li, Lu Sheng, Ming Sun, Junjie Yan, Wanli Ouyang

CoRR, 2020

Once Quantized for All: Progressively Searching for Quantized Efficient Models.

Mingzhu Shen, Feng Liang, Chuming Li, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang

CoRR, 2020

Powering One-Shot Topological NAS with Stabilized Share-Parameter Proxy.

Ronghao Guo, Chen Lin, Chuming Li, Keyu Tian, Ming Sun, Lu Sheng, Junjie Yan

Proceedings of the Computer Vision - ECCV 2020, 2020

Improving One-Shot NAS by Suppressing the Posterior Fading.

Xiang Li, Chen Lin, Chuming Li, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Cost-Efficient Scheduling of Bulk Transfers in Inter-Datacenter WANs.

Zhenjie Yang, Yong Cui, Xin Wang, Yadong Liu, Minming Li, Shihan Xiao, Chuming Li

IEEE/ACM Trans. Netw., 2019

Achieving Efficient Routing in Reconfigurable DCNs.

Zhenjie Yang, Yong Cui, Shihan Xiao, Xin Wang, Minming Li, Chuming Li, Yadong Liu

Proc. ACM Meas. Anal. Comput. Syst., 2019

AM-LFS: AutoML for Loss Function Search.

Chuming Li, Chen Lin, Minghao Guo, Wei Wu, Wanli Ouyang, Junjie Yan

CoRR, 2019

Online Hyper-parameter Learning for Auto-Augmentation Strategy.

Chen Lin, Minghao Guo, Chuming Li, Wei Wu, Dahua Lin, Wanli Ouyang, Junjie Yan

CoRR, 2019

Online Hyper-Parameter Learning for Auto-Augmentation Strategy.

Chen Lin, Minghao Guo, Chuming Li, Xin Yuan, Wei Wu, Junjie Yan, Dahua Lin, Wanli Ouyang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

AM-LFS: AutoML for Loss Function Search.

Chuming Li, Xin Yuan, Chen Lin, Minghao Guo, Wei Wu, Junjie Yan, Wanli Ouyang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019