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2020 – today
- 2021
[j23]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)- [i19]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) - [i18]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) - 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) - [c28]Ziyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli, Zeng Zeng:
Deeply Supervised Active Learning for Finger Bones Segmentation. EMBC 2020: 1620-1623 - [c27]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 - [c26]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 - [c25]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 - [c24]Ziyuan Zhao, Kartik Chopra, Zeng Zeng, Xiaoli Li:
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading. ICIP 2020: 2496-2500 - [c23]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 - [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, Wang Jie, 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, Wang Jie, 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-Enríquez, 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, Kim Jung Jae, 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
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