Zhenghua Chen

According to our database, Zhenghua Chen authored at least 147 papers between 2007 and 2024.

Collaborative distances:

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

2024

Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey.

Yuecong Xu, Haozhi Cao, Lihua Xie, Xiao-Li Li, Zhenghua Chen, Jianfei Yang

ACM Comput. Surv., December, 2024

Graph Convolutional Network With Connectivity Uncertainty for EEG-Based Emotion Recognition.

Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Zhipeng Cai, Lulu Zhao, Jianqing Li, Chengyu Liu

IEEE J. Biomed. Health Informatics, October, 2024

Reinforced Reweighting for Self-Supervised Partial Domain Adaptation.

Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen

IEEE Trans. Artif. Intell., September, 2024

LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis.

Wenjun Sun, Ruqiang Yan, Ruibing Jin, Jiawen Xu, Yuan Yang, Zhenghua Chen

IEEE Trans. Reliab., June, 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., June, 2024

Reinforced Knowledge Distillation for Time Series Regression.

Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen

IEEE Trans. Artif. Intell., June, 2024

PowerSkel: A Device-Free Framework Using CSI Signal for Human Skeleton Estimation in Power Station.

Cunyi Yin, Xiren Miao, Jing Chen, Hao Jiang, Jianfei Yang, Yunjiao Zhou, Min Wu, Zhenghua Chen

IEEE Internet Things J., June, 2024

Aligning Correlation Information for Domain Adaptation in Action Recognition.

Yuecong Xu, Haozhi Cao, Kezhi Mao, Zhenghua Chen, Lihua Xie, Jianfei Yang

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Generalizing Wireless Cross-Multiple-Factor Gesture Recognition to Unseen Domains.

Shijia Liu, Zhenghua Chen, Min Wu, Hao Wang, Bin Xing, Liangyin Chen

IEEE Trans. Mob. Comput., May, 2024

WiSR: Wireless Domain Generalization Based on Style Randomization.

Shijia Liu, Zhenghua Chen, Min Wu, Chang Liu, Liangyin Chen

IEEE Trans. Mob. Comput., May, 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, Yamin Wang, Wei Yang, Yanan Guan, Wei Liu

Remote. Sens., April, 2024

Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study.

Yuecong Xu, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, Xiaoli Li, Zhengguo Li, Qianwen Xu, Jianfei Yang

Int. J. Comput. Vis., April, 2024

Contrastive Domain Adaptation for Time-Series Via Temporal Mixup.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

IEEE Trans. Artif. Intell., March, 2024

An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction.

Ruibing Jin, Duo Zhou, Min Wu, Xiaoli Li, Zhenghua Chen

IEEE Trans. Ind. Informatics, February, 2024

Self-Supervised Autoregressive Domain Adaptation for Time Series Data.

Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Tower Masking MIM: A Self-Supervised Pretraining Method for Power Line Inspection.

Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen, Min Wu, Zhenghua Chen

IEEE Trans. Ind. Informatics, January, 2024

Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network.

Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

IEEE Trans. Artif. Intell., January, 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., January, 2024

Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

Trans. Mach. Learn. Res., 2024

Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis.

Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen

IEEE Trans. Instrum. Meas., 2024

FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis.

Wenjun Sun, Ruqiang Yan, Ruibing Jin, Rui Zhao, Zhenghua Chen

IEEE Trans. Instrum. Meas., 2024

WiCAU: Comprehensive Partial Adaptation With Uncertainty-Aware for WiFi-Based Cross-Environment Activity Recognition.

Wei Cui, Keyu Wu, Min Wu, Xiaoli Li, Zhenghua Chen

IEEE Trans. Instrum. Meas., 2024

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation.

Yucheng Wang, Peiliang Gong, Min Wu, Felix Ott, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2024

A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends.

Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2024

EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments.

Edward, Mohamed Ragab, Min Wu, Yuecong Xu, Zhenghua Chen, Abdulla Alseiari, Xiaoli Li

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

LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices.

Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen

CoRR, 2024

Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation.

Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen

CoRR, 2024

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.

Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li

CoRR, 2024

Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction.

Zhihao Wen, Yuan Fang, Pengcheng Wei, Fayao Liu, Zhenghua Chen, Min Wu

CoRR, 2024

Improve Knowledge Distillation via Label Revision and Data Selection.

Weichao Lan, Yiu-ming Cheung, Qing Xu, Buhua Liu, Zhikai Hu, Mengke Li, Zhenghua Chen

CoRR, 2024

K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data.

Yucheng Wang, Ruibing Jin, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2024

TSLANet: Rethinking Transformers for Time Series Representation Learning.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PMEMgreSQL: Embracing PostgreSQL with Persistent Memory.

Xinyuan Sun, Ji Shi, Yinjun Han, Zhenghua Chen

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Graph-Aware Contrasting for Multivariate Time-Series Classification.

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data.

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning.

Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Jianqing Li, Chengyu Liu

IEEE J. Biomed. Health Informatics, November, 2023

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling.

Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen

IEEE Trans. Knowl. Data Eng., September, 2023

Multi-Source Video Domain Adaptation With Temporal Attentive Moment Alignment Network.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhengguo Li, Zhenghua Chen

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Reinforced Adaptation Network for Partial Domain Adaptation.

Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li

IEEE Trans. Circuits Syst. Video Technol., May, 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., May, 2023

Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article].

Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong

IEEE Comput. Intell. Mag., May, 2023

Feature selection and domain adaptation for cross-machine product quality prediction.

Yu Wang, Wei Cui, Nhu Khue Vuong, Zhenghua Chen, Yu Zhou, Min Wu

J. Intell. Manuf., April, 2023

Privacy-Preserving Cross-Environment Human Activity Recognition.

Le Zhang, Wei Cui, Bing Li, Zhenghua Chen, Min Wu, Teo Sin Gee

IEEE Trans. Cybern., March, 2023

ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition.

Hongxiang Gao, Min Wu, Zhenghua Chen, Yuwen Li, Xingyao Wang, Shan An, Jianqing Li, Chengyu Liu

Neural Networks, January, 2023

Masked Autoencoders for 3D Point Cloud Self-supervised Learning.

Yatian Pang, Francis Eng Hock Tay, Li Yuan, Zhenghua Chen

World Sci. Annu. Rev. Artif. Intell., 2023

A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment.

Devki Nandan Jha, Zhenghua Chen, Shudong Liu, Min Wu, Jiahan Zhang, Graham Morgan, Rajiv Ranjan, Xiaoli Li

IEEE Trans. Sustain. Comput., 2023

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data.

Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

ACM Trans. Knowl. Discov. Data, 2023

Fault Diagnosis in Power Line Inspection Using Normalized Multihierarchy Embedding Matching.

Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen, Zhenghua Chen

IEEE Trans. Instrum. Meas., 2023

Component Detection for Power Line Inspection Using a Graph-Based Relation Guiding Network.

Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen, Min Wu, Zhenghua Chen

IEEE Trans. Ind. Informatics, 2023

A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life.

Qing Xu, Min Wu, Edwin Khoo, Zhenghua Chen, Xiaoli Li

IEEE CAA J. Autom. Sinica, 2023

SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2023

Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition.

Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Zhipeng Cai, Lulu Zhao, Jianqing Li, Chengyu Liu

CoRR, 2023

Graph Contextual Contrasting for Multivariate Time Series Classification.

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2023

Unlimited Knowledge Distillation for Action Recognition in the Dark.

Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen

CoRR, 2023

Shuffled Differentially Private Federated Learning for Time Series Data Analytics.

Chenxi Huang, Chaoyang Jiang, Zhenghua Chen

CoRR, 2023

ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning.

Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Jianqing Li, Chengyu Liu

CoRR, 2023

Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation.

Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao, Xiaoli Li, Zhenghua Chen

CoRR, 2023

Label-efficient Time Series Representation Learning: A Review.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

CoRR, 2023

Source-Free Domain Adaptation with Temporal Imputation for Time Series Data.

Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen

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

Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data.

Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection.

Yubo Hou, Tram Truong-Huu, Zhenghua Chen, Chee-Keong Kwoh, Sin G. Teo

Proceedings of the IEEE International Conference on Data Mining, 2023

Sailfish: Exploring Heterogeneous Query Acceleration on Discrete CPU-FPGA Architecture.

Xing Wei, Yaofeng Tu, Yinjun Han, Zhenghua Chen, Xuecheng Qi, Daojun Hua

Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation.

Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li

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

SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.

Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization.

Wei Cui, Le Zhang, Bing Li, Zhenghua Chen, Min Wu, Xiaoli Li, Jiawen Kang

IEEE Trans. Veh. Technol., 2022

Conditional Contrastive Domain Generalization for Fault Diagnosis.

Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li

IEEE Trans. Instrum. Meas., 2022

Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction.

Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan

IEEE Trans. Instrum. Meas., 2022

KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction.

Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu, Xiaoli Li

IEEE Trans. Ind. Electron., 2022

Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition.

Xiaoli Li, Huanhuan Chen, Thomas Ploetz, Min Wu, Zhenghua Chen

IEEE Trans. Emerg. Top. Comput. Intell., 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

Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks.

Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li

Neurocomputing, 2022

Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction.

Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li

IEEE CAA J. Autom. Sinica, 2022

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

CoRR, 2022

Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

CoRR, 2022

EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation.

Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2022

A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges.

Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong

CoRR, 2022

Learning Temporal Consistency for Source-Free Video Domain Adaptation.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen

CoRR, 2022

Cost-effective Elderly Fall Detection with Symmetry Transformer Networks.

Bing Li, Wei Cui, Yanru Chen, Joey Tianyi Zhou, Zhenghua Chen, Yuli Li, Min Wu

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation.

Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors.

Zhenghua Chen, Min Wu, Wei Cui, Chengyu Liu, Xiaoli Li

IEEE J. Biomed. Health Informatics, 2021

Decoupled Feature-Temporal CNN: Explaining Deep Learning-Based Machine Health Monitoring.

Chaoyi Zhu, Zhenghua Chen, Rui Zhao, Jinjiang Wang, Ruqiang Yan

IEEE Trans. Instrum. Meas., 2021

Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder.

Jiyan Wu, Min Wu, Zhenghua Chen, Xiaoli Li, Ruqiang Yan

IEEE Trans. Instrum. Meas., 2021

Adversarial Multiple-Target Domain Adaptation for Fault Classification.

Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li

IEEE Trans. Instrum. Meas., 2021

Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction.

Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan Sheng Foo, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li

IEEE Trans. Ind. Informatics, 2021

Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach.

Zhenghua Chen, Min Wu, Rui Zhao, Feri Guretno, Ruqiang Yan, Xiaoli Li

IEEE Trans. Ind. Electron., 2021

A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration.

Zhenghua Chen, Min Wu, Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng, Xiaoli Li

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Key Nodes Selection in Controlling Complex Networks via Convex Optimization.

Jie Ding, Changyun Wen, Guoqi Li, Zhenghua Chen

IEEE Trans. Cybern., 2021

Over-fitting suppression training strategies for deep learning-based atrial fibrillation detection.

Xiangyu Zhang, Jianqing Li, Zhipeng Cai, Li Zhang, Zhenghua Chen, Chengyu Liu

Medical Biol. Eng. Comput., 2021

Attention-based sequence to sequence model for machine remaining useful life prediction.

Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li

Neurocomputing, 2021

Deep learning for human activity recognition.

Xiaoli Li, Peilin Zhao, Min Wu, Zhenghua Chen, Le Zhang

Neurocomputing, 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

Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Rui Zhao, Zhenghua Chen

CoRR, 2021

Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan

CoRR, 2021

Deep Inertial Odometry with Accurate IMU Preintegration.

Rooholla Khorrambakht, Chris Xiaoxuan Lu, Hamed Damirchi, Zhenghua Chen, Zhengguo Li

CoRR, 2021

Device-free single-user activity recognition using diversified deep ensemble learning.

Wei Cui, Bing Li, Le Zhang, Zhenghua Chen

Appl. Soft Comput., 2021

RDMA Based Performance Optimization on Distributed Database Systems: A Case Study with GoldenX.

Yaofeng Tu, Yinjun Han, Hao Jin, Zhenghua Chen, Yanchao Zhao

Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer.

Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Reinforcement Learning Boosted Partial Domain Adaptation.

Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Time-Series Representation Learning via Temporal and Contextual Contrasting.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Zhenghua Chen, Qi Li, Kezhi Mao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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, Jie Chen

Proceedings of the IEEE International Conference on Acoustics, 2021

Two-Stream Convolution Augmented Transformer for Human Activity Recognition.

Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen, Min Wu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks.

Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li

Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021

Hierarchically Aggregated Deep Convolutional Neural Networks for Action Recognition.

Le Zhang, Jagannadan Varadarajan, Yong Pei, Zhenghua Chen

Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021

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, Xuexi Zhang

IEEE Trans. Veh. Technol., 2020

Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori.

Zhenghua Chen, Chaoyang Jiang, Shili Xiang, Jie Ding, Min Wu, Xiaoli Li

IEEE Trans. Instrum. Meas., 2020

Light Sensor Based Occupancy Estimation via Bayes Filter With Neural Networks.

Zhenghua Chen, Yanbing Yang, Chaoyang Jiang, Jie Hao, Le Zhang

IEEE Trans. Ind. Electron., 2020

WiFi Fingerprinting Indoor Localization Using Local Feature-Based Deep LSTM.

Zhenghua Chen, Han Zou, Jianfei Yang, Hao Jiang, Lihua Xie

IEEE Syst. J., 2020

WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests.

Le Zhang, Zhenghua Chen, Wei Cui, Bing Li, Cen Chen, Zhiguang Cao, Kaizhou Gao

IEEE Internet Things J., 2020

MobileDA: Toward Edge-Domain Adaptation.

Jianfei Yang, Han Zou, Shuxin Cao, Zhenghua Chen, Lihua Xie

IEEE Internet Things J., 2020

Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction.

Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li

CoRR, 2020

Optimization of Tourism Information Analysis System Based on Big Data Algorithm.

Jing Yang, Bing Zheng, Zhenghua Chen

Complex., 2020

Semi-Supervised Deep Learning Based Wireless Interference Identification for IIoT Networks.

Jiajia Huang, Min Li Huang, Peng Hui Tan, Zhenghua Chen, Sumei Sun

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Learning From Paired and Unpaired Data: Alternately Trained CycleGAN for Near Infrared Image Colorization.

Zaifeng Yang, Zhenghua Chen

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Adversarial Transfer Learning for Machine Remaining Useful Life Prediction.

Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

URFS: A User-space Raw File System based on NVMe SSD.

Yaofeng Tu, Yinjun Han, Zhenghua Chen, Zhengguang Chen, Bing Chen

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Mahalanobis Distance Based Adversarial Network for Anomaly Detection.

Yubo Hou, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Raed M. Shubair

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep learning with long short-term memory networks for classification of dementia related travel patterns.

Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Group Greedy Method for Sensor Placement.

Chaoyang Jiang, Zhenghua Chen, Rong Su, Yeng Chai Soh

IEEE Trans. Signal Process., 2019

WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM.

Zhenghua Chen, Le Zhang, Chaoyang Jiang, Zhiguang Cao, Wei Cui

IEEE Trans. Mob. Comput., 2019

A Novel Semisupervised Deep Learning Method for Human Activity Recognition.

Qingchang Zhu, Zhenghua Chen, Yeng Chai Soh

IEEE Trans. Ind. Informatics, 2019

A Novel Ensemble ELM for Human Activity Recognition Using Smartphone Sensors.

Zhenghua Chen, Chaoyang Jiang, Lihua Xie

IEEE Trans. Ind. Informatics, 2019

A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems.

Kaizhou Gao, Zhiguang Cao, Le Zhang, Zhenghua Chen, Yuyan Han, Quanke Pan

IEEE CAA J. Autom. Sinica, 2019

Hybrid coarse-fine classification for head pose estimation.

Haofan Wang, Zhenghua Chen, Yi Zhou

CoRR, 2019

A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data.

Zhenghua Chen, Min Wu, Jiyan Wu, Jie Ding, Zeng Zeng, Karl Surmacz, Xiaoli Li

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Distilling the Knowledge From Handcrafted Features for Human Activity Recognition.

Zhenghua Chen, Le Zhang, Zhiguang Cao, Jing Guo

IEEE Trans. Ind. Informatics, 2018

Building Occupancy Detection from Carbon-dioxide and Motion Sensors.

Chaoyang Jiang, Zhenghua Chen, Lih Chieh Png, Korkut Bekiroglu, Seshadhri Srinivasan, Rong Su

Proceedings of the 15th International Conference on Control, 2018

2017

Robust Human Activity Recognition Using Smartphone Sensors via CT-PCA and Online SVM.

Zhenghua Chen, Qingchang Zhu, Yeng Chai Soh, Le Zhang

IEEE Trans. Ind. Informatics, 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

Building Occupancy Estimation with Environmental Sensors via CDBLSTM.

Zhenghua Chen, Rui Zhao, Qingchang Zhu, Mustafa K. Masood, Yeng Chai Soh, Kezhi Mao

IEEE Trans. Ind. Electron., 2017

2016

Smartphone Inertial Sensor-Based Indoor Localization and Tracking With iBeacon Corrections.

Zhenghua Chen, Qingchang Zhu, Yeng Chai Soh

IEEE Trans. Ind. Informatics, 2016

Deep Learning and Its Applications to Machine Health Monitoring: A Survey.

Rui Zhao, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, Robert X. Gao

CoRR, 2016

2015

Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization.

Zhenghua Chen, Han Zou, Hao Jiang, Qingchang Zhu, Yeng Chai Soh, Lihua Xie

Sensors, 2015

Using unlabeled acoustic data with locality-constrained linear coding for energy-related activity recognition in buildings.

Qingchang Zhu, Zhenghua Chen, Yeng Chai Soh

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014

Modeling building occupancy using a novel inhomogeneous Markov chain approach.

Zhenghua Chen, Yeng Chai Soh

Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

2010

An atmospheric correction algorithm for hyperspectral imagery of lake water by Chinese satellite HJ-1A.

Hua Xu, Xingfa Gu, Qiu Yin, Li Li, Zhenghua Chen, Yuhuan Ren, Weizhen Hou, Jia Liu, Pengfei Yin

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Spectral data analysis of ground objects in Chao Lake basin.

Jia Liu, Qiu Yin, Hua Xu, Li Li, Zhenghua Chen, Yuhuan Ren, Weizhen Hou, Pengfei Yin

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Estimating chlorophyll a concentration in lake water using space-borne hyperspectral data.

Li Li, Qiu Yin, Hua Xu, Cailan Gong, Zhenghua Chen

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

A comparison of two stream approximation for the discrete ordinate method and the SOS method.

Weizhen Hou, Qiu Yin, Hua Xu, Li Li, Zhenghua Chen

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

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, Hua Xu

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

A general framework for automatic on-line replay detection in sports video.

Bo Han, Yan Yan, Zhenghua Chen, Chang Liu, Weiguo Wu

Proceedings of the 17th International Conference on Multimedia 2009, 2009

2007

Management decision-making support system of percision agriculture based on CNCS.

Qingyuan Ma, Chao Zhang, Zhenghua Chen, Zhen Yang

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Assessing value of grassland ecosystem services in Gansu Province, northwest of China.

Zhenghua Chen, Jian Wang, Qingyuan Ma, Zhen Yang

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007