I am an Assistant Professor in the College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst, the flagship campus of the UMass system. I received my Ph.D. in Electrical Engineering from North Carolina State University in 2020. I am a member of the Programming Language and Systems at Massachusetts (PLASMA) lab at UMass.
My research lies in the intersection between Machine Learning and Programming Systems, with an emphasis on improving the speed, scalability, and reliability of Machine Learning through innovations in algorithms and programming systems (e.g., compilers, runtime). I am also interested in leveraging Machine Learning to improve High Performance Computing. My current research focuses on both algorithm and system optimizations of Deep Multi-Task Learning and Graph Machine Learning.
- [Nov. 2021]: Our collaborative project with Prof. Zhou Lin on “Accelerating Fragment-Based Quantum Chemistry via Machine Learning” received UMass ADVANCE Collaborative Research Seed Grant.
- [Oct. 2021]: Our paper “FreeLunch: Compression-based GPU Memory Management for Convolutional Neural Networks” is accepted to MCHPC’21 Workshop, in conjunction with SC’21.
- [Oct. 2021]: Our paper “Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone” is accepted to ICDM’21.
- [June 2021]: Our paper “Scalable Graph Neural Network Training: The Case for Sampling” has appeared in the ACM SIGOPS Operating Systems Review.
- [June 2021]: Our paper CoCoPIE is accepted to CACM’21.
- [June 2021]: Our paper NumaPerf is accepted to ICS’21.
- [May 2021]: I have received an Adobe Research Collaboration Grant.
- [May 2021]: Our paper “Reuse-Centric Kmeans Configuration” is accepted to Information Systems.
- NCSU Electrical and Computer Engineering Outstanding Dissertation Award, 2020
- IBM PhD Fellowship, 2015-2018