Object Detection in VHR Image Using Transfer Learning with Deformable Convolution. - Zeyu Cao; Xiaorun Li; Liaoying Zhao (IGARSS, 2019)

Improving Grid-Connection Reliability and Safety of Synchronous Condensers With Start-Up Process Optimization. - Yichao Sun; Zeyu Cao; Qi Wang 029; Shuzheng Wang (IEEE Access, 2020)

Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification. - Zeyu Cao; Xiaorun Li; Liaoying Zhao (CoRR, 2020)

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)

Deep Learning Based Thermal Stress and Deformation Analysis of Satellites. - Zeyu Cao; Wei Peng 010; Xiaoya Zhang; Wen Yao (MMBD, 2022)

Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification. - Haotian Wu; Anyu Zhang; Zeyu Cao (CoRR, 2022)

Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites. - Zeyu Cao; Wen Yao; Wei Peng 010; Xiaoya Zhang; Kairui Bao (CoRR, 2022)

Vertical Federated Linear Contextual Bandits. - Zeyu Cao; Zhipeng Liang; Shu Zhang 013; Hangyu Li 002; Ouyang Wen; Yu Rong 001; Peilin Zhao; Bingzhe Wu (CoRR, 2022)

Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression. - Zeyu Cao; Yuchi Ma; Zhou Zhang 001 (CoRR, 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)

ROBYOL: Random-Occlusion-Based BYOL for Hyperspectral Image Classification. - Jinhui Li; Xiaorun Li; Zeyu Cao; Liaoying Zhao (IEEE Geosci. Remote. Sens. Lett., 2022)

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer. - Zhiyang Dou; Qingxuan Wu; Cheng Lin 001; Zeyu Cao; Qiangqiang Wu; Weilin Wan 001; Taku Komura; Wenping Wang 001 (ICCV, 2023)

Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. - Zeyu Cao; Zhipeng Liang; Bingzhe Wu; Shu Zhang 013; Hangyu Li 002; Ouyang Wen; Yu Rong 001; Peilin Zhao (KDD, 2023)

EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Motion Generation. - Wenyang Zhou; Zhiyang Dou; Zeyu Cao; Zhouyingcheng Liao; Jingbo Wang 003; Wenjia Wang; Yuan Liu 025; Taku Komura; Wenping Wang 001; Lingjie Liu (CoRR, 2023)

Robust Hyperspectral Unmixing with Practical Learning-Based Hyperspectral Image Denoising. - Risheng Huang; Xiaorun Li; Yiming Fang; Zeyu Cao; Chaoqun Xia (Remote. Sens., 2023)

Small Sample Building Energy Consumption Prediction Using Contrastive Transformer Networks. - Wenxian Ji; Zeyu Cao; Xiaorun Li (Sensors, 2023)

EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation. - Wenyang Zhou; Zhiyang Dou; Zeyu Cao; Zhouyingcheng Liao; Jingbo Wang 003; Wenjia Wang; Yuan Liu 025; Taku Komura; Wenping Wang 001; Lingjie Liu (ECCV (2), 2024)

Contrastdm: Combining Contrastive Learning and Diffusion Model for Hyperspectral Image Classification. - Jinhui Li; Jing Wang; Zeyu Cao (IGARSS, 2024)

Residual Spatio-Temporal Attention Based Prototypical Network for Rare Arrhythmia Classification. - Zeyu Cao; Fengyi Guo; Ying An; Jianxin Wang (ISBRA (3), 2024)

AutoPSV: Automated Process-Supervised Verifier. - Jianqiao Lu; Zhiyang Dou; Hongru Wang 003; Zeyu Cao; Jianbo Dai; Yunlong Feng; Zhijiang Guo (NeurIPS, 2024)

The Future of Large Language Model Pre-training is Federated. - Lorenzo Sani; Alex Iacob; Zeyu Cao; Bill Marino; Yan Gao 016; Tomás Paulik; Wanru Zhao; William F. Shen; Preslav Aleksandrov; Xinchi Qiu; Nicholas D. Lane (CoRR, 2024)

AutoCV: Empowering Reasoning with Automated Process Labeling via Confidence Variation. - Jianqiao Lu; Zhiyang Dou; Hongru Wang 003; Zeyu Cao; Jianbo Dai; Yingjia Wan; Yinya Huang; Zhijiang Guo (CoRR, 2024)

Hedge Fund Portfolio Construction Using PolyModel Theory and iTransformer. - Siqiao Zhao; Zhikang Dong; Zeyu Cao; Raphael Douady (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)

Photon: Federated LLM Pre-Training. - Lorenzo Sani; Alex Iacob; Zeyu Cao; Royson Lee; Bill Marino; Yan Gao 016; Dongqi Cai 001; Zexi Li; Wanru Zhao; Xinchi Qiu; Nicholas D. Lane (CoRR, 2024)

MotionWavelet: Human Motion Prediction via Wavelet Manifold Learning. - Yuming Feng; Zhiyang Dou; Ling-Hao Chen; Yuan Liu 025; Tianyu Li; Jingbo Wang 003; Zeyu Cao; Wenping Wang 001; Taku Komura; Lingjie Liu (CoRR, 2024)

DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image. - Qingxuan Wu; Zhiyang Dou; Sirui Xu 002; Soshi Shimada; Chen Wang 049; Zhengming Yu; Yuan Liu 025; Cheng Lin 001; Zeyu Cao; Taku Komura; Vladislav Golyanik; Christian Theobalt; et al. (ICLR, 2025)

DiffusionAAE: Enhancing hyperspectral image classification with conditional diffusion model and Adversarial Autoencoder. - Zeyu Cao; Jinhui Li; Xiangrui Xu 006 (Ecol. Informatics, 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)

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)

ARIES: Autonomous Reasoning with LLMs on Interactive Thought Graph Environments. - Pedro Gimenes; Zeyu Cao; Jeffrey Wong; Yiren Zhao (CoRR, 2025)

Notes about the linear complexity of quaternary cyclotomic sequences of order four. - Vladimir Edemskiy; Zeyu Cao (Inf. Process. Lett., 2026)