Shengwen Liang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Ordered Labeled Trees

Lagrange Interpolation

Graph Construction

Top Venues

USENIX Annual Technical Conference

Publications

Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han, Ying Wang
Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation. CoRR (2024)
Lei Dai, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li
APoX: Accelerate Graph-Based Deep Point Cloud Analysis via Adaptive Graph Construction. ASPDAC (2024)
Shengwen Liang, Ziming Yuan, Ying Wang, Dawen Xu, Huawei Li, Xiaowei Li
HyQA: Hybrid Near-Data Processing Platform for Embedding Based Question Answering System. DATE (2024)
Xiurui Pan, Yuda An, Shengwen Liang, Bo Mao, Mingzhe Zhang, Qiao Li, Myoungsoo Jung, Jie Zhang
Flagger: Cooperative Acceleration for Large-Scale Cross-Silo Federated Learning Aggregation. ISCA (2024)
Xinmiao Zhang, Zheng Feng, Shengwen Liang, Xinyu Chen, Cheng Liu, Huawei Li, Xiaowei Li
Graphitron: A Domain Specific Language for FPGA-based Graph Processing Accelerator Generation. CoRR (2024)
Mingkai Chen, Cheng Liu, Shengwen Liang, Lei He, Ying Wang, Lei Zhang, Huawei Li, Xiaowei Li
An Energy-Efficient In-Memory Accelerator for Graph Construction and Updating. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (6) (2024)
Yibo Du, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li, Yinhe Han
GPACE: An Energy-Efficient PQ-Based GCN Accelerator with Redundancy Reduction. DATE (2024)
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
Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework. CoRR (2024)
Yibo Du, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li, Yinhe Han
PANG: A Pattern-Aware GCN Accelerator for Universal Graphs. ICCD (2023)
Jianan Mu, Huajie Tan, Jiawen Wu, Haotian Lu, Chip-Hong Chang, Shuai Chen, Shengwen Liang, Jing Ye, Huawei Li, Xiaowei Li
Energy-efficient NTT Design with One-bank SRAM and 2-D PE Array. DATE (2023)
Wenxing Li, Hongqin Lyu, Shengwen Liang, Tiancheng Wang, Pengyu Tian, Huawei Li
Intelligent Automatic Test Pattern Generation for Digital Circuits Based on Reinforcement Learning. ATS (2023)
Kaiyan Chang, Ying Wang, Haimeng Ren, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li
ChipGPT: How far are we from natural language hardware design. CoRR (2023)
Shengwen Liang, Ying Wang, Ziming Yuan, Cheng Liu, Huawei Li, Xiaowei Li
VStore: in-storage graph based vector search accelerator. DAC (2022)
Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li
Cognitive SSD+: a deep learning engine for energy-efficient unstructured data retrieval. CCF Trans. High Perform. Comput. 4 (3) (2022)
Cangyuan Li, Ying Wang, Cheng Liu, Shengwen Liang, Huawei Li, Xiaowei Li
GLIST: Towards In-Storage Graph Learning. USENIX Annual Technical Conference (2021)
Lei He, Cheng Liu, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li
GCiM: A Near-Data Processing Accelerator for Graph Construction. DAC (2021)
Shengwen Liang, Ying Wang, Cheng Liu, Lei He, Huawei Li, Dawen Xu, Xiaowei Li
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks. IEEE Trans. Computers 70 (9) (2021)
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
The 2020 Low-Power Computer Vision Challenge. AICAS (2021)
Shengwen Liang, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li
DeepBurning-GL: an Automated Framework for Generating Graph Neural Network Accelerators. ICCAD (2020)
Shengwen Liang, Ying Wang, Youyou Lu, Zhe Yang, Huawei Li, Xiaowei Li
Cognitive SSD: A Deep Learning Engine for In-Storage Data Retrieval. USENIX Annual Technical Conference (2019)
Shengwen Liang, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li
InS-DLA: An In-SSD Deep Learning Accelerator for Near-Data Processing. FPL (2019)
Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li
A None-Sparse Inference Accelerator that Distills and Reuses the Computation Redundancy in CNNs. DAC (2019)