From Post to Values: Mining Schwartz Values of Individuals from Social Media. - Mengshu Sun; Huaping Zhang; Yanping Zhao; Jianyun Shang (SMP, 2014)

HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks. - Mengshu Sun; Pu Zhao 001; Yanzhi Wang; Naehyuck Chang; Xue Lin 001 (ACM Great Lakes Symposium on VLSI, 2019)

Interpreting Adversarial Examples by Activation Promotion and Suppression. - Kaidi Xu; Sijia Liu 001; Gaoyuan Zhang; Mengshu Sun; Pu Zhao 001; Quanfu Fan; Chuang Gan 001; Xue Lin 001 (CoRR, 2019)

Evading Real-Time Person Detectors by Adversarial T-shirt. - Kaidi Xu; Gaoyuan Zhang; Sijia Liu 001; Quanfu Fan; Mengshu Sun; Hongge Chen; Pin-Yu Chen; Yanzhi Wang; Xue Lin 001 (CoRR, 2019)

3D CNN Acceleration on FPGA using Hardware-Aware Pruning. - Mengshu Sun; Pu Zhao 001; Mehmet Güngör; Massoud Pedram; Miriam Leeser; Xue Lin 001 (DAC, 2020)

Adversarial T-Shirt! Evading Person Detectors in a Physical World. - Kaidi Xu; Gaoyuan Zhang; Sijia Liu 001; Quanfu Fan; Mengshu Sun; Hongge Chen; Pin-Yu Chen; Yanzhi Wang; Xue Lin 001 (ECCV (5), 2020)

Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. - Kaidi Xu; Sijia Liu 001; Pin-Yu Chen; Mengshu Sun; Caiwen Ding; Bhavya Kailkhura; Xue Lin 001 (ICASSP, 2020)

SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency. - Zhengang Li; Yifan Gong 004; Xiaolong Ma; Sijia Liu 001; Mengshu Sun; Zheng Zhan 001; Zhenglun Kong; Geng Yuan; Yanzhi Wang (CoRR, 2020)

Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. - Wei Niu 002; Mengshu Sun; Zhengang Li; Jou-An Chen; Jiexiong Guan; Xipeng Shen; Yanzhi Wang; Xue Lin 001; Bin Ren (CoRR, 2020)

MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework. - Sung-En Chang; Yanyu Li; Mengshu Sun; Weiwen Jiang; Runbin Shi; Xue Lin 001; Yanzhi Wang (CoRR, 2020)

RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. - Wei Niu 002; Mengshu Sun; Zhengang Li; Jou-An Chen; Jiexiong Guan; Xipeng Shen; Yanzhi Wang; Sijia Liu 001; Xue Lin 001; Bin Ren (AAAI, 2021)

Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. - Hongjia Li; Geng Yuan; Wei Niu 002; Yuxuan Cai 001; Mengshu Sun; Zhengang Li; Bin Ren; Xue Lin 001; Yanzhi Wang (ASP-DAC, 2021)

Towards AQFP-Capable Physical Design Automation. - Hongjia Li; Mengshu Sun; Tianyun Zhang; Olivia Chen; Nobuyuki Yoshikawa; Bei Yu 001; Yanzhi Wang; Yibo Lin (DATE, 2021)

Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. - Sung-En Chang; Yanyu Li; Mengshu Sun; Runbin Shi; Hayden K. H. So; Xuehai Qian; Yanzhi Wang; Xue Lin 001 (HPCA, 2021)

RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. - Sung-En Chang; Yanyu Li; Mengshu Sun; Weiwen Jiang; Sijia Liu 001; Yanzhi Wang; Xue Lin 001 (ICCV, 2021)

Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. - Geng Yuan; Peiyan Dong; Mengshu Sun; Wei Niu 002; Zhengang Li; Yuxuan Cai 001; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren; Xulong Tang; Yanzhi Wang (RTAS, 2021)

ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA. - Sung-En Chang; Yanyu Li; Mengshu Sun; Yanzhi Wang; Xue Lin 001 (CoRR, 2021)

SPViT: Enabling Faster Vision Transformers via Soft Token Pruning. - Zhenglun Kong; Peiyan Dong; Xiaolong Ma; Xin Meng; Wei Niu 002; Mengshu Sun; Bin Ren; Minghai Qin; Hao Tang 005; Yanzhi Wang (CoRR, 2021)

Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. - Sung-En Chang; Geng Yuan; Alec Lu; Mengshu Sun; Yanyu Li; Xiaolong Ma; Zhengang Li; Yanyue Xie; Minghai Qin; Xue Lin 001; Zhenman Fang; Yanzhi Wang (DAC, 2022)

TAAS: a timing-aware analytical strategy for AQFP-capable placement automation. - Peiyan Dong; Yanyue Xie; Hongjia Li; Mengshu Sun; Olivia Chen; Nobuyuki Yoshikawa; Yanzhi Wang (DAC, 2022)

FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. - Mengshu Sun; Zhengang Li; Alec Lu; Haoyu Ma; Geng Yuan; Yanyue Xie; Hao Tang 005; Yanyu Li; Miriam Leeser; Zhangyang Wang; Xue Lin 001; Zhenman Fang (DAC, 2022)

SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. - Zhenglun Kong; Peiyan Dong; Xiaolong Ma; Xin Meng; Wei Niu 002; Mengshu Sun; Xuan Shen; Geng Yuan; Bin Ren; Hao Tang 005; Minghai Qin; Yanzhi Wang (ECCV (11), 2022)

Extracting Trigger-sharing Events via an Event Matrix. - Jun Xu; Weidi Xu; Mengshu Sun; Taifeng Wang; Wei Chu (EMNLP (Findings), 2022)

Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression. - Mengshu Sun; Sheng Lin 001; Shan Liu 001; Songnan Li; Yanzhi Wang; Wei Jiang 001; Wei Wang 311 (FCCM, 2022)

FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. - Mengshu Sun; Zhengang Li; Alec Lu; Yanyu Li; Sung-En Chang; Xiaolong Ma; Xue Lin 001; Zhenman Fang (FPGA, 2022)

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. - Zhengang Li; Mengshu Sun; Alec Lu; Haoyu Ma; Geng Yuan; Yanyue Xie; Hao Tang 005; Yanyu Li; Miriam Leeser; Zhangyang Wang; Xue Lin 001; Zhenman Fang (FPL, 2022)

DPNPED: Dynamic Perception Network for Polysemous Event Trigger Detection. - Jun Xu 030; Mengshu Sun (IEEE Access, 2022)

VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer. - Mengshu Sun; Haoyu Ma; Guoliang Kang; Yifan Jiang 001; Tianlong Chen 001; Xiaolong Ma; Zhangyang Wang; Yanzhi Wang (CoRR, 2022)

Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. - Geng Yuan; Peiyan Dong; Mengshu Sun; Wei Niu 002; Zhengang Li; Yuxuan Cai 001; Yanyu Li; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren; Xulong Tang; et al. (ACM Trans. Embed. Comput. Syst., 2022)

Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. - Zhenglun Kong; Haoyu Ma; Geng Yuan; Mengshu Sun; Yanyue Xie; Peiyan Dong; Xin Meng; Xuan Shen; Hao Tang 005; Minghai Qin; Tianlong Chen 001; Xiaolong Ma; et al. (AAAI, 2023)

ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. - Sung-En Chang; Geng Yuan; Alec Lu; Mengshu Sun; Yanyu Li; Xiaolong Ma; Zhengang Li; Yanyue Xie; Minghai Qin; Xue Lin 001; Zhenman Fang; Yanzhi Wang (DATE, 2023)

LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation. - Zhitao He 001; Pengfei Cao; Yubo Chen 001; Kang Liu 001; Ruopeng Li; Mengshu Sun; Jun Zhao 001 (EMNLP (Findings), 2023)

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. - Peiyan Dong; Mengshu Sun; Alec Lu; Yanyue Xie; Kenneth Liu; Zhenglun Kong; Xin Meng; Zhengang Li; Xue Lin 001; Zhenman Fang; Yanzhi Wang (HPCA, 2023)

InstructIE: A Bilingual Instruction-based Information Extraction Dataset. - Honghao Gui; Shuofei Qiao; Jintian Zhang; Hongbin Ye; Mengshu Sun; Lei Liang 002; Huajun Chen; Ningyu Zhang 001 (CoRR, 2023)

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Pu Zhao 001; Mengshu Sun; Jiaxu Wang; Jize Zhang; Xue Lin 001; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

Pursing the Sparse Limitation of Spiking Deep Learning Structures. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Mengshu Sun; Le Yang; Jize Zhang; Xue Lin 001; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus. - Honghao Gui; Lin Yuan; Hongbin Ye; Ningyu Zhang 001; Mengshu Sun; Lei Liang 002; Huajun Chen (ACL (Short Papers), 2024)

Efficient Knowledge Infusion via KG-LLM Alignment. - Zhouyu Jiang; Ling Zhong; Mengshu Sun; Jun Xu; Rui Sun; Hui Cai; Shuhan Luo; Zhiqiang Zhang (ACL (Findings), 2024)

Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. - Zhitao He 001; Pengfei Cao; Zhuoran Jin; Yubo Chen 001; Kang Liu 001; Zhiqiang Zhang; Mengshu Sun; Jun Zhao 001 (LREC/COLING, 2024)

ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models. - Jun Xu; Mengshu Sun; Zhiqiang Zhang; Jun Zhou (LREC/COLING, 2024)

Continual Few-shot Event Detection via Hierarchical Augmentation Networks. - Chenlong Zhang; Pengfei Cao; Yubo Chen 001; Kang Liu 001; Zhiqiang Zhang; Mengshu Sun; Jun Zhao 001 (LREC/COLING, 2024)

OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. - Jintian Zhang; Cheng Peng; Mengshu Sun; Xiang Chen 016; Lei Liang 002; Zhiqiang Zhang 012; Jun Zhou 011; Huajun Chen; Ningyu Zhang 001 (EMNLP (Findings), 2024)

Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. - Zhengang Li; Alec Lu; Yanyue Xie; Zhenglun Kong; Mengshu Sun; Hao Tang 005; Zhong Jia Xue; Peiyan Dong; Caiwen Ding; Yanzhi Wang; Xue Lin 001; Zhenman Fang (ICS, 2024)

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Mengshu Sun; Renjing Xu (IROS, 2024)

MKGL: Mastery of a Three-Word Language. - Lingbing Guo; Zhongpu Bo; Zhuo Chen 007; Yichi Zhang 009; Jiaoyan Chen 001; Yarong Lan; Mengshu Sun; Zhiqiang Zhang 012; Yangyifei Luo; Qian Li 033; Qiang Zhang 026; Wen Zhang 015; et al. (NeurIPS, 2024)

InstructIE: A Bilingual Instruction-based Information Extraction Dataset. - Honghao Gui; Shuofei Qiao; Jintian Zhang; Hongbin Ye; Mengshu Sun; Lei Liang 002; Jeff Z. Pan; Huajun Chen; Ningyu Zhang 001 (ISWC (3), 2024)

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. - Ningyu Zhang 001; Zekun Xi; Yujie Luo; Peng Wang 104; Bozhong Tian; Yunzhi Yao; Jintian Zhang; Shumin Deng; Mengshu Sun; Lei Liang 002; Zhiqiang Zhang 012; Xiaowei Zhu; et al. (VLDB Workshops, 2024)

IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus. - Honghao Gui; Lin Yuan; Hongbin Ye; Ningyu Zhang 001; Mengshu Sun; Lei Liang 002; Huajun Chen (CoRR, 2024)

Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach. - Zhouyu Jiang; Mengshu Sun; Lei Liang 001; Zhiqiang Zhang 012 (CoRR, 2024)

Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models. - Hao Cheng 015; Erjia Xiao; Chengyuan Yu; Zhao Yao; Jiahang Cao; Qiang Zhang 029; Jiaxu Wang; Mengshu Sun; Kaidi Xu; Jindong Gu; Renjing Xu (CoRR, 2024)

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation. - Lei Liang 002; Mengshu Sun; Zhengke Gui; Zhongshu Zhu; Zhouyu Jiang; Ling Zhong; Yuan Qu; Peilong Zhao; Zhongpu Bo; Jin Yang; Huaidong Xiong; Lin Yuan; et al. (CoRR, 2024)

Hardware-Friendly 3-D CNN Acceleration With Balanced Kernel Group Sparsity. - Mengshu Sun; Kaidi Xu; Xue Lin 001; Yongli Hu; Baocai Yin (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

K-ON: Stacking Knowledge on the Head Layer of Large Language Model. - Lingbing Guo; Yichi Zhang 009; Zhongpu Bo; Zhuo Chen 007; Mengshu Sun; Zhiqiang Zhang 012; Wen Zhang 015; Huajun Chen (AAAI, 2025)

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis. - Lin Yuan; Jun Xu; Honghao Gui; Mengshu Sun; Zhiqiang Zhang; Lei Liang; Jun Zhou (AAAI, 2025)

Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking. - Yichi Zhang 009; Zhuo Chen 007; Lingbing Guo; Yajing Xu; Shaokai Chen; Mengshu Sun; Binbin Hu; Zhiqiang Zhang 012; Lei Liang 002; Wen Zhang 015; Huajun Chen (ACL (1), 2025)

Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach. - Zhouyu Jiang; Mengshu Sun; Lei Liang 002; Zhiqiang Zhang 012 (WWW (Companion Volume), 2025)

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation. - Lei Liang 002; Zhongpu Bo; Zhengke Gui; Zhongshu Zhu; Ling Zhong; Peilong Zhao; Mengshu Sun; Zhiqiang Zhang 012; Jun Zhou 011; Wenguang Chen; Wen Zhang 015; Huajun Chen (WWW (Companion Volume), 2025)

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models. - Zhiqiang Liu; Chengtao Gan; Junjie Wang; Yichi Zhang 009; Zhongpu Bo; Mengshu Sun; Huajun Chen; Wen Zhang 015 (WWW, 2025)

OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. - Yujie Luo; Xiangyuan Ru; Kangwei Liu; Lin Yuan; Mengshu Sun; Ningyu Zhang 001; Lei Liang 002; Zhiqiang Zhang 012; Jun Zhou 011; Lanning Wei; Da Zheng; Haofen Wang; et al. (WWW (Companion Volume), 2025)

MAQInstruct: Instruction-based Unified Event Relation Extraction. - Jun Xu 030; Mengshu Sun; Zhiqiang Zhang 012; Jun Zhou 011 (WWW (Companion Volume), 2025)

MAQInstruct: Instruction-based Unified Event Relation Extraction. - Jun Xu; Mengshu Sun; Zhiqiang Zhang; Jun Zhou (CoRR, 2025)

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models. - Zhiqiang Liu; Chengtao Gan; Junjie Wang; Yichi Zhang; Zhongpu Bo; Mengshu Sun; Huajun Chen; Wen Zhang 015 (CoRR, 2025)

LightThinker: Thinking Step-by-Step Compression. - Jintian Zhang; Yuqi Zhu; Mengshu Sun; Yujie Luo; Shuofei Qiao; Lun Du; Da Zheng; Huajun Chen; Ningyu Zhang 001 (CoRR, 2025)

Bi'an: A Bilingual Benchmark and Model for Hallucination Detection in Retrieval-Augmented Generation. - Zhouyu Jiang; Mengshu Sun; Zhiqiang Zhang 012; Lei Liang (CoRR, 2025)

Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models. - Hao Cheng; Erjia Xiao; Yichi Wang 002; Kaidi Xu; Mengshu Sun; Jindong Gu; Renjing Xu (CoRR, 2025)

LookAhead Tuning: Safer Language Models via Partial Answer Previews. - Kangwei Liu; Mengru Wang; Yujie Luo; Lin Yuan; Mengshu Sun; Ningyu Zhang 001; Lei Liang 002; Zhiqiang Zhang 012; Jun Zhou 011; Huajun Chen (CoRR, 2025)

SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models. - Jing Yu; Yuqi Tang; Kehua Feng; Mingyang Rao; Lei Liang 002; Zhiqiang Zhang 012; Mengshu Sun; Wen Zhang 015; Qiang Zhang 026; Keyan Ding; Huajun Chen (CoRR, 2025)

KAG-Thinker: Interactive Thinking and Deep Reasoning in LLMs via Knowledge-Augmented Generation. - Dalong Zhang; Jun Xu 030; Jun Zhou 011; Lei Liang 002; Lin Yuan; Ling Zhong; Mengshu Sun; Peilong Zhao; QiWei Wang; Xiaorui Wang; Xinkai Du; Yangyang Hou; et al. (CoRR, 2025)

SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs. - Zhiqiang Liu; Enpei Niu; Yin Hua; Mengshu Sun; Lei Liang 002; Huajun Chen; Wen Zhang 015 (CoRR, 2025)