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ORCIDDongsheng Li 0001
Dong-sheng Li 0001 – Dong Sheng Li 0001
Person information
- affiliation: National University of Defense Technology, College of Computer, Changsha, China
Other persons with the same name
- Dongsheng Li (aka: DongSheng Li, Dong-sheng Li, Dong Sheng Li) — disambiguation page
- Dongsheng Li 0002
![[0000-0003-3103-8442]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3103-8442")
— Microsoft Research Asia, Shanghai, China (and 2 more) - Dongsheng Li 0003 — Auburn University, Auburn, AL, USA
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2020 – today
- 2024
[j83]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): 20:1-20:37 (2024)- 2023
- [j82]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: 1-18 (2023) - [j81]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: 119652 (2023) - [j80]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): 941-963 (2023) - [j79]Tao Sun, Dongsheng Li, Bao Wang:
Decentralized Federated Averaging. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4289-4301 (2023) - [j78]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): 1238-1251 (2023) - [j77]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): 3473-3488 (2023) - [j76]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): 3952-3965 (2023) - [j75]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): 23:1-23:33 (2023) - [j74]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): 1466-1478 (2023) - [j73]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): 2377-2390 (2023) - [j72]Dongxiang Zhang, Zhihao Chang, Dingyu Yang, Dongsheng Li, Kian-Lee Tan, Ke Chen, Gang Chen:
SQUID: subtrajectory query in trillion-scale GPS database. VLDB J. 32(4): 887-904 (2023) - [c152]Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li:
Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD. AAAI 2023: 7340-7348 - [c151]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: 417-430 - [c150]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: 1650-1668 - [c149]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: 8377-8398 - [c148]Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dongsheng Li, Benjamin Busam, Slobodan Ilic:
Rotation-Invariant Transformer for Point Cloud Matching. CVPR 2023: 5384-5393 - [c147]Ziqing Wen, Xiaoge Deng, Tao Sun, Dongsheng Li:
Normalized Stochastic Heavy Ball with Adaptive Momentum. ECAI 2023: 2615-2622 - [c146]Hongyu Chen, Zhejiang Ran, Keshi Ge, Zhiquan Lai, Jingfei Jiang, Dongsheng Li:
Auto-Divide GNN: Accelerating GNN Training with Subgraph Division. Euro-Par 2023: 367-382 - [c145]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: 1-5 - [c144]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: 1-5 - [c143]Liwen Peng, Songlei Jian, Dongsheng Li, Siqi Shen:
MRML: Multimodal Rumor Detection by Deep Metric Learning. ICASSP 2023: 1-5 - [c142]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: 1-5 - [c141]Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Xin Niu, Dongsheng Li:
MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets. ICIP 2023: 3379-3383 - [c140]Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang:
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions. ICML 2023: 33077-33099 - [c139]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: 5159-5169 - [c138]Quntian Fang, Zhen Huang, Ziwen Zhang, Minghao Hu, Biao Hu, Ankun Wang, Dong Sheng Li:
Multi-level Contrastive Learning for Commonsense Question Answering. KSEM (4) 2023: 318-331 - [c137]Peijie Dong, Xin Niu, Zimian Wei, Hengyue Pan, Dongsheng Li, Zhen Huang:
AutoRF: Auto Learning Receptive Fields with Spatial Pooling. MMM (2) 2023: 683-694 - [i53]Peng Liang, Hao Zheng, Teng Su, Linbo Qiao, Dongsheng Li:
TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks. CoRR abs/2301.04285 (2023) - [i52]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. CoRR abs/2301.09850 (2023) - [i51]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. CoRR abs/2301.10038 (2023) - [i50]Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dong Sheng Li, Benjamin Busam, Slobodan Ilic:
Rotation-Invariant Transformer for Point Cloud Matching. CoRR abs/2303.08231 (2023) - [i49]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 abs/2305.13547 (2023) - [i48]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 abs/2305.16121 (2023) - [i47]Lei Guan, Dongsheng Li, Jian Meng, Yanqi Shi:
XGrad: Boosting Gradient-Based Optimizers With Weight Prediction. CoRR abs/2305.18240 (2023) - [i46]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 abs/2306.08223 (2023) - [i45]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 abs/2308.02746 (2023) - [i44]Menglong Lu, Zhen Huang, Yunxiang Zhao, Zhiliang Tian, Yang Liu, Dongsheng Li:
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation. CoRR abs/2308.02753 (2023) - [i43]Xiaoge Deng, Li Shen, Shengwei Li, Tao Sun, Dongsheng Li, Dacheng Tao:
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent. CoRR abs/2308.09430 (2023) - [i42]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 abs/2310.05388 (2023) - [i41]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 abs/2310.14616 (2023) - 2022
- [j71]Sen Yang, Dawei Feng, Yang Liu, Dongsheng Li:
Distant context aware text generation from abstract meaning representation. Appl. Intell. 52(2): 1672-1685 (2022) - [j70]Keshi Ge, Zhejiang Ran, Zhiquan Lai, Lizhi Zhang, Dongsheng Li:
BRGraph: An efficient graph neural network training system by reusing batch data on GPU. Concurr. Comput. Pract. Exp. 34(15) (2022) - [j69]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: 117113 (2022) - [j68]Tao Sun, Dongsheng Li:
Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization. Neural Networks 149: 195-203 (2022) - [j67]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): 3249-3261 (2022) - [j66]Tao Sun, Han Shen, Tianyi Chen, Dongsheng Li:
Adaptive Temporal Difference Learning With Linear Function Approximation. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8812-8824 (2022) - [j65]Tao Sun, Dongsheng Li:
General nonconvex total variation and low-rank regularizations: Model, algorithm and applications. Pattern Recognit. 130: 108692 (2022) - [j64]Sen Yang, Yang Liu, Dawei Feng, Dongsheng Li:
Text Generation From Data With Dynamic Planning. IEEE ACM Trans. Audio Speech Lang. Process. 30: 26-34 (2022) - [j63]Menglong Lu, Zhen Huang, Binyang Li, Yunxiang Zhao, Zheng Qin, Dong Sheng Li:
SIFTER: A Framework for Robust Rumor Detection. IEEE ACM Trans. Audio Speech Lang. Process. 30: 429-442 (2022) - [j62]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): 3032-3046 (2022) - [j61]Tao Sun, Ke Tang, Dongsheng Li:
Gradient Descent Learning With Floats. IEEE Trans. Cybern. 52(3): 1763-1771 (2022) - [j60]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): 83:1-83:22 (2022) - [j59]Tao Sun, Dongsheng Li:
Capri: Consensus Accelerated Proximal Reweighted Iteration for A Class of Nonconvex Minimizations. IEEE Trans. Knowl. Data Eng. 34(3): 1066-1079 (2022) - [j58]Dongxiang Zhang, Dongsheng Li, Long Guo, Kian-Lee Tan:
Unsupervised Entity Resolution With Blocking and Graph Algorithms. IEEE Trans. Knowl. Data Eng. 34(3): 1501-1515 (2022) - [j57]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): 2860-2871 (2022) - [c136]Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu:
Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. CIKM 2022: 1299-1308 - [c135]Weijie Liu, Zhiquan Lai, Shengwei Li, Yabo Duan, Keshi Ge, Dongsheng Li:
AutoPipe: A Fast Pipeline Parallelism Approach with Balanced Partitioning and Micro-batch Slicing. CLUSTER 2022: 301-312 - [c134]Yabo Duan, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Peng Liang, Dongsheng Li:
HPH: Hybrid Parallelism on Heterogeneous Clusters for Accelerating Large-scale DNNs Training. CLUSTER 2022: 313-323 - [c133]Zhen Huang, Zhilong Lv, Xiaoyun Han, Binyang Li, Menglong Lu, Dongsheng Li:
Social Bot-Aware Graph Neural Network for Early Rumor Detection. COLING 2022: 6680-6690 - [c132]Zhiliang Tian, Zhihua Wen, Zhenghao Wu, Yiping Song, Jintao Tang, Dongsheng Li, Nevin L. Zhang:
Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation. DASFAA (3) 2022: 3-19 - [c131]Zhiliang Tian, Yinliang Wang, Yiping Song, Chi Zhang, Dongkyu Lee, Yingxiu Zhao, Dongsheng Li, Nevin L. Zhang:
Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory. EMNLP (Findings) 2022: 6364-6376 - [c130]Jiezhong He, Zhouyang Liu, Yixin Chen, Hengyue Pan, Zhen Huang, Dongsheng Li:
FAST: A Scalable Subgraph Matching Framework over Large Graphs. HPEC 2022: 1-7 - [c129]Zimian Wei, Hengyue Pan, Linbo Qiao, Xin Niu, Peijie Dong, Dongsheng Li:
Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection. ICASSP 2022: 4733-4737 - [c128]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: 5233-5237 - [c127]Tao Sun, Dongsheng Li, Bao Wang:
Adaptive Random Walk Gradient Descent for Decentralized Optimization. ICML 2022: 20790-20809 - [c126]Peng Qiao, Zhouyu He, Rongchun Li, Jingfei Jiang, Yong Dou, Dongsheng Li:
MLPs: Efficient Training of MiniGo on Large-scale Heterogeneous Computing System. ICPADS 2022: 475-482 - [c125]Shengwei Li, Zhiquan Lai, Dongsheng Li, Yiming Zhang, Xiangyu Ye, Yabo Duan:
EmbRace: Accelerating Sparse Communication for Distributed Training of Deep Neural Networks. ICPP 2022: 7:1-7:11 - [c124]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: 219-227 - [c123]Yifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li:
Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure. IJCAI 2022: 2044-2051 - [c122]Beiya Dai, Jiangang Qian, Shiqing Cheng, Linbo Qiao, Dongsheng Li:
Event Coreference Resolution based on Convolutional Siamese network and Circle Loss. IJCNN 2022: 1-7 - [c121]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: 106-113 - [c120]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: 128-139 - [c119]Zhenzhen Li, Yuyang Zhang, Jian-Yun Nie, Dongsheng Li:
Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text. NAACL-HLT (Findings) 2022: 454-464 - [c118]Tao Sun, Dongsheng Li, Bao Wang:
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks. NeurIPS 2022 - [c117]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: 63:1-63:14 - [c116]Yuqi He, Zhiquan Lai, Zhejiang Ran, Lizhi Zhang, Dongsheng Li:
Accelerating Sample-based GNN Training by Feature Caching on GPUs. SmartCloud 2022: 163-164 - [c115]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: 1433-1440 - [i40]Zimian Wei, Hengyue Pan, Xin Niu, Peijie Dong, Dongsheng Li:
UENAS: A Unified Evolution-based NAS Framework. CoRR abs/2203.04300 (2022) - [i39]Yu Tang, Chenyu Wang, Yufan Zhang, Yuliang Liu, Xingcheng Zhang, Linbo Qiao, Zhiquan Lai, Dongsheng Li:
DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation. CoRR abs/2203.15980 (2022) - [i38]Hengyue Pan, Yixin Chen, Xin Niu, Wenbo Zhou, Dongsheng Li:
Learning Convolutional Neural Networks in the Frequency Domain. CoRR abs/2204.06718 (2022) - [i37]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. CoRR abs/2206.04959 (2022) - [i36]Zimian Wei, Hengyue Pan, Xin Niu, Dongsheng Li:
ConvFormer: Closing the Gap Between CNN and Vision Transformers. CoRR abs/2209.07738 (2022) - [i35]Zhigang Kan, Linhui Feng, Zhangyue Yin, Linbo Qiao, Xipeng Qiu, Dongsheng Li:
A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks. CoRR abs/2209.11570 (2022) - [i34]Zimian Wei, Hengyue Pan, Xin Niu, Dongsheng Li:
OVO: One-shot Vision Transformer Search with Online distillation. CoRR abs/2212.13766 (2022) - 2021
- [j56]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) - [j55]Menghan Jia, Yiming Zhang, Dong-sheng Li:
QRDF: An efficient RDF graph processing system for fast query. Concurr. Comput. Pract. Exp. 33(24) (2021) - [j54]Lei Guan, Zhi-hui Yang, Dongsheng Li, Xicheng Lu:
pdlADMM: An ADMM-based framework for parallel deep learning training with efficiency. Neurocomputing 435: 264-272 (2021) - [j53]Yi Han, Linbo Qiao, Jianming Zheng, Hefeng Wu, Dongsheng Li, Xiangke Liao:
A survey of script learning. Frontiers Inf. Technol. Electron. Eng. 22(3): 341-373 (2021) - [j52]Yixin Chen, Dongsheng Li, Yu Hua, Wenbo He:
Effective and Efficient Content Redundancy Detection of Web Videos. IEEE Trans. Big Data 7(1): 187-198 (2021) - [j51]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): 2182-2197 (2021) - [j50]Tao Sun, Linbo Qiao, Qing Liao, Dong Sheng Li:
Novel Convergence Results of Adaptive Stochastic Gradient Descents. IEEE Trans. Image Process. 30: 1044-1056 (2021) - [j49]Tao Sun, Linbo Qiao, Dongsheng Li:
Nonergodic Complexity of Proximal Inertial Gradient Descents. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4613-4626 (2021) - [j48]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): 2188-2201 (2021) - [j47]Yiming Zhang, Dong Sheng Li, Chengfei Zhang, Jinyan Wang, Ling Liu:
GraphA: Efficient Partitioning and Storage for Distributed Graph Computation. IEEE Trans. Serv. Comput. 14(1): 155-166 (2021) - [c114]Tao Sun, Dongsheng Li, Bao Wang:
Stability and Generalization of Decentralized Stochastic Gradient Descent. AAAI 2021: 9756-9764 - [c113]Yi Han, Linbo Qiao, Jianming Zheng, Zhigang Kan, Linhui Feng, Yifu Gao, Yu Tang, Qi Zhai, Dongsheng Li, Xiangke Liao:
Multi-view Interaction Learning for Few-Shot Relation Classification. CIKM 2021: 649-658 - [c112]Lizhi Zhang, Zhiquan Lai, Shengwei Li, Yu Tang, Feng Liu, Dongsheng Li:
2PGraph: Accelerating GNN Training over Large Graphs on GPU Clusters. CLUSTER 2021: 103-113 - [c111]Keshi Ge, Yiming Zhang, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li:
CASQ: Accelerate Distributed Deep Learning with Sketch-Based Gradient Quantization. CLUSTER 2021: 825-826 - [c110]Sen Yang, Qingyu Zhou, Dawei Feng, Yang Liu, Chao Li, Yunbo Cao, Dongsheng Li:
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation. EMNLP (Findings) 2021: 1053-1066 - [c109]Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li:
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. ICASSP 2021: 3895-3899 - [c108]Xiangyu Ye, Zhiquan Lai, Dongsheng Li:
Prediction of the Cyanobacteria Coverage in Time-series Images based on Convolutional Neural Network. ICCCV 2021: 153-158 - [c107]Yuetong Yang, Zhiquan Lai, Lei Cai, Dongsheng Li:
HMA: An Efficient Training Method for NLP Models. ICIAI 2021: 20-25 - [c106]Xiangyu Ye, Zhiquan Lai, Shengwei Li, Lei Cai, Ding Sun, Linbo Qiao, Dongsheng Li:
Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training. ICPP 2021: 71:1-71:10 - [c105]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: 1-7 - [c104]Zhejiang Ran, Zhiquan Lai, Lizhi Zhang, Dongsheng Li:
Accelerate Graph Neural Network Training by Reusing Batch Data on GPUs. IPCCC 2021: 1-8 - [c103]