Yanjing Li
Associate Professor,
Electrical and Computer Engineering
Contact
- yanj.li@northeastern.edu
- 5000 MacArthur Blvd.
Oakland, CA, 94613
Research Focus
Systems and Machine Learning, Computer Architecture, Emerging Technologies
Education
- PhD, Electrical Engineering, Stanford University, 2013
Honors & Awards
- 2023 NSF CAREER award
Research Overview
Systems and Machine Learning, Computer Architecture, Emerging Technologies
Selected Research Projects
- Reliable and Accelerated Deep Neural Networks via Co-Design of Hardware and Algorithms
- – PI, National Science Foundation
Department Research Areas
Selected Publications
- Joshua Viszlai, Jason D. Chadwick, Sarang Joshi, Gokul Subramanian Ravi, Yanjing Li, Frederic T. Chong, “Predictive Window Decoding for Fault-Tolerant Quantum Programs,” ArXiv, 2024.
- Yanjing Li, Vijay Japana Reddi, “Robust Methods for Deep Learning Training,” SI: IEEE Top Picks in Test and Reliability (S1) issue of IEEE Design & Test, 2024.
- Andronicus Rajasukumar, Jiya Su, Yuqing Wang, Tianshuo Su, Marziyeh Nourian, Jose M Monsalve Diaz, Tianchi Zhang, Jianru Ding, Wenyi Wang, Ziyi Zhang, Moubarak Jeje, Henry Hoffmann, Yanjing Li, Andrew A. Chien, “UpDown: Programmable fine-grained Events for Scalable Performance on Irregular Applications,” arXiv, 2024.
- Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, and Yanjing Li, “Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators,” Proc. IEEE VLSI Test Symposium (VTS), 2024.
- Cyrus Zhou, Zack Hassman, Dhirpal Shah, Vaughn Richard, and Yanjing Li, “YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs,” Proc. 33rd ACM SIGPLAN International Conference on Compiler Construction (CC), 2024.
Dec 11, 2025
New Faculty Spotlight: Yanjing Li
Yanjing Li joins the electrical and computer engineering department in January 2026 as an Associate Professor.