Lin Wang

PhD Candidate, supervised by Prof. Xingfu Wang
School of Computer Science and Technology, University of Science and Technology of China

Email: xiaquhet@mail.ustc.edu.cn

Address: 513 Electronic 3 Building, West Campus, University of Science and Technology of China, Hefei, Anhui, China, 230027

Biography

Programming: CUDA, Python, Matlab, Java
Algorithm: DNN, HMM, CRF Traning, Viterbi Decoding
Open source Toolkit: HTK, Sphinx, Kaldi, Julius

Publications

  1. Yuan Zu, Ming Yang, Zhonghu Xu, Lin Wang, Xin Tian, Kunyang Peng, and Qunfeng Dong, "GPU-based NFA Implementation for Memory Efficient High Speed Regular Expression Matching," 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), Feb 2012. [Full text]
  2. Lin Wang, Ammar Hawbani, and Xingfu Wang, "Focused Deep Web Entrance Crawling by Form Feature Classification," 1st International Conference on Big Data Computing and Communication (BigCom), 2015. [Full text]
  3. Lin Wang, Jing Chen, Litao Wu, and Xingfu Wang, "Toward A Better Understanding of Deep Neural Network Based Acoustic Speech Modelling: An Empirical Investigation," 30th AAAI Conference on Artificial Intelligence (AAAI-16), accepted. [Full text] [Code]
  4. Ammar Hawbani, Xingfu Wang, Saleem Karmoshi, Lin Wang, and Naji Husaini, "Sensors Grouping Hierarchy Structure (GHS) for Wireless Sensor Network," International Journal of Distributed Sensor Networks, 2015(05). [Full text]
  5. Lin Wang, Xingfu Wang, and Yunkai Du, "Automatic Identifying Query Interface in Vertical Crawling by Hierarchical Classification," Journal of Chinese Computer Systems (2015), accepted. [Full text]
  6. Lin Wang, Xingfu Wang, and Yunkai Du, "Improve Decoding Performance of N-gram Language Model with Double Discrimination Upon Confusion Networks," Chinese Journal of Electronics (2015), under review. [Full text]

Services

  • Currently, I serve as a reviewer for Elsevier's Pattern Recognition, Any other review recommendations or invitations when you have works submitted to journals related to pattern recognition or deep learning are highly welcome.

Activities

2014 To be edited

Courses

2013 Spring To be added

Demos


*Last updated on March 2015.