Mengshu Sun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
20
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction. | 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 |
| 2026 | AAAI | Self-Correction Distillation for Structured Data Question Answering. | Yushan Zhu, Wen Zhang, Long Jin, Mengshu Sun, Ling Zhong, Zhiqiang Liu, Juan Li, Lei Liang, Chong Long, Chao Deng, Junlan Feng |
| 2026 | ACL | Collaboration of Fusion and Independence: Hypercomplex-driven Robust Multi-Modal Knowledge Graph Completion. | Zhiqiang Liu, Yichi Zhang, Mengshu Sun, Lei Liang, Wen Zhang |
| 2026 | ACL | Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts. | Sijia Luo, Xiaokang Zhang, Yuxuan Hu, Bohan Zhang, Ke Wang, Jinbo Su, Mengshu Sun, Lei Liang, Jing Zhang |
| 2026 | ACL | Know the Known and the Unknown: Reasonable Answer Generation with Knowledge-Informed Citations. | Yichi Zhang, Zhuo Chen, Lingbing Guo, Jun Xu, Mengshu Sun, Zhizhen Liu, Lei Liang, Wen Zhang, Huajun Chen |
| 2026 | WSDM | LookAhead Tuning: Safer Language Models via Partial Answer Previews. | Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Bryan Hooi, Shumin Deng |
| 2025 | AAAI | K-ON: Stacking Knowledge on the Head Layer of Large Language Model. | Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen |
| 2025 | AAAI | 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 |
| 2025 | ACL | Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking. | Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen |
| 2025 | EMNLP | SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs. | Zhiqiang Liu, Enpei Niu, Yin Hua, Mengshu Sun, Lei Liang, Huajun Chen, Wen Zhang |
| 2025 | EMNLP | LightThinker: Thinking Step-by-Step Compression. | Jintian Zhang, Yuqi Zhu, Mengshu Sun, Yujie Luo, Shuofei Qiao, Lun Du, Da Zheng, Huajun Chen, Ningyu Zhang |
| 2025 | WWW | Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach. | Zhouyu Jiang, Mengshu Sun, Lei Liang, Zhiqiang Zhang |
| 2025 | WWW | KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation. | 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 | WWW | 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 |
| 2025 | WWW | OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. | 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 | WWW | MAQInstruct: Instruction-based Unified Event Relation Extraction. | Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou |
| 2024 | ACL | IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus. | Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen |
| 2024 | ACL | Efficient Knowledge Infusion via KG-LLM Alignment. | Zhouyu Jiang, Ling Zhong, Mengshu Sun, Jun Xu, Rui Sun, Hui Cai, Shuhan Luo, Zhiqiang Zhang |
| 2024 | COLING | Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. | Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao |
| 2024 | COLING | ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models. | Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou |
| 2024 | COLING | Continual Few-shot Event Detection via Hierarchical Augmentation Networks. | Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao |
| 2024 | EMNLP | OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. | Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang |
| 2024 | IROS | Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks. | Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Renjing Xu |
| 2024 | ICS | Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. | 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 | VLDB | OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. | 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 |
| 2023 | AAAI | 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, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang |
| 2023 | DATE | 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, Zhenman Fang, Yanzhi Wang |
| 2023 | EMNLP | LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation. | Zhitao He, Pengfei Cao, Yubo Chen, Kang Liu, Ruopeng Li, Mengshu Sun, Jun Zhao |
| 2023 | HPCA | 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, Zhenman Fang, Yanzhi Wang |
| 2022 | DAC | 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, Zhenman Fang, Yanzhi Wang |
| 2022 | DAC | 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 |
| 2022 | DAC | 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, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang |
| 2022 | ECCV | SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. | 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 | EMNLP | Extracting Trigger-sharing Events via an Event Matrix. | Jun Xu, Weidi Xu, Mengshu Sun, Taifeng Wang, Wei Chu |
| 2022 | FCCM | Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression. | Mengshu Sun, Sheng Lin, Shan Liu, Songnan Li, Yanzhi Wang, Wei Jiang, Wei Wang |
| 2022 | FPGA | 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, Zhenman Fang |
| 2022 | FPL | 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, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang |
| 2021 | AAAI | RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. | Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren |
| 2021 | ASPDAC | Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. | Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang |
| 2021 | DATE | Towards AQFP-Capable Physical Design Automation. | Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin |
| 2021 | HPCA | 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 |
| 2021 | ICCV | 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, Yanzhi Wang, Xue Lin |
| 2021 | RTAS | 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, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang |
| 2020 | DAC | 3D CNN Acceleration on FPGA using Hardware-Aware Pruning. | Mengshu Sun, Pu Zhao, Mehmet Gngr, Massoud Pedram, Miriam Leeser, Xue Lin |
| 2020 | ECCV | Adversarial T-Shirt! Evading Person Detectors in a Physical World. | Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin |
| 2020 | ICASSP | Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. | Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin |