Patrick (Pei-hung) Chen
Research Area: compressing machine learning models to make them deployable on devices with limited memory, accelerating the training and inference time of machine learning models to meet latency requirements, designing algorithms to improve the robustness and reliability of machine learning models
Dissertation topic: Efficient Machine Learning by Leveraging Data Dependent Information
Ziniu Hu
Research Area: Neural-Symbolic Reasoning, Graph Representation Learning
Dissertation Topic: Make Knowledge Computable: Differentiable Neural-Symbolic Reasoning
Kuan-Hao Huang
Research Area: Robust and Generalizable Natural Language Processing, Machine Learning
Dissertation Topic: Learning Robust and Reliable NLP Models to Syntax and Languages
Jian Weng
Research Area: building diversified full-stack hardware accelerators automatically and affordably, designing and analyzing specialized hardware mechanisms, their associated compiling techniques, and their automatic integration
Dissertation Topic: Designing, Synthesizing, and Automating Decoupled-Spatial Arcthiectures
Pei Wu
Research Area: theoretical computer science, complexity theory, quantum computing, Boolean function analysis
Dissertation Topic: communication and computation
Huan Zhang
Research area: formal verification of machine learning, computer security
Dissertation topic: Machine Learning with Provable Robustness Guarantees
Dongruo Zhou
Research area: machine learning, reinforcement learning
Dissertation topic: Not applicable