CSE6327

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• 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..
  1. Hemanth Pidaparthy: Use CNNs + LSTMs for object detection
  2. Yifan Li: Group-level mobility modelling with Markov models
  3. Feng Wei: Using neural networks for entity linking
  4. Hao Li: Learning char-level neural networks for morphology
  5. Jack Wu: Learning neural networks for arithmetic operations
  6. Chao Wang: Building end-to-end conversation models using neural networks
  7. Leihan Chen: Image segmentation through conditional random fields
  8. Meng Jia: Using neural networks to predict depth from video frames
  9. Mahdieh Abbaszadegan: HMM-based 2D Basecalling using MinION sequencers
  10. Eunkyung Park: Using topic models for trend analysis from news articles
  11. Yangguang Li: Studying various machine learning methods for software bug prediction
  12. Matthew Tesfaldet: CNN-based static and dynamic texture synthesize