Chenxin Tao - RankMe

24 papers A* 11Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Inference-Time Rethinking with Latent Thought Vectors for Math Reasoning. CoRR Deqian Kong, Minglu Zhao, Aoyang Qin, Bo Pang, Chenxin Tao, David Hartmann, Edouardo Honig, Dehong Xu, Amit Kumar, Matthew Sarte, Chuan Li, Jianwen Xie, Ying Nian Wu
2025	A*	`conf`	CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning. CVPR Yang Yue, Yulin Wang, Chenxin Tao, Pan Liu, Shiji Song, Gao Huang
2025	J	`jnl`	CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning. CoRR Yang Yue, Yulin Wang, Chenxin Tao, Pan Liu, Shiji Song, Gao Huang
2025	A*	`conf`	HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding. CVPR Chenxin Tao, Shiqian Su, Xizhou Zhu, Chenyu Zhang, Zhe Chen, Jiawen Liu, Wenhai Wang, Lewei Lu, Gao Huang, Yu Qiao, Jifeng Dai
2025	J	`jnl`	MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling. CoRR MiroMind Team, Song Bai, Lidong Bing, Carson Chen, Guanzheng Chen, Yuntao Chen, Zhe Chen, Ziyi Chen, Jifeng Dai, Xuan Dong, Wenhan Dou, Yue Deng, Yunjie Fu, Junqi Ge, Chenxia Han, Tammy Huang, Zhenhang Huang, Jerry Jiao, Shilei Jiang, Tianyu Jiao, Xiaoqi Jian, Lei Lei, Ruilin Li, Ryan Luo, Tiantong Li, Xiang Lin, Ziyuan Liu, Zhiqi Li, Jie Ni, Qiang Ren, Pax Sun, Shiqian Su, Chenxin Tao, Bin Wang, Hellen Wang, Haonan Wang, James Wang, Jin Wang, Jojo Wang, Letian Wang, Shizun Wang, Weizhi Wang, Zixuan Wang, Jinfan Xu, Sen Xing, Chenyu Yang, Hai Ye, Jiaheng Yu, Yue Yu, Muyan Zhong, Tianchen Zhao, Xizhou Zhu, Yanpeng Zhou, Yifan Zhang, Zhi Zhu
2024	A*	`conf`	ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process. ICLR Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu
2024	J	`jnl`	HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding. CoRR Chenxin Tao, Shiqian Su, Xizhou Zhu, Chenyu Zhang, Zhe Chen, Jiawen Liu, Wenhai Wang, Lewei Lu, Gao Huang, Yu Qiao, Jifeng Dai
2024	A*	`conf`	Learning 1D Causal Visual Representation with De-focus Attention Networks. NeurIPS Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai
2024	J	`jnl`	Learning 1D Causal Visual Representation with De-focus Attention Networks. CoRR Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai
2023	J	`jnl`	ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process. CoRR Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu
2023	A*	`conf`	BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. CVPR Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai
2023	J	`jnl`	Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory. CoRR Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, Jifeng Dai
2023	A*	`conf`	Siamese Image Modeling for Self-Supervised Vision Representation Learning. CVPR Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie Zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai
2023	A*	`conf`	Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information. CVPR Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai
2022	J	`jnl`	BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. CoRR Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai
2022	A*	`conf`	Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. CVPR Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai
2022	J	`jnl`	Siamese Image Modeling for Self-Supervised Vision Representation Learning. CoRR Chenxin Tao, Xizhou Zhu, Gao Huang, Yu Qiao, Xiaogang Wang, Jifeng Dai
2022	J	`jnl`	Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information. CoRR Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai
2021	A*	`conf`	Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. ICLR Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai
2021	J	`jnl`	Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. CoRR Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai
2021	A*	`conf`	Searching Parameterized AP Loss for Object Detection. NeurIPS Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai
2021	J	`jnl`	Searching Parameterized AP Loss for Object Detection. CoRR Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai
2020	J	`jnl`	Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. CoRR Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai
2019	A*	`conf`	Learning Channel-Wise Interactions for Binary Convolutional Neural Networks. CVPR Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, Qi Tian