Differences

This shows you the differences between two versions of the page.

--- projects [2016/12/05 10:34] – hj
+++ projects [2019/08/22 21:24] (current) – hj
@@ Line 1: / Line 1: @@
-   *  **{{:project1.pdf|Project one}}**   (extended to Nov 18)
+   *  Project one
-   *   **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..
+   *   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
+  - **Yuchen Kang**: //Evaluating Defect Prediction Using Deep Learning//
+  - **Wenxiao Fu**: // Destination Prediction with A Bayesian Learning Method Using
+Gaussian Kernel//
+  - **Farzaneh Heidari**: //Dynamic Network Representation Learning//
+  - **Zana Rashidi**:  //Curiosity-driven Exploration by Self-supervised Prediction//
+  - **Abbas Masoumzadeh**: //Automated Particle Picking for Single Particle Cryo-EM//
+  - **Amin Omidvar**: //Automatic machine learning method for identifying clickbaits in online news media//
+  - **Joseph  Sanu**: //Unsupervised Learning from Videos with Siamese-triplet Networks//
+  - **Zihuan Zhang**:  //Bi-Directional Attention Flow (BIDAF) network for machine comprehension//
+  - **Yuping Lin**: //Unsupervised Feature Learning from Video Using Auto-Encoder//