*  **Project one**   (extended to Nov 18)

   *   **Project Two**: Your project 2 report will be submitted as a CS conference paper. You may use any latex temple from CVPR, ACL, ICML, etc.  It is expected to be 6-8 pages (double-columned). I will mark your report as a conference reviewer based on format, writing style, work quality, extra additions to the existing methods, etc..
      - **Hemanth Pidaparthy**: Image retrieval using SIFT or HOG features and auto-encoders 
      - **Yifan Li**: Group-level mobility modelling with Markov models
      - **Feng Wei**: Using neural networks for entity linking
      - **Hao Li**: Learning char-level neural networks for morphology 
      - **Jack Wu**: Learning neural networks for arithmetic operations
      - **Chao Wang**: Building end-to-end conversation models using neural networks
      - **Leihan Chen**: Image segmentation through conditional random fields
      - **Meng Jia**: Using neural networks to predict depth from video frames
      - **Mahdieh Abbaszadegan**: HMM-based 2D Basecalling using MinION sequencers
      - **Eunkyung Park**: Using topic models for trend analysis from news articles
      - **Yangguang Li**: Studying various machine learning methods for software bug prediction
      - **Matthew Tesfaldet**: CNN-based static and dynamic texture synthesize
      - **Gong Cheng**: Studying various learning methods for texture classification
      - **Po Wu**: Person re-identification via metric learning