A GAN-Based Anomaly Detection Approach for Imbalanced Industrial Time Series. - Wenqian Jiang; Yang Hong; Beitong Zhou; Xin He 016; Cheng Cheng 010 (IEEE Access, 2019)

Artificial Intelligent Diagnosis and Monitoring in Manufacturing. - Ye Yuan 002; Guijun Ma; Cheng Cheng 010; Beitong Zhou; Huan Zhao 001; Hai-Tao Zhang; Han Ding 001 (CoRR, 2019)

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis. - Cheng Cheng 010; Beitong Zhou; Guijun Ma; Dongrui Wu; Ye Yuan 002 (CoRR, 2019)

A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series. - Wenqian Jiang; Cheng Cheng 010; Beitong Zhou; Guijun Ma; Ye Yuan 002 (CoRR, 2019)

State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model. - Pengchao Hu; Guijun Ma; Yong Zhang 020; Cheng Cheng 010; Beitong Zhou; Ye Yuan 002 (ECC, 2020)

pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization. - Beitong Zhou; Jun Liu 015; Weigao Sun; Ruijuan Chen; Claire J. Tomlin; Ye Yuan 002 (IJCAI, 2020)

Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data. - Cheng Cheng 010; Beitong Zhou; Guijun Ma; Dongrui Wu; Ye Yuan 002 (Neurocomputing, 2020)

HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint. - Beitong Zhou; Jing Lu 004; Kerui Liu; Yunlu Xu; Zhanzhan Cheng; Yi Niu (CVPR, 2023)

Intelligent Fault Diagnosis With Noisy Labels via Semisupervised Learning on Industrial Time Series. - Cheng Cheng 010; Xiaoyu Liu; Beitong Zhou; Ye Yuan 002 (IEEE Trans. Ind. Informatics, 2023)

PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning. - Xiaoyu Liu; Beitong Zhou; Cheng Cheng (CoRR, 2024)

GTINet: Global Topology-Aware Interactions for Unsupervised Point Cloud Registration. - Yinuo Jiang; Beitong Zhou; Xiaoyu Liu; Qingyi Li; Cheng Cheng 010 (IEEE Trans. Circuits Syst. Video Technol., 2024)

PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning. - Xiaoyu Liu; Beitong Zhou; Zuogong Yue; Cheng Cheng (WACV, 2025)

UI-Venus Technical Report: Building High-performance UI Agents with RFT. - Zhangxuan Gu; Zhengwen Zeng; Zhenyu Xu; Xingran Zhou; Shuheng Shen; Yunfei Liu; Beitong Zhou; Changhua Meng; Tianyu Xia; Weizhi Chen; Yue Wen; Jingya Dou; et al. (CoRR, 2025)