CV

Hanqing Zhu

PhD candidate, Dept. of Electrical and Computer Engineering @ UT Austin

Education

• Ph.D. in the University of Texas at Austin (GPA: 3.95/4.00), Texas, US, 2025(expected)
• B.Eng. in Shanghai Jiaotong University (GPA: 3.81/4.00, Rank: 2/57), Shanghai, China, 2020
• Summer School (Full scholarship) in Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia. 2018

Work experience

• Meta AI (May 2024 - Nov. 2024)
  • Research Scientist Intern, Efficient Large-scale Training, Sunnyvale, CA
  • Project:
    • Memory-efficient training techniques for large language model
    • Communication-efficient methods for large-scale ads model training
• Lightelligencea Inc (May 2023 - Sep. 2023)
  • Software Research Intern, Software Team, Boston, MA
  • Project: Low-bit Noise-aware Training Framework for Photonic AI Accelerator
• Google LLC (Jul. 2022 - Nov. 2022)
  • Student Researcher, Google Brain Team, Mountain View, CA
  • Project: Integrate DREAMPlace in RL-based ASIC Macro Placement Flow.
• University of Texas at Austin (Aug. 2020 - Present)
  • Graduate Research Assistant, UTDA Lab, Austin, TX

Skills

• Programming languages
  • Python (PyTorch)
  • C++
  • Verilog

Awards and Honors

• UT Graduate School Continuing Fellowship Nomination (1 of 2 in the entire ECE), UT Austin, 2024
• Texas ECE Graduate Achievement Award, UT Austin, 2024
• 1st place at IEEE/ACM MLCAD 2023 FPGA Macro-Placement Contest, MLCAD, 2023
• MLSys Student Travel Award, MLSys, 2023
• Winner at Robert S. Hilbert Memorial Optical Design Competition, Synopsys, 2022
• DAC Young Fellow, 58th IEEE/ACM Design Automation Conference (DAC), 2021
• Shanghai Outstanding Graduate, Shanghai, 2020
• Hongyi Scholarship, Shanghai Jiaotong University, 2019
• Outstanding Undergraduate Scholarship, Shanghai Jiaotong University, 2019
• Samsung Scholarship, Shanghai Jiaotong University, 2018
• Zhiyuan College Honors Scholarship, Shanghai Jiaotong University, 2018
• First Prize in China Undergraduate Mathematical Contest in Modeling, Shanghai Division, 2018
• Academic Excellence Scholarship, Shanghai Jiaotong University, 2017,2018,2019

Professional Service

• Reviewer
  • Nature Photonics
  • Photonic Network Communications
  • International Conference on Learning Representations (ICLR’24)
  • Conference on Neural Information Processing Systems (NeurIPS’23)
  • AAAI workshop on DL-Hardware Co-Design for AI Acceleration (AAAI’23)
  • Design Automation Conference (DAC’23)
  • IEEE/ACM International Conference on Computer-Aided Design (ICCAD’22)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS’22)
  • IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS’22, AICAS’23)

Related Courses

• EE382M-26: VLSI CAD and Optimization
  • Dr. David Z. Pan
• EE381V: Combinatorial Optimization
  • Dr. Constantine Caramanis
• EE381V: Advanced Topics in Computer Vision
  • Dr. Zhangyang (Atlas) Wang
• EE382N 20-COMP ARCH: PARALLISM/LOCLTY
  • Dr. Mattan Erez
• EE381K: Convex Optimization
  • Dr. Constantine Caramanis
• EE382M: VLSI I
  • Dr. David Z. Pan
• EE382M: VLSI Physical Design Automation
  • Dr. David Pan
• EE382V: Cross-layer Machine Learning Algorithm/Hardware Co-design
  • Dr. Mattan Erez and Dr. Michael Orshansky
• EE382M: Verification of Digital System
  • Dr. Monica Farkash
• ECE 382V SysML: Computer Systems and Machine Learning Interplay (on-going)
  • Dr. Neeraja J. Yadwadkar