Cloud Computing Business Model Based on Value Net Theory. - Zhiyuan Fang; Junbin Chen; Mingzhi Yi; Zhidong Wu; Hengjuan Qian (ICEBE, 2010)

On nonparametric predictive inference for asset and European option trading in the binomial tree model. - Junbin Chen; Frank P. A. Coolen; Tahani Coolen-Maturi (J. Oper. Res. Soc., 2019)

A Transferable Capsule Network for Decoupling Compound Fault of Machinery. - Ruyi Huang; Zhen Wang; Jipu Li; Junbin Chen; Weihua Li 004 (I2MTC, 2020)

Computational model for predicting user aesthetic preference for GUI using DCNNs. - Baixi Xing; Huahao Si; Junbin Chen; Minchao Ye; Lei Shi 003 (CCF Trans. Pervasive Comput. Interact., 2021)

Multiscale Convolutional Neural Network With Feature Alignment for Bearing Fault Diagnosis. - Junbin Chen; Ruyi Huang; Kun Zhao 009; Wei Wang 303; Longcan Liu; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2021)

Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task. - Ruyi Huang; Jipu Li; Yixiao Liao; Junbin Chen; Zhen Wang; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2021)

Distributed Adaptive Multi-Task Learning Based on Partially Observed Graph Signals. - Wei Xia; Junbin Chen; Lisha Yu (IEEE Trans. Signal Inf. Process. over Networks, 2021)

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Juncheng Li 003; Shuhang Gu; Radu Timofte; Liangyu Chen 002; Xiaojie Chu; Wenqing Yu; Kai Jin; Zeqiang Wei; Sha Guo; et al. (CVPR Workshops, 2022)

Intelligent Cross-domain Fault Diagnosis For Rotating Machinery Using Multiscale Adversarial Convolutional Neural Network. - Ke Yue; Jipu Li; Junbin Chen; Weihua Li 004 (I2MTC, 2022)

Learning a Deep Structural Subspace Across Hyperspectral Scenes With Cross-Domain VAE. - Minchao Ye; Junbin Chen; Fengchao Xiong; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging. - Junbin Chen; Jipu Li; Ruyi Huang; Ke Yue; Zhuyun Chen 001; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2022)

Deep Self-Supervised Domain Adaptation Network for Fault Diagnosis of Rotating Machine With Unlabeled Data. - Jipu Li; Ruyi Huang; Junbin Chen; Jingyan Xia; Zhuyun Chen 001; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2022)

Multi-Agent Learning-Based Nearly Non-Iterative Stochastic Dynamic Transactive Energy Control of Networked Microgrids. - Zhenning Pan; Tao Yu 002; Jie Li 047; Yufeng Wu; Junbin Chen; Jidong Lu; Xiaoshun Zhang (IEEE Trans. Smart Grid, 2022)

The Diffusion Entropy Stochastic Gradient Descent Algorithm With Quasi-Optimal Combiners: Formulation and Analysis. - Wei Xia; Guoqing Xia; Junbin Chen (IEEE Trans. Signal Process., 2022)

Face Reenactment Based on Motion Field Representation. - Si Zheng; Junbin Chen; Zhijing Yang; Tianshui Chen; Yongyi Lu (BICS, 2023)

Resource-Efficient Network for Intelligent Fault Diagnosis Using Tree-Structured Parzen Estimator. - Jingkang Liang; Zhuyun Chen 001; Junbin Chen; Jipu Li; Ruyi Huang; Weihua Li 004 (ICSRS, 2023)

WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking. - Weihua Li 004; Hao Lan; Junbin Chen; Ke Feng; Ruyi Huang (IEEE Trans. Instrum. Meas., 2023)

Multiscale Wavelet Prototypical Network for Cross-Component Few-Shot Intelligent Fault Diagnosis. - Ke Yue; Jipu Li; Junbin Chen; Ruyi Huang; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2023)

A selection-pattern-aware recommendation model with colored-motif attention network. - Zhifeng Hao; Junbin Chen; Wen Wen; Biao Wu; Ruichu Cai (Neurocomputing, 2023)

Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network. - Zhuyun Chen 001; Jingyan Xia; Jipu Li; Junbin Chen; Ruyi Huang; Gang Jin; Weihua Li 004 (Adv. Eng. Informatics, 2023)

On the PMU Placement Optimization for the Detection of False Data Injection Attacks. - Wei Xia; Deming He; Junbin Chen (IEEE Syst. J., 2023)

Source-free Open-set Domain Adaptation Network for Emerging Fault Diagnosis of Planetary Gearbox. - Ke Yue; Jipu Li; Zhuyun Chen 001; Junbin Chen; Weihua Li 004 (I2MTC, 2024)

An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery. - Jipu Li; Xiaoge Zhang 001; Ke Yue; Junbin Chen; Zhuyun Chen 001; Weihua Li 004 (Expert Syst. Appl., 2024)

Adaptive Graph Modeling With Self-Training for Heterogeneous Cross-Scene Hyperspectral Image Classification. - Minchao Ye; Junbin Chen; Fengchao Xiong; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2024)

Stochastic Dynamic Power Dispatch With Human Knowledge Transfer Using Graph-GAN Assisted Inverse Reinforcement Learning. - Junbin Chen; Tao Yu 002; Zhenning Pan; Mengyue Zhang; Guanhua Lu; Kedong Zhu (IEEE Trans. Smart Grid, 2024)

Universal Source-Free Knowledge Transfer Network for Fault Diagnosis of Electromechanical System With Multimodal Signals. - Ke Yue; Jipu Li; Zhuyun Chen 001; Junbin Chen; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2025)

Consensus Algorithm-Based Two-Stage Frequency Regulation Strategy With EVs Participating as VSMs. - Xiaomei Wu; Hao Huang; Junbin Chen; Xiangrui Tong; Ning Tong; Loi Lei Lai (IEEE Trans. Smart Grid, 2025)