Hai“Helen” Li
Clare Boothe Luce Professor – Department of Electrical and Computer Engineering – Duke University
Invited Talk: Cross-Layer Optimization for AI with Algorithm-Hardware Co-design
Abstract: The advancement of Artificial Intelligence (AI) and its swift deployment on resource-constrained systems relies on refined algorithm-hardware co-design. In this talk, we first propose our solution to craft efficient lightweight AI algorithms via model compression and neural architecture search on broad AI applications, such as image recognition, 2D/3D semantic segmentation, and recommender systems. Then, we involve efficient cross-optimization design and distributed learning to brew swift scalable AI algorithms with specialized compute kernel and hardware architecture. Finally, we demonstrate the improvements in performance-efficiency trade-off on alternative real-world applications, such as electronic design automation and adversarial machine learning. Through these explorations, we present our vision for the future of the full-stack optimization of AI solutions.
Biography: Hai “Helen” Li is the Clare Boothe Luce Professor and Department Chair of the Electrical and Computer Engineering Department at Duke University. She received her B.S and M.S. from Tsinghua University and Ph.D. from Purdue University. Her research interests include neuromorphic circuit and system for brain-inspired computing, machine learning acceleration and trustworthy AI, conventional and emerging memory design and architecture, and software and hardware co-design. Dr. Li served/serves as the Associate Editor for multiple IEEE and ACM journals. She was the General Chair or Technical Program Chair of multiple IEEE/ACM conferences and the Technical Program Committee members of over 30 international conference series. Dr. Li is a Distinguished Lecturer of the IEEE CAS society (2018-2019) and a distinguished speaker of ACM (2017-2020). Dr. Li is a recipient of the NSF Career Award, DARPA Young Faculty Award, TUM-IAS Hans Fischer Fellowship from Germany, ELATE Fellowship, nine best paper awards and another nine best paper nominations. Dr. Li is a fellow of ACM and IEEE.