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Lancheng ZOU (邹岚丞)Ph.D. Student
Department of Computer Science and Engineering
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Biography
I am a second-year Ph.D. Student at the Department of Computer Science and Engineering, the Chinese University of Hong Kong (CUHK), supervised by Prof. Bei YU since 2023 Fall. Prior to that, I obtained my B.Eng. degree in Electronic Information Engineering from Wuhan University in 2023.
Recent News
Dec/2024: Congratulation! Our TCAD version of Lay-Net has been accepted!
May/2024: Congratulation! Our work on LLM Quantization has been accepted by ICML!
Jul/2023: Congratulation! Our work on multimodality-based congestion prediction has been accepted by ICCAD!
Research Interest
Model Compression
AI for EDA
VLSI Placement
Publication
Journal Papers
[J2] Wenqian Zhao, Lancheng Zou, Zixiao Wang, Xufeng Yao, Bei Yu, “HAPE: Hardware-Aware LLM Pruning For Efficient On-Device Inference Optimization”, ACM Transactions on Design Automation of Electronic Systems (TODAES), 2025.
[J1] Lancheng Zou*, Su Zheng*, Peng Xu, Siting Liu, Bei Yu, Martin D.F. Wong, “Lay-Net: Grafting Netlist Knowledge on Layout-Based Congestion Prediction”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.
Conference Papers
[C5] Yuxuan Zhao, Lancheng Zou, Bei Yu, “Physical Design for Advanced 3D ICs: Challenges and Solutions”, ACM International Symposium on Physical Design (ISPD), Austin, Mar. 16–19, 2025. (Invited Paper)
[C4] Lancheng Zou, Wenqian Zhao, Shuo Yin, Chen Bai, Qi Sun, Bei Yu, “BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization”, International Conference on Machine Learning (ICML), Vienna, Jul. 21–27, 2024.
[C3] Jiaxi Jiang, Lancheng Zou, Wenqian Zhao, Zhuolun He, Tinghuan Chen, Bei Yu, “PDRC: Package Design Rule Checking via GPU-Accelerated Geometric Intersection Algorithms for Non-Manhattan Geometry”, Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024
[C2] Su Zheng*, Lancheng Zou*, Peng Xu, Siting Liu, Bei Yu, Martin D.F. Wong, “Lay-Net: Grafting Netlist Knowledge on Layout-Based Congestion Prediction”, International Conference on Computer-Aided Design (ICCAD), San Francisco, Oct. 29–Nov. 02, 2023
[C1] Su Zheng, Lancheng Zou, Siting Liu, Yibo Lin, Bei Yu, Martin D.F. Wong, “Mitigating Distribution Shift for Congestion Optimization in Global Placement”, Design Automation Conference (DAC), San Francisco, Jul. 09–13, 2023
Education
Ph.D., Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), Aug/2023 - Now
B.Eng., School of Electronic Information, Wuhan University (WHU), Aug/2019 - Jun/2023
Experiences
SmartMore Shenzhen, China
Intern, Feb. 2023 - Aug. 2023
Selected Awards
| Full Postgraduate Studentship, | The Chinese University of Hong Kong, | 2023-2027 |
Skills
Languages: C/C++, Python, Verilog
Tools : PyTorch, Tensorflow, Vivado, LaTeX