Mengshu Sun

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 52

Top Topics

Comprehensive Evaluation

Energy Efficiency

Top Venues

Publications

Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao
Continual Few-shot Event Detection via Hierarchical Augmentation Networks. LREC/COLING (2024)
Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. CoRR (2024)
Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. LREC/COLING (2024)
Zhouyu Jiang, Ling Zhong, Mengshu Sun, Jun Xu, Rui Sun, Hui Cai, Shuhan Luo, Zhiqiang Zhang
Efficient Knowledge Infusion via KG-LLM Alignment. ACL (Findings) (2024)
Zhouyu Jiang, Ling Zhong, Mengshu Sun, Jun Xu, Rui Sun, Hui Cai, Shuhan Luo, Zhiqiang Zhang
Efficient Knowledge Infusion via KG-LLM Alignment. CoRR (2024)
Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen
IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus. CoRR (2024)
Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. CoRR (2024)
Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou
ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models. LREC/COLING (2024)
Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. ICS (2024)
Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao
Continual Few-shot Event Detection via Hierarchical Augmentation Networks. CoRR (2024)
Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou
ChatUIE: Exploring Chat-based Unified Information Extraction using Large Language Models. CoRR (2024)
Zhouyu Jiang, Mengshu Sun, Lei Liang, Zhiqiang Zhang
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach. CoRR (2024)
Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. AAAI (2023)
Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. CoRR (2023)
Zhitao He, Pengfei Cao, Yubo Chen, Kang Liu, Ruopeng Li, Mengshu Sun, Jun Zhao
LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation. EMNLP (Findings) (2023)
Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
Pursing the Sparse Limitation of Spiking Deep Learning Structures. CoRR (2023)
Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. DATE (2023)
Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. HPCA (2023)
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. ACM Trans. Embed. Comput. Syst. 21 (5) (2022)
Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. DAC (2022)
Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. CoRR (2022)
Jun Xu, Weidi Xu, Mengshu Sun, Taifeng Wang, Wei Chu
Extracting Trigger-sharing Events via an Event Matrix. EMNLP (Findings) (2022)
Mengshu Sun, Sheng Lin, Shan Liu, Songnan Li, Yanzhi Wang, Wei Jiang, Wei Wang
Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression. FCCM (2022)
Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. FPL (2022)
Peiyan Dong, Yanyue Xie, Hongjia Li, Mengshu Sun, Olivia Chen, Nobuyuki Yoshikawa, Yanzhi Wang
TAAS: a timing-aware analytical strategy for AQFP-capable placement automation. DAC (2022)
Mengshu Sun, Zhengang Li, Alec Lu, Yanyu Li, Sung-En Chang, Xiaolong Ma, Xue Lin, Zhenman Fang
FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. FPGA (2022)
Mengshu Sun, Haoyu Ma, Guoliang Kang, Yifan Jiang, Tianlong Chen, Xiaolong Ma, Zhangyang Wang, Yanzhi Wang
VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer. CoRR (2022)
Jun Xu, Mengshu Sun
DPNPED: Dynamic Perception Network for Polysemous Event Trigger Detection. IEEE Access 10 (2022)
Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. DAC (2022)
Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. CoRR (2022)
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. ECCV (11) (2022)
Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. CoRR (2022)
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Bin Ren, Minghai Qin, Hao Tang, Yanzhi Wang
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning. CoRR (2021)
Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. H. So, Xuehai Qian, Yanzhi Wang, Xue Lin
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. HPCA (2021)
Sung-En Chang, Yanyu Li, Mengshu Sun, Yanzhi Wang, Xue Lin
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA. CoRR (2021)
Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. CoRR (2021)
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. RTAS (2021)
Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. ICCV (2021)
Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. AAAI (2021)
Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang
Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. ASP-DAC (2021)
Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin
Towards AQFP-Capable Physical Design Automation. DATE (2021)
Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Xue Lin, Bin Ren
Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. CoRR (2020)
Zhengang Li, Yifan Gong, Xiaolong Ma, Sijia Liu, Mengshu Sun, Zheng Zhan, Zhenglun Kong, Geng Yuan, Yanzhi Wang
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency. CoRR (2020)
Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. ICASSP (2020)
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
Adversarial T-Shirt! Evading Person Detectors in a Physical World. ECCV (5) (2020)
Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. CoRR (2020)
Mengshu Sun, Pu Zhao, Mehmet Güngör, Massoud Pedram, Miriam Leeser, Xue Lin
3D CNN Acceleration on FPGA using Hardware-Aware Pruning. DAC (2020)
Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden Kwok-Hay So, Xuehai Qian, Yanzhi Wang, Xue Lin
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. CoRR (2020)
Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Runbin Shi, Xue Lin, Yanzhi Wang
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework. CoRR (2020)
Kaidi Xu, Sijia Liu, Gaoyuan Zhang, Mengshu Sun, Pu Zhao, Quanfu Fan, Chuang Gan, Xue Lin
Interpreting Adversarial Examples by Activation Promotion and Suppression. CoRR (2019)
Mengshu Sun, Pu Zhao, Yanzhi Wang, Naehyuck Chang, Xue Lin
HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks. ACM Great Lakes Symposium on VLSI (2019)
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
Evading Real-Time Person Detectors by Adversarial T-shirt. CoRR (2019)
Mengshu Sun, Huaping Zhang, Yanping Zhao, Jianyun Shang
From Post to Values: Mining Schwartz Values of Individuals from Social Media. SMP (2014)