Mengshu Sun

97 papers A* 16A 7B 1Misc 2Journal 50Unranked 21
YearRankTypeTitle / Venue / Authors
2026 A conf
LookAhead Tuning: Safer Language Models via Partial Answer Previews.
WSDM
Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Bryan Hooi, Shumin Deng
2026 A* conf
Self-Correction Distillation for Structured Data Question Answering.
AAAI
Yushan Zhu, Wen Zhang, Long Jin, Mengshu Sun, Ling Zhong, Zhiqiang Liu, Juan Li, Lei Liang, Chong Long, Chao Deng, Junlan Feng
2026 J jnl
Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts.
CoRR
Sijia Luo, Xiaokang Zhang, Yuxuan Hu, Bohan Zhang, Ke Wang, Jinbo Su, Mengshu Sun, Lei Liang, Jing Zhang
2026 A* conf
Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction.
AAAI
Jun Xu, Xinkai Du, Yu Ao, Peilong Zhao, Yang Li, Ling Zhong, Lin Yuan, Zhongpu Bo, Xiaorui Wang, Mengshu Sun, Zhengke Gui, Dalong Zhang, Zhaoyang Wang, QiWei Wang, Yangyang Hou, ZhiYing Yi, Haofen Wang, Huajun Chen, Lei Liang, Jun Zhou
2025 J jnl
Bi'an: A Bilingual Benchmark and Model for Hallucination Detection in Retrieval-Augmented Generation.
CoRR
Zhouyu Jiang, Mengshu Sun, Zhiqiang Zhang, Lei Liang
2025 J jnl
Collaboration of Fusion and Independence: Hypercomplex-driven Robust Multi-Modal Knowledge Graph Completion.
CoRR
Zhiqiang Liu, Yichi Zhang, Mengshu Sun, Lei Liang, Wen Zhang
2025 J jnl
Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models.
CoRR
Hao Cheng, Erjia Xiao, Yichi Wang, Kaidi Xu, Mengshu Sun, Jindong Gu, Renjing Xu
2025 — conf
Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking.
ACL (1)
Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen
2025 J jnl
Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking.
CoRR
Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen
2025 A* conf
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis.
AAAI
Lin Yuan, Jun Xu, Honghao Gui, Mengshu Sun, Zhiqiang Zhang, Lei Liang, Jun Zhou
2025 J jnl
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis.
CoRR
Lin Yuan, Jun Xu, Honghao Gui, Mengshu Sun, Zhiqiang Zhang, Lei Liang, Jun Zhou
2025 J jnl
K-ON: Stacking Knowledge On the Head Layer of Large Language Model.
CoRR
Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen
2025 A* conf
K-ON: Stacking Knowledge on the Head Layer of Large Language Model.
AAAI
Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen
2025 J jnl
KAG-Thinker: Interactive Thinking and Deep Reasoning in LLMs via Knowledge-Augmented Generation.
CoRR
Dalong Zhang, Jun Xu, Jun Zhou, Lei Liang, Lin Yuan, Ling Zhong, Mengshu Sun, Peilong Zhao, QiWei Wang, Xiaorui Wang, Xinkai Du, Yangyang Hou, Yu Ao, Zhaoyang Wang, Zhengke Gui, ZhiYing Yi, Zhongpu Bo, Haofen Wang, Huajun Chen
2025 — conf
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation.
WWW (Companion Volume)
Lei Liang, Zhongpu Bo, Zhengke Gui, Zhongshu Zhu, Ling Zhong, Peilong Zhao, Mengshu Sun, Zhiqiang Zhang, Jun Zhou, Wenguang Chen, Wen Zhang, Huajun Chen
2025 A* conf
LightThinker: Thinking Step-by-Step Compression.
EMNLP
Jintian Zhang, Yuqi Zhu, Mengshu Sun, Yujie Luo, Shuofei Qiao, Lun Du, Da Zheng, Huajun Chen, Ningyu Zhang
2025 J jnl
LightThinker: Thinking Step-by-Step Compression.
CoRR
Jintian Zhang, Yuqi Zhu, Mengshu Sun, Yujie Luo, Shuofei Qiao, Lun Du, Da Zheng, Huajun Chen, Ningyu Zhang
2025 J jnl
LookAhead Tuning: Safer Language Models via Partial Answer Previews.
CoRR
Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen
2025 — conf
MAQInstruct: Instruction-based Unified Event Relation Extraction.
WWW (Companion Volume)
Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou
2025 J jnl
MAQInstruct: Instruction-based Unified Event Relation Extraction.
CoRR
Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou
2025 J jnl
Mobile-3DCNN: An Acceleration Framework for Ultra-Real-Time Execution of Large 3D CNNs on Mobile Devices.
ACM Trans. Archit. Code Optim.
Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Jun Liu, Mei Zhang, Yanzhi Wang, Xue Lin, Bin Ren
2025 — conf
OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
WWW (Companion Volume)
Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, Haofen Wang, Huajun Chen
2025 A* conf
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models.
WWW
Zhiqiang Liu, Chengtao Gan, Junjie Wang, Yichi Zhang, Zhongpu Bo, Mengshu Sun, Huajun Chen, Wen Zhang
2025 J jnl
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models.
CoRR
Zhiqiang Liu, Chengtao Gan, Junjie Wang, Yichi Zhang, Zhongpu Bo, Mengshu Sun, Huajun Chen, Wen Zhang
2025 — conf
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach.
WWW (Companion Volume)
Zhouyu Jiang, Mengshu Sun, Lei Liang, Zhiqiang Zhang
2025 — conf
SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs.
EMNLP (Findings)
Zhiqiang Liu, Enpei Niu, Yin Hua, Mengshu Sun, Lei Liang, Huajun Chen, Wen Zhang
2025 J jnl
SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs.
CoRR
Zhiqiang Liu, Enpei Niu, Yin Hua, Mengshu Sun, Lei Liang, Huajun Chen, Wen Zhang
2025 J jnl
SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models.
CoRR
Jing Yu, Yuqi Tang, Kehua Feng, Mingyang Rao, Lei Liang, Zhiqiang Zhang, Mengshu Sun, Wen Zhang, Qiang Zhang, Keyan Ding, Huajun Chen
2025 J jnl
Self-Correction Distillation for Structured Data Question Answering.
CoRR
Yushan Zhu, Wen Zhang, Long Jin, Mengshu Sun, Ling Zhong, Zhiqiang Liu, Juan Li, Lei Liang, Chong Long, Chao Deng, Junlan Feng
2025 J jnl
Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction.
CoRR
Jun Xu, Xinkai Du, Yu Ao, Peilong Zhao, Yang Li, Ling Zhong, Lin Yuan, Zhongpu Bo, Xiaorui Wang, Mengshu Sun, Zhengke Gui, Dalong Zhang, Zhaoyang Wang, QiWei Wang, Yangyang Hou, ZhiYing Yi, Haofen Wang, Huajun Chen, Lei Liang, Jun Zhou
2024 — conf
ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models.
LREC/COLING
Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou
2024 J jnl
ChatUIE: Exploring Chat-based Unified Information Extraction using Large Language Models.
CoRR
Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou
2024 — conf
Continual Few-shot Event Detection via Hierarchical Augmentation Networks.
LREC/COLING
Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao
2024 J jnl
Continual Few-shot Event Detection via Hierarchical Augmentation Networks.
CoRR
Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao
2024 — conf
Efficient Knowledge Infusion via KG-LLM Alignment.
ACL (Findings)
Zhouyu Jiang, Ling Zhong, Mengshu Sun, Jun Xu, Rui Sun, Hui Cai, Shuhan Luo, Zhiqiang Zhang
2024 J jnl
Efficient Knowledge Infusion via KG-LLM Alignment.
CoRR
Zhouyu Jiang, Ling Zhong, Mengshu Sun, Jun Xu, Rui Sun, Hui Cai, Shuhan Luo, Zhiqiang Zhang
2024 A conf
Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks.
IROS
Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Renjing Xu
2024 J jnl
Hardware-Friendly 3-D CNN Acceleration With Balanced Kernel Group Sparsity.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Mengshu Sun, Kaidi Xu, Xue Lin, Yongli Hu, Baocai Yin
2024 — conf
IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus.
ACL (Short Papers)
Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen
2024 J jnl
IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus.
CoRR
Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen
2024 — conf
InstructIE: A Bilingual Instruction-based Information Extraction Dataset.
ISWC (3)
Honghao Gui, Shuofei Qiao, Jintian Zhang, Hongbin Ye, Mengshu Sun, Lei Liang, Jeff Z. Pan, Huajun Chen, Ningyu Zhang
2024 J jnl
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation.
CoRR
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
2024 A* conf
MKGL: Mastery of a Three-Word Language.
NeurIPS
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
2024 J jnl
MKGL: Mastery of a Three-Word Language.
CoRR
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
2024 J jnl
Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models.
CoRR
Hao Cheng, Erjia Xiao, Chengyuan Yu, Zhao Yao, Jiahang Cao, Qiang Zhang, Jiaxu Wang, Mengshu Sun, Kaidi Xu, Jindong Gu, Renjing Xu
2024 — conf
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.
VLDB Workshops
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
2024 J jnl
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.
CoRR
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
2024 — conf
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.
EMNLP (Findings)
Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang
2024 J jnl
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.
CoRR
Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang
2024 J jnl
OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
CoRR
Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, Haofen Wang, Huajun Chen
2024 A conf
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers.
ICS
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
2024 J jnl
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers.
CoRR
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
2024 J jnl
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach.
CoRR
Zhouyu Jiang, Mengshu Sun, Lei Liang, Zhiqiang Zhang
2024 — conf
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning.
LREC/COLING
Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao
2024 J jnl
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning.
CoRR
Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao
2023 A conf
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training.
DATE
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
2023 J jnl
Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network.
CoRR
Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
2023 A* conf
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers.
HPCA
Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang
2023 J jnl
InstructIE: A Bilingual Instruction-based Information Extraction Dataset.
CoRR
Honghao Gui, Shuofei Qiao, Jintian Zhang, Hongbin Ye, Mengshu Sun, Lei Liang, Huajun Chen, Ningyu Zhang
2023 — conf
LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation.
EMNLP (Findings)
Zhitao He, Pengfei Cao, Yubo Chen, Kang Liu, Ruopeng Li, Mengshu Sun, Jun Zhao
2023 A* conf
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.
AAAI
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
2023 J jnl
Pursing the Sparse Limitation of Spiking Deep Learning Structures.
CoRR
Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
2022 B conf
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.
FPL
Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
2022 J jnl
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.
CoRR
Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
2022 J jnl
DPNPED: Dynamic Perception Network for Polysemous Event Trigger Detection.
IEEE Access
Jun Xu, Mengshu Sun
2022 — conf
Extracting Trigger-sharing Events via an Event Matrix.
EMNLP (Findings)
Jun Xu, Weidi Xu, Mengshu Sun, Taifeng Wang, Wei Chu
2022 A conf
FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization.
FPGA
Mengshu Sun, Zhengang Li, Alec Lu, Yanyu Li, Sung-En Chang, Xiaolong Ma, Xue Lin, Zhenman Fang
2022 A* conf
FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results.
DAC
Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
2022 Misc conf
Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression.
FCCM
Mengshu Sun, Sheng Lin, Shan Liu, Songnan Li, Yanzhi Wang, Wei Jiang, Wei Wang
2022 A* conf
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results.
DAC
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
2022 J jnl
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers.
CoRR
Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang
2022 J jnl
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.
ACM Trans. Embed. Comput. Syst.
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
2022 J jnl
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.
CoRR
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
2022 — conf
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning.
ECCV (11)
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang
2022 A* conf
TAAS: a timing-aware analytical strategy for AQFP-capable placement automation.
DAC
Peiyan Dong, Yanyue Xie, Hongjia Li, Mengshu Sun, Olivia Chen, Nobuyuki Yoshikawa, Yanzhi Wang
2022 J jnl
VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer.
CoRR
Mengshu Sun, Haoyu Ma, Guoliang Kang, Yifan Jiang, Tianlong Chen, Xiaolong Ma, Zhangyang Wang, Yanzhi Wang
2021 J jnl
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA.
CoRR
Sung-En Chang, Yanyu Li, Mengshu Sun, Yanzhi Wang, Xue Lin
2021 A* conf
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework.
HPCA
Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. H. So, Xuehai Qian, Yanzhi Wang, Xue Lin
2021 A* conf
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions.
ICCV
Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin
2021 J jnl
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions.
CoRR
Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin
2021 A* conf
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.
AAAI
Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren
2021 — conf
Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications.
ASP-DAC
Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang
2021 J jnl
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning.
CoRR
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Bin Ren, Minghai Qin, Hao Tang, Yanzhi Wang
2021 A conf
Towards AQFP-Capable Physical Design Automation.
DATE
Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin
2021 A conf
Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.
RTAS
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
2020 A* conf
3D CNN Acceleration on FPGA using Hardware-Aware Pruning.
DAC
Mengshu Sun, Pu Zhao, Mehmet Güngör, Massoud Pedram, Miriam Leeser, Xue Lin
2020 J jnl
Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.
CoRR
Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Xue Lin, Bin Ren
2020 — conf
Adversarial T-Shirt! Evading Person Detectors in a Physical World.
ECCV (5)
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
2020 J jnl
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework.
CoRR
Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Runbin Shi, Xue Lin, Yanzhi Wang
2020 J jnl
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework.
CoRR
Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden Kwok-Hay So, Xuehai Qian, Yanzhi Wang, Xue Lin
2020 J jnl
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency.
CoRR
Zhengang Li, Yifan Gong, Xiaolong Ma, Sijia Liu, Mengshu Sun, Zheng Zhan, Zhenglun Kong, Geng Yuan, Yanzhi Wang
2020 Misc conf
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks.
ICASSP
Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin
2020 J jnl
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks.
CoRR
Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin
2019 J jnl
Evading Real-Time Person Detectors by Adversarial T-shirt.
CoRR
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
2019 — conf
HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks.
ACM Great Lakes Symposium on VLSI
Mengshu Sun, Pu Zhao, Yanzhi Wang, Naehyuck Chang, Xue Lin
2019 J jnl
Interpreting Adversarial Examples by Activation Promotion and Suppression.
CoRR
Kaidi Xu, Sijia Liu, Gaoyuan Zhang, Mengshu Sun, Pu Zhao, Quanfu Fan, Chuang Gan, Xue Lin
2014 — conf
From Post to Values: Mining Schwartz Values of Individuals from Social Media.
SMP
Mengshu Sun, Huaping Zhang, Yanping Zhao, Jianyun Shang