Learning Channel-Wise Interactions for Binary Convolutional Neural Networks. - Ziwei Wang 001; Jiwen Lu; Chenxin Tao; Jie Zhou 001; Qi Tian 001 (CVPR, 2019)

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. - Hao Li 069; Chenxin Tao; Xizhou Zhu; Xiaogang Wang 001; Gao Huang 001; Jifeng Dai (ICLR, 2021)

Searching Parameterized AP Loss for Object Detection. - Chenxin Tao; Zizhang Li; Xizhou Zhu; Gao Huang 001; Yong Liu 033; Jifeng Dai (NeurIPS, 2021)

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. - Chenxin Tao; Honghui Wang; Xizhou Zhu; Jiahua Dong 002; Shiji Song; Gao Huang 001; Jifeng Dai (CVPR, 2022)

Siamese Image Modeling for Self-Supervised Vision Representation Learning. - Chenxin Tao; Xizhou Zhu; Gao Huang 001; Yu Qiao 001; Xiaogang Wang 001; Jifeng Dai (CoRR, 2022)

Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information. - Weijie Su 002; Xizhou Zhu; Chenxin Tao; Lewei Lu; Bin Li 025; Gao Huang 001; Yu Qiao 001; Xiaogang Wang 001; Jie Zhou 001; Jifeng Dai (CVPR, 2023)

Siamese Image Modeling for Self-Supervised Vision Representation Learning. - Chenxin Tao; Xizhou Zhu; Weijie Su 002; Gao Huang 001; Bin Li 025; Jie Zhou 001; Yu Qiao 001; Xiaogang Wang 001; Jifeng Dai (CVPR, 2023)

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. - Chenyu Yang; Yuntao Chen; Hao Tian 006; Chenxin Tao; Xizhou Zhu; Zhaoxiang Zhang 001; Gao Huang 001; Hongyang Li 001; Yu Qiao 001; Lewei Lu; Jie Zhou 001; Jifeng Dai (CVPR, 2023)

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory. - Xizhou Zhu; Yuntao Chen; Hao Tian 006; Chenxin Tao; Weijie Su 002; Chenyu Yang; Gao Huang 001; Bin Li 025; Lewei Lu; Xiaogang Wang 001; Yu Qiao 001; Zhaoxiang Zhang 001; et al. (CoRR, 2023)

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process. - Changyao Tian; Chenxin Tao; Jifeng Dai; Hao Li 069; Ziheng Li; Lewei Lu; Xiaogang Wang 001; Hongsheng Li 001; Gao Huang 001; Xizhou Zhu (ICLR, 2024)

Learning 1D Causal Visual Representation with De-focus Attention Networks. - Chenxin Tao; Xizhou Zhu; Shiqian Su; Lewei Lu; Changyao Tian; Xuan Luo; Gao Huang 001; Hongsheng Li 001; Yu Qiao 001; Jie Zhou 001; Jifeng Dai (NeurIPS, 2024)

HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding. - Chenxin Tao; Shiqian Su; Xizhou Zhu; Chenyu Zhang; Zhe Chen 017; Jiawen Liu; Wenhai Wang; Lewei Lu; Gao Huang 001; Yu Qiao 001; Jifeng Dai (CVPR, 2025)

CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning. - Yang Yue; Yulin Wang; Chenxin Tao; Pan Liu; Shiji Song; Gao Huang 001 (CVPR, 2025)