Shengwen Liang

Orcid: 0000-0001-8407-2594

According to our database¹, Shengwen Liang authored at least 42 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

QiMeng: Fully Automated Hardware and Software Design for Processor Chip.

[BibT_eX]

[DOI]

CoRR, June, 2025

Large Processor Chip Model.

[BibT_eX]

[DOI]

CoRR, June, 2025

CodeV-R1: Reasoning-Enhanced Verilog Generation.

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

Integr., 2025

HighTPI: A Hierarchical Graph Based Intelligent Method for Test Point Insertion.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE VLSI Test Symposium, 2025

Frontier-guided Graph Reordering.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 26th ACM SIGPLAN/SIGBED International Conference on Languages, 2025

XHarvest: Rethinking High-Performance and Cost-Efficient SSD Architecture with CXL-Driven Harvesting.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Taijigraph: an Out-Of-Core Graph Processing System Enhanced with Computational Storage.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

FrontOrder: Frontier-Guided Graph Reordering.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

NeuVSA: A Unified and Efficient Accelerator for Neural Vector Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

ERASER: Efficient RTL FAult Simulation Framework with Trimmed Execution Redundancy.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

AGC: A Unified Architecture for Accelerating K-Nearest Neighbor Graph Construction in Vector Search.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE Asian Test Symposium, 2023

2022

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

[BibT_eX]

[DOI]

CCF Trans. High Perform. Comput., 2022

VStore: in-storage graph based vector search accelerator.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2021

GLIST: Towards In-Storage Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

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

[BibT_eX]

[DOI]

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

The 2020 Low-Power Computer Vision Challenge.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Shengwen Liang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...