Zeyu Cao

According to our database, Zeyu Cao authored at least 40 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Reasoning Compression with Mixed-Policy Distillation.

Han Yang, Mingyan Wu, Bailan He, Zeyu Cao, Sikuan Yan, Kevin Qinghong Lin, Zifeng Ding

CoRR, May, 2026

MemExplorer: Navigating the Heterogeneous Memory Design Space for Agentic Inference NPUs.

Haoran Wu, Zeyu Cao, Yao Lai, Binglei Lou, Jiayi Nie, Can Xiao, Timi Adeniran, Przemyslaw Forys, Kauser Johar, Catriona Wright, Junyi Liu, Kai Shi, Nicholas D. Lane, Rika Antonova, Jianyi Cheng, Timothy M. Jones, Aaron Zhao, Robert Mullins

CoRR, April, 2026

KernelCraft: Benchmarking for Agentic Close-to-Metal Kernel Generation on Emerging Hardware.

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

CoRR, March, 2026

Notes about the linear complexity of quaternary cyclotomic sequences of order four.

Vladimir Edemskiy, Zeyu Cao

Inf. Process. Lett., 2026

2025

EgoReAct: Egocentric Video-Driven 3D Human Reaction Generation.

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

CoRR, December, 2025

Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization.

Boyang Gu, Hongjian Zhou, Bradley Segal, Jinge Wu, Zeyu Cao, Hantao Zhong, Lei A. Clifton, Fenglin Liu, David A. Clifton

CoRR, December, 2025

Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning.

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

CoRR, September, 2025

ARIES: Autonomous Reasoning with LLMs on Interactive Thought Graph Environments.

Pedro Gimenes, Zeyu Cao, Jeffrey Wong, Yiren Zhao

CoRR, February, 2025

Enhancing Hyperspectral Image Classification in Small Sample Settings Using Conditional Denoising Diffusion Implicit Model.

Zeyu Cao, Shuhan Chen, Jinhui Li

IEEE Signal Process. Lett., 2025

Combining Contrastive Learning and Diffusion Model for Hyperspectral Image Classification.

Xiaorun Li, Jinhui Li, Shuhan Chen, Zeyu Cao

IEEE Geosci. Remote. Sens. Lett., 2025

Diffusion-Decided Views in Contrastive Learning for Hyperspectral Image Classification.

Jinhui Li, Xiaorun Li, Shuhan Chen, Zeyu Cao

IEEE Geosci. Remote. Sens. Lett., 2025

DiffusionAAE: Enhancing hyperspectral image classification with conditional diffusion model and Adversarial Autoencoder.

Zeyu Cao, Jinhui Li, Xiangrui Xu

Ecol. Informatics, 2025

RFID Smart Sensing with Local IoT Database.

Zeyu Cao, Zhipeng Wu, John Gray

Proceedings of the IEEE International Conference on RFID Technology and Applications, 2025

Photon: Federated LLM Pre-Training.

Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Wanru Zhao, Dongqi Cai, Zexi Li, Xinchi Qiu, Nicholas D. Lane

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification.

Anyu Zhang, Zeyu Cao, Haotian Wu

Proceedings of the 23rd IEEE International Conference on Embedded and Ubiquitous Computing, 2025

2024

MotionWavelet: Human Motion Prediction via Wavelet Manifold Learning.

Yuming Feng, Zhiyang Dou, Ling-Hao Chen, Yuan Liu, Tianyu Li, Jingbo Wang, Zeyu Cao, Wenping Wang, Taku Komura, Lingjie Liu

CoRR, 2024

Scaling Laws for Mixed quantization in Large Language Models.

Zeyu Cao, Cheng Zhang, Pedro Gimenes, Jianqiao Lu, Jianyi Cheng, Yiren Zhao

CoRR, 2024

Hedge Fund Portfolio Construction Using PolyModel Theory and iTransformer.

Siqiao Zhao, Zhikang Dong, Zeyu Cao, Raphael Douady

CoRR, 2024

AutoCV: Empowering Reasoning with Automated Process Labeling via Confidence Variation.

Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yingjia Wan, Yinya Huang, Zhijiang Guo

CoRR, 2024

The Future of Large Language Model Pre-training is Federated.

Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane

CoRR, 2024

AutoPSV: Automated Process-Supervised Verifier.

Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yunlong Feng, Zhijiang Guo

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Residual Spatio-Temporal Attention Based Prototypical Network for Rare Arrhythmia Classification.

Zeyu Cao, Fengyi Guo, Ying An, Jianxin Wang

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Contrastdm: Combining Contrastive Learning and Diffusion Model for Hyperspectral Image Classification.

Jinhui Li, Jing Wang, Zeyu Cao

Proceedings of the IGARSS 2024, 2024

EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation.

Wenyang Zhou, Zhiyang Dou, Zeyu Cao, Zhouyingcheng Liao, Jingbo Wang, Wenjia Wang, Yuan Liu, Taku Komura, Wenping Wang, Lingjie Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Small Sample Building Energy Consumption Prediction Using Contrastive Transformer Networks.

Wenxian Ji, Zeyu Cao, Xiaorun Li

Sensors, November, 2023

Robust Hyperspectral Unmixing with Practical Learning-Based Hyperspectral Image Denoising.

Risheng Huang, Xiaorun Li, Yiming Fang, Zeyu Cao, Chaoqun Xia

Remote. Sens., February, 2023

EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Motion Generation.

Wenyang Zhou, Zhiyang Dou, Zeyu Cao, Zhouyingcheng Liao, Jingbo Wang, Wenjia Wang, Yuan Liu, Taku Komura, Wenping Wang, Lingjie Liu

CoRR, 2023

Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation.

Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer.

Zhiyang Dou, Qingxuan Wu, Cheng Lin, Zeyu Cao, Qiangqiang Wu, Weilin Wan, Taku Komura, Wenping Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

ROBYOL: Random-Occlusion-Based BYOL for Hyperspectral Image Classification.

Jinhui Li, Xiaorun Li, Zeyu Cao, Liaoying Zhao

IEEE Geosci. Remote. Sens. Lett., 2022

ALPN: Active-Learning-Based Prototypical Network for Few-Shot Hyperspectral Imagery Classification.

Xiaorun Li, Zeyu Cao, Liaoying Zhao, Jianfeng Jiang

IEEE Geosci. Remote. Sens. Lett., 2022

Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression.

Zeyu Cao, Yuchi Ma, Zhou Zhang

CoRR, 2022

Vertical Federated Linear Contextual Bandits.

Zeyu Cao, Zhipeng Liang, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao, Bingzhe Wu

CoRR, 2022

Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites.

Zeyu Cao, Wen Yao, Wei Peng, Xiaoya Zhang, Kairui Bao

CoRR, 2022

Deep Learning Based Thermal Stress and Deformation Analysis of Satellites.

Zeyu Cao, Wei Peng, Xiaoya Zhang, Wen Yao

Proceedings of the Modern Management based on Big Data III, 2022

2021

ContrastNet: Unsupervised feature learning by autoencoder and prototypical contrastive learning for hyperspectral imagery classification.

Zeyu Cao, Xiaorun Li, Yueming Feng, Shuhan Chen, Chaoqun Xia, Liaoying Zhao

Neurocomputing, 2021

2020

Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification.

Zeyu Cao, Xiaorun Li, Liaoying Zhao

CoRR, 2020

Improving Grid-Connection Reliability and Safety of Synchronous Condensers With Start-Up Process Optimization.

Yichao Sun, Zeyu Cao, Qi Wang, Shuzheng Wang

IEEE Access, 2020

2019

Object Detection in VHR Image Using Transfer Learning with Deformable Convolution.

Zeyu Cao, Xiaorun Li, Liaoying Zhao

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019