Libo Zhang

Dr. Libo Zhang, Associate Research Professor

Computer Vision Scientist

Intelligent Software Research Center, Institute of Software, Chinese Academy of Sciences, Beijing, China.

Email: libo@iscas.ac.cn, zsmj@hotmail.com

[Google Scholar]

News

  • One paper is accepted by ACM MM, 2019.
  • One paper is accepted by AAAI, 2018.
  • One paper is accepted by IEEE Transactions on Cybernetics, 2018.

Educations

09/2015~06/2017 Ph.D in Computer Software and Theory, University of Chinese Academy of Sciences

09/2012~06/2015 M.S. in Electrical Engineering, University of Electronic Science and Technology of China

09/2007~06/2011 B.S. in Microelectronics, Anhui University

Research Interests

  • Computer Vision, Machine Learning, Deep Learning
  • Visual Tracking, Video Segmentation, Medical Imaging Processing

Publications

  1. Data Priming Network for Automatic Check-Out. ACM MM2019.
  2. Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently. AAAI 2019.
  3. Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine. Complexity, 2018.
  4. Dual encoding for abstractive text summarization. IEEE transactions on cybernetics, 2018.
  5. Multi-agent Communication with Attentional and Recurrent Message Integration. 2018 IEEE Symposium on Computers and Communications, 2018.
  6. Learning to Communicate via Supervised Attentional Message Processing. Proceedings of the 31st International Conference on Computer Animation and Social Agents, 2018.
  7. A Robust Localization, Slip Estimation, and Compensation System for WMR in the Indoor Environments. Symmetry, 2018.
  8. Deep reinforcement learning for extractive document summarization. Neurocomputing, 2018.
  9. 基于 Multi-GPU 平台的大规模图数据处理. 计算机研究与发展, 2018.
  10. Teaching Machines to Ask Questions. IJCAI 2018.
  11. Accelerating Core Decomposition in Large Temporal Networks Using GPUs. International Conference on Neural Information Processing, 2017.
  12. EpCom: A parallel community detection approach for epidemic diffusion over social networks. BIBM 2017.
  13. The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy. Journal of Visualized Experiments, 2017.
  14. An Obstacle Detection Method Based on Binocular Stereovision. Pacific Rim Conference on Multimedia, 2017.
  15. Learning Path Generation Method Based on Migration Between Concepts. International Conference on Knowledge Science, Engineering and Management, 2017.
  16. 一种基于链接和语义关联的知识图示化方法. 计算机研究与发展, 2018.
  17. 一种基于大规模知识库的语义相似性计算方法. 计算机研究与发展, 2018.
  18. A novel saliency detection method via manifold ranking and compactness prior. BIBM 2016.
  19. Semantic analysis based on human thought pattern. BIBM 2016.
  20. A framework for evaluating customer satisfaction. Software, Knowledge, Information Management & Applications (SKIMA), 2016 10th International Conference on.
  21. MLPF algorithm for tracking fast moving target against light interference. ICPR 2016.
  22. A fast filter tracker against serious occlusion. BIBM 2016.
  23. 计算机科学知识体系演化与评估方法. 中国科学院大学学报, 2016.
  24. Sliding-mode control of single input multiple output DC-DC converter. Review of Scientific Instruments, 2016.
  25. 一种均衡视频资源的分布存储方法. 中国科学院大学学报, 2016.
  26. Note: A manifold ranking based saliency detection method for camera. Review of Scientific Instruments, 2016.
  27. 中国科学院仪器共享管理系统的性能优化. 中国科学院大学学报, 2016.
  28. TACE: A Toolkit for Analyzing Concept Evolution in Computing Curricula. SEKE 2016.

Professional Acitivities

Technical Program Committee：

ACM Multimedia 2019

ACM Multimedia in Asia 2019

Journal Reviewer for ：

Review of Scientific Instruments , from 2016

International Journal of Control, from 2016

Computer Applications in Engineering Education, from 2016

IEEE Transactions on Big Data, from 2017

Neurocomputing, from 2017

Pattern Recognition, from 2019

Pattern Recognition Letters, from 2019

Journal of Visual Communication and Image Representation, from 2019

Awards and Honors

  • 2018 Zhu Liyuehua Excellent PhD Award, Chinese Academy of Sciences
  • 2017 Merit Student in University of Chinese Academy of Sciences
  • 2016 Merit Student in University of Chinese Academy of Sciences

Grant

  • National Natural Science Foundation of China (No. 61807033) 基于知识库的学习路径优化方法研究
  • National Natural Science Foundation of China (No. 81871829 ) 基于人工智能青少年特发性脊柱侧凸进展预测系统的研发