CSAC-Net: Fast Adaptive sEMG Recognition through Attention Convolution Network and Model-Agnostic Meta-Learning. - Xinchen Fan; Lancheng Zou; Ziwu Liu; Yanru He; Lian Zou; Ruan Chi (Sensors, 2022)

Mitigating Distribution Shift for Congestion Optimization in Global Placement. - Su Zheng; Lancheng Zou; Siting Liu 002; Yibo Lin; Bei Yu 001; Martin D. F. Wong (DAC, 2023)

PDRC: Package Design Rule Checking via GPU-Accelerated Geometric Intersection Algorithms for Non-Manhattan Geometry. - Jiaxi Jiang; Lancheng Zou; Wenqian Zhao; Zhuolun He; Tinghuan Chen; Bei Yu 001 (DAC, 2024)

BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization. - Lancheng Zou; Wenqian Zhao; Shuo Yin; Chen Bai; Qi Sun 002; Bei Yu 001 (ICML, 2024)

MixPE: Quantization and Hardware Co-design for Efficient LLM Inference. - Yu Zhang 189; Mingzi Wang; Lancheng Zou; Wulong Liu; Hui-Ling Zhen; Mingxuan Yuan; Bei Yu 001 (CoRR, 2024)

Invited: Physical Design for Advanced 3D ICs: Challenges and Solutions. - Yuxuan Zhao 001; Lancheng Zou; Bei Yu 001 (ISPD, 2025)

CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference. - Zehua Pei; Lancheng Zou; Hui-Ling Zhen; Xianzhi Yu; Wulong Liu; Sinno Jialin Pan; Mingxuan Yuan; Bei Yu 001 (CoRR, 2025)

Lay-Net: Grafting Netlist Knowledge on Layout-Based Congestion Prediction. - Lancheng Zou; Su Zheng; Peng Xu; Siting Liu 002; Bei Yu 001; Martin D. F. Wong (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

HAPE: Hardware-Aware LLM Pruning For Efficient On-Device Inference Optimization. - Wenqian Zhao; Lancheng Zou; Zixiao Wang 001; Xufeng Yao; Bei Yu 001 (ACM Trans. Design Autom. Electr. Syst., 2025)