Shengwen Liang

According to our database, Shengwen Liang authored at least 29 papers between 2019 and 2025.

Collaborative distances:

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

2025

APoX-M: Accelerate deep point cloud analysis via adaptive graph construction.

Lei Dai, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li

Integr., 2025

2024

An Energy-Efficient In-Memory Accelerator for Graph Construction and Updating.

Mingkai Chen, Cheng Liu, Shengwen Liang, Lei He, Ying Wang, Lei Zhang, Huawei Li, Xiaowei Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2024

DRIM-ANN: An Approximate Nearest Neighbor Search Engine based on Commercial DRAM-PIMs.

Mingkai Chen, Tianhua Han, Cheng Liu, Shengwen Liang, Kuai Yu, Lei Dai, Ziming Yuan, Ying Wang, Lei Zhang, Huawei Li, Xiaowei Li

CoRR, 2024

InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference.

Xiurui Pan, Endian Li, Qiao Li, Shengwen Liang, Yizhou Shan, Ke Zhou, Yingwei Luo, Xiaolin Wang, Jie Zhang

CoRR, 2024

Graphitron: A Domain Specific Language for FPGA-based Graph Processing Accelerator Generation.

Xinmiao Zhang, Zheng Feng, Shengwen Liang, Xinyu Chen, Cheng Liu, Huawei Li, Xiaowei Li

CoRR, 2024

Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation.

Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han, Ying Wang

CoRR, 2024

Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM.

Zhongkai Yu, Shengwen Liang, Tianyun Ma, Yunke Cai, Ziyuan Nan, Di Huang, Xinkai Song, Yifan Hao, Jie Zhang, Tian Zhi, Yongwei Zhao, Zidong Du, Xing Hu, Qi Guo, Tianshi Chen

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Flagger: Cooperative Acceleration for Large-Scale Cross-Silo Federated Learning Aggregation.

Xiurui Pan, Yuda An, Shengwen Liang, Bo Mao, Mingzhe Zhang, Qiao Li, Myoungsoo Jung, Jie Zhang

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

HyQA: Hybrid Near-Data Processing Platform for Embedding Based Question Answering System.

Shengwen Liang, Ziming Yuan, Ying Wang, Dawen Xu, Huawei Li, Xiaowei Li

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

GPACE: An Energy-Efficient PQ-Based GCN Accelerator with Redundancy Reduction.

Yibo Du, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li, Yinhe Han

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption.

Jianan Mu, Husheng Han, Shangyi Shi, Jing Ye, Zizhen Liu, Shengwen Liang, Meng Li, Mingzhe Zhang, Song Bian, Xing Hu, Huawei Li, Xiaowei Li

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

SmartATPG: Learning-based Automatic Test Pattern Generation with Graph Convolutional Network and Reinforcement Learning.

Wenxing Li, Hongqin Lyu, Shengwen Liang, Tiancheng Wang, Huawei Li

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

Chiplever: Towards Effortless Extension of Chiplet-based System for FHE.

Yibo Du, Ying Wang, Bing Li, Fuping Li, Shengwen Liang, Huawei Li, Xiaowei Li, Yinhe Han

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

Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework.

Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li

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

APoX: Accelerate Graph-Based Deep Point Cloud Analysis via Adaptive Graph Construction.

Lei Dai, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

ChipGPT: How far are we from natural language hardware design.

Kaiyan Chang, Ying Wang, Haimeng Ren, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li

CoRR, 2023

PANG: A Pattern-Aware GCN Accelerator for Universal Graphs.

Yibo Du, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li, Yinhe Han

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

Energy-efficient NTT Design with One-bank SRAM and 2-D PE Array.

Jianan Mu, Huajie Tan, Jiawen Wu, Haotian Lu, Chip-Hong Chang, Shuai Chen, Shengwen Liang, Jing Ye, Huawei Li, Xiaowei Li

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Intelligent Automatic Test Pattern Generation for Digital Circuits Based on Reinforcement Learning.

Wenxing Li, Hongqin Lyu, Shengwen Liang, Tiancheng Wang, Pengyu Tian, Huawei Li

Proceedings of the 32nd IEEE Asian Test Symposium, 2023

2022

Cognitive SSD+: a deep learning engine for energy-efficient unstructured data retrieval.

Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li

CCF Trans. High Perform. Comput., 2022

VStore: in-storage graph based vector search accelerator.

Shengwen Liang, Ying Wang, Ziming Yuan, Cheng Liu, Huawei Li, Xiaowei Li

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks.

Shengwen Liang, Ying Wang, Cheng Liu, Lei He, Huawei Li, Dawen Xu, Xiaowei Li

IEEE Trans. Computers, 2021

GLIST: Towards In-Storage Graph Learning.

Cangyuan Li, Ying Wang, Cheng Liu, Shengwen Liang, Huawei Li, Xiaowei Li

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

GCiM: A Near-Data Processing Accelerator for Graph Construction.

Lei He, Cheng Liu, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

The 2020 Low-Power Computer Vision Challenge.

Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

DeepBurning-GL: an Automated Framework for Generating Graph Neural Network Accelerators.

Shengwen Liang, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

Cognitive SSD: A Deep Learning Engine for In-Storage Data Retrieval.

Shengwen Liang, Ying Wang, Youyou Lu, Zhe Yang, Huawei Li, Xiaowei Li

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

InS-DLA: An In-SSD Deep Learning Accelerator for Near-Data Processing.

Shengwen Liang, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li

Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

A None-Sparse Inference Accelerator that Distills and Reuses the Computation Redundancy in CNNs.

Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li

Proceedings of the 56th Annual Design Automation Conference 2019, 2019