AM-LFS: AutoML for Loss Function Search. - Chuming Li; Xin Yuan; Chen Lin 003; Minghao Guo; Wei Wu 021; Junjie Yan; Wanli Ouyang (ICCV, 2019)

Online Hyper-Parameter Learning for Auto-Augmentation Strategy. - Chen Lin 003; Minghao Guo; Chuming Li; Xin Yuan; Wei Wu 021; Junjie Yan; Dahua Lin; Wanli Ouyang (ICCV, 2019)

Online Hyper-parameter Learning for Auto-Augmentation Strategy. - Chen Lin 003; Minghao Guo; Chuming Li; Wei Wu 021; Dahua Lin; Wanli Ouyang; Junjie Yan (CoRR, 2019)

AM-LFS: AutoML for Loss Function Search. - Chuming Li; Chen Lin 003; Minghao Guo; Wei Wu 021; Wanli Ouyang; Junjie Yan (CoRR, 2019)

Achieving Efficient Routing in Reconfigurable DCNs. - Zhenjie Yang; Yong Cui 001; Shihan Xiao; Xin Wang 001; Minming Li; Chuming Li; Yadong Liu (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Cost-Efficient Scheduling of Bulk Transfers in Inter-Datacenter WANs. - Zhenjie Yang; Yong Cui 001; Xin Wang 001; Yadong Liu; Minming Li; Shihan Xiao; Chuming Li (IEEE/ACM Trans. Netw., 2019)

Improving One-Shot NAS by Suppressing the Posterior Fading. - Xiang Li; Chen Lin 003; Chuming Li; Ming Sun 008; Wei Wu 021; Junjie Yan; Wanli Ouyang (CVPR, 2020)

Powering One-Shot Topological NAS with Stabilized Share-Parameter Proxy. - Ronghao Guo; Chen Lin 003; Chuming Li; Keyu Tian; Ming Sun 008; Lu Sheng; Junjie Yan (ECCV (14), 2020)

Once Quantized for All: Progressively Searching for Quantized Efficient Models. - Mingzhu Shen; Feng Liang; Chuming Li; Chen Lin 003; Ming Sun 008; Junjie Yan; Wanli Ouyang (CoRR, 2020)

Adaptive Gradient Method with Resilience and Momentum. - Jie Liu 047; Chen Lin 003; Chuming Li; Lu Sheng; Ming Sun 008; Junjie Yan; Wanli Ouyang (CoRR, 2020)

DETR for Pedestrian Detection. - Matthieu Lin; Chuming Li; Xingyuan Bu; Ming Sun 008; Chen Lin 003; Junjie Yan; Wanli Ouyang; Zhidong Deng (CoRR, 2020)

Inception Convolution With Efficient Dilation Search. - Jie Liu 047; Chuming Li; Feng Liang; Chen Lin 003; Ming Sun 008; Junjie Yan; Wanli Ouyang; Dong Xu 001 (CVPR, 2021)

BN-NAS: Neural Architecture Search with Batch Normalization. - Boyu Chen; Peixia Li; Baopu Li; Chen Lin 003; Chuming Li; Ming Sun 008; Junjie Yan; Wanli Ouyang (ICCV, 2021)

GLiT: Neural Architecture Search for Global and Local Image Transformer. - Boyu Chen; Peixia Li; Chuming Li; Baopu Li; Lei Bai 001; Chen Lin 003; Ming Sun 008; Junjie Yan; Wanli Ouyang (ICCV, 2021)

DAM: Discrepancy Alignment Metric for Face Recognition. - Jiaheng Liu; Yudong Wu; Yichao Wu; Chuming Li; Xiaolin Hu 001; Ding Liang; Mengyu Wang (ICCV, 2021)

Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. - Mingzhu Shen; Feng Liang; Ruihao Gong; Yuhang Li 001; Chuming Li; Chen Lin 003; Fengwei Yu; Junjie Yan; Wanli Ouyang (ICCV, 2021)

Residual Relaxation for Multi-view Representation Learning. - Yifei Wang 001; Zhengyang Geng; Feng Jiang; Chuming Li; Yisen Wang 001; Jiansheng Yang; Zhouchen Lin (NeurIPS, 2021)

PSViT: Better Vision Transformer via Token Pooling and Attention Sharing. - Boyu Chen; Peixia Li; Baopu Li; Chuming Li; Lei Bai 001; Chen Lin 003; Ming Sun 008; Junjie Yan; Wanli Ouyang (CoRR, 2021)

Equal Loss: A Simple Loss Function for Noise Robust Learning. - Lei Cui; Huan Peng; Yangguang Li; Chuming Li; Xingrun Xing (ICASSP, 2022)

ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency. - Chuming Li; Jie Liu 047; Yinmin Zhang; Yuhong Wei; Yazhe Niu; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (AAAI, 2023)

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. - Chuming Li; Ruonan Jia; Jie Liu 047; Yinmin Zhang; Yazhe Niu; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (ECAI, 2023)

NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space. - Jiawei Yao; Chuming Li; Keqiang Sun; Yingjie Cai; Hao Li 069; Wanli Ouyang; Hongsheng Li 001 (ICCV, 2023)

GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation. - Ming Zhang; Shenghan Zhang; Zhenjie Yang; Lekai Chen; Jinliang Zheng; Chao Yang 026; Chuming Li; Hang Zhou 009; Yazhe Niu; Yu Liu 015 (ICLR, 2023)

Masked Pretraining for Multi-Agent Decision Making. - Jie Liu 047; Yinmin Zhang; Chuming Li; Chao Yang 026; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (CoRR, 2023)

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. - Yinmin Zhang; Jie Liu 047; Chuming Li; Yazhe Niu; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (AAAI, 2024)

Swift Sampler: Efficient Learning of Sampler by 10 Parameters. - Jiawei Yao; Chuming Li; Canran Xiao (NeurIPS, 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; et al. (WACV (Workshops), 2024)

Adaptive pessimism via target Q-value for offline reinforcement learning. - Jie Liu 047; Yinmin Zhang; Chuming Li; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (Neural Networks, 2024)

MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning. - Jie Liu 047; Yinmin Zhang; Chuming Li; Zhiyuan You; Zhanhui Zhou; Chao Yang 026; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (Trans. Mach. Learn. Res., 2024)