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2020 – today
- 2024
[j3]Mengshu Sun
, Kaidi Xu, Xue Lin, Yongli Hu, Baocai Yin:
Hardware-Friendly 3-D CNN Acceleration With Balanced Kernel Group Sparsity. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 3027-3040 (2024)- [c32]Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen:
IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus. ACL (Short Papers) 2024: 127-146 - [c31]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: 2986-2999 - [c30]Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou:
ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models. LREC/COLING 2024: 3146-3152 - [c29]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: 3868-3880 - [c28]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: 17833-17850 - [c27]Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang:
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. EMNLP (Findings) 2024: 4088-4119 - [c26]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: 324-337 - [c25]Honghao Gui, Shuofei Qiao, Jintian Zhang, Hongbin Ye, Mengshu Sun, Lei Liang, Jeff Z. Pan, Huajun Chen, Ningyu Zhang:
InstructIE: A Bilingual Instruction-based Information Extraction Dataset. ISWC (3) 2024: 59-79 - [c24]Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen:
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. VLDB Workshops 2024 - [i29]Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen:
IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus. CoRR abs/2402.14710 (2024) - [i28]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 abs/2403.02893 (2024) - [i27]Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou:
ChatUIE: Exploring Chat-based Unified Information Extraction using Large Language Models. CoRR abs/2403.05132 (2024) - [i26]Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao:
Continual Few-shot Event Detection via Hierarchical Augmentation Networks. CoRR abs/2403.17733 (2024) - [i25]Zhouyu Jiang, Ling Zhong, Mengshu Sun, Jun Xu, Rui Sun, Hui Cai, Shuhan Luo, Zhiqiang Zhang:
Efficient Knowledge Infusion via KG-LLM Alignment. CoRR abs/2406.03746 (2024) - [i24]Zhouyu Jiang, Mengshu Sun, Lei Liang, Zhiqiang Zhang:
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach. CoRR abs/2407.13101 (2024) - [i23]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 abs/2407.18175 (2024) - [i22]Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang:
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. CoRR abs/2409.05152 (2024) - [i21]Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen:
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. CoRR abs/2409.07497 (2024) - [i20]Hao Cheng, Erjia Xiao, Chengyuan Yu, Zhao Yao, Jiahang Cao, Qiang Zhang, Jiaxu Wang, Mengshu Sun, Kaidi Xu, Jindong Gu, Renjing Xu:
Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models. CoRR abs/2409.13174 (2024) - [i19]Lei Liang, Mengshu Sun, Zhengke Gui, Zhongshu Zhu, Zhouyu Jiang, Ling Zhong, Yuan Qu, Peilong Zhao, Zhongpu Bo, Jin Yang, Huaidong Xiong, Lin Yuan, Jun Xu, Zaoyang Wang, Zhiqiang Zhang, Wen Zhang, Huajun Chen, Wenguang Chen, Jun Zhou:
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation. CoRR abs/2409.13731 (2024) - [i18]Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen:
MKGL: Mastery of a Three-Word Language. CoRR abs/2410.07526 (2024) - 2023
- [c23]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: 8360-8368 - [c22]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: 1-6 - [c21]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: 9142-9163 - [c20]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: 442-455 - [i17]Honghao Gui, Shuofei Qiao, Jintian Zhang, Hongbin Ye, Mengshu Sun, Lei Liang, Huajun Chen, Ningyu Zhang:
InstructIE: A Bilingual Instruction-based Information Extraction Dataset. CoRR abs/2305.11527 (2023) - [i16]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 abs/2309.13302 (2023) - [i15]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 abs/2311.12060 (2023) - 2022
- [j2]Jun Xu, Mengshu Sun:
DPNPED: Dynamic Perception Network for Polysemous Event Trigger Detection. IEEE Access 10: 104801-104810 (2022) - [j1]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): 65:1-65:22 (2022) - [c19]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: 1321-1326 - [c18]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: 1394-1395 - [c17]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: 1396-1397 - [c16]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: 620-640 - [c15]Jun Xu, Weidi Xu, Mengshu Sun, Taifeng Wang, Wei Chu:
Extracting Trigger-sharing Events via an Event Matrix. EMNLP (Findings) 2022: 1189-1201 - [c14]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: 1 - [c13]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: 134-145 - [c12]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: 109-116 - [i14]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 abs/2201.06618 (2022) - [i13]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 abs/2208.05163 (2022) - [i12]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 abs/2211.08110 (2022) - [i11]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 abs/2211.10801 (2022) - 2021
- [c11]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: 9179-9187 - [c10]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: 581-586 - [c9]Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin:
Towards AQFP-Capable Physical Design Automation. DATE 2021: 954-959 - [c8]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: 208-220 - [c7]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: 5231-5240 - [c6]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: 493-496 - [i10]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 abs/2111.00153 (2021) - [i9]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 abs/2111.00155 (2021) - [i8]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 abs/2112.13890 (2021) - 2020
- [c5]Mengshu Sun, Pu Zhao, Mehmet Güngör, Massoud Pedram, Miriam Leeser, Xue Lin:
3D CNN Acceleration on FPGA using Hardware-Aware Pruning. DAC 2020: 1-6 - [c4]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: 665-681 - [c3]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: 8479-8483 - [i7]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 abs/2001.08839 (2020) - [i6]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 abs/2002.10947 (2020) - [i5]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 abs/2007.09835 (2020) - [i4]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 abs/2009.07460 (2020) - [i3]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 abs/2012.04240 (2020)
2010 – 2019
- 2019
- [c2]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: 81-86 - [i2]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 abs/1904.02057 (2019) - [i1]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 abs/1910.11099 (2019) - 2014
- [c1]Mengshu Sun, Huaping Zhang, Yanping Zhao, Jianyun Shang:
From Post to Values: Mining Schwartz Values of Individuals from Social Media. SMP 2014: 206-219
Coauthor Index
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last updated on 2024-12-13 20:04 CET by the dblp team
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