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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, Dong Sheng Li) — disambiguation page
- Dongsheng Li 0002
![[0000-0003-3103-8442]](https://dblp.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
[j91]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)- [j90]Liwen Peng, Songlei Jian, Zhigang Kan, Linbo Qiao, Dong Sheng Li:
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection. Inf. Process. Manag. 61(1): 103564 (2024) - [j89]Lei Guan, Dongsheng Li, Yanqi Shi, Jian Meng:
XGrad: Boosting Gradient-Based Optimizers With Weight Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6731-6747 (2024) - [j88]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): 10 (2024) - [j87]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): 577-591 (2024) - [j86]Shengwei Li, Kai Lu, Zhiquan Lai, Weijie Liu, Keshi Ge, Dong Sheng Li:
A Multidimensional Communication Scheduling Method for Hybrid Parallel DNN Training. IEEE Trans. Parallel Distributed Syst. 35(8): 1415-1428 (2024) - [c169]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: 15814-15822 - [c168]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: 6719-6734 - [c167]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: 9976-9992 - [c166]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: 5644-5653 - [c165]Baoyun Peng, Min Liu, Zhaoning Zhang, Kai Xu, Dongsheng Li:
Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment. CVM (2) 2024: 48-69 - [c164]Hao Zheng, Peng Liang, Yu Tang, Yanqi Shi, Linbo Qiao, Dongsheng Li:
3D Parallelism for Transformers via Integer Programming. ICASSP 2024: 6440-6444 - [c163]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: 5683-5684 - [c162]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: 135-151 - [c161]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: 3964-3975 - [i66]Shilong Pan, Zhiliang Tian, Liang Ding, Zhen Huang, Zhihua Wen, Dongsheng Li:
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. CoRR abs/2401.05596 (2024) - [i65]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 abs/2401.15949 (2024) - [i64]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 abs/2402.16515 (2024) - [i63]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. CoRR abs/2402.16568 (2024) - [i62]Ping Luo, Xiaoge Deng, Ziqing Wen, Tao Sun, Dongsheng Li:
Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients. CoRR abs/2403.16557 (2024) - [i61]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 abs/2403.17532 (2024) - [i60]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 abs/2404.02532 (2024) - [i59]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 abs/2404.13579 (2024) - [i58]Ziqing Wen, Xiaoge Deng, Ping Luo, Tao Sun, Dongsheng Li:
Score-based Generative Models with Adaptive Momentum. CoRR abs/2405.13726 (2024) - [i57]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 abs/2405.14383 (2024) - [i56]Ao Shen, Qiang Wang, Zhiquan Lai, Xionglve Li, Dong-sheng Li:
Accurate and Efficient Fine-Tuning of Quantized Large Language Models Through Optimal Balance. CoRR abs/2407.17029 (2024) - [i55]Ping Luo, Xiaoge Deng, Ziqing Wen, Tao Sun, Dongsheng Li:
Federated Prediction-Powered Inference from Decentralized Data. CoRR abs/2409.01730 (2024) - 2023
- [j85]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) - [j84]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) - [j83]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) - [j82]Tao Sun, Dongsheng Li, Bao Wang:
Decentralized Federated Averaging. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4289-4301 (2023) - [j81]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) - [j80]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) - [j79]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) - [j78]Tao Sun, Qingsong Wang, Yunwen Lei, Dongsheng Li, Bao Wang:
Pairwise Learning with Adaptive Online Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [c160]Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li:
Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD. AAAI 2023: 7340-7348 - [c159]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 - [c158]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 - [c157]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 - [c156]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: 82-94 - [c155]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 - [c154]Ziqing Wen, Xiaoge Deng, Tao Sun, Dongsheng Li:
Normalized Stochastic Heavy Ball with Adaptive Momentum. ECAI 2023: 2615-2622 - [c153]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: 3980-3998 - [c152]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: 8964-8974 - [c151]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 - [c150]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: 726-727 - [c149]Zhiquan Lai, Yanqi Hao, Shengwei Li, Dongsheng Li:
Communication Analysis for Multidimensional Parallel Training of Large-scale DNN Models. HPCC/DSS/SmartCity/DependSys 2023: 728-729 - [c148]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: 730-731 - [c147]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 - [c146]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 - [c145]Liwen Peng, Songlei Jian, Dongsheng Li, Siqi Shen:
MRML: Multimodal Rumor Detection by Deep Metric Learning. ICASSP 2023: 1-5 - [c144]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 - [c143]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 - [c142]Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang:
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions. ICML 2023: 33077-33099 - [c141]Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Wei Luo, Dong Yang, Xicheng Lu:
A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction. IJCAI 2023: 2332-2342 - [c140]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 - [c139]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 - [c138]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 - [c137]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: 41:1-41:6 - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]Lei Guan, Dongsheng Li, Jian Meng, Yanqi Shi:
XGrad: Boosting Gradient-Based Optimizers With Weight Prediction. CoRR abs/2305.18240 (2023) - [i47]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) - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]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) - [i41]Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Zhiliang Tian, Xin Niu, Dongsheng Li:
TVT: Training-Free Vision Transformer Search on Tiny Datasets. CoRR abs/2311.14337 (2023) - [i40]Zimian Wei, Lujun Li, Peijie Dong, Zheng Hui, Anggeng Li, Menglong Lu, Hengyue Pan, Zhiliang Tian, Dongsheng Li:
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. CoRR abs/2312.09059 (2023) - 2022
- [j73]Sen Yang, Dawei Feng, Yang Liu, Dongsheng Li:
Distant context aware text generation from abstract meaning representation. Appl. Intell. 52(2): 1672-1685 (2022) - [j72]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) - [j71]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) - [j70]Tao Sun, Dongsheng Li:
Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization. Neural Networks 149: 195-203 (2022) - [j69]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) - [j68]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) - [j67]Tao Sun, Dongsheng Li:
General nonconvex total variation and low-rank regularizations: Model, algorithm and applications. Pattern Recognit. 130: 108692 (2022) - [j66]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) - [j65]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) - [j64]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) - [j63]Tao Sun, Ke Tang, Dongsheng Li:
Gradient Descent Learning With Floats. IEEE Trans. Cybern. 52(3): 1763-1771 (2022) - [j62]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) - [j61]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) - [j60]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) - [j59]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]