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Shengwen Liang
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Journal Articles
- 2022
- [j2]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): 302-320 (2022) - 2021
- [j1]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): 1511-1525 (2021)
Conference and Workshop Papers
- 2023
- [c11]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: 1-6 - [c10]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: 1-2 - [c9]Yibo Du, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li, Yinhe Han:
PANG: A Pattern-Aware GCN Accelerator for Universal Graphs. ICCD 2023: 263-266 - 2022
- [c8]Shengwen Liang, Ying Wang, Ziming Yuan, Cheng Liu, Huawei Li, Xiaowei Li:
VStore: in-storage graph based vector search accelerator. DAC 2022: 997-1002 - 2021
- [c7]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: 1-4 - [c6]Lei He, Cheng Liu, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li:
GCiM: A Near-Data Processing Accelerator for Graph Construction. DAC 2021: 205-210 - [c5]Cangyuan Li, Ying Wang, Cheng Liu, Shengwen Liang, Huawei Li, Xiaowei Li:
GLIST: Towards In-Storage Graph Learning. USENIX Annual Technical Conference 2021: 225-238 - 2020
- [c4]Shengwen Liang, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li:
DeepBurning-GL: an Automated Framework for Generating Graph Neural Network Accelerators. ICCAD 2020: 72:1-72:9 - 2019
- [c3]Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li:
A None-Sparse Inference Accelerator that Distills and Reuses the Computation Redundancy in CNNs. DAC 2019: 202 - [c2]Shengwen Liang, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li:
InS-DLA: An In-SSD Deep Learning Accelerator for Near-Data Processing. FPL 2019: 173-179 - [c1]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: 395-410
Informal and Other Publications
- 2024
- [i2]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 abs/2403.11202 (2024) - 2023
- [i1]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 abs/2305.14019 (2023)
Coauthor Index
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