Custom IC design automation
My research starts from custom IC design, connecting circuit intent, layout constraints, and implementation-aware automation for practical chip design flows.
Ph.D. Candidate, Peking University
I work on custom IC design automation, including standard-cell automation, CIM circuits and DSE, AI4EDA, and practical analog design automation.
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From standard cells and CIM/DSE to AI4EDA and analog design automation.
My research starts from custom IC design, connecting circuit intent, layout constraints, and implementation-aware automation for practical chip design flows.
Computing-in-memory circuit design, automatic CIM compiler flows, and design space exploration across precision, architecture, and circuit tradeoffs.
Large language models, multi-agent systems, and learning-based design intent modeling for more interactive and generalizable EDA tools.
Standard-cell layout synthesis, multi-row cell generation, and layout/netlist-aware PPA prediction for scalable cell library design.
Analog layout generation, migration, routing, placement, sizing, and human-in-the-loop editing for analog and mixed-signal circuits.
Selected Work
Background
Ph.D. Candidate, Integrated Circuits
Bachelor, Microelectronics
Recognition
Academic Service
Recognized as a Silver Reviewer for the International Conference on Machine Learning (ICML 2026).
Reviewed for IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), ACM Transactions on Design Automation of Electronic Systems (TODAES), IEEE Transactions on Circuits and Systems I (TCAS-I), Design Automation Conference (DAC), IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Design, Automation & Test in Europe Conference (DATE), and related EDA and circuit-design venues.
Experience
Physical Design Intern, Beijing
Research Intern, Machine Learning Group, Beijing
Development Intern, Shanghai
Development Intern, Beijing
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