Assessing value of grassland ecosystem services in Gansu Province, northwest of China. - Zhenghua Chen; Jian Wang 032; Qingyuan Ma; Zhen Yang (IGARSS, 2007)

Management decision-making support system of percision agriculture based on CNCS. - Qingyuan Ma; Chao Zhang; Zhenghua Chen; Zhen Yang (IGARSS, 2007)

A general framework for automatic on-line replay detection in sports video. - Bo Han; Yan Yan; Zhenghua Chen; Chang Liu 087; Weiguo Wu (ACM Multimedia, 2009)

Ecosystem health assessment by using remote sensing derived data: A case study of terrestrial region along the coast in Zhejiang province. - Zhenghua Chen; Qiu Yin; Li Li 017; Hua Xu (IGARSS, 2010)

A comparison of two stream approximation for the discrete ordinate method and the SOS method. - Weizhen Hou; Qiu Yin; Hua Xu; Li Li 017; Zhenghua Chen (IGARSS, 2010)

Estimating chlorophyll a concentration in lake water using space-borne hyperspectral data. - Li Li 017; Qiu Yin; Hua Xu; Cailan Gong; Zhenghua Chen (IGARSS, 2010)

Spectral data analysis of ground objects in Chao Lake basin. - Jia Liu; Qiu Yin; Hua Xu; Li Li 017; Zhenghua Chen; Yuhuan Ren; Weizhen Hou; Pengfei Yin (IGARSS, 2010)

An atmospheric correction algorithm for hyperspectral imagery of lake water by Chinese satellite HJ-1A. - Hua Xu; Xingfa Gu; Qiu Yin; Li Li 017; Zhenghua Chen; Yuhuan Ren; Weizhen Hou; Jia Liu; Pengfei Yin (IGARSS, 2010)

Modeling building occupancy using a novel inhomogeneous Markov chain approach. - Zhenghua Chen; Yeng Chai Soh (CASE, 2014)

Using unlabeled acoustic data with locality-constrained linear coding for energy-related activity recognition in buildings. - Qingchang Zhu; Zhenghua Chen; Yeng Chai Soh (CASE, 2015)

Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization. - Zhenghua Chen; Han Zou; Hao Jiang 008; Qingchang Zhu; Yeng Chai Soh; Lihua Xie 001 (Sensors, 2015)

Deep Learning and Its Applications to Machine Health Monitoring: A Survey. - Rui Zhao 004; Ruqiang Yan 001; Zhenghua Chen; Kezhi Mao; Peng Wang 019; Robert X. Gao (CoRR, 2016)

Smartphone Inertial Sensor-Based Indoor Localization and Tracking With iBeacon Corrections. - Zhenghua Chen; Qingchang Zhu; Yeng Chai Soh (IEEE Trans. Ind. Informatics, 2016)

Building Occupancy Estimation with Environmental Sensors via CDBLSTM. - Zhenghua Chen; Rui Zhao 004; Qingchang Zhu; Mustafa K. Masood; Yeng Chai Soh; Kezhi Mao (IEEE Trans. Ind. Electron., 2017)

Environmental Sensors-Based Occupancy Estimation in Buildings via IHMM-MLR. - Zhenghua Chen; Qingchang Zhu; Mustafa K. Masood; Yeng Chai Soh (IEEE Trans. Ind. Informatics, 2017)

Robust Human Activity Recognition Using Smartphone Sensors via CT-PCA and Online SVM. - Zhenghua Chen; Qingchang Zhu; Yeng Chai Soh; Le Zhang 001 (IEEE Trans. Ind. Informatics, 2017)

Building Occupancy Detection from Carbon-dioxide and Motion Sensors. - Chaoyang Jiang; Zhenghua Chen; Lih Chieh Png; Korkut Bekiroglu; Seshadhri Srinivasan; Rong Su 001 (ICARCV, 2018)

Distilling the Knowledge From Handcrafted Features for Human Activity Recognition. - Zhenghua Chen; Le Zhang 001; Zhiguang Cao; Jing Guo (IEEE Trans. Ind. Informatics, 2018)

A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data. - Zhenghua Chen; Min Wu 008; Jiyan Wu; Jie Ding 007; Zeng Zeng; Karl Surmacz; Xiaoli Li 001 (BHI, 2019)

Hybrid coarse-fine classification for head pose estimation. - Haofan Wang; Zhenghua Chen; Yi Zhou (CoRR, 2019)

A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems. - Kaizhou Gao; Zhiguang Cao; Le Zhang 001; Zhenghua Chen; Yuyan Han; Quanke Pan (IEEE CAA J. Autom. Sinica, 2019)

A Novel Ensemble ELM for Human Activity Recognition Using Smartphone Sensors. - Zhenghua Chen; Chaoyang Jiang; Lihua Xie 001 (IEEE Trans. Ind. Informatics, 2019)

A Novel Semisupervised Deep Learning Method for Human Activity Recognition. - Qingchang Zhu; Zhenghua Chen; Yeng Chai Soh (IEEE Trans. Ind. Informatics, 2019)

WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM. - Zhenghua Chen; Le Zhang 001; Chaoyang Jiang; Zhiguang Cao; Wei Cui 002 (IEEE Trans. Mob. Comput., 2019)

Group Greedy Method for Sensor Placement. - Chaoyang Jiang; Zhenghua Chen; Rong Su 001; Yeng Chai Soh (IEEE Trans. Signal Process., 2019)

Deep learning with long short-term memory networks for classification of dementia related travel patterns. - Nhu Khue Vuong; Yong Liu 020; Syin Chan; Chiew Tong Lau; Zhenghua Chen; Min Wu 008; Xiaoli Li 001 (EMBC, 2020)

Mahalanobis Distance Based Adversarial Network for Anomaly Detection. - Yubo Hou; Zhenghua Chen; Min Wu 008; Chuan-Sheng Foo; Xiaoli Li 001; Raed M. Shubair (ICASSP, 2020)

URFS: A User-space Raw File System based on NVMe SSD. - Yaofeng Tu; Yinjun Han; Zhenghua Chen; Zhengguang Chen; Bing Chen 002 (ICPADS, 2020)

Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (ICPHM, 2020)

Learning From Paired and Unpaired Data: Alternately Trained CycleGAN for Near Infrared Image Colorization. - Zaifeng Yang; Zhenghua Chen (VCIP, 2020)

Semi-Supervised Deep Learning Based Wireless Interference Identification for IIoT Networks. - Jiajia Huang; Min Li Huang; Peng Hui Tan; Zhenghua Chen; Sumei Sun (VTC Fall, 2020)

Optimization of Tourism Information Analysis System Based on Big Data Algorithm. - Jing Yang; Bing Zheng; Zhenghua Chen (Complex., 2020)

Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (CoRR, 2020)

MobileDA: Toward Edge-Domain Adaptation. - Jianfei Yang; Han Zou; Shuxin Cao; Zhenghua Chen; Lihua Xie 001 (IEEE Internet Things J., 2020)

WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests. - Le Zhang 001; Zhenghua Chen; Wei Cui 002; Bing Li 002; Cen Chen 002; Zhiguang Cao; Kaizhou Gao (IEEE Internet Things J., 2020)

WiFi Fingerprinting Indoor Localization Using Local Feature-Based Deep LSTM. - Zhenghua Chen; Han Zou; Jianfei Yang; Hao Jiang 008; Lihua Xie 001 (IEEE Syst. J., 2020)

Light Sensor Based Occupancy Estimation via Bayes Filter With Neural Networks. - Zhenghua Chen; Yanbing Yang; Chaoyang Jiang; Jie Hao; Le Zhang 001 (IEEE Trans. Ind. Electron., 2020)

Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori. - Zhenghua Chen; Chaoyang Jiang; Shili Xiang; Jie Ding 007; Min Wu 008; Xiaoli Li 001 (IEEE Trans. Instrum. Meas., 2020)

Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation. - Zhiguang Cao; Hongliang Guo; Wen Song; Kaizhou Gao; Zhenghua Chen; Le Zhang 001; Xuexi Zhang (IEEE Trans. Veh. Technol., 2020)

Hierarchically Aggregated Deep Convolutional Neural Networks for Action Recognition. - Le Zhang 001; Jagannadan Varadarajan; Yong Pei; Zhenghua Chen (Generalization with Deep Learning, 2021)

Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks. - Nhu Khue Vuong; Yong Liu 020; Syin Chan; Chiew Tong Lau; Zhenghua Chen; Min Wu 008; Xiaoli Li 001 (Generalization with Deep Learning, 2021)

Two-Stream Convolution Augmented Transformer for Human Activity Recognition. - Bing Li 002; Wei Cui 002; Wei Wang 011; Le Zhang 001; Zhenghua Chen; Min Wu 008 (AAAI, 2021)

A Multi-Stage Progressive Learning Strategy for Covid-19 Diagnosis Using Chest Computed Tomography with Imbalanced Data. - Zaifeng Yang; Yubo Hou; Zhenghua Chen; Le Zhang 001; Jie Chen 026 (ICASSP, 2021)

Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Zhenghua Chen; Qi Li; Kezhi Mao (ICCV, 2021)

Time-Series Representation Learning via Temporal and Contextual Contrasting. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (IJCAI, 2021)

Deep Reinforcement Learning Boosted Partial Domain Adaptation. - Keyu Wu 002; Min Wu 008; Jianfei Yang; Zhenghua Chen; Zhengguo Li; Xiaoli Li 001 (IJCAI, 2021)

Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. - Yining Ma 001; Jingwen Li; Zhiguang Cao; Wen Song; Le Zhang 001; Zhenghua Chen; Jing Tang 004 (NeurIPS, 2021)

RDMA Based Performance Optimization on Distributed Database Systems: A Case Study with GoldenX. - Yaofeng Tu; Yinjun Han; Hao Jin; Zhenghua Chen; Yanchao Zhao (WASA (2), 2021)

Device-free single-user activity recognition using diversified deep ensemble learning. - Wei Cui 002; Bing Li 002; Le Zhang 001; Zhenghua Chen (Appl. Soft Comput., 2021)

Deep Inertial Odometry with Accurate IMU Preintegration. - Rooholla Khorrambakht; Chris Xiaoxuan Lu; Hamed Damirchi; Zhenghua Chen; Zhengguo Li (CoRR, 2021)

Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (CoRR, 2021)

Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Keyu Wu 002; Min Wu 008; Rui Zhao 004; Zhenghua Chen (CoRR, 2021)

Detecting the shuttlecock for a badminton robot: A YOLO based approach. - Zhiguang Cao; Tingbo Liao; Wen Song; Zhenghua Chen; Chongshou Li (Expert Syst. Appl., 2021)

Deep learning for human activity recognition. - Xiaoli Li 001; Peilin Zhao; Min Wu 008; Zhenghua Chen; Le Zhang 001 (Neurocomputing, 2021)

Attention-based sequence to sequence model for machine remaining useful life prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (Neurocomputing, 2021)

Over-fitting suppression training strategies for deep learning-based atrial fibrillation detection. - Xiangyu Zhang 008; Jianqing Li 002; Zhipeng Cai 002; Li Zhang 013; Zhenghua Chen; Chengyu Liu 001 (Medical Biol. Eng. Comput., 2021)

Key Nodes Selection in Controlling Complex Networks via Convex Optimization. - Jie Ding 007; Changyun Wen; Guoqi Li; Zhenghua Chen (IEEE Trans. Cybern., 2021)

A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration. - Zhenghua Chen; Min Wu 008; Kaizhou Gao; Jiyan Wu; Jie Ding 007; Zeng Zeng; Xiaoli Li 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach. - Zhenghua Chen; Min Wu 008; Rui Zhao 004; Feri Guretno; Ruqiang Yan 001; Xiaoli Li 001 (IEEE Trans. Ind. Electron., 2021)

Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chuan Sheng Foo; Chee Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (IEEE Trans. Ind. Informatics, 2021)

Adversarial Multiple-Target Domain Adaptation for Fault Classification. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Haoliang Li; Chee-Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (IEEE Trans. Instrum. Meas., 2021)

Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder. - Jiyan Wu; Min Wu 008; Zhenghua Chen; Xiaoli Li 001; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2021)

Decoupled Feature-Temporal CNN: Explaining Deep Learning-Based Machine Health Monitoring. - Chaoyi Zhu; Zhenghua Chen; Rui Zhao 004; Jinjiang Wang; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2021)

An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors. - Zhenghua Chen; Min Wu 008; Wei Cui 002; Chengyu Liu 001; Xiaoli Li 001 (IEEE J. Biomed. Health Informatics, 2021)

Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation. - Keyu Wu 002; Min Wu 008; Zhenghua Chen; Yuecong Xu; Xiaoli Li 001 (AAAI, 2022)

Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Keyu Wu 002; Min Wu 008; Zhenghua Chen (ECCV (34), 2022)

Cost-effective Elderly Fall Detection with Symmetry Transformer Networks. - Bing Li 002; Wei Cui 002; Yanru Chen; Joey Tianyi Zhou; Zhenghua Chen; Yuli Li; Min Wu 008 (HPCC/DSS/SmartCity/DependSys, 2022)

Learning Temporal Consistency for Source-Free Video Domain Adaptation. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Keyu Wu 002; Min Wu 008; Zhenghua Chen (CoRR, 2022)

A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges. - Zhenghua Chen; Min Wu 008; Alvin Chan; Xiaoli Li 001; Yew-Soon Ong (CoRR, 2022)

EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation. - Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2022)

Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (CoRR, 2022)

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (CoRR, 2022)

Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction. - Ruibing Jin; Min Wu 008; Keyu Wu 002; Kaizhou Gao; Zhenghua Chen; Xiaoli Li 001 (IEEE CAA J. Autom. Sinica, 2022)

Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. - Qing Xu 015; Zhenghua Chen; Mohamed Ragab 002; Chao Wang 003; Min Wu 008; Xiaoli Li 001 (Neurocomputing, 2022)

Modelling and scheduling integration of distributed production and distribution problems via black widow optimization. - Yaping Fu; Yushuang Hou; Zhenghua Chen; Xujin Pu; Kaizhou Gao; Ali Sadollah (Swarm Evol. Comput., 2022)

Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition. - Xiaoli Li 001; Huanhuan Chen; Thomas Ploetz; Min Wu 008; Zhenghua Chen (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction. - Qing Xu 015; Zhenghua Chen; Keyu Wu 002; Chao Wang 003; Min Wu 008; Xiaoli Li 001 (IEEE Trans. Ind. Electron., 2022)

Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction. - Ruibing Jin; Zhenghua Chen; Keyu Wu 002; Min Wu 008; Xiaoli Li 001; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2022)

Conditional Contrastive Domain Generalization for Fault Diagnosis. - Mohamed Ragab 002; Zhenghua Chen; Wenyu Zhang 003; Emadeldeen Eldele; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Instrum. Meas., 2022)

Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization. - Wei Cui 002; Le Zhang 001; Bing Li 002; Zhenghua Chen; Min Wu 008; Xiaoli Li 001; Jiawen Kang 001 (IEEE Trans. Veh. Technol., 2022)

SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Zhenghua Chen; Min Wu 008; Xiaoli Li 001; Lihua Xie 001 (AAAI, 2023)

Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation. - Yuecong Xu; Jianfei Yang; Yunjiao Zhou; Zhenghua Chen; Min Wu 008; Xiaoli Li 001 (ICCV, 2023)

Sailfish: Exploring Heterogeneous Query Acceleration on Discrete CPU-FPGA Architecture. - Xing Wei; Yaofeng Tu; Yinjun Han; Zhenghua Chen; Xuecheng Qi; Daojun Hua (ICDEW, 2023)

PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection. - Yubo Hou; Tram Truong Huu; Zhenghua Chen; Chee-Keong Kwoh 001; Sin G. Teo (ICDM (Workshops), 2023)

Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. - Qing Xu 015; Min Wu 008; Xiaoli Li 001; Kezhi Mao; Zhenghua Chen (IJCAI, 2023)

Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. - Mohamed Ragab 002; Emadeldeen Eldele; Min Wu 008; Chuan-Sheng Foo; Xiaoli Li 001; Zhenghua Chen (KDD, 2023)

Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation. - Xiyu Wang; Yuecong Xu; Jianfei Yang; Kezhi Mao; Xiaoli Li 001; Zhenghua Chen (CoRR, 2023)

Shuffled Differentially Private Federated Learning for Time Series Data Analytics. - Chenxi Huang; Chaoyang Jiang; Zhenghua Chen (CoRR, 2023)

Unlimited Knowledge Distillation for Action Recognition in the Dark. - Ruibing Jin; Guosheng Lin; Min Wu 008; Jie Lin 001; Zhengguo Li; Xiaoli Li 001; Zhenghua Chen (CoRR, 2023)

Graph Contextual Contrasting for Multivariate Time Series Classification. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2023)

SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2023)

A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life. - Qing Xu 015; Min Wu 008; Edwin Khoo; Zhenghua Chen; Xiaoli Li 001 (IEEE CAA J. Autom. Sinica, 2023)

Component Detection for Power Line Inspection Using a Graph-Based Relation Guiding Network. - Xinyu Liu 006; Xiren Miao; Hao Jiang 008; Jing Chen 022; Min Wu 008; Zhenghua Chen (IEEE Trans. Ind. Informatics, 2023)

Fault Diagnosis in Power Line Inspection Using Normalized Multihierarchy Embedding Matching. - Xinyu Liu 006; Xiren Miao; Hao Jiang 008; Jing Chen 022; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2023)

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. - Mohamed Ragab 002; Emadeldeen Eldele; Wee Ling Tan; Chuan-Sheng Foo; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (ACM Trans. Knowl. Discov. Data, 2023)

A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment. - Devki Nandan Jha; Zhenghua Chen; Shudong Liu 003; Min Wu 008; Jiahan Zhang; Graham Morgan; Rajiv Ranjan 001; Xiaoli Li 001 (IEEE Trans. Sustain. Comput., 2023)

SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition. - Hongxiang Gao; Min Wu 008; Zhenghua Chen; Yuwen Li 002; Xingyao Wang 001; Shan An; Jianqing Li 002; Chengyu Liu 001 (Neural Networks, 2023)

ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Privacy-Preserving Cross-Environment Human Activity Recognition. - Le Zhang 001; Wei Cui 002; Bing Li 002; Zhenghua Chen; Min Wu 008; Sin Gee Teo (IEEE Trans. Cybern., 2023)

Feature selection and domain adaptation for cross-machine product quality prediction. - Yu Wang; Wei Cui 002; Nhu Khue Vuong; Zhenghua Chen; Yu Zhou; Min Wu 008 (J. Intell. Manuf., 2023)

Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]. - Zhenghua Chen; Min Wu 008; Alvin Chan; Xiaoli Li 001; Yew-Soon Ong (IEEE Comput. Intell. Mag., 2023)

DDUC: an erasure-coded system with decoupled data updating and coding. - Yaofeng Tu; Rong Xiao; Yinjun Han; Zhenghua Chen; Hao Jin; Xuecheng Qi; Xinyuan Sun (Frontiers Inf. Technol. Electron. Eng., 2023)

Reinforced Adaptation Network for Partial Domain Adaptation. - Keyu Wu 002; Min Wu 008; Zhenghua Chen; Ruibing Jin; Wei Cui 002; Zhiguang Cao; Xiaoli Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Multi-Source Video Domain Adaptation With Temporal Attentive Moment Alignment Network. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Keyu Wu 002; Min Wu 008; Zhengguo Li; Zhenghua Chen (IEEE Trans. Circuits Syst. Video Technol., 2023)

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. - Jianan Zhou 002; Yaoxin Wu; Zhiguang Cao; Wen Song; Jie Zhang 002; Zhenghua Chen (IEEE Trans. Knowl. Data Eng., 2023)

ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning. - Hongxiang Gao; Xingyao Wang 001; Zhenghua Chen; Min Wu 008; Jianqing Li 002; Chengyu Liu 001 (IEEE J. Biomed. Health Informatics, 2023)

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (AAAI, 2024)

Graph-Aware Contrasting for Multivariate Time-Series Classification. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (AAAI, 2024)

PMEMgreSQL: Embracing PostgreSQL with Persistent Memory. - Xinyuan Sun; Ji Shi; Yinjun Han; Zhenghua Chen (APWeb/WAIM (5), 2024)

Bi-hemisphere Interaction Convolutional Neural Network for Motor Imagery Classification. - Xiaohao Lin; Emadeldeen Eldele; Zhenghua Chen; Min Wu 008; Han Wei Ng; Cuntai Guan (EMBC, 2024)

TSLANet: Rethinking Transformers for Time Series Representation Learning. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Xiaoli Li 001 (ICML, 2024)

Reinforced Cross-Domain Knowledge Distillation on Time Series Data. - Qing Xu 015; Min Wu 008; Xiaoli Li 001; Kezhi Mao; Zhenghua Chen (NeurIPS, 2024)

Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning. - Fei Zhou 008; Peng Wang 023; Lei Zhang 054; Zhenghua Chen; Wei Wei 008; Chen Ding 002; Guosheng Lin; Yanning Zhang 001 (NeurIPS, 2024)

K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data. - Yucheng Wang 001; Ruibing Jin; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2024)

Improve Knowledge Distillation via Label Revision and Data Selection. - Weichao Lan; Yiu-ming Cheung; Qing Xu 015; Buhua Liu; Zhikai Hu; Mengke Li 001; Zhenghua Chen (CoRR, 2024)

Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction. - Zhihao Wen; Yuan Fang 001; Pengcheng Wei; Fayao Liu; Zhenghua Chen; Min Wu 008 (CoRR, 2024)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Chao Jin 002; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (CoRR, 2024)

Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. - Mohamed Ragab 002; Peiliang Gong; Emadeldeen Eldele; Wenyu Zhang 003; Min Wu 008; Chuan-Sheng Foo; Daoqiang Zhang; Xiaoli Li 001; Zhenghua Chen (CoRR, 2024)

LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices. - Ruibing Jin; Qing Xu 015; Min Wu 008; Yuecong Xu; Dan Li; Xiaoli Li 001; Zhenghua Chen (CoRR, 2024)

Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives. - Yiyuan Yang; Zheshun Wu; Yong Chu; Zhenghua Chen; Zenglin Xu; Qingsong Wen (CoRR, 2024)

EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments. - Edward; Mohamed Ragab 002; Min Wu 008; Yuecong Xu; Zhenghua Chen; Abdulla Alseiari; Xiaoli Li 001 (CoRR, 2024)

A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends. - Yucheng Wang 001; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2024)

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation. - Yucheng Wang 001; Peiliang Gong; Min Wu 008; Felix Ott 001; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2024)

WiCAU: Comprehensive Partial Adaptation With Uncertainty-Aware for WiFi-Based Cross-Environment Activity Recognition. - Wei Cui 002; Keyu Wu 002; Min Wu 008; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2024)

FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis. - Wenjun Sun; Ruqiang Yan 001; Ruibing Jin; Rui Zhao 004; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2024)

Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. - Ziyan Wang; Mohamed Ragab 002; Wenmian Yang; Min Wu 008; Sinno Jialin Pan; Jie Zhang 002; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2024)

Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (Trans. Mach. Learn. Res., 2024)

Bayesian Uncertainty Calibration for Federated Time Series Analysis. - Chao Cai; Weide Liu; Xue Xia; Zhenghua Chen; Yuming Fang (IEEE Trans. Multim., 2024)

Lighter Sequential Recommendation Algorithm With Time Interval Awareness Augmentation. - Xiaoyao Zheng; Xingwang Li; Shengfei Jiang; Zhenghua Chen; Liping Sun; Qingying Yu; Liangmin Guo; Yonglong Luo (IEEE Trans. Serv. Comput., 2024)

Masked Autoencoders for 3D Point Cloud Self-supervised Learning. - Yatian Pang; Francis Eng Hock Tay; Li Yuan 007; Zhenghua Chen (World Sci. Annu. Rev. Artif. Intell., 2024)

A Deep-Learning-Based Method for Extracting an Arbitrary Number of Individual Power Lines from UAV-Mounted Laser Scanning Point Clouds. - Sha Zhu; Qiang Li; Jianwei Zhao; Chunguang Zhang; Guang Zhao; Lu Li; Zhenghua Chen; Yiping Chen (Remote. Sens., 2024)

Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network. - Yucheng Wang 001; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (IEEE Trans. Artif. Intell., 2024)

Tower Masking MIM: A Self-Supervised Pretraining Method for Power Line Inspection. - Xinyu Liu 006; Xiren Miao; Hao Jiang 008; Jing Chen 022; Min Wu 008; Zhenghua Chen (IEEE Trans. Ind. Informatics, 2024)

Self-Supervised Autoregressive Domain Adaptation for Time Series Data. - Mohamed Ragab 002; Emadeldeen Eldele; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction. - Ruibing Jin; Duo Zhou; Min Wu 008; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Ind. Informatics, 2024)

Contrastive Domain Adaptation for Time-Series Via Temporal Mixup. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Artif. Intell., 2024)

Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study. - Yuecong Xu; Haozhi Cao; Jianxiong Yin; Zhenghua Chen; Xiaoli Li 001; Zhengguo Li; Qianwen Xu 001; Jianfei Yang (Int. J. Comput. Vis., 2024)

A Texture Enhancement Method for Oceanic Internal Wave Synthetic Aperture Radar Images Based on Non-Local Mean Filtering and Texture Layer Enhancement. - Zhenghua Chen; Hongcheng Zeng 001; Yamin Wang; Wei Yang 004; Yanan Guan; Wei Liu 001 (Remote. Sens., 2024)

WiSR: Wireless Domain Generalization Based on Style Randomization. - Shijia Liu; Zhenghua Chen; Min Wu 008; Chang Liu 087; Liangyin Chen (IEEE Trans. Mob. Comput., 2024)

Generalizing Wireless Cross-Multiple-Factor Gesture Recognition to Unseen Domains. - Shijia Liu; Zhenghua Chen; Min Wu 008; Hao Wang 034; Bin Xing; Liangyin Chen (IEEE Trans. Mob. Comput., 2024)

Aligning Correlation Information for Domain Adaptation in Action Recognition. - Yuecong Xu; Haozhi Cao; Kezhi Mao; Zhenghua Chen; Lihua Xie 001; Jianfei Yang (IEEE Trans. Neural Networks Learn. Syst., 2024)

PowerSkel: A Device-Free Framework Using CSI Signal for Human Skeleton Estimation in Power Station. - Cunyi Yin; Xiren Miao; Jing Chen 022; Hao Jiang 008; Jianfei Yang; Yunjiao Zhou; Min Wu 008; Zhenghua Chen (IEEE Internet Things J., 2024)

Reinforced Knowledge Distillation for Time Series Regression. - Qing Xu 015; Keyu Wu 002; Min Wu 008; Kezhi Mao; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Artif. Intell., 2024)

Enhanced Self-Attention Mechanism for Long and Short Term Sequential Recommendation Models. - Xiaoyao Zheng; Xingwang Li; Zhenghua Chen; Liping Sun; Qingying Yu; Liangmin Guo; Yonglong Luo (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis. - Wenjun Sun; Ruqiang Yan 001; Ruibing Jin; Jiawen Xu; Yuan Yang; Zhenghua Chen (IEEE Trans. Reliab., 2024)

Reinforced Reweighting for Self-Supervised Partial Domain Adaptation. - Keyu Wu 002; Shengkai Chen; Min Wu 008; Shili Xiang; Ruibing Jin; Yuecong Xu; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Artif. Intell., 2024)

Graph Convolutional Network With Connectivity Uncertainty for EEG-Based Emotion Recognition. - Hongxiang Gao; Xingyao Wang 001; Zhenghua Chen; Min Wu 008; Zhipeng Cai 002; Lulu Zhao; Jianqing Li 002; Chengyu Liu 001 (IEEE J. Biomed. Health Informatics, 2024)

FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction With Continuous-to-Discrete Conversion. - Chao Cai; Yuming Fang; Weide Liu; Ruibing Jin; Jun Cheng 003; Zhenghua Chen (IEEE Trans. Ind. Informatics, 2024)

Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey. - Yuecong Xu; Haozhi Cao; Lihua Xie 001; Xiao-Li Li 001; Zhenghua Chen; Jianfei Yang (ACM Comput. Surv., 2024)

SEA++: Multi-Graph-Based Higher-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Label-Efficient Time Series Representation Learning: A Review. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiao-Li Li 001 (IEEE Trans. Artif. Intell., 2024)

Curriculum-Based Federated Learning for Machine Fault Diagnosis With Noisy Labels. - Wenjun Sun; Ruqiang Yan 001; Ruibing Jin; Rui Zhao 004; Zhenghua Chen (IEEE Trans. Ind. Informatics, 2024)

WiFi CSI Based Temporal Activity Detection via Dual Pyramid Network. - Zhendong Liu; Le Zhang 001; Bing Li 002; Yingjie Zhou 001; Zhenghua Chen; Ce Zhu (AAAI, 2025)

Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. - Peiliang Gong; Mohamed Ragab 002; Min Wu 008; Zhenghua Chen; Yongyi Su; Xiaoli Li 001; Daoqiang Zhang (KDD (1), 2025)

Bidirectional Segmentation-Aware Network for One-Shot Object Detection. - Wenwen Zhang; Zhenghua Chen; Yongyi Su; Zhiyu Xiang; Hangguan Shan; Eryun Liu (Neurocomputing, 2025)

Distributed policy evaluation over multi-agent network with communication delays. - Yaoyao Zhou; Gang Chen 014; Changli Pu; Keyu Wu 002; Zhenghua Chen (Neurocomputing, 2025)

RMKD: Relaxed matching knowledge distillation for short-length SSVEP-based brain-computer interfaces. - Zhen Lan; Zixing Li; Chao Yan; Xiaojia Xiang; Dengqing Tang; Min Wu 008; Zhenghua Chen (Neural Networks, 2025)

ACCNet: Adaptive cross-frequency coupling graph attention for EEG emotion recognition. - Dongyuan Tian; Yucheng Wang 001; Peiliang Gong; Zhewen Xu; Zhenghua Chen; Xiaohui Wei; Min Wu 008 (Neural Networks, 2025)

Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation. - Yubo Hou; Mohamed Ragab 002; Yucheng Wang 001; Min Wu 008; Abdulla Alseiari; Chee Keong Kwoh 001; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2025)

Process-Based Triggering and Accelerated Dual Averaging Algorithm for Dynamic Parameter Estimation. - Yaoyao Zhou; Gang Chen 014; Zhenghua Chen (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Knowledge Probabilization in Ensemble Distillation: Improving Accuracy and Uncertainty Quantification for Object Detectors. - Yang Yang 080; Chao Wang 003; Lei Gong; Min Wu 008; Zhenghua Chen; Xiang Li; Xianglan Chen; Xuehai Zhou (IEEE Trans. Artif. Intell., 2025)

Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction. - Yucheng Wang 001; Min Wu 008; Ruibing Jin; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

UniFault: A Fault Diagnosis Foundation Model from Bearing Data. - Emadeldeen Eldele; Mohamed Ragab 002; Xu Qing; Edward; Zhenghua Chen; Min Wu 008; Xiaoli Li 001; Jay Lee (CoRR, 2025)

Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization. - Peiliang Gong; Emadeldeen Eldele; Min Wu 008; Zhenghua Chen; Xiao-Li Li 001; Daoqiang Zhang (CoRR, 2025)

Density Peaks Clustering Based on Label Propagation and K-Mutual-Nearest Neighbors. - Liping Sun; Fan Huang; Xiaoyao Zheng; Liangmin Guo; Qingying Yu; Zhenghua Chen; Yonglong Luo (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Jin Chao; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)

Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation. - Peiliang Gong; Yucheng Wang 001; Min Wu 008; Zhenghua Chen; Xiaoli Li 001; Daoqiang Zhang (CoRR, 2025)

Uncertainty-Aware Self-Knowledge Distillation. - Yang Yang 080; Chao Wang 003; Lei Gong; Min Wu 008; Zhenghua Chen; Yingxue Gao; Teng Wang; Xuehai Zhou (IEEE Trans. Circuits Syst. Video Technol., 2025)

Multi-Scale CNN-Transformer Hybrid Network for Rail Fastener Defect Detection. - Jin He; Wei Wang 278; Fengmao Lv; Haonan Luo; Gexiang Zhang; Zhenghua Chen (IEEE Trans. Intell. Transp. Syst., 2025)

A Virtual-Label-Based Hierarchical Domain Adaptation Method for Time-Series Classification. - Wenmian Yang; Lizhi Cheng; Mohamed Ragab 002; Min Wu 008; Sinno Jialin Pan; Zhenghua Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)