About
Welcome! My name is Hanchen Ye (叶汉辰) and I'm an engineer at ElastixAI, where I focus on ML/HW/SW co-design of LLMs. Before joining ElastixAI, I worked at Apple on the optimization of embedded ML models.
I received my Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (UIUC), advised by Prof. Deming Chen. Prior to that, I earned both my Bachelor’s and Master’s degrees from Fudan University (复旦大学), under the supervision of Prof. Gengsheng Chen. During my Ph.D. studies, I interned at Xilinx (2020), SiFive (2021), Intel (2022), Google X (2023), and Inspirit IOT (2024).
My research interests include hardware compilers (ScaleHLS/XLS/CIRCT), AI compilers (StreamTensor/HIDA), and AI accelerators (CHARM/HybridDNN/DNNExplorer).
Google Scholar / GitHub / LinkedIn / CV / Email
Education
University of Illinois at Urbana-Champaign, Urbana, IL
Ph.D. in Electrical and Computer Engineering Aug. 2019 - May. 2025
Fudan University, Shanghai, China
M.E. in Integrated Circuit Engineering Sep. 2017 - Jun. 2019
B.E. in Microelectronic Science and Engineering Sep. 2013 - Jun. 2017
National University of Singapore, Singapore
Exchange Student in Electrical and Computer Engineering Aug. 2015 - Dec. 2015
Work Experiences
ElastixAI, Seattle, WA
ML/HW/SW Co-Design Engineer Jun. 2025 - Present
Apple, Seattle, WA
ML/HW/SW Co-Design Engineer Feb. 2025 - Jun. 2025
Internship Experiences
Inspirit IOT, Champaign, IL (Remote)
Part-time Intern Jan. 2024 - Dec. 2024
Mentor: Deming Chen
Google, Mountain View, CA
Ph.D. Resident in X, The Moonshot Factory May. 2023 - Aug. 2023
Mentor: Xiaoqing Xu, David Pan, Chris Leary
Intel, Portland, OR (Remote)
Research Intern in Strategic CAD Labs May. 2022 - Aug. 2022
Mentor: Jin Yang, Jeremy Casas, Zhenkun Yang
SiFive, San Mateo, CA (Remote)
Compilers Intern in Platform Engineering May. 2021 - Aug. 2021
Mentor: Andrew Lenharth
Xilinx (AMD), San Jose, CA (Remote)
Compiler Intern in Research Labs May. 2020 - Aug. 2020
Mentor: Stephen Neuendorffer
Awards and Scholarships
UIUC Dr. Ok Kyun Kim Fellowship Mar. 2024
UIUC Conference Presentation Awards Mar. 2024
SRC TECHCON First Place Best Student Presenter Award Sep. 2023
DAC Ph.D. Forum First Place Winner Jul. 2023
UIUC A.R. Buck Knight Fellowship Apr. 2023
AMD HACC Outstanding Researcher Awards Feb. 2023
UIUC Teachers Ranked as Excellent Jan. 2023
UIUC Rambus Computer Engineering Fellowship May. 2022
DAC Young Fellows Jun. 2020, Apr. 2022
Shanghai Outstanding Graduates Jun. 2019
Fudan University KLA-Tencor Scholarship Dec. 2018
Fudan University Outstanding Graduate Students Oct. 2018
The 2nd China College IC Competition Grand Prize Winner Aug. 2018
Fudan University Xi-Yuan Research Scholarship May. 2016
Fudan University Outstanding Undergraduate Students Dec. 2015
Selected Papers
[NeurIPS'24] SnapKV: LLM Knows What You are Looking for Before Generation
Yuhong Li*, Yingbing Huang*, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen
The Conference on Neural Information Processing Systems (NeurIPS'24)
PDF / arXiv / GitHub / Website
[DATE'24] Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS
Hanchen Ye, David Pan, Chris Leary, Deming Chen, Xiaoqing Xu
The Conference on Design, Automation & Test in Europe (DATE'24)
PDF / arXiv / GitHub / Poster / Slides / DOI
[ASPLOS'24] HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis
Hanchen Ye, Hyegang Jun, Deming Chen
The ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'24)
PDF / arXiv / GitHub / Poster / Slides / Website / DOI
[FPGA'23] CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture
Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou
The ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA'23)
PDF / arXiv / GitHub / DOI
[HPCA'22] ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation
Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen
The IEEE International Symposium on High-Performance Computer Architecture (HPCA'22)
PDF / arXiv / GitHub / Slides / Website / DOI
[ICCAD'20] DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator
Xiaofan Zhang*, Hanchen Ye*, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-mei Hwu, Deming Chen
The ACM/IEEE International Conference on Computer-Aided Design (ICCAD'20)
PDF / arXiv / DOI
[DAC'20] HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation
Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen
The ACM/IEEE Design Automation Conference (DAC'20)
PDF / arXiv / Slides / Video / DOI
Teaching Services
Teaching Assistant
UIUC ECE527: System-On-Chip Design Fall 2022, Fall 2023
Guest Lecture
UIUC ECE527: System-On-Chip Design Fall 2021, Fall 2022, Fall 2023
Gatech ECE6100/CS6290: Advanced Computer Architecture Fall 2021
Professional Services
Technical Program Committee
Conference on Design, Automation & Test in Europe (DATE) 2025
International Conference on Computer-Aided Design (ICCAD) 2025
Great Lakes Symposium on VLSI (GLSVLSI) 2025
ASPLOS Workshop on Languages, Tools, and Techniques for Accelerator Design (LATTE) 2022, 2023
Reviewer
Transactions on Reconfigurable Technology and Systems (TRETS) 2025
Computer Architecture Letters (CAL) 2025
Transactions on Computers (TC) 2025
Transactions on Embedded Computing Systems (TECS) 2025
Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) 2021 - 2023, 2025
Neural Processing Letters (NEPL) 2021
External Reviewer
International Symposium on Field-Programmable Custom Computing Machines (FCCM) 2022 - 2024
International Symposium on Field-Programmable Gate Arrays (FPGA) 2021, 2023, 2024
International Conference on Computer-Aided Design (ICCAD) 2023