Team Achievements
-
AAAI 2023: Best paper award -
Certificate: 2022 ACM/IEEE TinyML Design Contest First Place Winner in Accuracy -
Certificate: 2022 ACM/IEEE TinyML Design Contest Fourth Place Winner
Current Students
Ph.D.
| Name | Reaserch Area |
|---|---|
| Ronak Sahu | Adversial machine learning |
| Amit Hasan | Model Compression, Computer Vision, Co-designing |
| Bin Lei | Machine Learning, LLM |
| Yuebo Luo | GPU, Graph Neural Networks, SW-HW Co-design |
| Jinwei Tang | LLM-based Agent System |
| Hongwu Peng | GPU, FPGA, Machine Learning, Graph |
| Kiran Thorat | Machine Learning for EDA, Graph Neural Networks |
| Xi Xie | GPU, FPGA |
Master
| Name | Reaserch Area |
|---|---|
| Nicole Meng | Adversarial Machine Learning, Computer Vision |
| Matthew Li | Machine Learning, Frontend development, Backend development |
| Vishal Kancharla | Graph Neural Networks |
Alumni
Ph.D.
| Name | First Employment | Reaserch Area |
|---|---|---|
| Shanglin Zhou | Senior Data Scientist at Walmart AI Lab | Model Compression, Computer Vision, Machine Learning |
| Shaoyi Huang | Tenure track assistant professor at Stevens Institute of Technology | Algorithm/hardware co-design for ML systems |
| Deniz Gurevin | Co-supervision with Prof. Omer Khan Synopsys |
GPU, Machine Learning Acceleration |
Post-doc & Visiting Scholar & Master
| Name | First Employment | Reaserch Area |
|---|---|---|
| Ya-Sine Agrignan | Research Assistant(Master) | Machine learning, hardware |
| Stepan Gordeev | Postdoctoral Research Associate(Tenure track assistant professor at Texas Christian University) | Macro Development Economist |
| Yanjun Lyu | Visiting Scholar (Ph.D. Student at UT Arlington) |
NLP, model compression, graph similarity search |