Hai Li

Li

Professor in the Department of Electrical and Computer Engineering

Research Interests:

Neuromorphic computing systems
Machine learning acceleration and trustworthy AI
Emerging memory technologies, circuit, and architecture
Low power circuits and systems

Appointments and Affiliations

  • Professor in the Department of Electrical and Computer Engineering
  • Chair of the Department of Electrical and Computer Engineering
  • Professor of Computer Science

Contact Information

  • Office Location: #407 Wilkinson Building, 534 Research Drive, Durham, NC 27701
  • Office Phone: (919) 660-1373
  • Email Address: hai.li@duke.edu
  • Websites:

Education

  • Ph.D. Purdue University, 2004

Research Interests

Neuromorphic computing systems
Machine learning acceleration and trustworthy AI
Emerging memory technologies, circuit and architecture
Low power circuits and systems

Awards, Honors, and Distinctions

  • Fellow, Executive Leadership in Academic Technology, Engineering and Science (ELATES). Drexel University. 2022
  • Fellow. Institute of Electrical and Electronics Engineers (IEEE). 2018
  • Distinguished Member. Association for Computing Machinery (ACM). 2018
  • Best Paper Award for the paper titled “Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses”. Asia and South Pacific Design Automation Conference (ASPDAC). 2017
  • Fulton C. Noss Faculty Fellow. University of Pittsburgh. 2016
  • Best Paper Award for the paper titled “Quantitative Modeling of Racetrack Memory - A Tradeoff among Area, Performance, and Power”. Asia and South Pacific Design Automation Conference (ASPDAC). 2015
  • Air Force Summer Faculty Fellowship Program Award (AF-SFFP). AFRL/RITC. 2015
  • Best Paper Award for the paper titled “A Weighted Sensing Scheme for ReRAM-based Cross-point Memory Array”. IEEE Computer Society Annual Symposium on VLSI (ISVLSI). 2014
  • Best Paper Award for the paper titled “Coordinating Prefetching and STT-RAM based Last-level Cache Management for Multicore Systems”. Proceedings of the 23rd ACM International Conference on Great Lakes Symposium on VLSI (GLSVLSI). 2013
  • Air Force Visiting Faculty Research Program (VFRP) Fellowship. AFRL/RIB. 2013
  • DARPA Young Faculty Award. Defense Advanced Research Projects Agency (DARPA). 2013
  • NSF Career Award. National Science Foundation (NSF). 2012
  • Air Force Summer Faculty Fellowship Program Award (AF-SFFP). AFRL/RITC. 2011
  • Best Paper Award for the paper titled “Combined Magnetic- and Circuit-level Enhancements for the Nondestructive Self-Reference Scheme of STT-RAM”. ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED). 2010
  • Best Paper Award for the paper titled “Design Margin Exploration of Spin-Torque Transfer RAM (SPRAM)”. the 9th International Symposium on Quality Electronic Design (ISQED). 2008

Courses Taught

  • ECE 493: Projects in Electrical and Computer Engineering
  • ECE 494: Projects in Electrical and Computer Engineering
  • ECE 550D: Fundamentals of Computer Systems and Engineering
  • ECE 661: Computer Engineering Machine Learning and Deep Neural Nets
  • ECE 891: Internship

In the News

Representative Publications

  • Zhang, T; Cheng, D; He, Y; Chen, Z; Dai, X; Xiong, L; Yan, F; Li, H; Chen, Y; Wen, W, NASRec: Weight Sharing Neural Architecture Search for Recommender Systems, Acm Web Conference 2023 Proceedings of the World Wide Web Conference, Www 2023 (2023), pp. 1199-1207 [10.1145/3543507.3583446] [abs].
  • Hanson, E; Horton, M; Li, HH; Chen, Y, DefT: Boosting Scalability of Deformable Convolution Operations on GPUs, International Conference on Architectural Support for Programming Languages and Operating Systems Asplos, vol 3 (2023), pp. 134-146 [10.1145/3582016.3582017] [abs].
  • Hanson, E; Li, S; Qian, X; Li, HH; Chen, Y, DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs, Ieee Transactions on Computers, vol 72 no. 3 (2023), pp. 880-892 [10.1109/TC.2022.3184272] [abs].
  • Augustine, C; Li, H, ISLPED 2022: An Experience of a Hybrid Conference in the Time of COVID-19, Ieee Design & Test, vol 40 no. 1 (2023), pp. 105-107 [10.1109/MDAT.2022.3208552] [abs].
  • Li, Z; Zheng, Q; Chen, Y; Li, H, SpikeSen: Low-latency In-sensor-intelligence Design with Neuromorphic Spiking Neurons, Ieee Transactions on Circuits and Systems Ii: Express Briefs (2023) [10.1109/TCSII.2023.3235888] [abs].