曾锃 教授

  邮箱：zeng_zeng@hotmail.com

  赌博正规的十大网站(中国)有限公司

导师介绍：

负责人工智能在半导体核心领域的研发工作，包括半导体设备、工艺流程设计、半导体器件等，获得新加坡政府与中、美、德、奥地利等国大型国际科技企业合作，获国际知识产权二十余项。2011-2014年于新加坡国立大学任资深研究员，主要负责“云中云计算系统”中的资源调度算法的研究、网络传输协议的研究、以及系统的分级优化等。在国际著名学术期刊及人工智能专业会议，发表论文100余篇，包括IEEE T-PAMI，TC, TKDE, TPDS, TNNLS, ACM TKDD, Neurcomputing, ICDM, AAAI，DAC等；担任Neurocomputing, Journal of Parallel and Distributed Computing, Journal of System Architecture等国际著名期刊的客座主编；中新联合国家自然基金首席科学家（2017-2020），IEEE资深会员，新加坡人工智能人才特殊津贴获得者。

招收应用物理、数据统计分析、计算机科学、计算机仿真、机器学习等相关专业背景的硕士、博士研究生及博士后。

研究方向：

半导体虚拟工艺、半导体智能制造、半导体故障检测和溯源等

教育背景：

2001年7月-2004年11月博士，计算机科学与技术，新加坡国立大学，导师：Bharadwaj Veeravalli

1997年9月-2000年7月硕士，系统工程，华中科技大学，导师：田忠和

1993年9月-1997年7月学士，自动控制，华中理工大学，导师：田忠和

工作经历：

2021年9月至今 教授，公司

2015年9月-2021年8月 资深科学家，新加坡科学技术局

2011年1月-2015年8月 创始人兼技术总监（兼职），新加坡知金科技有限公司，创业公司

2011年11月-2014年7月 资深研究员，新加坡国立大学

2005年5月-2011年11月 副教授，湖南大学

科研成果及获奖情况：

在相关领域发表SCI论文100余篇，获得授权专利20项

近五年代表性论文：

1. 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," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 3, pp. 982-998, 1 March 2021, doi: 10.1109/TPAMI.2019.2943860. (IF=17.861)

2. Zeng Zeng, Nanying Liang, Xulei Yang, Steven Hoi, Multi-target deep neural networks: Theoretical analysis and implementation, Neurocomputing, Volume 273, 2018, Pages 634-642, ISSN 0925-2312,https://doi.org/10.1016/j.neucom.2017.08.044.(IF=4.438)

3. Chen, C., Li, K., Teo, S. G., Zou, X., Wang, K., Wang, J., &Zeng, Z.* (2019). Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 485-492.https://doi.org/10.1609/aaai.v33i01.3301485. (IF=2.441)

4. Y. Li, C. Chen, M. Duan,Z. Zeng*and K. Li, "Attention-Aware Encoder–Decoder Neural Networks for Heterogeneous Graphs of Things," in IEEE Transactions on Industrial Informatics, vol. 17, no. 4, pp. 2890-2898, April 2021, doi: 10.1109/TII.2020.3025592. (IF=7.377)

5. Zeng Zeng, Yang Xulei, Yu Qiyun, Yao Meng, Zhang Le, SeSe-Net: Self-Supervised deep learning for segmentation, Pattern Recognition Letters, Volume 128, 2019, Pages 23-29, ISSN 0167-8655,https://doi.org/10.1016/j.patrec.2019.08.002.(IF=3.255)

6. 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," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 4, pp. 1460-1466, 1 April 2021, doi: 10.1109/TPAMI.2020.2976969. (IF=17.861)

7. Cen Chen, Kenli Li, Xiaofeng Zou, Zhongyao Cheng, Wei Wei, Qi Tian,Zeng Zeng*, "Hierarchical Semantic Graph Reasoning for Train Component Detection," in IEEE Transactions on Neural Networks and Learning Systems, 2021, doi: 10.1109/TNNLS.2021.3057792. (IF=11.683)

8. C. Chen, K. Li, C. Zhongyao, F. Piccialli, S. C. H. Hoi andZ. Zeng*, "A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2020.3034239. (IF=3.754)

9. C. Chen, X. Zou,Z. Zeng*, Z. Cheng, L. Zhang and S. C. H. Hoi, "Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains," in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2020.2998126. (IF=11.470)

10. Xulei Yang,Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, and Steven Hoi. 2018. Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '18). Association for Computing Machinery, New York, NY, USA, 923–931. DOI:https://doi.org/10.1145/3219819.3219907. (IF=3.857)

11. 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," 2018 IEEE International Conference on Data Mining (ICDM), Singapore, 2018, pp. 893-898, doi: 10.1109/ICDM.2018.00107. (IF=3.049)

12. Zeng, Z., Truong-Huu, T., Veeravalli, B. et al. Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds. Cluster Comput 19, 601–614 (2016).https://doi.org/10.1007/s10586-016-0543-3.(IF=3.458)

13. Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, andZeng Zeng*. Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network. ACM Trans. Intell. Syst. Technol. 12, 2, Article 25 (March 2021), 22 pages. DOI:https://doi.org/10.1145/3446342. (IF=3.971)

14. 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, 2021, ISSN 0925-2312,https://doi.org/10.1016/j.neucom.2020.08.087.(IF=4.438)

15. 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, Information Sciences, Volume 540, 2020, Pages 117-130, ISSN 0020-0255,https://doi.org/10.1016/j.ins.2020.05.090.(IF=5.910)

16. Cheng Zhongyao, Zhu Juelin, Chen Cen, Yu Xiaoxi, Wu Fan, Li Yue,Zeng Zeng*, "Robust Train Component Detection with Cascade Convolutional Neural Networks based on Structure Knowledge," 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, 2020, pp. 1-6, doi: 10.1109/ITSC45102.2020.9294755. (IS=5.45)

17. Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Keqin Li, andZeng Zeng. 2020. Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks. ACM Trans. Knowl. Discov. Data 14, 4, Article 42 (July 2020), 23 pages. DOI:https://doi.org/10.1145/3385414. (IF=3.177)

18. Zhiliang Qin, Chen Cen, Wang Jie, Teo Sin Gee, Vijay Ramaseshan Chandrasekhar, Zhongbo Peng,Zeng Zeng*, "Knowledge-Graph Based Multi-Target Deep-Learning Models for Train Anomaly Detection," 2018 International Conference on Intelligent Rail Transportation (ICIRT), Singapore, 2018, pp. 1-5, doi: 10.1109/ICIRT.2018.8641687. (IF=1.940)

19. Bo Zhang,Zeng Zeng*, Xiupeng Shi, Jianxi Yang, Bharadwaj Veeravalli, Keqin Li, A novel cooperative resource provisioning strategy for Multi-Cloud load balancing, Journal of Parallel and Distributed Computing, Volume 152, 2021, Pages 98-107, ISSN 0743-7315,https://doi.org/10.1016/j.jpdc.2021.02.003.(IF=2.296)

20. C. Chen, K. Li, A. Ouyang,Z. Zeng and K. Li, "GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data," in IEEE Transactions on Parallel and Distributed Systems, vol. 29, no. 6, pp. 1275-1288, 1 June 2018, doi: 10.1109/TPDS.2018.2794343. (IF=5.495)