Chentao Cao - RankMe

26 papers A* 3Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	J-Score: Joint Distribution Learning With Score-Based Diffusion for Accelerating T1ρ Mapping. IEEE Trans. Medical Imaging Congcong Liu, Yuanyuan Liu, Chentao Cao, Jing Cheng, Qingyong Zhu, Tian Zhou, Chen Luo, Yanjie Zhu, Haifeng Wang, Zhuo-Xu Cui, Dong Liang
2025	J	`jnl`	AlphaApollo: Orchestrating Foundation Models and Professional Tools into a Self-Evolving System for Deep Agentic Reasoning. CoRR Zhanke Zhou, Chentao Cao, Xiao Feng, Xuan Li, Zongze Li, Xiangyu Lu, Jiangchao Yao, Weikai Huang, Linrui Xu, Tian Cheng, Guanyu Jiang, Yiming Zheng, Brando Miranda, Tongliang Liu, Sanmi Koyejo, Masashi Sugiyama, Bo Han
2025	J	`jnl`	From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium. CoRR Xie Yi, Zhanke Zhou, Chentao Cao, Qiyu Niu, Tongliang Liu, Bo Han
2025	A*	`conf`	From Debate to Equilibrium: Belief‑Driven Multi‑Agent LLM Reasoning via Bayesian Nash Equilibrium. ICML Xie Yi, Zhanke Zhou, Chentao Cao, Qiyu Niu, Tongliang Liu, Bo Han
2025	A*	`conf`	Noisy Test-Time Adaptation in Vision-Language Models. ICLR Chentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han
2025	J	`jnl`	Noisy Test-Time Adaptation in Vision-Language Models. CoRR Chentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han
2025	J	`jnl`	PEARL: Cascaded Self-Supervised Cross-Fusion Learning for Parallel MRI Acceleration. IEEE J. Biomed. Health Informatics Qingyong Zhu, Bei Liu, Zhuo-Xu Cui, Chentao Cao, Xiaomeng Yan, Yuanyuan Liu, Jing Cheng, Yihang Zhou, Yanjie Zhu, Haifeng Wang, Hongwu Zeng, Dong Liang
2025	J	`jnl`	Reasoned Safety Alignment: Ensuring Jailbreak Defense via Answer-Then-Check. CoRR Chentao Cao, Xiaojun Xu, Bo Han, Hang Li
2025	J	`jnl`	SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI. IEEE Trans. Medical Imaging Zhuo-Xu Cui, Chentao Cao, Yue Wang, Sen Jia, Jing Cheng, Xin Liu, Hairong Zheng, Dong Liang, Yanjie Zhu
2024	J	`jnl`	A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection. IEEE J. Biomed. Health Informatics Wenxin Wang, Zhuo-Xu Cui, Guanxun Cheng, Chentao Cao, Xi Xu, Ziwei Liu, Haifeng Wang, Yulong Qi, Dong Liang, Yanjie Zhu
2024	A*	`conf`	Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection. ICML Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han
2024	J	`jnl`	Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection. CoRR Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han
2024	J	`jnl`	High-Frequency Space Diffusion Model for Accelerated MRI. IEEE Trans. Medical Imaging Chentao Cao, Zhuo-Xu Cui, Yue Wang, Shaonan Liu, Taijin Chen, Hairong Zheng, Dong Liang, Yanjie Zhu
2024	J	`jnl`	Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion. IEEE Trans. Medical Imaging Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Haifeng Wang, Yanjie Zhu, Yihang Zhou, Jianping Zhang, Qiegen Liu, Dong Liang
2023	J	`jnl`	A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection. CoRR Wenxin Wang, Zhuo-Xu Cui, Guanxun Cheng, Chentao Cao, Xi Xu, Ziwei Liu, Haifeng Wang, Yulong Qi, Dong Liang, Yanjie Zhu
2023	J	`jnl`	Accelerating Magnetic Resonance T IEEE Trans. Medical Imaging Yuanyuan Liu, Dong Liang, Zhuo-Xu Cui, Yuxin Yang, Chentao Cao, Qingyong Zhu, Jing Cheng, Caiyun Shi, Haifeng Wang, Yanjie Zhu
2023	J	`jnl`	K-UNN: k-space interpolation with untrained neural network. Medical Image Anal. Zhuo-Xu Cui, Sen Jia, Chentao Cao, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang
2023	J	`jnl`	Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI. CoRR Zhuo-Xu Cui, Congcong Liu, Chentao Cao, Yuanyuan Liu, Jing Cheng, Qingyong Zhu, Yanjie Zhu, Haifeng Wang, Dong Liang
2023	J	`jnl`	Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation. CoRR Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Yihang Zhou, Haifeng Wang, Yanjie Zhu, Jianping Zhang, Qiegen Liu, Dong Liang
2023	J	`jnl`	SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI. CoRR Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu
2023	J	`jnl`	Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model. CoRR Taofeng Xie, Chentao Cao, Zhuoxu Cui, Yu Guo, Caiying Wu, Xuemei Wang, Qingneng Li, Zhanli Hu, Tao Sun, Ziru Sang, Yihang Zhou, Yanjie Zhu, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang
2022	J	`jnl`	Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields. CoRR Taofeng Xie, Chentao Cao, Zhuoxu Cui, Fanshi Li, Zidong Wei, Yanjie Zhu, Ye Li, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang
2022	J	`jnl`	High-Frequency Space Diffusion Models for Accelerated MRI. CoRR Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu
2022	J	`jnl`	PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging. CoRR Chentao Cao, Zhuo-Xu Cui, Qingyong Zhu, Dong Liang, Yanjie Zhu
2022	J	`jnl`	SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging. CoRR Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu
2022	J	`jnl`	Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction. CoRR Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang