CV

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Education

• Fudan University, Ph.D. in Electronic Engineering, 2021-2024
  Frontier Institute of Chip and System; Department of Micro-electronics. GPA 3.65/4.0, Top 5%.

• Fudan University, M.Eng. in Electronic Engineering, 2018-2021
  Department of Micro-electronics. GPA 3.83/4.0, Top 1%.

• Fudan University, B.Eng. in Electronic Engineering, 2014-2018
  Department of Micro-electronics. GPA 3.67/4.0, Top 5%.

Experience

• Researcher, Fudan University, Shanghai, China, July 2024-present

• Visiting Researcher, Fudan University, Shanghai, China, Nov. 2023-July 2024
  Digital reconfigurable architecture and custom circuit design for neural networks and LLMs; SRAM/ReRAM-based compute-in-memory architecture and circuits.

• Ph.D. Research Intern, Google, Mountain View, CA, Sept. 2023-Jan. 2024
  Hardware-software co-design for efficient LLM acceleration with model compression, pruning, and quantization; digital reconfigurable architecture for neural networks and LLMs; hardware implementation with the open-source OpenROAD tool chain.

Research Interests

• Efficient machine learning and model compression
• Finetuning-free compression for LLMs and generative AI
• Deep learning processor architecture and chip design
• Software-hardware co-design for LLM acceleration
• Compute-in-memory architecture and circuit design
• Chiplet-based scalable systems and dataflows

Tapeouts

• Reconfigurable TPU for Group-Query Attention, Intel 16nm CMOS, 2024
  Project leader for architecture design, Verilog coding, synthesis, P&R, verification, and test/simulation/demo platform setup.

• Compute-in-Memory Accelerator for Sparse Transformer, TSMC 28nm CMOS, 2022
  Project leader for a sparsity-aware compute-in-memory processor for Transformer acceleration, published at ISSCC 2023.

• Multiplier-Free Configurable Accelerator for Low-Bitwidth DNNs, TSMC 65nm CMOS, 2021
  Co-author for synthesis, P&R implementation, and verification.

Publications

See the publications page for the full list.

Selected Honors and Awards

• National Scholarship, 2023, Top 1%
• Rong Chang-Fudan Scholarship Research Award, First Prize, 2023, Top 1%
• First Prize of the Scholarship for Outstanding Student of Doctor’s Degree, 2022, Top 5%
• Outstanding Graduate, Fudan University, 2021, Top 1%

Service

• Invited reviewer for TCAS-I, TCAS-II, ICLR, TVLSI, OJCAS, TETCI, Expert Systems with Applications, and Analog Integrated Circuits and Signal Processing.