Mengshu Sun

Orcid: 0000-0003-3540-1464

According to our database¹, Mengshu Sun authored at least 53 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

Hardware-Friendly 3-D CNN Acceleration With Balanced Kernel Group Sparsity.

[BibT_eX]

[DOI]

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

OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.

[BibT_eX]

[DOI]

CoRR, 2024

MKGL: Mastery of a Three-Word Language.

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[DOI]

CoRR, 2024

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation.

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CoRR, 2024

Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models.

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[DOI]

CoRR, 2024

Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach.

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[DOI]

CoRR, 2024

IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus.

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[DOI]

CoRR, 2024

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.

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Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

InstructIE: A Bilingual Instruction-based Information Extraction Dataset.

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[DOI]

Proceedings of the Semantic Web - ISWC 2024, 2024

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks.

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[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers.

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[DOI]

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Continual Few-shot Event Detection via Hierarchical Augmentation Networks.

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[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models.

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Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning.

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[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Efficient Knowledge Infusion via KG-LLM Alignment.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Pursing the Sparse Limitation of Spiking Deep Learning Structures.

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[DOI]

CoRR, 2023

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network.

[BibT_eX]

[DOI]

CoRR, 2023

InstructIE: A Bilingual Instruction-based Information Extraction Dataset.

[BibT_eX]

[DOI]

CoRR, 2023

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training.

[BibT_eX]

[DOI]

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

Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.

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[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.

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[DOI]

ACM Trans. Embed. Comput. Syst., September, 2022

VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2022

DPNPED: Dynamic Perception Network for Polysemous Event Trigger Detection.

[BibT_eX]

[DOI]

Jun Xu

Mengshu Sun

IEEE Access, 2022

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization.

[BibT_eX]

[DOI]

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression.

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[DOI]

Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

Extracting Trigger-sharing Events via an Event Matrix.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

TAAS: a timing-aware analytical strategy for AQFP-capable placement automation.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Hardware-efficient stochastic rounding unit design for DNN training: late breaking results.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

SPViT: Enabling Faster Vision Transformers via Soft Token Pruning.

[BibT_eX]

[DOI]

CoRR, 2021

ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA.

[BibT_eX]

[DOI]

CoRR, 2021

Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

Towards AQFP-Capable Physical Design Automation.

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[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications.

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[DOI]

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.

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[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework.

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[DOI]

CoRR, 2020

Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.

[BibT_eX]

[DOI]

CoRR, 2020

SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency.

[BibT_eX]

[DOI]

CoRR, 2020

Towards an Efficient and General Framework of Robust Training for Graph Neural Networks.

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[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Adversarial T-Shirt! Evading Person Detectors in a Physical World.

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[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

3D CNN Acceleration on FPGA using Hardware-Aware Pruning.

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[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Evading Real-Time Person Detectors by Adversarial T-shirt.

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CoRR, 2019

Interpreting Adversarial Examples by Activation Promotion and Suppression.

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[DOI]

CoRR, 2019

HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks.

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[DOI]

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

2014

From Post to Values: Mining Schwartz Values of Individuals from Social Media.

[BibT_eX]

[DOI]

Proceedings of the Social Media Processing - Third National Conference, 2014

Mengshu Sun

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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