Master's Theses & Technical Reports - John F. Canny

M.S. | 5th Year M.S. | M.Eng.

M.S.

GPU Accelerated T-Distributed Stochastic Neighbor Embedding
David Chan [2020]

Bayesian Posterior Sampling via Stochastic Gradient Descent with Collisions
Quico Spaen [2019]

Deep-learning-based Machine Understanding of Sketches: Recognizing and Generating Sketches with Deep Neural Networks
Zifeng Huang [2019]

Risk Averse Robust Adversarial Reinforcement Learning
Xinlei Pan [2019]

Risk Averse Robust Adversarial Reinforcement Learning
Xinlei Pan [2019]

Lung Nodule Detection Using Convolutional Neural Networks
Jiaying Shi [2018]

Data Modeling and Interactive Visualization for Advertisement Auction Modeling
Biye Jiang [2016]

Efficient Distributed Training of Vehicle Vision Systems
Sung-Li Chiang [2016]

Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks and Factor Graphs
Haoyu Chen [2016]

Optimizing Random Forests on GPU
Derrick Cheng [2014]

A High Accuracy, Low-latency, Scalable Microphone-array System for Conversation Analysis
David Qin Sun [2012]

Communication-Efficient Distributed Stochastic Gradient Descent with Butterfly Mixing
Huasha Zhao [2012]

5th Year M.S.

TranSketch Dataset: Learning to Transform Sketches
Luming Chen [2020]

Curriculum Distillation to Teach Playing Atari
Chen Tang [2018]

Scalable, Efficient Deep Learning by Means of Elastic Averaging
Kevin Peng [2018]

ACES: Automatic Evaluation of Coding Style
Stephanie Rogers [2014]

A Constraint-Aware Motion Planning Algorithm for Robotic Folding of Clothes
Apoorva Sachdev [2012]

Collaborative Games on Mobile Phones
Simon Tan [2009]

M.Eng.

BIDViz: Real-time Monitoring and Debugging of Machine Learning Training Processes
Han Qi [2017]

Scaling Up Deep Learning on Clusters
Aleks Kamko [2017]

Scaling Up Deep Learning on Clusters
Jiaqi Xie [2017]

Scaling Up Deep Learning on Clusters
Quanlai Li [2017]

Understanding Deep Learning Through Visualization
Xuan Zou [2017]

Understanding Deep Learning Through Visualization
Jingqiu Liu [2017]

Building a Distributed, GPU based Machine Learning library
Pradeep Kalipatnapu [2016]

Graphic Tool For Big Data - A Simulation System for Search Ads Auction
Jian Qiao [2016]

Implementing a GPU-based Machine Learning Library on Apache Spark
James Jia [2016]