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2020 – today
- 2024
[j3]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): 1781-1793 (2024)- [c19]Lei Dai, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li:
APoX: Accelerate Graph-Based Deep Point Cloud Analysis via Adaptive Graph Construction. ASPDAC 2024: 231-237 - [c18]Jianan Mu, Husheng Han, Shangyi Shi, Jing Ye, Zizhen Liu, Shengwen Liang, Meng Li, Mingzhe Zhang, Song Bian, Xing Hu, Huawei Li, Xiaowei Li:
Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption. DAC 2024: 26:1-26:6 - [c17]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. DAC 2024: 60:1-60:6 - [c16]Yibo Du, Ying Wang, Bing Li, Fuping Li, Shengwen Liang, Huawei Li, Xiaowei Li, Yinhe Han:
Chiplever: Towards Effortless Extension of Chiplet-based System for FHE. DAC 2024: 243:1-243:6 - [c15]Wenxing Li, Hongqin Lyu, Shengwen Liang, Tiancheng Wang, Huawei Li:
SmartATPG: Learning-based Automatic Test Pattern Generation with Graph Convolutional Network and Reinforcement Learning. DAC 2024: 296:1-296:6 - [c14]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: 1-6 - [c13]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: 1-6 - [c12]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: 915-930 - [i7]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) - [i6]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 abs/2407.08473 (2024) - [i5]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 abs/2407.12575 (2024) - [i4]Xiurui Pan, Endian Li, Qiao Li, Shengwen Liang, Yizhou Shan, Ke Zhou, Yingwei Luo, Xiaolin Wang, Jie Zhang:
InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference. CoRR abs/2409.04992 (2024) - [i3]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:
Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM. CoRR abs/2409.15654 (2024) - [i2]Mingkai Chen, Tianhua Han, Cheng Liu, Shengwen Liang, Kuai Yu, Lei Dai, Ziming Yuan, Ying Wang, Lei Zhang, Huawei Li, Xiaowei Li:
DRIM-ANN: An Approximate Nearest Neighbor Search Engine based on Commercial DRAM-PIMs. CoRR abs/2410.15621 (2024) - 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 - [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) - 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) - [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
- [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) - [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 ATC 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
2010 – 2019
- 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 ATC 2019: 395-410
Coauthor Index
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last updated on 2024-12-02 22:27 CET by the dblp team
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