Zhiyao Xie is an Assistant Professor in the ECE Department at Hong Kong University of Science and Technology. He received his Ph.D. in 2022 from Duke University. His research focuses on machine learning for EDA. Zhiyao has received multiple awards, including Hong Kong RGC Early Career Award 2023, ACM Outstanding Dissertation Award in EDA 2023, EDAA Outstanding Dissertation Award 2023, MICRO 2021 Best Paper Award, ASP-DAC 2023 Best Paper Award, ACM SIGDA SRF Best Poster Award 2022, and 4 more best paper nominations. 

Qiang Xu is a Professor at The Chinese University of Hong Kong. His current research interests are in the broad areas of AI and EDA. He has published 180+ papers with 9000+ citations, including several best papers at prestigious conferences and an ICCAD Ten Year Retrospective Most Influential Paper. He has supervised ~20 Ph.D. dissertations and his students have won several Outstanding Ph.D. Dissertation Awards or Nominations.

Zhanguang Zhang is a senior researcher at Huawei's Noah's Ark Lab. Prior to joining Huawei, he held positions at Independent Robotics, Samsung AI Research Center, and Pratt & Whitney Canada. His research interests span representation learning, graph neural networks (GNN), and large language models (LLMs), with a focus on their applications in circuit design. Zhanguang has published extensively in leading AI and EDA conferences, including NeurIPS, KDD, and ICCAD.

Nan Wu is an Assistant Professor in the ECE department at George Washington University. Her research focuses on the intersection of computer architecture, EDA, and ML, aiming to facilitate hardware agile development empowered by ML. She earned her Ph.D. in ECE from the University of California, Santa Barbara, under the guidance of Dr. Yuan Xie, and holds dual B.S. degrees in Electronic Engineering and Economics from Tsinghua University. She has received the EDAA Outstanding Dissertation Award in 2024, Best Paper Awards at DAC 2023 and GLSVLSI 2021, and a Best Paper Nomination at ASAP 2022.

Guohao Dai, Ph.D. is an Associate Professor at the School of Electronic Information and Electrical Engineering (SEIEE) at Shanghai Jiao Tong University. He serves as the Director of the Design Automation Innovation Laboratory of Artificial Intelligence (DAI Group), and the Co-PI of the Customized Computing Center (CCC). Dr. Dai received his B.S. and Ph.D. degrees (with honors) from the Department of Electronic Engineering at Tsinghua University in 2014 and 2019. He has published over 80 high-level international conference papers and journal articles in the fields of Electronic Design Automation, System, and Architecture. His work has reached over a thousand citations on Google Scholar. He served as Co-Chair for Ph.D. Forum at DAC 2024, TPC member for several international conferences (e.g., DAC 2024/DAC 2023/VLSID 2024), and reviewer for conferences (e.g., IEEE TCAD). He received the Best Paper Award at ASP-DAC 2019 and DATE 2024, the WAIC 2022 Youth Outstanding Paper Award, and received three nominations for the Best Paper Award at conferences (DATE 2023/DAC 2022/DATE 2018). He received the IEEE CCPC Young Pioneer Award 2024, the WAIC Yunfan Award 2022, the champion of NeurIPS 2021 Billion-Scale Approximate Nearest Neighbor (BIGANN) Search Challenge, Outstanding Ph.D. Graduates of Beijing, Outstanding Ph.D. Graduates of Tsinghua University, and Excellent Ph.D. Dissertation Award of Tsinghua University, etc. He has also assisted his co-advisor in guiding students to achieve honors including the third place in the ACM Student Research Competition and the first place in the MICRO Student Research Competition.

Dr. Meng Li is currently a tenure-track assistant professor at Peking University, jointly affiliated with the Institute for Artificial Intelligence and the School of Integrated Circuits. Before joining Peking University, he was a staff research scientist and tech lead at Meta, focusing on researching and productizing efficient AI algorithms and hardware/systems for next-generation AR/VR devices. Dr. Li received his Ph.D. degree from the University of Texas at Austin in 2018 and his bachelor's degree from Peking University in 2013. Dr. Meng Li's research interests lie in the field of efficient and secure multi-modal AI acceleration hardware and system. He has published over 80 papers and received two best paper awards. He also receives CCF Integrated Circuits Early Career Award, EDAA Outstanding Dissertation Award, First Place in ACM Student Research Competition Grand Final (Graduate Category), etc.

Sitao Huang is an assistant professor in the Department of Electrical Engineering and Computer Science at the University of California, Irvine. He received his Ph.D. degree and M.S. degree in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign in 2021 and 2017 respectively. His research interests include hardware accelerators, compilers for accelerators, and heterogeneous systems. He is a 2022 DARPA Forward Riser. His research won the Best Paper Award at IDEAL 2021, Best Paper Nomination at ASP-DAC 2021, and the Student Innovation Award at the 2018 IEEE HPEC Graph Challenge.

Dr. Ying Wang is an professor in Institute of Computing Technology, Chinese Academy of Sciences, Beijing, and his current research interest includes the chip design automation, reliable computer architecture and memory system. He has published over 100 papers on IEEE/ACM conferences and journals, including TC, DAC, MICRO, HPCA and ICCAD. He is the receiver of 2022 DAC under 40 innovator award. He has also been granted several awards from international conferences, including the championship of IEEE LPIRC contest at DAC 2016, the championship of the System Design Contest at DAC 2018, 2024 IEEE Top Picks on IC testability and reliability, best paper of 2021 IEEE Trans. on Computer, the Best Paper Award at ITC-Asia, GLSVLSI and ICCD.