Lancheng Zou

According to our database, Lancheng Zou authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PipeRTL: Timing-Aware Pipeline Optimization at IR-Level for RTL Generation.

Shuo Yin, Fangzhou Liu, Lancheng Zou, Rongliang Fu, Wenqian Zhao, Chen Bai, Tsung-Yi Ho, Yuan Xie, Bei Yu

CoRR, May, 2026

Oiso: Outlier-Isolated Data Format for Low-Bit Large Language Model Quantization.

Lancheng Zou, Shuo Yin, Mingjun Li, Mingzi Wang, Chen Bai, Wenqian Zhao, Bei Yu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2026

2025

PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models.

Lancheng Zou, Shuo Yin, Zehua Pei, Tsung-Yi Ho, Farzan Farnia, Bei Yu

CoRR, October, 2025

HAPE: Hardware-Aware LLM Pruning For Efficient On-Device Inference Optimization.

Wenqian Zhao, Lancheng Zou, Zixiao Wang, Xufeng Yao, Bei Yu

ACM Trans. Design Autom. Electr. Syst., July, 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

CoRR, February, 2025

Invited: Physical Design for Advanced 3D ICs: Challenges and Solutions.

Yuxuan Zhao, Lancheng Zou, Bei Yu

Proceedings of the 2025 International Symposium on Physical Design, 2025

2024

MixPE: Quantization and Hardware Co-design for Efficient LLM Inference.

Yu Zhang, Mingzi Wang, Lancheng Zou, Wulong Liu, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu

CoRR, 2024

BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization.

Lancheng Zou, Wenqian Zhao, Shuo Yin, Chen Bai, Qi Sun, Bei Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Lay-Net: Grafting Netlist Knowledge on Layout-Based Congestion Prediction.

Su Zheng, Lancheng Zou, Peng Xu, Siting Liu, Bei Yu, Martin D. F. Wong

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Mitigating Distribution Shift for Congestion Optimization in Global Placement.

Su Zheng, Lancheng Zou, Siting Liu, Yibo Lin, Bei Yu, Martin D. F. Wong

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

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