Divisible Load Scheduling on Arbitrary Distributed Networks via Virtual Routing Approach. - Zeng Zeng; Bharadwaj Veeravalli (ICPADS, 2004)

Rate-Based and Queue-Based Dynamic Load Balancing Algorithms in Distributed Systems. - Zeng Zeng; Bharadwaj Veeravalli (ICPADS, 2004)

Design and analysis of a non-preemptive decentralized load balancing algorithm for multi-class jobs in distributed networks. - Zeng Zeng; Bharadwaj Veeravalli (Comput. Commun., 2004)

Network-based Caching Algorithms for Reservation-based Multimedia Systems. - Bharadwaj Veeravalli; Zeng Zeng; Neeraj Gupta; Guoguang Jia (GCC, 2006)

A Replica-Conscious Load Balancing Strategy for Large-Scale Multimedia Storage Systems. - Zeng Zeng; Bharadwaj Veeravalli (GLOBECOM, 2006)

Design and Performance Evaluation of Fail-over and Recovery Strategies for Large-Scale Multimedia Storage Systems. - Zeng Zeng; Bharadwaj Veeravalli; Jaideep Srivastava (ICON, 2006)

Distributed scheduling strategy for divisible loads on arbitrarily configured distributed networks using load balancing via virtual routing. - Zeng Zeng; Bharadwaj Veeravalli (J. Parallel Distributed Comput., 2006)

Design and Performance Evaluation of Queue-and-Rate-Adjustment Dynamic Load Balancing Policies for Distributed Networks. - Zeng Zeng; Bharadwaj Veeravalli (IEEE Trans. Computers, 2006)

Hk/T: A Novel Server-Side Web Caching Strategy for Multimedia Applications. - Zeng Zeng; Bharadwaj Veeravalli (ICC, 2008)

On the Design of Distributed Object Placement and Load Balancing Strategies in Large-Scale Networked Multimedia Storage Systems. - Zeng Zeng; Bharadwaj Veeravalli (IEEE Trans. Knowl. Data Eng., 2008)

Large-Scale Object-Based Multimedia Storage Systems. - Bharadwaj Veeravalli; Zeng Zeng (Encyclopedia of Multimedia, 2008)

A novel distributed architecture of large-scale multimedia storage system using autonomous object-based storage devices. - Zeng Zeng; Bharadwaj Veeravalli (J. Parallel Distributed Comput., 2009)

A novel server-side proxy caching strategy for large-scale multimedia applications. - Zeng Zeng; Bharadwaj Veeravalli; Kenli Li 001 (J. Parallel Distributed Comput., 2011)

A Novel Security-Driven Scheduling Algorithm for Precedence-Constrained Tasks in Heterogeneous Distributed Systems. - Xiaoyong Tang; Kenli Li 001; Zeng Zeng; Bharadwaj Veeravalli (IEEE Trans. Computers, 2011)

An energy-efficient interface for resonant sensors based on ring-down measurement. - Michiel A. P. Pertijs; Zeng Zeng; Devrez M. Karabacak; Mercedes Crego Calama; Sywert H. Brongersma (ISCAS, 2012)

Do More Replicas of Object Data Improve the Performance of Cloud Data Centers? - Zeng Zeng; Bharadwaj Veeravalli (UCC, 2012)

Optimal metadata replications and request balancing strategy on cloud data centers. - Zeng Zeng; Bharadwaj Veeravalli (J. Parallel Distributed Comput., 2014)

A 1.5 mW 68 dB SNDR 80 Ms/s 2 × Interleaved Pipelined SAR ADC in 28 nm CMOS. - Frank M. L. van der Goes; Christopher M. Ward; Santosh Astgimath; Han Yan; Jeff Riley; Zeng Zeng; Jan Mulder; Sijia Wang; Klaas Bult (IEEE J. Solid State Circuits, 2014)

Holistic Scheduling of Real-Time Applications in Time-Triggered In-Vehicle Networks. - Menglan Hu; Jun Luo 001; Yang Wang 006; Martin Lukasiewycz; Zeng Zeng (IEEE Trans. Ind. Informatics, 2014)

Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds. - Zeng Zeng; Tram Truong Huu; Bharadwaj Veeravalli; Chen-Khong Tham (Clust. Comput., 2016)

Cloud-of-clouds based resource provisioning strategy for continuous write applications. - Zeng Zeng; Bharadwaj Veeravalli; Samee U. Khan; Sin G. Teo (APCC, 2017)

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. - Kingsley Kuan; Mathieu Ravaut; Gaurav Manek; Huiling Chen; Jie Lin 001; Babar Nazir; Cen Chen; Tse Chiang Howe; Zeng Zeng; Vijay Chandrasekhar 001 (CoRR, 2017)

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. - Zhe Wang 019; Kingsley Kuan; Mathieu Ravaut; Gaurav Manek; Sibo Song; Fang Yuan; Kim Seokhwan; Nancy F. Chen; Luis Fernando D'Haro; Anh Tuan Luu; Hongyuan Zhu; Zeng Zeng; et al. (CoRR, 2017)

A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification. - XuLei Yang; Zeng Zeng; Si Yong Yeo; Colin Tan; Hong Liang Tey; Yi Su 001 (CoRR, 2017)

End-to-End Video Classification with Knowledge Graphs. - Fang Yuan; Zhe Wang 019; Jie Lin 001; Luis Fernando D'Haro; Jung-Jae Kim 001; Zeng Zeng; Vijay Chandrasekhar 001 (CoRR, 2017)

Deep convolutional neural networks for automatic segmentation of left ventricle cavity from cardiac magnetic resonance images. - XuLei Yang; Zeng Zeng; Yi Su 001 (IET Comput. Vis., 2017)

Automated Classification Using End-to-End Deep Learning. - Shobhit Sandeep Jaipurkar; Jie Wang 042; Zeng Zeng; Sin Gee Teo; Bharadwaj Veeravalli; Matthew Chua 001 (EMBC, 2018)

Computational Platform Based on Deep Learning for Segmenting Ventricular Endocardium in Long-axis Cardiac MR Imaging. - Shuang Leng; Xulei Yang; Xiaodan Zhao; Zeng Zeng; Yi Su 001; Angela S. Koh; David Sim; Ju Le Tan; Ru-San Tan; Liang Zhong 001 (EMBC, 2018)

CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning. - Qiwen Que; Ze Tang; Ruoshi Wang; Zeng Zeng; Jie Wang 042; Matthew Chua 001; Sin Gee Teo; Xulei Yang; Bharadwaj Veeravalli (EMBC, 2018)

Skin Lesion Analysis By Multi-Target Deep Neural Networks. - Xulei Yang; Hangxing Li; Li Wang 057; Si Yong Yeo; Yi Su 001; Zeng Zeng (EMBC, 2018)

Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. - Cen Chen 002; Kenli Li 001; Sin G. Teo; Guizi Chen; Xiaofeng Zou; Xulei Yang; Ramaseshan C. Vijay; Jiashi Feng; Zeng Zeng (ICDM, 2018)

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. - Xulei Yang; Zeng Zeng; Sin G. Teo; Li Wang 057; Vijay Chandrasekhar 001; Steven C. H. Hoi (KDD, 2018)

An intelligent system for taxi service: Analysis, prediction and visualization. - Yu Lu 003; Zeng Zeng; Huayu Wu 001; Gim Guan Chua; Jingjing Zhang (AI Commun., 2018)

Graph Convolutional Neural Networks for Polymers Property Prediction. - Minggang Zeng; Jatin Nitin Kumar; Zeng Zeng; Ramasamy Savitha; Vijay Ramaseshan Chandrasekhar; Kedar Hippalgaonkar (CoRR, 2018)

Multi-target deep neural networks: Theoretical analysis and implementation. - Zeng Zeng; Nanying Liang; XuLei Yang; Steven C. H. Hoi (Neurocomputing, 2018)

GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. - Cen Chen 002; Kenli Li 001; Aijia Ouyang; Zeng Zeng; Keqin Li 001 (IEEE Trans. Parallel Distributed Syst., 2018)

Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. - Cen Chen 002; Kenli Li 001; Sin G. Teo; Xiaofeng Zou; Kang Wang; Jie Wang 042; Zeng Zeng (AAAI, 2019)

ResHNet: Spectrograms Based Efficient Heart Sounds Classification Using Stacked Residual Networks. - Akshaya Balamurugan; Sin G. Teo; Jianxi Yang; Zhongbo Peng; Xulei Yang; Zeng Zeng (BHI, 2019)

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)

3D Inception U-Net for Aorta Segmentation using Computed Tomography Cardiac Angiography. - Savitha Rani Ravichandran; Balaji Nataraj; Su Huang; Zhiliang Qin; Zhongkang Lu; Akie Katsuki; Weimin Huang 002; Zeng Zeng (BHI, 2019)

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. - Ziyuan Zhao; Xiaoman Zhang; Cen Chen 001; Wei Li; Songyou Peng; Jie Wang 042; Xulei Yang; Le Zhang 001; Zeng Zeng (BHI, 2019)

FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. - Ramanpreet Singh Pahwa; Vijay Ramaseshan Chandrasekhar; Jin Chao; Jestine Paul; Yiqun Li; Ma Tin Lay Nwe; Shudong Xie; Ashish James; Arulmurugan Ambikapathi; Zeng Zeng (ITSC, 2019)

Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN). - Rahul Dutta; Salahuddin Raju; Ashish James; Leo John Chemmanda; Yong-Joon Jeon; Balagopal Unnikrishnan; Chuan Sheng Foo; Zeng Zeng; Kevin Tshun Chuan Chai; Vijay Ramaseshan Chandrasekhar (SoCC, 2019)

Robust Regression via Deep Negative Correlation Learning. - Le Zhang 001; Zenglin Shi; Ming-Ming Cheng; Yun Liu 011; Jia-Wang Bian; Joey Tianyi Zhou; Guoyan Zheng; Zeng Zeng (CoRR, 2019)

Cribriform pattern detection in prostate histopathological images using deep learning models. - Malay Singh; Emarene Mationg Kalaw; Jie Wang 042; Mundher Al-Shabi; Chin Fong Wong; Danilo Medina Giron; Kian-Tai Chong; Maxine Tan; Zeng Zeng; Hwee Kuan Lee (CoRR, 2019)

Joint spatial modulation and beamforming based on statistical channel state information for hybrid massive MIMO communication systems. - Mingxuan Zhang; Weiwei Miao; Yiting Shen; Jin Huang; Shaqian Zhang; Zeng Zeng; Hao Tang; Liang Wu 001; Zaichen Zhang; Jian Dang (IET Commun., 2019)

SeSe-Net: Self-Supervised deep learning for segmentation. - Zeng Zeng; Xulei Yang; Yu Qiyun; Yao Meng; Le Zhang 001 (Pattern Recognit. Lett., 2019)

Efficient and Accurate Classification Enabled by a Lightweight CNN. - Weiwei Miao; Zeng Zeng; Chuanjun Wang; Yueqin Chen; Chunhe Song (ICCCS, 2020)

Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma. - Jiapan Gu; Ziyuan Zhao; Zeng Zeng; Yuzhe Wang; Zhengyiren Qiu; Bharadwaj Veeravalli; Brian Kim Poh Goh; Glenn Kunnath Bonney; Krishnakumar Madhavan; Chan Wan Ying; Lim Kheng Choon; Thng Choon Hua; et al. (EMBC, 2020)

Multi-Target Deep Learning for Algal Detection and Classification. - Peisheng Qian; Ziyuan Zhao; Haobing Liu 004; Yingcai Wang; Yu Peng; Sheng Hu; Jing Zhang; Yue Deng; Zeng Zeng (EMBC, 2020)

Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma. - Kaixin Xu; Ziyuan Zhao; Jiapan Gu; Zeng Zeng; Chan Wan Ying; Lim Kheng Choon; Thng Choon Hua; Pierce K. H. Chow (EMBC, 2020)

Deeply Supervised Active Learning for Finger Bones Segmentation. - Ziyuan Zhao; Xiaoyan Yang; Bharadwaj Veeravalli; Zeng Zeng (EMBC, 2020)

A Novel Economical Design of Multistage Decimators for Low Latency Audio Applications. - Wei Hu 001; Chongwei Zheng 003; Yonghao Wang; Jing Liu 032; Cen Chen 001; Zeng Zeng (HPCC/DSS/SmartCity, 2020)

Efficient Design of Hybrid Half-band Multi-stage Filter Based on Simulated Annealing Algorithm. - Wei Hu 001; Chongwei Zheng 003; Yonghao Wang; Jin Zhang; Cen Chen 001; Zeng Zeng (HPCC/DSS/SmartCity, 2020)

A Balanced Cost Fault-Tolerant Scheduling Algorithm in Heterogeneous Real-Time Systems. - Jing Liu 032; Yifu Zhang; Yang Liu 118; Pei Yang; Cen Chen 001; Ziqi Zhu; Zeng Zeng (HPCC/DSS/SmartCity, 2020)

An Efficient Low Delay Task Scheduling Algorithm Based on Ant Colony System in Heterogeneous Environments. - Pei Yang; Jing Liu 032; Cen Chen 002; Yucheng Ding; Chunhua Deng; Zeng Zeng (HPCC/DSS/SmartCity, 2020)

Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading. - Ziyuan Zhao; Kartik Chopra; Zeng Zeng; Xiaoli Li 001 (ICIP, 2020)

Adaptive DNN Partition in Edge Computing Environments. - Weiwei Miao; Zeng Zeng; Lei Wei; Shihao Li; Chengling Jiang; Zhen Zhang (ICPADS, 2020)

Efficient Edge Service Migration in Mobile Edge Computing. - Zeng Zeng; Shihao Li; Weiwei Miao; Lei Wei; Chengling Jiang; Chuanjun Wang; Mingxuan Zhang (ICPADS, 2020)

Robust Train Component Detection with Cascade Convolutional Neural Networks based on Structure Knowledge. - Zhongyao Cheng; Juelin Zhu; Cen Chen; Xiaoxi Yu; Wu Fan; Li Yue 006; Zeng Zeng (ITSC, 2020)

An Edge-Assisted Video Computing Framework for Industrial IoT. - Zeng Zeng; Yuze Jin; Weiwei Miao; Chuanjun Wang; Shihao Li; Peng Zhou; Hongli Zhou; Meiya Dong (MobiCASE, 2020)

EDC: An Edge-Oriented Dynamic Resource Configuration Strategy. - Lei Wei; Weiwei Miao; Zeng Zeng; Hesheng Sun; Zhuzhong Qian (SpaCCS Workshops, 2020)

Overlapped universal filtered multicarrier system for uplink wireless communication. - Mingxuan Zhang; Weiwei Miao; Jian Dang; Zhengyang Ding; Shaqian Zhang; Zeng Zeng; Hao Tang; Mengting Wu; Zaichen Zhang; Liang Wu 001 (Int. J. Commun. Syst., 2020)

A two-stage attention aware method for train bearing shed oil inspection based on convolutional neural networks. - Xiao Fu; Kenli Li 001; Jing Liu 032; Keqin Li 001; Zeng Zeng; Cen Chen 002 (Neurocomputing, 2020)

A hierarchical deep convolutional neural network and gated recurrent unit framework for structural damage detection. - Jianxi Yang; Likai Zhang; Cen Chen 002; Yangfan Li; Ren Li; Guiping Wang; Shixin Jiang; Zeng Zeng (Inf. Sci., 2020)

Towards secure and network state aware bitrate adaptation at IoT edge. - Zeng Zeng; Hang Che; Weiwei Miao; Jin Huang; Hao Tang; Mingxuan Zhang; Shaqian Zhang (J. Cloud Comput., 2020)

Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks. - Cen Chen 002; Kenli Li 001; Sin G. Teo; Xiaofeng Zou; Keqin Li 001; Zeng Zeng (ACM Trans. Knowl. Discov. Data, 2020)

Wi-SL: A Secure Lightweight WiFi Transmission Mechanism for IoT Devices. - Changzhi Teng; Mingxuan Zhang; Zeng Zeng; Zhen Zhang; Yusen Zhou; Wenjia Wu (CBD, 2021)

A IoT Terminal Position Recognition Method Based on RSSI and Magnetic Field in A Low Trust Environment. - Rui Zhang; Weiwei Miao; Jin Huang; Zeng Zeng; Changzhi Teng; Shihao Li; Zhen Zhang; Mingxuan Zhang (CBD, 2021)

Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation. - Shumeng Li; Ziyuan Zhao; Kaixin Xu; Zeng Zeng; Cuntai Guan (EMBC, 2021)

Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading. - Peisheng Qian; Ziyuan Zhao; Cong Chen; Zeng Zeng; Xiaoli Li 001 (EMBC, 2021)

Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation. - Ziyuan Zhao; Zeyu Ma; Yanjie Liu; Zeng Zeng; Pierce K. H. Chow (EMBC, 2021)

The Application of Beidou and Ultra-Broadband Positioning Technology in the Power Security Protection System. - Yu-qing Yang; Weiwei Miao; Zeng Zeng (ICBDS, 2021)

Systematic Analysis of Circular Artifacts for Stylegan. - Way Tan; Bihan Wen; Cen Chen 001; Zeng Zeng; Xulei Yang (ICIP, 2021)

TRAN: Task Replication with Guarantee via Multi-armed Bandit. - Yitong Zhou; Bowen Peng; Jingmian Wang; Weiwei Miao; Zeng Zeng; Yibo Jin 001; Sheng Zhang 001; Zhuzhong Qian (ICPADS, 2021)

Multi-Job Multi-Edge Allocation in Edge Computing Environments. - Shihao Li; Weiwei Miao; Zeng Zeng; Lei Wei; Chengling Jiang; Chuanjun Wang; Mingxuan Zhang (INFOCOM Workshops, 2021)

Microservice Replacement Algorithm in Cloud-Edge System for Edge Intelligence. - Weiwei Miao; Zeng Zeng; Shihao Li; Lei Wei; Chengling Jiang; Siping Quan; Yong Li (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Workload Prediction in Edge Computing based on Graph Neural Network. - Weiwei Miao; Zeng Zeng; Mingxuan Zhang; Siping Quan; Zhen Zhang; Shihao Li; Li Zhang; Qi Sun (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Multi-Agent Reinforcement Learning for Edge Resource Management with Reconstructed Environment. - Weiwei Miao; Zeng Zeng; Mingxuan Zhang; Siping Quan; Zhen Zhang; Shihao Li; Li Zhang; Qi Sun (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Adaptive Task Scheduling in Cloud-Edge System for Edge Intelligence Application. - Zeng Zeng; Weiwei Miao; Shihao Li; Xiaoyun Liao; Mingxuan Zhang; Rui Zhang; Changzhi Teng (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Soudain: Online Adaptive Profile Configuration for Real-time Video Analytics. - Kun Wu; Yibo Jin 001; Weiwei Miao; Zeng Zeng; Zhuzhong Qian; Jingmian Wang; Mingxian Zhou; Tuo Cao (IWQoS, 2021)

MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. - Ziyuan Zhao; Kaixin Xu; Shumeng Li; Zeng Zeng; Cuntai Guan (MICCAI (1), 2021)

A Seq2Seq Learning Approach for Link Quality Estimation Based on System Metrics in WSNs. - Weiwei Miao; Zhengyang Ding; Hao Tang; Zeng Zeng; Mingxuan Zhang; Shaqian Zhang (IEEE Access, 2021)

A Data-Driven Approach for Blockchain-Based Smart Grid System. - Zeng Zeng; Meiya Dong; Weiwei Miao; Mingming Zhang; Hao Tang (IEEE Access, 2021)

An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance. - Chen Chai; Juanwu Lu; Xuan Jiang; Xiupeng Shi; Zeng Zeng (CoRR, 2021)

Bridge health anomaly detection using deep support vector data description. - Jianxi Yang; Fei Yang; Likai Zhang; Ren Li; Shixin Jiang; Guiping Wang; Le Zhang 001; Zeng Zeng (Neurocomputing, 2021)

A novel cooperative resource provisioning strategy for Multi-Cloud load balancing. - Bo Zhang; Zeng Zeng; Xiupeng Shi; Jianxi Yang; Bharadwaj Veeravalli; Keqin Li 001 (J. Parallel Distributed Comput., 2021)

Ordered or Orderless: A Revisit for Video Based Person Re-Identification. - Le Zhang 001; Zenglin Shi; Joey Tianyi Zhou; Ming-Ming Cheng; Yun Liu 011; Jia-Wang Bian; Zeng Zeng; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Nonlinear Regression via Deep Negative Correlation Learning. - Le Zhang 001; Zenglin Shi; Ming-Ming Cheng; Yun Liu 011; Jia-Wang Bian; Joey Tianyi Zhou; Guoyan Zheng; Zeng Zeng (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Correction to "Nonlinear Regression via Deep Negative Correlation Learning". - Le Zhang 001; Zenglin Shi; Ming-Ming Cheng; Yun Liu 011; Jia-Wang Bian; Joey Tianyi Zhou; Guoyan Zheng; Zeng Zeng (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Topics, Sentiments, and Emotions Triggered by COVID-19-Related Tweets from IRAN and Turkey Official News Agencies. - Waseem Ahmad; Bang Wang 001; Han Xu 003; Minghua Xu 001; Zeng Zeng (SN Comput. Sci., 2021)

Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems Using Multi-objective Reinforcement Learning. - Jianguo Chen 001; Kenli Li 001; Keqin Li 001; Philip S. Yu; Zeng Zeng (ACM Trans. Cyber Phys. Syst., 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)

Attention-Aware Encoder-Decoder Neural Networks for Heterogeneous Graphs of Things. - Yangfan Li; Cen Chen 002; Mingxing Duan; Zeng Zeng; Kenli Li 001 (IEEE Trans. Ind. Informatics, 2021)

Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network. - Jianguo Chen 001; Kenli Li 001; Keqin Li 001; Philip S. Yu; Zeng Zeng (ACM Trans. Intell. Syst. Technol., 2021)

DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation. - Ziyuan Zhao; Zeng Zeng; Kaixin Xu; Cen Chen 001; Cuntai Guan (IEEE J. Biomed. Health Informatics, 2021)

Research on Using Dynamic Thread Pool to Improve the Performance of VPN Gateway. - Xiaogang Wei; Weiwei Miao; Zeng Zeng; Ye Wang; Hua Zhao; Yingli He; Yuanqiang Wang; Jin Deng (ICCCS, 2022)

ADAN: An Adversarial Domain Adaptation Neural Network for Early Gastric Cancer Prediction. - Luyang Jie; Pengchen Liang; Ziyuan Zhao; Jianguo Chen 001; Qing Chang 004; Zeng Zeng (EMBC, 2022)

CETSA Feature Based Clustering for Protein Outlier Discovery by Protein-to-Protein Interaction Prediction. - Xulei Yang; Qing Da; Peisheng Qian; Bharadwaj Veeravalli; Tam Wai Leong; Lingyun Dai; Pär Nordlund; Nayana Prabhu; Ziyuan Zhao; Zeng Zeng (EMBC, 2022)

Residual Channel Attention Network for Brain Glioma Segmentation. - Yiming Yao; Peisheng Qian; Ziyuan Zhao; Zeng Zeng (EMBC, 2022)

CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines. - Zeng Zeng; Shenghao Zhao; Qing Da; Peisheng Qian; Tam Wai Leong; Lingyun Dai; Pär Nordlund; Nayana Prabhu; Ziyuan Zhao; Xulei Yang (EMBC, 2022)

Self-supervised Assisted Active Learning for Skin Lesion Segmentation. - Ziyuan Zhao; Wenjing Lu; Zeng Zeng; Kaixin Xu; Bharadwaj Veeravalli; Cuntai Guan (EMBC, 2022)

Malignancy Suspicious Region Guided Deep Neural Networks for Gastric Ulcer Classification. - Xiaoyan Zheng; Zeng Zeng; Can Ma; Qing Chang 004; Ziyuan Zhao; Xulei Yang (EMBC, 2022)

Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling. - Yaxin Zhu; Peisheng Qian; Ziyuan Zhao; Zeng Zeng (EMBC, 2022)

Fabric Image Layering Based on Parallel K-means. - Lei Wang 229; Wei Zhao 035; Tong Sang; Zeng Zeng; Yangfan Li (HPCC/DSS/SmartCity/DependSys, 2022)

MANET: Mitral Annulus Point Tracking Network in Cardiac Magnetic Resonance. - Jianguo Chen 001; Xulei Yang; Shuang Leng; Ru-San Tan; Zeng Zeng; Liang Zhong 001 (ICIP, 2022)

Latent Vector Prototypes Guided Conditional Face Synthesis. - Qiyu Wei; Xulei Yang; Tong Sang; Huijiao Wang; Xiaofeng Zou; Zhongyao Cheng; Ziyuan Zhao; Zeng Zeng (ICIP, 2022)

Object-Aware Self-Supervised Multi-Label Learning. - Kaixin Xu; Liyang Liu; Ziyuan Zhao; Zeng Zeng; Bharadwaj Veeravalli (ICIP, 2022)

Iterative Contrastive Learning for Single Image Raindrop Removal. - Xulei Yang; Peisheng Qian; Li Wang 057; Shenghao Zhao; Cen Chen 001; Xiaoli Li 001; Zeng Zeng (ICIP, 2022)

MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image Segmentation. - Ziyuan Zhao; Jinxuan Hu; Zeng Zeng; Xulei Yang; Peisheng Qian; Bharadwaj Veeravalli; Cuntai Guan (ICIP, 2022)

ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory-Efficient Medical Image Segmentation. - Ziyuan Zhao; Andong Zhu 003; Zeng Zeng; Bharadwaj Veeravalli; Cuntai Guan (ICIP, 2022)

Research on a non-intrusive electrical load intelligent identification algorithm. - Chuanjun Wang; Weiwei Miao; Zeng Zeng; Shihao Li; Jing Jin; Huijun Yang (ICISCAE, 2022)

Adaptive Mean-Residue Loss for Robust Facial Age Estimation. - Ziyuan Zhao; Peisheng Qian; Yubo Hou; Zeng Zeng (ICME, 2022)

Fabric Image Layering Based on Kmeans-AP. - Lei Wang 229; Wei Zhao 035; Tong Sang; Yiheng Che; Zeng Zeng (ICVIP, 2022)

Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation. - Ziyuan Zhao; Fangcheng Zhou; Zeng Zeng; Cuntai Guan; S. Kevin Zhou (MICCAI (5), 2022)

Topology-Aware Quantization Strategy via Personalized PageRank for Graph Neural Networks. - Yuxuan Chen; Yilong Guo; Zeng Zeng; Xiaofeng Zou; Yangfan Li; Cen Chen 002 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Surface Defect Detection Based on ResNet Classification Network with GAN Optimized. - Hanbo Fu; Zhengqing Zhou; Zeng Zeng; Tong Sang; Yaxin Zhu; Xiaoyan Zheng (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Hand Movement Classification from Spatio-Temporal Sensory Data Based on Hybrid Random Forest Deep Learning. - Kun Liang; Wei Zhao 035; Heng Qian; Yanan Liu; Zeng Zeng (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

An improved DECPSOHDV-Hop algorithm for node location of WSN in Cyber-Physical-Social-System. - Tan Deng; Xiaoyong Tang; Zhiqiang Wu; Xiao Liu; Wei Wei 006; Zeng Zeng (Comput. Commun., 2022)

Enhanced gradient learning for deep neural networks. - Ming Yan 007; Jianxi Yang; Cen Chen 001; Joey Tianyi Zhou; Yi Pan 001; Zeng Zeng (IET Image Process., 2022)

Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing. - Zeng Zeng; Cen Chen 002; Bharadwaj Veeravalli; Keqin Li 001; Joey Tianyi Zhou (Neurocomputing, 2022)

AdaSG: A Lightweight Feature Point Matching Method Using Adaptive Descriptor with GNN for VSLAM. - Ye Liu 011; Kun Huang; Jingyuan Li; Xiangting Li; Zeng Zeng; Liang Chang 002; Jun Zhou 017 (Sensors, 2022)

Hierarchical Graph Neural Networks for Few-Shot Learning. - Cen Chen 002; Kenli Li 001; Wei Wei 006; Joey Tianyi Zhou; Zeng Zeng (IEEE Trans. Circuits Syst. Video Technol., 2022)

Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains. - Cen Chen 002; Xiaofeng Zou; Zeng Zeng; Zhongyao Cheng; Le Zhang 001; Steven C. H. Hoi (IEEE Trans. Cybern., 2022)

Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning. - Zeng Zeng; Wei Zhao 035; Peisheng Qian; Yingjie Zhou 001; Ziyuan Zhao; Cen Chen 002; Cuntai Guan (IEEE Trans. Cybern., 2022)

MOCLoc: Emerging Online Collaborative Localization Enhanced by Multidimensional Scaling. - Chanxin Zhou; Bang Wang 001; Yijun Mo; Zeng Zeng (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things. - Ming Yan 007; Cen Chen 002; Jiawei Du; Xi Peng 001; Joey Tianyi Zhou; Zeng Zeng (IEEE Trans. Ind. Informatics, 2022)

A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains. - Cen Chen 002; Kenli Li 001; Zhongyao Cheng; Francesco Piccialli; Steven C. H. Hoi; Zeng Zeng (IEEE Trans. Intell. Transp. Syst., 2022)

Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road. - Xiupeng Shi; Yiik Diew Wong; Chen Chai; Michael Zhi-Feng Li; Tianyi Chen; Zeng Zeng (IEEE Trans. Intell. Transp. Syst., 2022)

Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting. - Yangfan Li; Kenli Li 001; Cen Chen 002; Xu Zhou 001; Zeng Zeng; Keqin Li 001 (ACM Trans. Knowl. Discov. Data, 2022)

Hierarchical Semantic Graph Reasoning for Train Component Detection. - Cen Chen 002; Kenli Li 001; Xiaofeng Zou; Zhongyao Cheng; Wei Wei 006; Qi Tian 001; Zeng Zeng (IEEE Trans. Neural Networks Learn. Syst., 2022)

Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds. - Xiaoyong Tang; Wenbiao Cao; Huiya Tang; Tan Deng; Jing Mei; Yi Liu; Cheng Shi; Meng Xia; Zeng Zeng (IEEE Trans. Parallel Distributed Syst., 2022)

Determinantal point process-based new radio unlicensed link scheduling for multi-access edge computing. - Chigang Xing; Yangfan Li; Cen Chen 002; Fangmin Li; Zeng Zeng; Xiaofeng Zou (World Wide Web, 2022)

An Efficient Deep Video Model For Deepfake Detection. - Ruipeng Sun; Ziyuan Zhao; Li Shen; Zeng Zeng; Yuxin Li; Bharadwaj Veeravalli; Xulei Yang (ICIP, 2023)

Controlling Facial Attribute Synthesis by Disentangling Attribute Feature Axes in Latent Space. - Qiyu Wei; Weihua Zheng; Yuxin Li; Zhongyao Cheng; Zeng Zeng; Xulei Yang (ICIP, 2023)

SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. - Ziyuan Zhao; Peisheng Qian; Xulei Yang; Zeng Zeng; Cuntai Guan; Tam Wai Leong; Xiaoli Li 001 (IJCAI, 2023)

A Deeply Supervised Semantic Segmentation Method Based on GAN. - Wei Zhao 035; Qiyu Wei; Zeng Zeng (ITSC, 2023)

AutoML with Focal Loss for Defect Diagnosis and Prognosis in Smart Manufacturing. - Qing Han; Yu Xia; Xiupeng Shi; Zeng Zeng (CIS-RAM, 2023)

Wafer Map Defect Recognition and Accurate Localization Based on Defect Completion Algorithm. - Tong Sang; Dai Sun; Wei Zhao 035; Ruohui Chen; Zeng Zeng (CIS-RAM, 2023)

Wafer Map Defect Patterns Semi-Supervised Classification Using Latent Vector Representation. - Qiyu Wei; Wei Zhao 035; Xiaoyan Zheng; Zeng Zeng (CIS-RAM, 2023)

Adaptive Modelling for Anomaly Detection and Defect Diagnosis in Semiconductor Smart Manufacturing: A Domain-specific AutoML. - Weihong Zhai; Xiupeng Shi; Zeng Zeng (CIS-RAM, 2023)

Enhancing Semiconductor Chip Image Defect Classification Using Deep Learning and Segmented Defect Region Information. - Xiaoyan Zheng; Tong Sang; Ruohui Chen; Zeng Zeng (CIS-RAM, 2023)

Improved Semantic Segmentation Adversarial Networks Applied to Industrial Production Datasets. - Zhengqing Zhou; Xiaoyan Zheng; Qing Han; Wei Zhao 035; Tong Sang; Zeng Zeng (CIS-RAM, 2023)

A Lightweight Nonlinear White-Box SM4 Implementation Applied to Edge IoT Agents. - Chao Jin; Zhejing Bao; Weiwei Miao; Zeng Zeng; Xiaogang Wei; Rui Zhang 022 (IEEE Access, 2023)

Service Cost Effective and Reliability Aware Job Scheduling Algorithm on Cloud Computing Systems. - Xiaoyong Tang; Yi Liu; Zeng Zeng; Bharadwaj Veeravalli (IEEE Trans. Cloud Comput., 2023)

Efficient Perturbation Inference and Expandable Network for continual learning. - Fei Du; Yun Yang 003; Ziyuan Zhao; Zeng Zeng (Neural Networks, 2023)

CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. - Zeng Zeng; Ziyuan Zhao; Kaixin Xu; Yangfan Li; Cen Chen 002; Xiaofeng Zou; Yulan Wang; Wei Wei 006; Pierce K. H. Chow; Xiao-Li Li 001 (IEEE J. Biomed. Health Informatics, 2023)

LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation. - Ziyuan Zhao; Fangcheng Zhou; Kaixin Xu; Zeng Zeng; Cuntai Guan; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2023)

Electricity Price Gaming Based on Personalized Load Forecasting for Energy Saving. - Jie Zou; Siya Xu; Cheng Zhou; Hai Wu; Zeng Zeng; Peng Yu 001 (BMSB, 2024)

Unsupervised 3D Lung Segmentation by Leveraging 2D Segment Anything Model. - Tianrui Liu; Qiyue Wei; Jianguo Chen 001; Weide Liu; Weimin Huang 002; Ruchir Srivastava; Zhongyao Cheng; Zeng Zeng; Bharadwaj Veeravalli; Xulei Yang (EMBC, 2024)

Hybrid Model Design For Protein Function Prediction. - Shenghao Zhao; Xiaoyu Zhang; Ziyuan Zhao; Peisheng Qian; Weide Liu; Zeng Zeng; Bharadwaj Veeravalli; Lingyun Dai; Pär Nordlund; Nayana Prabhu; Tam Wai Leong; Xulei Yang (EMBC, 2024)

Application of Imagery Modeling and Deep Learning in Chip Thermal Analysis. - Zuozheng Shi; Kun Liang; Zeng Zeng; Xiupeng Shi (MIXDES, 2024)

Graph Neural Networks for Protein-Protein Interactions - A Short Survey. - Mingda Xu; Peisheng Qian; Ziyuan Zhao; Zeng Zeng; Jianguo Chen 001; Weide Liu; Xulei Yang (CoRR, 2024)

Utilizing the Mean Teacher with Supcontrast Loss for Wafer Pattern Recognition. - Qiyu Wei; Xun Xu 002; Zeng Zeng; Xulei Yang (CoRR, 2024)

End-Edge-Cloud Collaboration-Based False Data Injection Attack Detection in Distribution Networks. - Houjun Li; Chunxia Dou; Dong Yue 001; Gerhard P. Hancke 001; Zeng Zeng; Wei Guo 010; Lei Xu 015 (IEEE Trans. Ind. Informatics, 2024)

Fingerprint-Based Deduplication for Renewable Energy Data On-Site Analyzing. - Zeng Zeng; Liyuan Gao; Hongyue Ma; Wenjing Li (IEEE Open J. Commun. Soc., 2025)

mixDA: mixup domain adaptation for glaucoma detection on fundus images. - Ming Yan 007; Yun Lin; Xi Peng 001; Zeng Zeng (Neural Comput. Appl., 2025)

DifNet: Difference-based multi-resolution decomposition for time series anomaly detection. - Honglan Wang; Jing Li; Yu Chen; Xuxi Zou; Zeng Zeng; Jinlong Wu; Chenlin Pan; Yuqi Lu; Rongbin Gu; Xudong He; Rui Zhang (Appl. Intell., 2025)

Spatio-Temporal Aware Personalized Federated Learning for Load Forecasting in Power Systems. - Siya Xu; Jie Zou; Cheng Zhou; Hai Wu; Zeng Zeng (IEEE Trans. Ind. Informatics, 2025)