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2020 – today
- 2024
[j56]Houjun Li
, Chunxia Dou, Dong Yue, Gerhard P. Hancke, Zeng Zeng, Wei Guo, Lei Xu:
End-Edge-Cloud Collaboration-Based False Data Injection Attack Detection in Distribution Networks. IEEE Trans. Ind. Informatics 20(2): 1786-1797 (2024)- [c86]Jie Zou, Siya Xu, Cheng Zhou, Hai Wu, Zeng Zeng, Peng Yu:
Electricity Price Gaming Based on Personalized Load Forecasting for Energy Saving. BMSB 2024: 1-6 - [c85]Zuozheng Shi, Kun Liang, Zeng Zeng, Xiupeng Shi:
Application of Imagery Modeling and Deep Learning in Chip Thermal Analysis. MIXDES 2024: 161-165 - [i38]Mingda Xu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng, Jianguo Chen, Weide Liu, Xulei Yang:
Graph Neural Networks for Protein-Protein Interactions - A Short Survey. CoRR abs/2404.10450 (2024) - 2023
- [j55]Chao Jin, Zhejing Bao, Weiwei Miao, Zeng Zeng, Xiaogang Wei, Rui Zhang:
A Lightweight Nonlinear White-Box SM4 Implementation Applied to Edge IoT Agents. IEEE Access 11: 68717-68727 (2023) - [j54]Fei Du, Yun Yang, Ziyuan Zhao, Zeng Zeng:
Efficient Perturbation Inference and Expandable Network for continual learning. Neural Networks 159: 97-106 (2023) - [j53]Xiaoyong Tang, Yi Liu, Zeng Zeng, Bharadwaj Veeravalli:
Service Cost Effective and Reliability Aware Job Scheduling Algorithm on Cloud Computing Systems. IEEE Trans. Cloud Comput. 11(2): 1461-1473 (2023) - [j52]Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Yangfan Li, Cen Chen, Xiaofeng Zou, Yulan Wang, Wei Wei, Pierce K. H. Chow, Xiao-Li Li:
CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. IEEE J. Biomed. Health Informatics 27(2): 598-607 (2023) - [j51]Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation. IEEE Trans. Medical Imaging 42(3): 633-646 (2023) - [c84]Qiyu Wei, Weihua Zheng, Yuxin Li, Zhongyao Cheng, Zeng Zeng, Xulei Yang:
Controlling Facial Attribute Synthesis by Disentangling Attribute Feature Axes in Latent Space. ICIP 2023: 346-350 - [c83]Ruipeng Sun, Ziyuan Zhao, Li Shen, Zeng Zeng, Yuxin Li, Bharadwaj Veeravalli, Xulei Yang:
An Efficient Deep Video Model For Deepfake Detection. ICIP 2023: 351-355 - [c82]Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li:
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. IJCAI 2023: 4984-4992 - [c81]Wei Zhao, Qiyu Wei, Zeng Zeng:
A Deeply Supervised Semantic Segmentation Method Based on GAN. ITSC 2023: 5235-5240 - [c80]Zhengqing Zhou, Xiaoyan Zheng, Qing Han, Wei Zhao, Tong Sang, Zeng Zeng:
Improved Semantic Segmentation Adversarial Networks Applied to Industrial Production Datasets. CIS-RAM 2023: 174-179 - [c79]Qing Han, Yu Xia, Xiupeng Shi, Zeng Zeng:
AutoML with Focal Loss for Defect Diagnosis and Prognosis in Smart Manufacturing. CIS-RAM 2023: 180-185 - [c78]Tong Sang, Dai Sun, Wei Zhao, Ruohui Chen, Zeng Zeng:
Wafer Map Defect Recognition and Accurate Localization Based on Defect Completion Algorithm. CIS-RAM 2023: 186-191 - [c77]Qiyu Wei, Wei Zhao, Xiaoyan Zheng, Zeng Zeng:
Wafer Map Defect Patterns Semi-Supervised Classification Using Latent Vector Representation. CIS-RAM 2023: 192-197 - [c76]Weihong Zhai, Xiupeng Shi, Zeng Zeng:
Adaptive Modelling for Anomaly Detection and Defect Diagnosis in Semiconductor Smart Manufacturing: A Domain-specific AutoML. CIS-RAM 2023: 198-203 - [c75]Xiaoyan Zheng, Tong Sang, Ruohui Chen, Zeng Zeng:
Enhancing Semiconductor Chip Image Defect Classification Using Deep Learning and Segmented Defect Region Information. CIS-RAM 2023: 204-209 - [i37]Ziyuan Zhao, Fangcheng Zhou, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation. CoRR abs/2305.06978 (2023) - [i36]Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li:
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. CoRR abs/2305.08316 (2023) - [i35]Wei Zhao, Qiyu Wei, Zeng Zeng:
A Deeply Supervised Semantic Segmentation Method Based on GAN. CoRR abs/2310.04081 (2023) - [i34]Qiyu Wei, Wei Zhao, Xiaoyan Zheng, Zeng Zeng:
Wafer Map Defect Patterns Semi-Supervised Classification Using Latent Vector Representation. CoRR abs/2311.12840 (2023) - 2022
- [j50]Tan Deng, Xiaoyong Tang, Zhiqiang Wu, Xiao Liu, Wei Wei, Zeng Zeng:
An improved DECPSOHDV-Hop algorithm for node location of WSN in Cyber-Physical-Social-System. Comput. Commun. 191: 349-359 (2022) - [j49]Ming Yan, Jianxi Yang, Cen Chen, Joey Tianyi Zhou, Yi Pan, Zeng Zeng:
Enhanced gradient learning for deep neural networks. IET Image Process. 16(2): 365-377 (2022) - [j48]Zeng Zeng, Cen Chen, Bharadwaj Veeravalli, Keqin Li, Joey Tianyi Zhou:
Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing. Neurocomputing 472: 149-151 (2022) - [j47]Ye Liu, Kun Huang, Jingyuan Li, Xiangting Li, Zeng Zeng, Liang Chang, Jun Zhou:
AdaSG: A Lightweight Feature Point Matching Method Using Adaptive Descriptor with GNN for VSLAM. Sensors 22(16): 5992 (2022) - [j46]Cen Chen, Kenli Li, Wei Wei, Joey Tianyi Zhou, Zeng Zeng:
Hierarchical Graph Neural Networks for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(1): 240-252 (2022) - [j45]Cen Chen, Xiaofeng Zou, Zeng Zeng, Zhongyao Cheng, Le Zhang, Steven C. H. Hoi:
Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains. IEEE Trans. Cybern. 52(2): 1233-1246 (2022) - [j44]Zeng Zeng, Wei Zhao, Peisheng Qian, Yingjie Zhou, Ziyuan Zhao, Cen Chen, Cuntai Guan:
Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning. IEEE Trans. Cybern. 52(12): 13458-13471 (2022) - [j43]Chanxin Zhou, Bang Wang, Yijun Mo, Zeng Zeng:
MOCLoc: Emerging Online Collaborative Localization Enhanced by Multidimensional Scaling. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 751-761 (2022) - [j42]Ming Yan, Cen Chen, Jiawei Du, Xi Peng, Joey Tianyi Zhou, Zeng Zeng:
Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things. IEEE Trans. Ind. Informatics 18(5): 3349-3357 (2022) - [j41]Cen Chen, Kenli Li, Zhongyao Cheng, Francesco Piccialli, Steven C. H. Hoi, Zeng Zeng:
A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains. IEEE Trans. Intell. Transp. Syst. 23(4): 3268-3280 (2022) - [j40]Xiupeng Shi, Yiik Diew Wong, Chen Chai, Michael Zhi-Feng Li, Tianyi Chen, Zeng Zeng:
Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road. IEEE Trans. Intell. Transp. Syst. 23(10): 17451-17465 (2022) - [j39]Yangfan Li, Kenli Li, Cen Chen, Xu Zhou, Zeng Zeng, Keqin Li:
Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting. ACM Trans. Knowl. Discov. Data 16(1): 14:1-14:22 (2022) - [j38]Cen Chen, Kenli Li, Xiaofeng Zou, Zhongyao Cheng, Wei Wei, Qi Tian, Zeng Zeng:
Hierarchical Semantic Graph Reasoning for Train Component Detection. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4502-4514 (2022) - [j37]Xiaoyong Tang, Wenbiao Cao, Huiya Tang, Tan Deng, Jing Mei, Yi Liu, Cheng Shi, Meng Xia, Zeng Zeng:
Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds. IEEE Trans. Parallel Distributed Syst. 33(9): 2079-2092 (2022) - [j36]Chigang Xing, Yangfan Li, Cen Chen, Fangmin Li, Zeng Zeng, Xiaofeng Zou:
Determinantal point process-based new radio unlicensed link scheduling for multi-access edge computing. World Wide Web 25(5): 2215-2239 (2022) - [c74]Xiaogang Wei, Weiwei Miao, Zeng Zeng, Ye Wang, Hua Zhao, Yingli He, Yuanqiang Wang, Jin Deng:
Research on Using Dynamic Thread Pool to Improve the Performance of VPN Gateway. ICCCS 2022: 566-570 - [c73]Xiaoyan Zheng, Zeng Zeng, Can Ma, Qing Chang, Ziyuan Zhao, Xulei Yang:
Malignancy Suspicious Region Guided Deep Neural Networks for Gastric Ulcer Classification. EMBC 2022: 451-454 - [c72]Yaxin Zhu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng:
Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling. EMBC 2022: 467-470 - [c71]Zeng Zeng, Shenghao Zhao, Qing Da, Peisheng Qian, Tam Wai Leong, Lingyun Dai, Pär Nordlund, Nayana Prabhu, Ziyuan Zhao, Xulei Yang:
CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines. EMBC 2022: 1647-1650 - [c70]Xulei Yang, Qing Da, Peisheng Qian, Bharadwaj Veeravalli, Tam Wai Leong, Lingyun Dai, Pär Nordlund, Nayana Prabhu, Ziyuan Zhao, Zeng Zeng:
CETSA Feature Based Clustering for Protein Outlier Discovery by Protein-to-Protein Interaction Prediction. EMBC 2022: 1659-1662 - [c69]Yiming Yao, Peisheng Qian, Ziyuan Zhao, Zeng Zeng:
Residual Channel Attention Network for Brain Glioma Segmentation. EMBC 2022: 2132-2135 - [c68]Luyang Jie, Pengchen Liang, Ziyuan Zhao, Jianguo Chen, Qing Chang, Zeng Zeng:
ADAN: An Adversarial Domain Adaptation Neural Network for Early Gastric Cancer Prediction. EMBC 2022: 2169-2172 - [c67]Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan:
Self-supervised Assisted Active Learning for Skin Lesion Segmentation. EMBC 2022: 5043-5046 - [c66]Lei Wang, Wei Zhao, Tong Sang, Zeng Zeng, Yangfan Li:
Fabric Image Layering Based on Parallel K-means. HPCC/DSS/SmartCity/DependSys 2022: 1228-1233 - [c65]Kaixin Xu, Liyang Liu, Ziyuan Zhao, Zeng Zeng, Bharadwaj Veeravalli:
Object-Aware Self-Supervised Multi-Label Learning. ICIP 2022: 361-365 - [c64]Ziyuan Zhao, Jinxuan Hu, Zeng Zeng, Xulei Yang, Peisheng Qian, Bharadwaj Veeravalli, Cuntai Guan:
MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image Segmentation. ICIP 2022: 401-405 - [c63]Xulei Yang, Peisheng Qian, Li Wang, Shenghao Zhao, Cen Chen, Xiaoli Li, Zeng Zeng:
Iterative Contrastive Learning for Single Image Raindrop Removal. ICIP 2022: 456-460 - [c62]Ziyuan Zhao, Andong Zhu, Zeng Zeng, Bharadwaj Veeravalli, Cuntai Guan:
ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory-Efficient Medical Image Segmentation. ICIP 2022: 1426-1430 - [c61]Jianguo Chen, Xulei Yang, Shuang Leng, Ru San Tan, Zeng Zeng, Liang Zhong:
MANET: Mitral Annulus Point Tracking Network in Cardiac Magnetic Resonance. ICIP 2022: 2876-2880 - [c60]Qiyu Wei, Xulei Yang, Tong Sang, Huijiao Wang, Xiaofeng Zou, Zhongyao Cheng, Ziyuan Zhao, Zeng Zeng:
Latent Vector Prototypes Guided Conditional Face Synthesis. ICIP 2022: 3898-3902 - [c59]Chuanjun Wang, Weiwei Miao, Zeng Zeng, Shihao Li, Jing Jin, Huijun Yang:
Research on a non-intrusive electrical load intelligent identification algorithm. ICISCAE 2022: 685-689 - [c58]Ziyuan Zhao, Peisheng Qian, Yubo Hou, Zeng Zeng:
Adaptive Mean-Residue Loss for Robust Facial Age Estimation. ICME 2022: 1-6 - [c57]Lei Wang, Wei Zhao, Tong Sang, Yiheng Che, Zeng Zeng:
Fabric Image Layering Based on Kmeans-AP. ICVIP 2022: 144-148 - [c56]Ziyuan Zhao, Fangcheng Zhou, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation. MICCAI (5) 2022: 128-139 - [c55]Yuxuan Chen, Yilong Guo, Zeng Zeng, Xiaofeng Zou, Yangfan Li, Cen Chen:
Topology-Aware Quantization Strategy via Personalized PageRank for Graph Neural Networks. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 961-968 - [c54]Kun Liang, Wei Zhao, Heng Qian, Yanan Liu, Zeng Zeng:
Hand Movement Classification from Spatio-Temporal Sensory Data Based on Hybrid Random Forest Deep Learning. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1560-1567 - [c53]Hanbo Fu, Zhengqing Zhou, Zeng Zeng, Tong Sang, Yaxin Zhu, Xiaoyan Zheng:
Surface Defect Detection Based on ResNet Classification Network with GAN Optimized. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1568-1575 - [i33]Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan:
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. CoRR abs/2203.12454 (2022) - [i32]Ziyuan Zhao, Peisheng Qian, Yubo Hou, Zeng Zeng:
Adaptive Mean-Residue Loss for Robust Facial Age Estimation. CoRR abs/2203.17156 (2022) - [i31]Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan:
Self-supervised Assisted Active Learning for Skin Lesion Segmentation. CoRR abs/2205.07021 (2022) - [i30]Kaixin Xu, Liyang Liu, Ziyuan Zhao, Zeng Zeng, Bharadwaj Veeravalli:
Object-Aware Self-supervised Multi-Label Learning. CoRR abs/2205.07028 (2022) - [i29]Yaxin Zhu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng:
Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling. CoRR abs/2205.10757 (2022) - [i28]Yiming Yao, Peisheng Qian, Ziyuan Zhao, Zeng Zeng:
Residual Channel Attention Network for Brain Glioma Segmentation. CoRR abs/2205.10758 (2022) - [i27]Ziyuan Zhao, Jinxuan Hu, Zeng Zeng, Xulei Yang, Peisheng Qian, Bharadwaj Veeravalli, Cuntai Guan:
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation. CoRR abs/2207.01883 (2022) - [i26]Ziyuan Zhao, Andong Zhu, Zeng Zeng, Bharadwaj Veeravalli, Cuntai Guan:
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation. CoRR abs/2207.01900 (2022) - [i25]Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation. CoRR abs/2212.02078 (2022) - 2021
- [j35]Weiwei Miao, Zhengyang Ding, Hao Tang, Zeng Zeng, Mingxuan Zhang, Shaqian Zhang:
A Seq2Seq Learning Approach for Link Quality Estimation Based on System Metrics in WSNs. IEEE Access 9: 44207-44216 (2021) - [j34]Zeng Zeng, Meiya Dong, Weiwei Miao, Mingming Zhang, Hao Tang:
A Data-Driven Approach for Blockchain-Based Smart Grid System. IEEE Access 9: 70061-70070 (2021) - [j33]Jianxi Yang, Fei Yang, Likai Zhang, Ren Li, Shixin Jiang, Guiping Wang, Le Zhang, Zeng Zeng:
Bridge health anomaly detection using deep support vector data description. Neurocomputing 444: 170-178 (2021) - [j32]Bo Zhang, Zeng Zeng, Xiupeng Shi, Jianxi Yang, Bharadwaj Veeravalli, Keqin Li:
A novel cooperative resource provisioning strategy for Multi-Cloud load balancing. J. Parallel Distributed Comput. 152: 98-107 (2021) - [j31]Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Nonlinear Regression via Deep Negative Correlation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 982-998 (2021) - [j30]Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen:
Ordered or Orderless: A Revisit for Video Based Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1460-1466 (2021) - [j29]Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Correction to "Nonlinear Regression via Deep Negative Correlation Learning". IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2172 (2021) - [j28]Waseem Ahmad, Bang Wang, Han Xu, Minghua Xu, Zeng Zeng:
Topics, Sentiments, and Emotions Triggered by COVID-19-Related Tweets from IRAN and Turkey Official News Agencies. SN Comput. Sci. 2(5): 394 (2021) - [j27]Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng:
Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems Using Multi-objective Reinforcement Learning. ACM Trans. Cyber Phys. Syst. 5(4): 34:1-34:24 (2021) - [j26]Zhenghua Chen, Min Wu, Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng, Xiaoli Li:
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 803-812 (2021) - [j25]Yangfan Li, Cen Chen, Mingxing Duan, Zeng Zeng, Kenli Li:
Attention-Aware Encoder-Decoder Neural Networks for Heterogeneous Graphs of Things. IEEE Trans. Ind. Informatics 17(4): 2890-2898 (2021) - [j24]Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng:
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network. ACM Trans. Intell. Syst. Technol. 12(2): 25:1-25:22 (2021) - [j23]Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan:
DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation. IEEE J. Biomed. Health Informatics 25(10): 3744-3751 (2021) - [c52]Changzhi Teng, Mingxuan Zhang, Zeng Zeng, Zhen Zhang, Yusen Zhou, Wenjia Wu:
Wi-SL: A Secure Lightweight WiFi Transmission Mechanism for IoT Devices. CBD 2021: 255-260 - [c51]Rui Zhang, Weiwei Miao, Jin Huang, Zeng Zeng, Changzhi Teng, Shihao Li, Zhen Zhang, Mingxuan Zhang:
A IoT Terminal Position Recognition Method Based on RSSI and Magnetic Field in A Low Trust Environment. CBD 2021: 327-332 - [c50]Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li:
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading. EMBC 2021: 2115-2118 - [c49]Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan:
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation. EMBC 2021: 3395-3398 - [c48]Ziyuan Zhao, Zeyu Ma, Yanjie Liu, Zeng Zeng, Pierce K. H. Chow:
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation. EMBC 2021: 3582-3585 - [c47]Yu-qing Yang, Weiwei Miao, Zeng Zeng:
The Application of Beidou and Ultra-Broadband Positioning Technology in the Power Security Protection System. ICBDS 2021: 171-182 - [c46]Way Tan, Bihan Wen, Cen Chen, Zeng Zeng, Xulei Yang:
Systematic Analysis of Circular Artifacts for Stylegan. ICIP 2021: 3902-3906 - [c45]Yitong Zhou, Bowen Peng, Jingmian Wang, Weiwei Miao, Zeng Zeng, Yibo Jin, Sheng Zhang, Zhuzhong Qian:
TRAN: Task Replication with Guarantee via Multi-armed Bandit. ICPADS 2021: 340-347 - [c44]Shihao Li, Weiwei Miao, Zeng Zeng, Lei Wei, Chengling Jiang, Chuanjun Wang, Mingxuan Zhang:
Multi-Job Multi-Edge Allocation in Edge Computing Environments. INFOCOM Workshops 2021: 1-2 - [c43]Weiwei Miao, Zeng Zeng, Mingxuan Zhang, Siping Quan, Zhen Zhang, Shihao Li, Li Zhang, Qi Sun:
Workload Prediction in Edge Computing based on Graph Neural Network. ISPA/BDCloud/SocialCom/SustainCom 2021: 1663-1666 - [c42]Zeng Zeng, Weiwei Miao, Shihao Li, Xiaoyun Liao, Mingxuan Zhang, Rui Zhang, Changzhi Teng:
Adaptive Task Scheduling in Cloud-Edge System for Edge Intelligence Application. ISPA/BDCloud/SocialCom/SustainCom 2021: 1682-1689 - [c41]Weiwei Miao, Zeng Zeng, Mingxuan Zhang, Siping Quan, Zhen Zhang, Shihao Li, Li Zhang, Qi Sun:
Multi-Agent Reinforcement Learning for Edge Resource Management with Reconstructed Environment. ISPA/BDCloud/SocialCom/SustainCom 2021: 1729-1736 - [c40]Weiwei Miao, Zeng Zeng, Shihao Li, Lei Wei, Chengling Jiang, Siping Quan, Yong Li:
Microservice Replacement Algorithm in Cloud-Edge System for Edge Intelligence. ISPA/BDCloud/SocialCom/SustainCom 2021: 1737-1744 - [c39]Kun Wu, Yibo Jin, Weiwei Miao, Zeng Zeng, Zhuzhong Qian, Jingmian Wang, Mingxian Zhou, Tuo Cao:
Soudain: Online Adaptive Profile Configuration for Real-time Video Analytics. IWQoS 2021: 1-10 - [c38]Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan:
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. MICCAI (1) 2021: 293-303 - [i24]Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng:
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network. CoRR abs/2101.07425 (2021) - [i23]Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng:
Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning. CoRR abs/2101.07437 (2021) - [i22]Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan:
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation. CoRR abs/2101.09057 (2021) - [i21]Chen Chai, Juanwu Lu, Xuan Jiang, Xiupeng Shi, Zeng Zeng:
An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance. CoRR abs/2103.08311 (2021) - [i20]Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan:
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation. CoRR abs/2105.10369 (2021) - [i19]Ziyuan Zhao, Zeyu Ma, Yanjie Liu, Zeng Zeng, Pierce K. H. Chow:
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation. CoRR abs/2108.06761 (2021) - [i18]Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li:
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading. CoRR abs/2108.06763 (2021) - 2020
- [j22]Mingxuan Zhang, Weiwei Miao, Jian Dang, Zhengyang Ding, Shaqian Zhang, Zeng Zeng, Hao Tang, Mengting Wu, Zaichen Zhang, Liang Wu:
Overlapped universal filtered multicarrier system for uplink wireless communication. Int. J. Commun. Syst. 33(1) (2020) - [j21]Xiao Fu, Kenli Li, Jing Liu, Keqin Li, Zeng Zeng, Cen Chen:
A two-stage attention aware method for train bearing shed oil inspection based on convolutional neural networks. Neurocomputing 380: 212-224 (2020) - [j20]Jianxi Yang, Likai Zhang, Cen Chen, Yangfan Li, Ren Li, Guiping Wang, Shixin Jiang, Zeng Zeng:
A hierarchical deep convolutional neural network and gated recurrent unit framework for structural damage detection. Inf. Sci. 540: 117-130 (2020) - [j19]Zeng Zeng, Hang Che, Weiwei Miao, Jin Huang, Hao Tang, Mingxuan Zhang, Shaqian Zhang:
Towards secure and network state aware bitrate adaptation at IoT edge. J. Cloud Comput. 9: 38 (2020) - [j18]Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Keqin Li, Zeng Zeng:
Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks. ACM Trans. Knowl. Discov. Data 14(4): 42:1-42:23 (2020) - [c37]Weiwei Miao, Zeng Zeng, Chuanjun Wang, Yueqin Chen, Chunhe Song:
Efficient and Accurate Classification Enabled by a Lightweight CNN. ICCCS 2020: 989-992 - [c36]Ziyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli, Zeng Zeng:
Deeply Supervised Active Learning for Finger Bones Segmentation. EMBC 2020: 1620-1623 - [c35]Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng:
Multi-Target Deep Learning for Algal Detection and Classification. EMBC 2020: 1954-1957 - [c34]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, Pierce K. H. Chow:
Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma. EMBC 2020: 5814-5817 - [c33]Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce K. H. Chow:
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma. EMBC 2020: 6095-6098 - [c32]Wei Hu, Chongwei Zheng, Yonghao Wang, Jin Zhang, Cen Chen, Zeng Zeng:
Efficient Design of Hybrid Half-band Multi-stage Filter Based on Simulated Annealing Algorithm. HPCC/DSS/SmartCity 2020: 513-518 - [c31]Pei Yang, Jing Liu, Cen Chen, Yucheng Ding, Chunhua Deng, Zeng Zeng:
An Efficient Low Delay Task Scheduling Algorithm Based on Ant Colony System in Heterogeneous Environments. HPCC/DSS/SmartCity 2020: 519-524 - [c30]Jing Liu, Yifu Zhang, Yang Liu, Pei Yang, Cen Chen, Ziqi Zhu, Zeng Zeng:
A Balanced Cost Fault-Tolerant Scheduling Algorithm in Heterogeneous Real-Time Systems. HPCC/DSS/SmartCity 2020: 688-693 - [c29]Wei Hu, Chongwei Zheng, Yonghao Wang, Jing Liu, Cen Chen, Zeng Zeng:
A Novel Economical Design of Multistage Decimators for Low Latency Audio Applications. HPCC/DSS/SmartCity 2020: 923-929 - [c28]Ziyuan Zhao, Kartik Chopra, Zeng Zeng, Xiaoli Li:
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading. ICIP 2020: 2496-2500 - [c27]Weiwei Miao, Zeng Zeng, Lei Wei, Shihao Li, Chengling Jiang, Zhen Zhang:
Adaptive DNN Partition in Edge Computing Environments. ICPADS 2020: 685-690 - [c26]Zeng Zeng, Shihao Li, Weiwei Miao, Lei Wei, Chengling Jiang, Chuanjun Wang, Mingxuan Zhang:
Efficient Edge Service Migration in Mobile Edge Computing. ICPADS 2020: 691-696 - [c25]Zhongyao Cheng, Juelin Zhu, Cen Chen, Xiaoxi Yu, Wu Fan, Li Yue, Zeng Zeng:
Robust Train Component Detection with Cascade Convolutional Neural Networks based on Structure Knowledge. ITSC 2020: 1-6 - [c24]Zeng Zeng, Yuze Jin, Weiwei Miao, Chuanjun Wang, Shihao Li, Peng Zhou, Hongli Zhou, Meiya Dong:
An Edge-Assisted Video Computing Framework for Industrial IoT. MobiCASE 2020: 53-67 - [c23]Lei Wei, Weiwei Miao, Zeng Zeng, Hesheng Sun, Zhuzhong Qian:
EDC: An Edge-Oriented Dynamic Resource Configuration Strategy. SpaCCS Workshops 2020: 3-14 - [i17]Ziyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli, Zeng Zeng:
Deeply Supervised Active Learning for Finger Bones Segmentation. CoRR abs/2005.03225 (2020) - [i16]Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng:
Multi-Target Deep Learning for Algal Detection and Classification. CoRR abs/2005.03232 (2020) - [i15]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, Pierce K. H. Chow:
Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma. CoRR abs/2005.04069 (2020) - [i14]Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce K. H. Chow:
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma. CoRR abs/2005.04073 (2020) - [i13]Jianxi Yang, Likai Zhang, Cen Chen, Yangfan Li, Ren Li, Guiping Wang, Shixin Jiang, Zeng Zeng:
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection. CoRR abs/2006.01045 (2020) - [i12]Ziyuan Zhao, Kartik Chopra, Zeng Zeng, Xiaoli Li:
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading. CoRR abs/2010.15344 (2020) - [i11]Xiupeng Shi, Yiik Diew Wong, Chen Chai, Michael Zhi-Feng Li, Tianyi Chen, Zeng Zeng:
Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road. CoRR abs/2011.11933 (2020)
2010 – 2019
- 2019
- [j17]Mingxuan Zhang, Weiwei Miao, Yiting Shen, Jin Huang, Shaqian Zhang, Zeng Zeng, Hao Tang, Liang Wu, Zaichen Zhang, Jian Dang:
Joint spatial modulation and beamforming based on statistical channel state information for hybrid massive MIMO communication systems. IET Commun. 13(10): 1458-1464 (2019) - [j16]Zeng Zeng, Xulei Yang, Yu Qiyun, Yao Meng, Le Zhang:
SeSe-Net: Self-Supervised deep learning for segmentation. Pattern Recognit. Lett. 128: 23-29 (2019) - [c22]Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng:
Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. AAAI 2019: 485-492 - [c21]Akshaya Balamurugan, Sin G. Teo, Jianxi Yang, Zhongbo Peng, Xulei Yang, Zeng Zeng:
ResHNet: Spectrograms Based Efficient Heart Sounds Classification Using Stacked Residual Networks. BHI 2019: 1-4 - [c20]Zhenghua Chen, Min Wu, Jiyan Wu, Jie Ding, Zeng Zeng, Karl Surmacz, Xiaoli Li:
A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data. BHI 2019: 1-4 - [c19]Savitha Rani Ravichandran, Balaji Nataraj, Su Huang, Zhiliang Qin, Zhongkang Lu, Akie Katsuki, Weimin Huang, Zeng Zeng:
3D Inception U-Net for Aorta Segmentation using Computed Tomography Cardiac Angiography. BHI 2019: 1-4 - [c18]Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. BHI 2019: 1-4 - [c17]Ramanpreet Singh Pahwa, Vijay Ramaseshan Chandrasekhar, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng:
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. ITSC 2019: 559-566 - [c16]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:
Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN). SoCC 2019: 394-399 - [i10]Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. CoRR abs/1903.04778 (2019) - [i9]Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng:
Robust Regression via Deep Negative Correlation Learning. CoRR abs/1908.09066 (2019) - [i8]Malay Singh, Emarene Mationg Kalaw, Jie Wang, Mundher Al-Shabi, Chin Fong Wong, Danilo Medina Giron, Kian-Tai Chong, Maxine Tan, Zeng Zeng, Hwee Kuan Lee:
Cribriform pattern detection in prostate histopathological images using deep learning models. CoRR abs/1910.04030 (2019) - [i7]Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng, Vijay Ramaseshan Chandrasekhar:
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. CoRR abs/1912.04219 (2019) - [i6]Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen:
Ordered or Orderless: A Revisit for Video based Person Re-Identification. CoRR abs/1912.11236 (2019) - 2018
- [j15]Yu Lu, Zeng Zeng, Huayu Wu, Gim Guan Chua, Jingjing Zhang:
An intelligent system for taxi service: Analysis, prediction and visualization. AI Commun. 31(1): 33-46 (2018) - [j14]Zeng Zeng, Nanying Liang, XuLei Yang, Steven C. H. Hoi:
Multi-target deep neural networks: Theoretical analysis and implementation. Neurocomputing 273: 634-642 (2018) - [j13]Cen Chen, Kenli Li, Aijia Ouyang, Zeng Zeng, Keqin Li:
GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. IEEE Trans. Parallel Distributed Syst. 29(6): 1275-1288 (2018) - [c15]Qiwen Que, Ze Tang, Ruoshi Wang, Zeng Zeng, Jie Wang, Matthew Chua, Sin Gee Teo, Xulei Yang, Bharadwaj Veeravalli:
CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning. EMBC 2018: 612-615 - [c14]Shobhit Sandeep Jaipurkar, Jie Wang, Zeng Zeng, Sin Gee Teo, Bharadwaj Veeravalli, Matthew Chua:
Automated Classification Using End-to-End Deep Learning. EMBC 2018: 706-709 - [c13]Xulei Yang, Hangxing Li, Li Wang, Si Yong Yeo, Yi Su, Zeng Zeng:
Skin Lesion Analysis By Multi-Target Deep Neural Networks. EMBC 2018: 1263-1266 - [c12]Shuang Leng, Xulei Yang, Xiaodan Zhao, Zeng Zeng, Yi Su, Angela S. Koh, David Sim, Ju Le Tan, Ru San Tan, Liang Zhong:
Computational Platform Based on Deep Learning for Segmenting Ventricular Endocardium in Long-axis Cardiac MR Imaging. EMBC 2018: 4500-4503 - [c11]Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng:
Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. ICDM 2018: 893-898 - [c10]Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi:
Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. KDD 2018: 923-931 - [i5]Minggang Zeng, Jatin Nitin Kumar, Zeng Zeng, Ramasamy Savitha, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar:
Graph Convolutional Neural Networks for Polymers Property Prediction. CoRR abs/1811.06231 (2018) - 2017
- [j12]XuLei Yang, Zeng Zeng, Yi Su:
Deep convolutional neural networks for automatic segmentation of left ventricle cavity from cardiac magnetic resonance images. IET Comput. Vis. 11(8): 643-649 (2017) - [c9]Zeng Zeng, Bharadwaj Veeravalli, Samee U. Khan, Sin G. Teo:
Cloud-of-clouds based resource provisioning strategy for continuous write applications. APCC 2017: 1-6 - [i4]XuLei Yang, Zeng Zeng, Si Yong Yeo, Colin Tan, Hong Liang Tey, Yi Su:
A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification. CoRR abs/1703.01025 (2017) - [i3]Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar:
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. CoRR abs/1705.09435 (2017) - [i2]Zhe Wang, 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, Ngai-Man Cheung, Georgios Piliouras, Jie Lin, Vijay Chandrasekhar:
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. CoRR abs/1706.05461 (2017) - [i1]Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Jung-Jae Kim, Zeng Zeng, Vijay Chandrasekhar:
End-to-End Video Classification with Knowledge Graphs. CoRR abs/1711.01714 (2017) - 2016
- [j11]Zeng Zeng, Tram Truong Huu, Bharadwaj Veeravalli, Chen-Khong Tham:
Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds. Clust. Comput. 19(2): 601-614 (2016) - 2014
- [j10]Zeng Zeng, Bharadwaj Veeravalli:
Optimal metadata replications and request balancing strategy on cloud data centers. J. Parallel Distributed Comput. 74(10): 2934-2940 (2014) - [j9]Frank M. L. van der Goes, Christopher M. Ward, Santosh Astgimath, Han Yan, Jeff Riley, Zeng Zeng, Jan Mulder, Sijia Wang, Klaas Bult:
A 1.5 mW 68 dB SNDR 80 Ms/s 2 × Interleaved Pipelined SAR ADC in 28 nm CMOS. IEEE J. Solid State Circuits 49(12): 2835-2845 (2014) - [j8]Menglan Hu, Jun Luo, Yang Wang, Martin Lukasiewycz, Zeng Zeng:
Holistic Scheduling of Real-Time Applications in Time-Triggered In-Vehicle Networks. IEEE Trans. Ind. Informatics 10(3): 1817-1828 (2014) - 2012
- [c8]Michiel A. P. Pertijs, Zeng Zeng, Devrez M. Karabacak, Mercedes Crego Calama, Sywert H. Brongersma:
An energy-efficient interface for resonant sensors based on ring-down measurement. ISCAS 2012: 990-993 - [c7]Zeng Zeng, Bharadwaj Veeravalli:
Do More Replicas of Object Data Improve the Performance of Cloud Data Centers? UCC 2012: 39-46 - 2011
- [j7]Zeng Zeng, Bharadwaj Veeravalli, Kenli Li:
A novel server-side proxy caching strategy for large-scale multimedia applications. J. Parallel Distributed Comput. 71(4): 525-536 (2011) - [j6]Xiaoyong Tang, Kenli Li, Zeng Zeng, Bharadwaj Veeravalli:
A Novel Security-Driven Scheduling Algorithm for Precedence-Constrained Tasks in Heterogeneous Distributed Systems. IEEE Trans. Computers 60(7): 1017-1029 (2011)
2000 – 2009
- 2009
- [j5]Zeng Zeng, Bharadwaj Veeravalli:
A novel distributed architecture of large-scale multimedia storage system using autonomous object-based storage devices. J. Parallel Distributed Comput. 69(4): 349-359 (2009) - 2008
- [j4]Zeng Zeng, Bharadwaj Veeravalli:
On the Design of Distributed Object Placement and Load Balancing Strategies in Large-Scale Networked Multimedia Storage Systems. IEEE Trans. Knowl. Data Eng. 20(3): 369-382 (2008) - [c6]Zeng Zeng, Bharadwaj Veeravalli:
Hk/T: A Novel Server-Side Web Caching Strategy for Multimedia Applications. ICC 2008: 1782-1786 - [r1]Bharadwaj Veeravalli, Zeng Zeng:
Large-Scale Object-Based Multimedia Storage Systems. Encyclopedia of Multimedia 2008: 400 - 2006
- [j3]Zeng Zeng, Bharadwaj Veeravalli:
Distributed scheduling strategy for divisible loads on arbitrarily configured distributed networks using load balancing via virtual routing. J. Parallel Distributed Comput. 66(11): 1404-1418 (2006) - [j2]Zeng Zeng, Bharadwaj Veeravalli:
Design and Performance Evaluation of Queue-and-Rate-Adjustment Dynamic Load Balancing Policies for Distributed Networks. IEEE Trans. Computers 55(11): 1410-1422 (2006) - [c5]Bharadwaj Veeravalli, Zeng Zeng, Neeraj Gupta, Guoguang Jia:
Network-based Caching Algorithms for Reservation-based Multimedia Systems. GCC 2006: 107-112 - [c4]Zeng Zeng, Bharadwaj Veeravalli:
A Replica-Conscious Load Balancing Strategy for Large-Scale Multimedia Storage Systems. GLOBECOM 2006 - [c3]Zeng Zeng, Bharadwaj Veeravalli, Jaideep Srivastava:
Design and Performance Evaluation of Fail-over and Recovery Strategies for Large-Scale Multimedia Storage Systems. ICON 2006: 1-6 - 2004
- [j1]Zeng Zeng, Bharadwaj Veeravalli:
Design and analysis of a non-preemptive decentralized load balancing algorithm for multi-class jobs in distributed networks. Comput. Commun. 27(7): 679-693 (2004) - [c2]Zeng Zeng, Bharadwaj Veeravalli:
Divisible Load Scheduling on Arbitrary Distributed Networks via Virtual Routing Approach. ICPADS 2004: 161- - [c1]Zeng Zeng, Bharadwaj Veeravalli:
Rate-Based and Queue-Based Dynamic Load Balancing Algorithms in Distributed Systems. ICPADS 2004: 349-
Coauthor Index
Vijay Chandrasekhar 0001
aka: Vijay Ramaseshan Chandrasekhar
aka: Vijay Ramaseshan Chandrasekhar
Xulei Yang
aka: XuLei Yang
aka: XuLei Yang
[i38] [j54] [j52] [j51] [c83] [c82] [i37] [i36] [j44] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c65] [c64] [c62] [c60] [c58] [c56] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [j23] [c50] [c49] [c48] [c38] [i22] [i20] [i19] [i18] [c36] [c35] [c34] [c33] [c28] [i17] [i16] [i15] [i14] [i12] [c18] [i10]
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