Dongsheng Li

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 200

Top Venues

Publications

Shilong Pan, Zhiliang Tian, Liang Ding, Haoqi Zheng, Zhen Huang, Zhihua Wen, Dongsheng Li
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. ACL (1) (2024)
Zhigang Kan, Liwen Peng, Linbo Qiao, Dongsheng Li
Emancipating Event Extraction from the Constraints of Long-Tailed Distribution Data Utilizing Large Language Models. LREC/COLING (2024)
Yifu Gao, Linbo Qiao, Zhigang Kan, Zhihua Wen, Yongquan He, Dongsheng Li
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. ACL (Findings) (2024)
Baoyun Peng, Min Liu, Zhaoning Zhang, Kai Xu, Dongsheng Li
Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment. CVM (2) (2024)
Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract). ICDE (2024)
Hengyue Pan, Yixin Chen, Zhiliang Tian, Peng Qiao, Linbo Qiao, Dongsheng Li
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features. CoRR (2024)
Zhigang Kan, Liwen Peng, Yifu Gao, Ning Liu, Linbo Qiao, Dongsheng Li
LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction. WWW (2024)
Qianqiao Xu, Zhiliang Tian, Hongyan Wu, Zhen Huang, Yiping Song, Feng Liu, Dongsheng Li
Learn to Disguise: Avoid Refusal Responses in LLM's Defense via a Multi-agent Attacker-Disguiser Game. CoRR (2024)
Dongsheng Li, Shengwei Li, Zhiquan Lai, Yongquan Fu, Xiangyu Ye, Lei Cai, Linbo Qiao
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training. IEEE Trans. Parallel Distributed Syst. 35 (4) (2024)
Yiping Song, Juhua Zhang, Zhiliang Tian, Yuxin Yang, Minlie Huang, Dongsheng Li
LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification. CoRR (2024)
Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Dong Yang, Xicheng Lu
KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion. CoRR (2024)
Zimian Wei, Peijie Dong, Zheng Hui, Anggeng Li, Lujun Li, Menglong Lu, Hengyue Pan, Dongsheng Li
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. AAAI (2024)
Xiaoran Zhao, Tianhao Wu, Yu Lai, Zhiliang Tian, Zhen Huang, Yahui Liu, Zejiang He, Dongsheng Li
LTOS: Layout-controllable Text-Object Synthesis via Adaptive Cross-attention Fusions. CoRR (2024)
Ping Luo, Xiaoge Deng, Ziqing Wen, Tao Sun, Dongsheng Li
Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients. CoRR (2024)
Ziqing Wen, Xiaoge Deng, Ping Luo, Tao Sun, Dongsheng Li
Score-based Generative Models with Adaptive Momentum. CoRR (2024)
Hao Zheng, Peng Liang, Yu Tang, Yanqi Shi, Linbo Qiao, Dongsheng Li
3D Parallelism for Transformers via Integer Programming. ICASSP (2024)
Zhihua Wen, Zhiliang Tian, Zexin Jian, Zhen Huang, Pei Ke, Yifu Gao, Minlie Huang, Dongsheng Li
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering. CoRR (2024)
Zhilong Lv, Zhen Huang, Menglong Lu, Yuxin Yang, Zhiliang Tian, Xin Niu, Dongsheng Li
Meta Learning Based Rumor Detection with Awareness of Social Bot. KSEM (3) (2024)
Ziyang Li, Dongsheng Li, Yingwen Chen, Kai Chen, Yiming Zhang
Decentralized Scheduling for Data-Parallel Tasks in the Cloud. ACM Trans. Parallel Comput. 11 (2) (2024)
Rui Xu, Sheng Ma, Yang Guo, Dongsheng Li
A Survey of Design and Optimization for Systolic Array-based DNN Accelerators. ACM Comput. Surv. 56 (1) (2024)
Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies. ICASSP (2023)
Ziqing Wen, Xiaoge Deng, Tao Sun, Dongsheng Li
Normalized Stochastic Heavy Ball with Adaptive Momentum. ECAI (2023)
Lei Guan, Dongsheng Li, Jian Meng, Yanqi Shi
XGrad: Boosting Gradient-Based Optimizers With Weight Prediction. CoRR (2023)
Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li
Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models. IEEE Trans. Parallel Distributed Syst. 34 (5) (2023)
Wei Wang, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Yujie Liu, Ao Shen, Dongsheng Li
Prophet: Fine-grained Load Balancing for Parallel Training of Large-scale MoE Models. CLUSTER (2023)
Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. EMNLP (2023)
Keshi Ge, Kai Lu, Yongquan Fu, Xiaoge Deng, Zhiquan Lai, Dongsheng Li
Compressed Collective Sparse-Sketch for Distributed Data-Parallel Training of Deep Learning Models. IEEE J. Sel. Areas Commun. 41 (4) (2023)
Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions. ICML (2023)
Zimian Wei, Hengyue Pan, Lujun Li, Menglong Lu, Xin Niu, Peijie Dong, Dongsheng Li
DMFormer: Closing the gap Between CNN and Vision Transformers. ICASSP (2023)
Zhigang Kan, Linhui Feng, Zhangyue Yin, Linbo Qiao, Xipeng Qiu, Dongsheng Li
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks. IEEE Trans. Big Data 9 (4) (2023)
Lizhi Zhang, Kai Lu, Zhiquan Lai, Yongquan Fu, Yu Tang, Dongsheng Li
Accelerating GNN Training by Adapting Large Graphs to Distributed Heterogeneous Architectures. IEEE Trans. Computers 72 (12) (2023)
Zhiquan Lai, Yanqi Hao, Shengwei Li, Dongsheng Li
Communication Analysis for Multidimensional Parallel Training of Large-scale DNN Models. HPCC/DSS/SmartCity/DependSys (2023)
Hongyu Chen, Zhejiang Ran, Keshi Ge, Zhiquan Lai, Jingfei Jiang, Dongsheng Li
Auto-Divide GNN: Accelerating GNN Training with Subgraph Division. Euro-Par (2023)
Zhigang Kan, Yanqi Shi, Zhangyue Yin, Liwen Peng, Linbo Qiao, Xipeng Qiu, Dongsheng Li
An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios. Inf. Sci. 649 (2023)
Yifu Gao, Yongquan He, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li
Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion. ACL (Findings) (2023)
Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Dongsheng Li, Dacheng Tao
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. CoRR (2023)
Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
Progressive Meta-Pooling Learning for Lightweight Image Classification Model. ICASSP (2023)
Peijie Dong, Xin Niu, Zimian Wei, Hengyue Pan, Dongsheng Li, Zhen Huang
AutoRF: Auto Learning Receptive Fields with Spatial Pooling. MMM (2) (2023)
Yilin Wang, Zhen Huang, Minghao Hu, Dongsheng Li, Xicheng Lu, Wei Luo, Dong Yang
Structure Enhanced Path Reasoning for Knowledge Graph Completion. Int. J. Intell. Syst. 2023 (2023)
Tao Sun, Dongsheng Li, Bao Wang
Decentralized Federated Averaging. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Tao Sun, Congliang Chen, Peng Qiao, Li Shen, Xinwang Liu, Dongsheng Li
Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz. CoRR (2023)
Menglong Lu, Zhen Huang, Yunxiang Zhao, Zhiliang Tian, Yang Liu, Dongsheng Li
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation. ACL (1) (2023)
Zhigang Kan, Linbo Qiao, Hao Yu, Liwen Peng, Yifu Gao, Dongsheng Li
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization. CoRR (2023)
Peng Liang, Yu Tang, Xiaoda Zhang, Youhui Bai, Teng Su, Zhiquan Lai, Linbo Qiao, Dongsheng Li
A Survey on Auto-Parallelism of Large-Scale Deep Learning Training. IEEE Trans. Parallel Distributed Syst. 34 (8) (2023)
Tao Sun, Qingsong Wang, Yunwen Lei, Dongsheng Li, Bao Wang
Pairwise Learning with Adaptive Online Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023)
Jiaxin Li, Yiming Zhang, Shan Lu, Haryadi S. Gunawi, Xiaohui Gu, Feng Huang, Dongsheng Li
Performance Bug Analysis and Detection for Distributed Storage and Computing Systems. ACM Trans. Storage 19 (3) (2023)
Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dongsheng Li, Benjamin Busam, Slobodan Ilic
Rotation-Invariant Transformer for Point Cloud Matching. CVPR (2023)
Menglong Lu, Zhen Huang, Yunxiang Zhao, Zhiliang Tian, Yang Liu, Dongsheng Li
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation. CoRR (2023)
Shengwei Li, Zhiquan Lai, Yanqi Hao, Weijie Liu, Keshi Ge, Xiaoge Deng, Dongsheng Li, Kai Lu
Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training. CoRR (2023)
Zhiquan Lai, Yujie Liu, Wei Wang, Yanqi Hao, Dongsheng Li
Rethinking the Distributed DNN Training Cluster Design from the Cost-effectiveness View. HPCC/DSS/SmartCity/DependSys (2023)
Yujie Liu, Zhiquan Lai, Weijie Liu, Wei Wang, Dongsheng Li
Efficient Large Models Fine-tuning on Commodity Servers via Memory-balanced Pipeline Parallelism. HPCC/DSS/SmartCity/DependSys (2023)
Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu
Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Zhihua Wen, Zhiliang Tian, Wei Wu, Yuxin Yang, Yanqi Shi, Zhen Huang, Dongsheng Li
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence. CoRR (2023)
Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification. IJCAI (2023)
Xiaoge Deng, Li Shen, Shengwei Li, Tao Sun, Dongsheng Li, Dacheng Tao
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent. CoRR (2023)
Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
Similarity Distribution Based Membership Inference Attack on Person Re-identification. AAAI (2023)
Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Xin Niu, Dongsheng Li
MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets. ICIP (2023)
Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li
Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD. AAAI (2023)
Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification. CoRR (2023)
Liwen Peng, Songlei Jian, Dongsheng Li, Siqi Shen
MRML: Multimodal Rumor Detection by Deep Metric Learning. ICASSP (2023)
Yuanyuan Xiao, Zhiquan Lai, Dongsheng Li
CD-Sched: An Automated Scheduling Framework for Accelerating Neural Network Training on Shared Memory CPU-DSP Platforms. PCCNT (2023)
Zhihua Wen, Zhiliang Tian, Wei Wu, Yuxin Yang, Yanqi Shi, Zhen Huang, Dongsheng Li
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence. EMNLP (Findings) (2023)
Zhihua Wen, Zhiliang Tian, Zhen Huang, Yuxin Yang, Zexin Jian, Changjian Wang, Dongsheng Li
GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation. ACL (Findings) (2023)
Tao Sun, Dongsheng Li, Bao Wang
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks. NeurIPS (2022)
Yiming Zhang, Lujia Yin, Dongsheng Li, Yuxing Peng, Kai Lu
ParaX : Bandwidth-Efficient Instance Assignment for DL on Multi-NUMA Many-Core CPUs. IEEE Trans. Computers 71 (11) (2022)
Zhenzhen Li, Jian-Yun Nie, Yiping Song, Pan Du, Dongsheng Li
Learning to classify relations between entities from noisy data - A meta instance reweighting approach. Expert Syst. Appl. 202 (2022)
Rui Xu, Sheng Ma, Yaohua Wang, Yang Guo, Dongsheng Li, Yuran Qiao
Heterogeneous Systolic Array Architecture for Compact CNNs Hardware Accelerators. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Yilin Wang, Zhen Huang, Minghao Hu, Dongsheng Li, Wei Luo, Dong Yang
Relational Context Enhanced Dual Path Reasoning for Fact Prediction in Knowledge Graph. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Zhen Huang, Zhilong Lv, Xiaoyun Han, Binyang Li, Menglong Lu, Dongsheng Li
Social Bot-Aware Graph Neural Network for Early Rumor Detection. COLING (2022)
Zimian Wei, Hengyue Pan, Xin Niu, Peijie Dong, Dongsheng Li
UENAS: A Unified Evolution-based NAS Framework. CoRR (2022)
Tao Sun, Han Shen, Tianyi Chen, Dongsheng Li
Adaptive Temporal Difference Learning With Linear Function Approximation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Weirong Chen, Jiaqi Zheng, Haoyu Yu, Guihai Chen, Yixin Chen, Dongsheng Li
Online Learning Bipartite Matching with Non-stationary Distributions. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Tao Sun, Dongsheng Li
Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization. Neural Networks 149 (2022)
Tao Sun, Ke Tang, Dongsheng Li
Gradient Descent Learning With Floats. IEEE Trans. Cybern. 52 (3) (2022)
Yifan Chen, Zhan Huang, Minghao Hu, Dongsheng Li, Changjian Wang, Ankun Wang, Boyang Wang, Xicheng Lu
Similarity-Driven Adaptive Prototypical Network for Class-incremental Few-shot Named Entity Recognition. ICTAI (2022)
Menghan Jia, Yiming Zhang, Xinbiao Gan, Dongsheng Li, Erci Xu, Ruibo Wang, Kai Lu
vGraph: Memory-Efficient Multicore Graph Processing for Traversal-Centric Algorithms. SC (2022)
Hengyue Pan, Xin Niu, Siqi Shen, Yixin Chen, Peng Qiao, Zhen Huang, Dongsheng Li
Fixed-Size Objects Encoding for Visual Relationship Detection. Neural Process. Lett. 54 (4) (2022)
Ankun Wang, Feng Liu, Zhen Huang, Minghao Hu, Dongsheng Li, Yifan Chen, Xinjia Xie
Deep-to-Bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation. KSEM (2) (2022)
Yuqi He, Zhiquan Lai, Zhejiang Ran, Lizhi Zhang, Dongsheng Li
SCGraph: Accelerating Sample-based GNN Training by Staged Caching of Features on GPUs. ISPA/BDCloud/SocialCom/SustainCom (2022)
Keshi Ge, Yongquan Fu, Yiming Zhang, Zhiquan Lai, Xiaoge Deng, Dongsheng Li
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. ICASSP (2022)
Tao Sun, Dongsheng Li
Capri: Consensus Accelerated Proximal Reweighted Iteration for A Class of Nonconvex Minimizations. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Zimian Wei, Hengyue Pan, Linbo Qiao, Xin Niu, Peijie Dong, Dongsheng Li
Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection. ICASSP (2022)
Hengyue Pan, Yixin Chen, Xin Niu, Wenbo Zhou, Dongsheng Li
Learning Convolutional Neural Networks in the Frequency Domain. CoRR (2022)
Dongxiang Zhang, Dongsheng Li, Long Guo, Kian-Lee Tan
Unsupervised Entity Resolution With Blocking and Graph Algorithms. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Sen Yang, Yang Liu, Dawei Feng, Dongsheng Li
Text Generation From Data With Dynamic Planning. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Yixin Chen, Dongsheng Li, Yu Hua, Wenbo He
Effective and Efficient Content Redundancy Detection of Web Videos. IEEE Trans. Big Data 7 (1) (2021)
Lei Guan, Zhi-hui Yang, Dongsheng Li, Xicheng Lu
pdlADMM: An ADMM-based framework for parallel deep learning training with efficiency. Neurocomputing 435 (2021)
Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. CoRR (2021)
Xiaoyun Han, Zhen Huang, Menglong Lu, Dongsheng Li, Jinyan Qiu
Rumor Verification on Social Media with Stance-Aware Recursive Tree. KSEM (2021)
Yunsheng Pang, Yunxiang Zhao, Dongsheng Li
Graph Pooling via Coarsened Graph Infomax. CoRR (2021)
Yang Liu, Shiyi Xu, Zhen Huang, Changjian Wang, Dongsheng Li, Feng Liu, Jinyan Qiu
A Neural Ranker for Open-Domain Question Answering via Sentence-Level Jump Encoding. IJCNN (2021)
Yunsheng Pang, Yunxiang Zhao, Dongsheng Li
Graph Pooling via Coarsened Graph Infomax. SIGIR (2021)
Keshi Ge, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. CoRR (2021)
Zhiyao Hu, Dongsheng Li, Dongxiang Zhang, Yiming Zhang, Baoyun Peng
Optimizing Resource Allocation for Data-Parallel Jobs Via GCN-Based Prediction. IEEE Trans. Parallel Distributed Syst. 32 (9) (2021)
Yi Han, Linbo Qiao, Jianming Zheng, Hefeng Wu, Dongsheng Li, Xiangke Liao
A survey of script learning. Frontiers Inf. Technol. Electron. Eng. 22 (3) (2021)
Baoyun Peng, Min Liu, Heng Yang, Zhaoning Zhang, Dongsheng Li
Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment. CoRR (2021)
Dongsheng Li, Zhiyao Hu, Zhiquan Lai, Yiming Zhang, Kai Lu
Coordinative Scheduling of Computation and Communication in Data-Parallel Systems. IEEE Trans. Computers 70 (12) (2021)
Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. ICASSP (2021)
Lujia Yin, Yiming Zhang, Yuxing Peng, Dongsheng Li
Elastic scheduler: Heterogeneous and dynamic deep Learning in the cloud. Concurr. Comput. Pract. Exp. 33 (13) (2021)
Qi Zhai, Zhigang Kan, Sen Yang, Linbo Qiao, Feng Liu, Dongsheng Li
CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network. PAKDD (2) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dongsheng Li