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Author

Mengshu Sun

Observed name: Sun, Mengshu
ORCID: 0000-0003-3540-1464
Observed ORCID: 0000-0003-3540-1464
OpenAlex ID: A5083232044
Adversarial T-Shirt! Evading Person Detectors in a Physical World
2020 · Kaidi Xu, Gaoyuan Zhang, et al. · Lecture notes in computer science · 405
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SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning
2022 · Zhenglun Kong, Peiyan Dong, et al. · Lecture notes in computer science · 184
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers
2023 · Peiyan Dong, Mengshu Sun, et al. · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · 142
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Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
2021 · Sung-En Chang, Yanyu Li, et al. · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · 134
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FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization
2022 · Mengshu Sun, Zhengang Li, et al. · ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) · 109
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization
2022 · Zhengang Li, Mengshu Sun, et al. · International Conference on Field Programmable Logic and Applications (FPL) · 89
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VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit Vision Transformer
2022 · Sun, Mengshu, Ma, Haoyu, et al. · arXiv (Cornell University) · 57
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SPViT: Enabling Faster Vision Transformers via Soft Token Pruning
2021 · Kong, Zhenglun, Dong, Peiyan, et al. · arXiv (Cornell University) · 42
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Interpreting Adversarial Examples by Activation Promotion and Suppression
2019 · Xu, Kaidi, Liu, Sijia, et al. · arXiv (Cornell University) · 40
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3D CNN Acceleration on FPGA using Hardware-Aware Pruning
2020 · Mengshu Sun, Pu Zhao, et al. · ACM/IEEE Design Automation Conference (DAC) · 39
Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models
2024 · Cheng, Hao, Xiao, Erjia, et al. · arXiv (Cornell University) · 26
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Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models
2025 · Cheng, Hao, Xiao, Erjia, et al. · arXiv (Cornell University) · 19
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SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency
2020 · Li, Zhengang, Gong, Yifan, et al. · arXiv (Cornell University) · 19
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Power management in hybrid electric vehicles using deep recurrent reinforcement learning
2021 · Mengshu Sun, Pu Zhao, et al. · Electrical Engineering · 17
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
2023 · Zhenglun Kong, Haoyu Ma, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 16
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Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers
2024 · Zhengang Li, Alec Lu, et al. · International Conference on Supercomputing · 12
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RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
2021 · Wei Niu, Mengshu Sun, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 12
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework
2020 · Chang, Sung-En, Li, Yanyu, et al. · arXiv (Cornell University) · 12
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Towards an Efficient and General Framework of Robust Training for Graph Neural Networks
2020 · Kaidi Xu, Sijia Liu, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 12
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FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization
2022 · Mengshu Sun, Zhengang Li, et al. · ACM/IEEE Design Automation Conference (DAC) · 11
Real-Time Mobile Acceleration of DNNs
2021 · Hongjia Li, Geng Yuan, et al. · Asia and South Pacific Design Automation Conference (ASP-DAC) · 11
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Hierarchical and hybrid energy storage devices in data centers: Architecture, control and provisioning
2018 · Mengshu Sun, Yuankun Xue, et al. · PLoS ONE · 9
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RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions
2021 · Sung-En Chang, Yanyu Li, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 8
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ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training
2023 · Sung-En Chang, Geng Yuan, et al. · Design, Automation, and Test in Europe · 7
TAAS
2022 · Peiyan Dong, Yanyue Xie, et al. · ACM/IEEE Design Automation Conference (DAC) · 7
Works count: 45
Citation count: 1,482
H-index: 15
I10-index: 21
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