Zeyu Cao - RankMe

42 papers A* 4C 3Journal 30Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KernelCraft: Benchmarking for Agentic Close-to-Metal Kernel Generation on Emerging Hardware. CoRR Jiayi Nie, Haoran Wu, Yao Lai, Zeyu Cao, Cheng Zhang, Binglei Lou, Erwei Wang, Jianyi Cheng, Timothy M. Jones, Robert Mullins, Rika Antonova, Yiren Zhao
2026	J	`jnl`	Notes about the linear complexity of quaternary cyclotomic sequences of order four. Inf. Process. Lett. Vladimir Edemskiy, Zeyu Cao
2025	J	`jnl`	ARIES: Autonomous Reasoning with LLMs on Interactive Thought Graph Environments. CoRR Pedro Gimenes, Zeyu Cao, Jeffrey Wong, Yiren Zhao
2025	J	`jnl`	Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization. CoRR Boyang Gu, Hongjian Zhou, Bradley Segal, Jinge Wu, Zeyu Cao, Hantao Zhong, Lei A. Clifton, Fenglin Liu, David A. Clifton
2025	J	`jnl`	Combining Contrastive Learning and Diffusion Model for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Xiaorun Li, Jinhui Li, Shuhan Chen, Zeyu Cao
2025	C	`conf`	Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification. EUC Anyu Zhang, Zeyu Cao, Haotian Wu
2025	A*	`conf`	DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image. ICLR Qingxuan Wu, Zhiyang Dou, Sirui Xu, Soshi Shimada, Chen Wang, Zhengming Yu, Yuan Liu, Cheng Lin, Zeyu Cao, Taku Komura, Vladislav Golyanik, Christian Theobalt, Wenping Wang, Lingjie Liu
2025	J	`jnl`	Diffusion-Decided Views in Contrastive Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Jinhui Li, Xiaorun Li, Shuhan Chen, Zeyu Cao
2025	J	`jnl`	DiffusionAAE: Enhancing hyperspectral image classification with conditional diffusion model and Adversarial Autoencoder. Ecol. Informatics Zeyu Cao, Jinhui Li, Xiangrui Xu
2025	J	`jnl`	EgoReAct: Egocentric Video-Driven 3D Human Reaction Generation. CoRR Libo Zhang, Zekun Li, Tianyu Li, Zeyu Cao, Rui Xu, Xiaoxiao Long, Wenjia Wang, Jingbo Wang, Yuan Liu, Wenping Wang, Daquan Zhou, Taku Komura, Zhiyang Dou
2025	J	`jnl`	Enhancing Hyperspectral Image Classification in Small Sample Settings Using Conditional Denoising Diffusion Implicit Model. IEEE Signal Process. Lett. Zeyu Cao, Shuhan Chen, Jinhui Li
2025	—	`conf`	Photon: Federated LLM Pre-Training. MLSys Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Wanru Zhao, Dongqi Cai, Zexi Li, Xinchi Qiu, Nicholas D. Lane
2025	—	`conf`	RFID Smart Sensing with Local IoT Database. RFID-TA Zeyu Cao, Zhipeng Wu, John Gray
2025	J	`jnl`	Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning. CoRR Zifeng Ding, Shenyang Huang, Zeyu Cao, Emma Kondrup, Zachary Yang, Xingyue Huang, Yuan Sui, Zhangdie Yuan, Yuqicheng Zhu, Xianglong Hu, Yuan He, Farimah Poursafaei, Michael M. Bronstein, Andreas Vlachos
2024	J	`jnl`	AutoCV: Empowering Reasoning with Automated Process Labeling via Confidence Variation. CoRR Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yingjia Wan, Yinya Huang, Zhijiang Guo
2024	A*	`conf`	AutoPSV: Automated Process-Supervised Verifier. NeurIPS Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yunlong Feng, Zhijiang Guo
2024	C	`conf`	Contrastdm: Combining Contrastive Learning and Diffusion Model for Hyperspectral Image Classification. IGARSS Jinhui Li, Jing Wang, Zeyu Cao
2024	J	`jnl`	DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image. CoRR Qingxuan Wu, Zhiyang Dou, Sirui Xu, Soshi Shimada, Chen Wang, Zhengming Yu, Yuan Liu, Cheng Lin, Zeyu Cao, Taku Komura, Vladislav Golyanik, Christian Theobalt, Wenping Wang, Lingjie Liu
2024	—	`conf`	EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation. ECCV (2) Wenyang Zhou, Zhiyang Dou, Zeyu Cao, Zhouyingcheng Liao, Jingbo Wang, Wenjia Wang, Yuan Liu, Taku Komura, Wenping Wang, Lingjie Liu
2024	J	`jnl`	Hedge Fund Portfolio Construction Using PolyModel Theory and iTransformer. CoRR Siqiao Zhao, Zhikang Dong, Zeyu Cao, Raphael Douady
2024	J	`jnl`	MotionWavelet: Human Motion Prediction via Wavelet Manifold Learning. CoRR Yuming Feng, Zhiyang Dou, Ling-Hao Chen, Yuan Liu, Tianyu Li, Jingbo Wang, Zeyu Cao, Wenping Wang, Taku Komura, Lingjie Liu
2024	J	`jnl`	Photon: Federated LLM Pre-Training. CoRR Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Dongqi Cai, Zexi Li, Wanru Zhao, Xinchi Qiu, Nicholas D. Lane
2024	—	`conf`	Residual Spatio-Temporal Attention Based Prototypical Network for Rare Arrhythmia Classification. ISBRA (3) Zeyu Cao, Fengyi Guo, Ying An, Jianxin Wang
2024	J	`jnl`	Scaling Laws for Mixed quantization in Large Language Models. CoRR Zeyu Cao, Cheng Zhang, Pedro Gimenes, Jianqiao Lu, Jianyi Cheng, Yiren Zhao
2024	J	`jnl`	The Future of Large Language Model Pre-training is Federated. CoRR Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane
2023	J	`jnl`	EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Motion Generation. CoRR Wenyang Zhou, Zhiyang Dou, Zeyu Cao, Zhouyingcheng Liao, Jingbo Wang, Wenjia Wang, Yuan Liu, Taku Komura, Wenping Wang, Lingjie Liu
2023	A*	`conf`	Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. KDD Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao
2023	J	`jnl`	Robust Hyperspectral Unmixing with Practical Learning-Based Hyperspectral Image Denoising. Remote. Sens. Risheng Huang, Xiaorun Li, Yiming Fang, Zeyu Cao, Chaoqun Xia
2023	J	`jnl`	Small Sample Building Energy Consumption Prediction Using Contrastive Transformer Networks. Sensors Wenxian Ji, Zeyu Cao, Xiaorun Li
2023	A*	`conf`	TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer. ICCV Zhiyang Dou, Qingxuan Wu, Cheng Lin, Zeyu Cao, Qiangqiang Wu, Weilin Wan, Taku Komura, Wenping Wang
2022	J	`jnl`	ALPN: Active-Learning-Based Prototypical Network for Few-Shot Hyperspectral Imagery Classification. IEEE Geosci. Remote. Sens. Lett. Xiaorun Li, Zeyu Cao, Liaoying Zhao, Jianfeng Jiang
2022	J	`jnl`	Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression. CoRR Zeyu Cao, Yuchi Ma, Zhou Zhang
2022	J	`jnl`	Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification. CoRR Haotian Wu, Anyu Zhang, Zeyu Cao
2022	—	`conf`	Deep Learning Based Thermal Stress and Deformation Analysis of Satellites. MMBD Zeyu Cao, Wei Peng, Xiaoya Zhang, Wen Yao
2022	J	`jnl`	Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites. CoRR Zeyu Cao, Wen Yao, Wei Peng, Xiaoya Zhang, Kairui Bao
2022	J	`jnl`	ROBYOL: Random-Occlusion-Based BYOL for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Jinhui Li, Xiaorun Li, Zeyu Cao, Liaoying Zhao
2022	J	`jnl`	TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer. CoRR Zhiyang Dou, Qingxuan Wu, Cheng Lin, Zeyu Cao, Qiangqiang Wu, Weilin Wan, Taku Komura, Wenping Wang
2022	J	`jnl`	Vertical Federated Linear Contextual Bandits. CoRR Zeyu Cao, Zhipeng Liang, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao, Bingzhe Wu
2021	J	`jnl`	ContrastNet: Unsupervised feature learning by autoencoder and prototypical contrastive learning for hyperspectral imagery classification. Neurocomputing Zeyu Cao, Xiaorun Li, Yueming Feng, Shuhan Chen, Chaoqun Xia, Liaoying Zhao
2020	J	`jnl`	Improving Grid-Connection Reliability and Safety of Synchronous Condensers With Start-Up Process Optimization. IEEE Access Yichao Sun, Zeyu Cao, Qi Wang, Shuzheng Wang
2020	J	`jnl`	Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification. CoRR Zeyu Cao, Xiaorun Li, Liaoying Zhao
2019	C	`conf`	Object Detection in VHR Image Using Transfer Learning with Deformable Convolution. IGARSS Zeyu Cao, Xiaorun Li, Liaoying Zhao