Lancheng Zou

12 papers A* 3A 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Oiso: Outlier-Isolated Data Format for Low-Bit Large Language Model Quantization.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Lancheng Zou, Shuo Yin, Mingjun Li, Mingzi Wang, Chen Bai, Wenqian Zhao, Bei Yu
2025 J jnl
CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference.
CoRR
Zehua Pei, Lancheng Zou, Hui-Ling Zhen, Xianzhi Yu, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan, Bei Yu
2025 J jnl
HAPE: Hardware-Aware LLM Pruning For Efficient On-Device Inference Optimization.
ACM Trans. Design Autom. Electr. Syst.
Wenqian Zhao, Lancheng Zou, Zixiao Wang, Xufeng Yao, Bei Yu
2025 — conf
Invited: Physical Design for Advanced 3D ICs: Challenges and Solutions.
ISPD
Yuxuan Zhao, Lancheng Zou, Bei Yu
2025 J jnl
Lay-Net: Grafting Netlist Knowledge on Layout-Based Congestion Prediction.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Lancheng Zou, Su Zheng, Peng Xu, Siting Liu, Bei Yu, Martin D. F. Wong
2025 J jnl
PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models.
CoRR
Lancheng Zou, Shuo Yin, Zehua Pei, Tsung-Yi Ho, Farzan Farnia, Bei Yu
2024 A* conf
BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization.
ICML
Lancheng Zou, Wenqian Zhao, Shuo Yin, Chen Bai, Qi Sun, Bei Yu
2024 J jnl
MixPE: Quantization and Hardware Co-design for Efficient LLM Inference.
CoRR
Yu Zhang, Mingzi Wang, Lancheng Zou, Wulong Liu, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu
2024 A* conf
PDRC: Package Design Rule Checking via GPU-Accelerated Geometric Intersection Algorithms for Non-Manhattan Geometry.
DAC
Jiaxi Jiang, Lancheng Zou, Wenqian Zhao, Zhuolun He, Tinghuan Chen, Bei Yu
2023 A conf
Lay-Net: Grafting Netlist Knowledge on Layout-Based Congestion Prediction.
ICCAD
Su Zheng, Lancheng Zou, Peng Xu, Siting Liu, Bei Yu, Martin D. F. Wong
2023 A* conf
Mitigating Distribution Shift for Congestion Optimization in Global Placement.
DAC
Su Zheng, Lancheng Zou, Siting Liu, Yibo Lin, Bei Yu, Martin D. F. Wong
2022 J jnl
CSAC-Net: Fast Adaptive sEMG Recognition through Attention Convolution Network and Model-Agnostic Meta-Learning.
Sensors
Xinchen Fan, Lancheng Zou, Ziwu Liu, Yanru He, Lian Zou, Ruan Chi