Shengwen Liang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
14
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DAC | PastATPG: A Hybrid ATPG Framework for Better Test Compaction with Partial Assignment SAT. | Zhiteng Chao, Xindi Zhang, Xinyu Zhang, Jianan Mu, Zizhen Liu, Shengwen Liang, Shaowei Cai, Jing Ye, Xiaowei Li, Huawei Li |
| 2025 | DAC | MOSS: Multi-Modal Representation Learning on Sequential Circuits. | Mingjun Wang, Bin Sun, Jianan Mu, Feng Gu, Boyu Han, Tianmeng Yang, Xinyu Zhang, Silin Liu, Yihan Wen, Hui Wang, Jun Gao, Zhiteng Chao, Husheng Han, Zizhen Liu, Shengwen Liang, Jing Ye, Bei Yu, Xiaowei Li, Huawei Li |
| 2025 | DAC | EPICS: Efficient Parallel Pattern Fault Simulation for Sequential Circuits via Strongly Connected Components. | Mingjun Wang, Hui Wang, Jianan Mu, Xinyu Zhang, Bin Sun, Yihan Wen, Zizhen Liu, Feng Gu, Jun Gao, Shengwen Liang, Jing Ye, Xiaowei Li, Huawei Li |
| 2025 | DATE | ERASER: Efficient RTL FAult Simulation Framework with Trimmed Execution Redundancy. | Jiaping Tang, Jianan Mu, Silin Liu, Zizhen Liu, Feng Gu, Xinyu Zhang, Leyan Wang, Shengwen Liang, Jing Ye, Huawei Li, Xiaowei Li |
| 2025 | HPCA | InstAttention: 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 |
| 2025 | HPCA | NeuVSA: A Unified and Efficient Accelerator for Neural Vector Search. | Ziming Yuan, Lei Dai, Wen Li, Jie Zhang, Shengwen Liang, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li, Jiafeng Guo, Peng Wang, Renhai Chen, Gong Zhang |
| 2025 | ICDE | FrontOrder: Frontier-Guided Graph Reordering. | Xinmiao Zhang, Cheng Liu, Shengwen Liang, Chenwei Xiong, Yu Zhang, Lei Zhang, Huawei Li, Xiaowei Li |
| 2025 | ISCA | XHarvest: Rethinking High-Performance and Cost-Efficient SSD Architecture with CXL-Driven Harvesting. | Li Peng, Wenbo Wu, Shushu Yi, Xianzhang Chen, Chenxi Wang, Shengwen Liang, Zhe Wang, Nong Xiao, Qiao Li, Mingzhe Zhang, Jie Zhang |
| 2025 | MICRO | LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow. | Kaiyan Chang, Wenlong Zhu, Shengwen Liang, Huawei Li, Ying Wang |
| 2025 | PPoPP | Frontier-guided Graph Reordering. | Xinmiao Zhang, Cheng Liu, Shengwen Liang, Chenwei Xiong, Yu Zhang, Lei Zhang, Huawei Li, Xiaowei Li |
| 2025 | SC | 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 |
| 2025 | VTS | HighTPI: A Hierarchical Graph Based Intelligent Method for Test Point Insertion. | Zhiteng Chao, Bin Sun, Hongqin Lyu, Ge Yu, Minjun Wang, Wenxing Li, Zizhen Liu, Jianan Mu, Shengwen Liang, Jing Ye, Xiaowei Li, Huawei Li |
| 2024 | ASPDAC | APoX: Accelerate Graph-Based Deep Point Cloud Analysis via Adaptive Graph Construction. | Lei Dai, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li |
| 2024 | DAC | 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 |
| 2024 | DAC | 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 |
| 2024 | DAC | SmartATPG: Learning-based Automatic Test Pattern Generation with Graph Convolutional Network and Reinforcement Learning. | Wenxing Li, Hongqin Lyu, Shengwen Liang, Tiancheng Wang, Huawei Li |
| 2024 | DAC | 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 |
| 2024 | DATE | GPACE: An Energy-Efficient PQ-Based GCN Accelerator with Redundancy Reduction. | Yibo Du, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li, Yinhe Han |
| 2024 | DATE | HyQA: Hybrid Near-Data Processing Platform for Embedding Based Question Answering System. | Shengwen Liang, Ziming Yuan, Ying Wang, Dawen Xu, Huawei Li, Xiaowei Li |
| 2024 | ICCAD | 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 |
| 2024 | ICCAD | AGC: A Unified Architecture for Accelerating K-Nearest Neighbor Graph Construction in Vector Search. | Lei Dai, Ziming Yuan, Wen Li, Shengwen Liang, Kaiwei Zou, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li |
| 2024 | ISCA | 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 |
| 2024 | MICRO | 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 |
| 2023 | DATE | 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 |
| 2023 | ICCD | PANG: A Pattern-Aware GCN Accelerator for Universal Graphs. | Yibo Du, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li, Yinhe Han |
| 2022 | DAC | VStore: in-storage graph based vector search accelerator. | Shengwen Liang, Ying Wang, Ziming Yuan, Cheng Liu, Huawei Li, Xiaowei Li |
| 2021 | DAC | GCiM: A Near-Data Processing Accelerator for Graph Construction. | Lei He, Cheng Liu, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li |
| 2021 | USENIX | GLIST: Towards In-Storage Graph Learning. | Cangyuan Li, Ying Wang, Cheng Liu, Shengwen Liang, Huawei Li, Xiaowei Li |
| 2020 | ICCAD | DeepBurning-GL: an Automated Framework for Generating Graph Neural Network Accelerators. | Shengwen Liang, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li |
| 2019 | DAC | A None-Sparse Inference Accelerator that Distills and Reuses the Computation Redundancy in CNNs. | Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li |
| 2019 | FPL | InS-DLA: An In-SSD Deep Learning Accelerator for Near-Data Processing. | Shengwen Liang, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li |
| 2019 | USENIX | Cognitive SSD: A Deep Learning Engine for In-Storage Data Retrieval. | Shengwen Liang, Ying Wang, Youyou Lu, Zhe Yang, Huawei Li, Xiaowei Li |