Dongsheng Li

Orcid: 0000-0001-9743-2034

Affiliations:
  • National University of Defense Technology, College of Computer, Changsha, China


According to our database1, Dongsheng Li authored at least 276 papers between 2003 and 2024.

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Bibliography

2024
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training.
IEEE Trans. Parallel Distributed Syst., April, 2024

Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection.
Inf. Process. Manag., January, 2024

A Survey of Design and Optimization for Systolic Array-based DNN Accelerators.
ACM Comput. Surv., January, 2024

KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion.
CoRR, 2024

Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients.
CoRR, 2024

TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features.
CoRR, 2024

Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment.
Proceedings of the Computational Visual Media - 12th International Conference, 2024

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Accelerating GNN Training by Adapting Large Graphs to Distributed Heterogeneous Architectures.
IEEE Trans. Computers, December, 2023

An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios.
Inf. Sci., November, 2023

A Survey on Auto-Parallelism of Large-Scale Deep Learning Training.
IEEE Trans. Parallel Distributed Syst., August, 2023

Performance Bug Analysis and Detection for Distributed Storage and Computing Systems.
ACM Trans. Storage, August, 2023

A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks.
IEEE Trans. Big Data, August, 2023

SQUID: subtrajectory query in trillion-scale GPS database.
VLDB J., July, 2023

Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models.
IEEE Trans. Parallel Distributed Syst., May, 2023

Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning.
IEEE Trans. Knowl. Data Eng., April, 2023

Decentralized Federated Averaging.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Compressed Collective Sparse-Sketch for Distributed Data-Parallel Training of Deep Learning Models.
IEEE J. Sel. Areas Commun., April, 2023

Structure Enhanced Path Reasoning for Knowledge Graph Completion.
Int. J. Intell. Syst., 2023

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.
CoRR, 2023

TVT: Training-Free Vision Transformer Search on Tiny Datasets.
CoRR, 2023

Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz.
CoRR, 2023

Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent.
CoRR, 2023

Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization.
CoRR, 2023

XGrad: Boosting Gradient-Based Optimizers With Weight Prediction.
CoRR, 2023

Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training.
CoRR, 2023

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.
CoRR, 2023

TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks.
CoRR, 2023

CD-Sched: An Automated Scheduling Framework for Accelerating Neural Network Training on Shared Memory CPU-DSP Platforms.
Proceedings of the 2023 International Conference on Power, 2023

AutoRF: Auto Learning Receptive Fields with Spatial Pooling.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Multi-level Contrastive Learning for Commonsense Question Answering.
Proceedings of the Knowledge Science, Engineering and Management, 2023

A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions.
Proceedings of the International Conference on Machine Learning, 2023

MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets.
Proceedings of the IEEE International Conference on Image Processing, 2023

DMFormer: Closing the gap Between CNN and Vision Transformers.
Proceedings of the IEEE International Conference on Acoustics, 2023

MRML: Multimodal Rumor Detection by Deep Metric Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Meta-Pooling Learning for Lightweight Image Classification Model.
Proceedings of the IEEE International Conference on Acoustics, 2023

RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies.
Proceedings of the IEEE International Conference on Acoustics, 2023

Efficient Large Models Fine-tuning on Commodity Servers via Memory-balanced Pipeline Parallelism.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Rethinking the Distributed DNN Training Cluster Design from the Cost-effectiveness View.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Communication Analysis for Multidimensional Parallel Training of Large-scale DNN Models.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Auto-Divide GNN: Accelerating GNN Training with Subgraph Division.
Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Normalized Stochastic Heavy Ball with Adaptive Momentum.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Rotation-Invariant Transformer for Point Cloud Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Prophet: Fine-grained Load Balancing for Parallel Training of Large-scale MoE Models.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Heterogeneous Systolic Array Architecture for Compact CNNs Hardware Accelerators.
IEEE Trans. Parallel Distributed Syst., 2022

Unsupervised Entity Resolution With Blocking and Graph Algorithms.
IEEE Trans. Knowl. Data Eng., 2022

Capri: Consensus Accelerated Proximal Reweighted Iteration for A Class of Nonconvex Minimizations.
IEEE Trans. Knowl. Data Eng., 2022

Online Learning Bipartite Matching with Non-stationary Distributions.
ACM Trans. Knowl. Discov. Data, 2022

Gradient Descent Learning With Floats.
IEEE Trans. Cybern., 2022

ParaX : Bandwidth-Efficient Instance Assignment for DL on Multi-NUMA Many-Core CPUs.
IEEE Trans. Computers, 2022

Text Generation From Data With Dynamic Planning.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

SIFTER: A Framework for Robust Rumor Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

General nonconvex total variation and low-rank regularizations: Model, algorithm and applications.
Pattern Recognit., 2022

Adaptive Temporal Difference Learning With Linear Function Approximation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Fixed-Size Objects Encoding for Visual Relationship Detection.
Neural Process. Lett., 2022

Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization.
Neural Networks, 2022

Learning to classify relations between entities from noisy data - A meta instance reweighting approach.
Expert Syst. Appl., 2022

A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks.
CoRR, 2022

ConvFormer: Closing the Gap Between CNN and Vision Transformers.
CoRR, 2022

Learning Convolutional Neural Networks in the Frequency Domain.
CoRR, 2022

DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation.
CoRR, 2022

UENAS: A Unified Evolution-based NAS Framework.
CoRR, 2022

BRGraph: An efficient graph neural network training system by reusing batch data on GPU.
Concurr. Comput. Pract. Exp., 2022

Distant context aware text generation from abstract meaning representation.
Appl. Intell., 2022

Relational Context Enhanced Dual Path Reasoning for Fact Prediction in Knowledge Graph.
Proceedings of the IEEE Smartworld, 2022

Accelerating Sample-based GNN Training by Feature Caching on GPUs.
Proceedings of the 7th IEEE International Conference on Smart Cloud, SmartCloud 2022, 2022

vGraph: Memory-Efficient Multicore Graph Processing for Traversal-Centric Algorithms.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Deep-to-Bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation.
Proceedings of the Knowledge Science, Engineering and Management, 2022

SCGraph: Accelerating Sample-based GNN Training by Staged Caching of Features on GPUs.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Event Coreference Resolution based on Convolutional Siamese network and Circle Loss.
Proceedings of the International Joint Conference on Neural Networks, 2022

Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Similarity-Driven Adaptive Prototypical Network for Class-incremental Few-shot Named Entity Recognition.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

EmbRace: Accelerating Sparse Communication for Distributed Training of Deep Neural Networks.
Proceedings of the 51st International Conference on Parallel Processing, 2022

MLPs: Efficient Training of MiniGo on Large-scale Heterogeneous Computing System.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Adaptive Random Walk Gradient Descent for Decentralized Optimization.
Proceedings of the International Conference on Machine Learning, 2022

Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

FAST: A Scalable Subgraph Matching Framework over Large Graphs.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation.
Proceedings of the Database Systems for Advanced Applications, 2022

Social Bot-Aware Graph Neural Network for Early Rumor Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

AutoPipe: A Fast Pipeline Parallelism Approach with Balanced Partitioning and Micro-batch Slicing.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

HPH: Hybrid Parallelism on Heterogeneous Clusters for Accelerating Large-scale DNNs Training.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
GraphA: Efficient Partitioning and Storage for Distributed Graph Computation.
IEEE Trans. Serv. Comput., 2021

Optimizing Resource Allocation for Data-Parallel Jobs Via GCN-Based Prediction.
IEEE Trans. Parallel Distributed Syst., 2021

Nonergodic Complexity of Proximal Inertial Gradient Descents.
IEEE Trans. Neural Networks Learn. Syst., 2021

Novel Convergence Results of Adaptive Stochastic Gradient Descents.
IEEE Trans. Image Process., 2021

Coordinative Scheduling of Computation and Communication in Data-Parallel Systems.
IEEE Trans. Computers, 2021

Effective and Efficient Content Redundancy Detection of Web Videos.
IEEE Trans. Big Data, 2021

A survey of script learning.
Frontiers Inf. Technol. Electron. Eng., 2021

pdlADMM: An ADMM-based framework for parallel deep learning training with efficiency.
Neurocomputing, 2021

SASG: Sparsification with Adaptive Stochastic Gradients for Communication-efficient Distributed Learning.
CoRR, 2021

EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks.
CoRR, 2021

Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization.
CoRR, 2021

S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning.
CoRR, 2021

Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment.
CoRR, 2021

Elastic scheduler: Heterogeneous and dynamic deep Learning in the cloud.
Concurr. Comput. Pract. Exp., 2021

QRDF: An efficient RDF graph processing system for fast query.
Concurr. Comput. Pract. Exp., 2021

Graph Pooling via Coarsened Graph Infomax.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Densely Connected Graph Attention Network Based on Iterative Path Reasoning for Document-Level Relation Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Improved Partitioning Graph Embedding Framework for Small Cluster.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Rumor Verification on Social Media with Stance-Aware Recursive Tree.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction.
Proceedings of the Knowledge Science, Engineering and Management, 2021

PCGraph: Accelerating GNN Inference on Large Graphs via Partition Caching.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Accelerate Graph Neural Network Training by Reusing Batch Data on GPUs.
Proceedings of the IEEE International Performance, 2021

A Neural Ranker for Open-Domain Question Answering via Sentence-Level Jump Encoding.
Proceedings of the International Joint Conference on Neural Networks, 2021

Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

HMA: An Efficient Training Method for NLP Models.
Proceedings of the ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021

Prediction of the Cyanobacteria Coverage in Time-series Images based on Convolutional Neural Network.
Proceedings of the ICCCV 2021: 4th International Conference on Control and Computer Vision, Macau, SAR, China, August 13, 2021

Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training.
Proceedings of the IEEE International Conference on Acoustics, 2021

Diversity and Consistency: Exploring Visual Question-Answer Pair Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2PGraph: Accelerating GNN Training over Large Graphs on GPU Clusters.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

CASQ: Accelerate Distributed Deep Learning with Sketch-Based Gradient Quantization.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

Multi-view Interaction Learning for Few-Shot Relation Classification.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Stability and Generalization of Decentralized Stochastic Gradient Descent.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
TopoX: Topology Refactorization for Minimizing Network Communication in Graph Computations.
IEEE/ACM Trans. Netw., 2020

Unmanned aerial vehicle swarm distributed cooperation method based on situation awareness consensus and its information processing mechanism.
Knowl. Based Syst., 2020

Deep reinforcement learning: a survey.
Frontiers Inf. Technol. Electron. Eng., 2020

Large-scale graph processing systems: a survey.
Frontiers Inf. Technol. Electron. Eng., 2020

Learning to select pseudo labels: a semi-supervised method for named entity recognition.
Frontiers Inf. Technol. Electron. Eng., 2020

An efficient parallel and distributed solution to nonconvex penalized linear SVMs.
Frontiers Inf. Technol. Electron. Eng., 2020

A novel target threat assessment method based on three-way decisions under intuitionistic fuzzy multi-attribute decision making environment.
Eng. Appl. Artif. Intell., 2020

A Nonconvex Implementation of Sparse Subspace Clustering: Algorithm and Convergence Analysis.
IEEE Access, 2020

ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

A BERT-Based Semantic Matching Ranker for Open-Domain Question Answering.
Proceedings of the NLPIR 2020: 4th International Conference on Natural Language Processing and Information Retrieval, 2020

Objectness Consistent Representation for Weakly Supervised Object Detection.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Tag Pollution Detection in Web Videos via Cross-Modal Relevance Estimation.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

Poster Abstract: Model Average-based Distributed Training for Sparse Deep Neural Networks.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

ReLoca: Optimize Resource Allocation for Data-parallel Jobs using Deep Learning.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Clustering-preserving Network Flow Sketching.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

DualGCN: Representation Learning for Property Graphs via Dual-level Convolutional Networks.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Attentional Fused Temporal Transformation Network for Video Action Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Reinforcement Learning-Based Virtual Machine Placement Strategy in Cloud Data Centers.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Optimizing FFT-Based Convolution on ARMv8 Multi-core CPUs.
Proceedings of the Euro-Par 2020: Parallel Processing, 2020

Rethinking Segmentation Guidance for Weakly Supervised Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Meta-Learning for Neural Relation Classification with Distant Supervision.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

BSE-MAML: Model Agnostic Meta-Reinforcement Learning via Bayesian Structured Exploration.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019
Cost-Efficient Consolidating Service for Aliyun's Cloud-Scale Computing.
IEEE Trans. Serv. Comput., 2019

Leveraging Glocality for Fast Failure Recovery in Distributed RAM Storage.
ACM Trans. Storage, 2019

A Skewness-Aware Matrix Factorization Approach for Mesh-Structured Cloud Services.
IEEE/ACM Trans. Netw., 2019

TopoX: Topology Refactorization for Efficient Graph Partitioning and Processing.
Proc. VLDB Endow., 2019

Mini-batch cutting plane method for regularized risk minimization.
Frontiers Inf. Technol. Electron. Eng., 2019

Exploring frame segmentation networks for temporal action localization.
J. Vis. Commun. Image Represent., 2019

Bregman reweighted alternating minimization and its application to image deblurring.
Inf. Sci., 2019

A consensus model for heterogeneous multi-attribute group decision making with several attribute sets.
Expert Syst. Appl., 2019

XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training.
CoRR, 2019

Decentralized Markov Chain Gradient Descent.
CoRR, 2019

Locality-Sensitive Sketching for Resilient Network Flow Monitoring.
CoRR, 2019

IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition.
CoRR, 2019

Consensus evaluation method of multi-ground-target threat for unmanned aerial vehicle swarm based on heterogeneous group decision making.
Comput. Electr. Eng., 2019

Understanding and Statically Detecting Synchronization Performance Bugs in Distributed Cloud Systems.
IEEE Access, 2019

Person Re-Identification Based on Multi-Parts of Local Feature Network.
IEEE Access, 2019

Diting: An Author Disambiguation Method Based on Network Representation Learning.
IEEE Access, 2019

A Large-Gap Clone Detection Approach Using Sequence Alignment via Dynamic Parameter Optimization.
IEEE Access, 2019

Resilient Disaggregated Network Flow Monitoring.
Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019

General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Correction to: A Distributed Topic Model for Large-Scale Streaming Text.
Proceedings of the Knowledge Science, Engineering and Management, 2019

A Distributed Topic Model for Large-Scale Streaming Text.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Branch scheduling: dag-aware scheduling for speeding up data-parallel jobs.
Proceedings of the International Symposium on Quality of Service, 2019

Author Disambiguation through Adversarial Network Representation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Heavy-ball Algorithms Always Escape Saddle Points.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

HPDL: Towards a General Framework for High-performance Distributed Deep Learning.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Geometry Guided Feature Aggregation in Video Face Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Towards Precise End-to-End Weakly Supervised Object Detection Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Correlation Congruence for Knowledge Distillation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Iteratively Reweighted Penalty Alternating Minimization Methods with Continuation for Image Deblurring.
Proceedings of the IEEE International Conference on Acoustics, 2019

Rise the Momentum: A Method for Reducing the Training Error on Multiple GPUs.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

URSA: Hybrid Block Storage for Cloud-Scale Virtual Disks.
Proceedings of the Fourteenth EuroSys Conference 2019, Dresden, Germany, March 25-28, 2019, 2019

A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Exploring Pre-trained Language Models for Event Extraction and Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Read + Verify: Machine Reading Comprehension with Unanswerable Questions.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
meGautz: A High Capacity, Fault-Tolerant and Traffic Isolated Modular Datacenter Network.
IEEE Trans. Serv. Comput., 2018

Every Timestamp Counts: Accurate Tracking of Network Latencies Using Reconcilable Difference Aggregator.
IEEE/ACM Trans. Netw., 2018

CSR: Classified Source Routing in Distributed Networks.
IEEE Trans. Cloud Comput., 2018

基于样本权重更新的不平衡数据集成学习方法 (Ensemble Learning Method for Imbalanced Data Based on Sample Weight Updating).
计算机科学, 2018

Predicting the implicit and the explicit video popularity in a User Generated Content site with enhanced social features.
Comput. Networks, 2018

UAV Swarm Cooperative Situation Perception Consensus Evaluation Method Based on Three-Parameter Interval Number and Heronian Mean Operator.
IEEE Access, 2018

KylinX: A Dynamic Library Operating System for Simplified and Efficient Cloud Virtualization.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Multitask Learning for Chinese Named Entity Recognition.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Frame Segmentation Networks for Temporal Action Localization.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

MFM: A Multi-level Fused Sequence Matching Model for Candidates Filtering in Multi-paragraphs Question-Answering.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Discriminative Clustering Network.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Quick Survey on Large Scale Distributed Deep Learning Systems.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Temporal Pyramid Relation Network for Video-Based Gesture Recognition.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Continuous Proximity Detection via Predictive Safe Region Construction.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

The Fusion of VMs and Processes: A System Perspective of cKernel.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

PruX: Communication Pruning of Parallel BFS in the Graph 500 Benchmark.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

An Empirical Study of Face Recognition under Variations.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Pcatch: automatically detecting performance cascading bugs in cloud systems.
Proceedings of the Thirteenth EuroSys Conference, 2018

Attention-Guided Answer Distillation for Machine Reading Comprehension.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Network-embedding Based Method for Author Disambiguation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

An Experimental Perspective for Computation-Efficient Neural Networks Training.
Proceedings of the Advanced Computer Architecture - 12th Conference, 2018

Exploring Temporal Preservation Networks for Precise Temporal Action Localization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
CubicRing: Exploiting Network Proximity for Distributed In-Memory Key-Value Store.
IEEE/ACM Trans. Netw., 2017

Efficient parallel implementation of a density peaks clustering algorithm on graphics processing unit.
Frontiers Inf. Technol. Electron. Eng., 2017

TPC: Temporal Preservation Convolutional Networks for Precise Temporal Action Localization.
CoRR, 2017

An Analysis on a YouTube-like UGC site with Enhanced Social Features.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

PARIX: Speculative Partial Writes in Erasure-Coded Systems.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017

CubeX: Leveraging glocality of cube-based networks for RAM-based key-value store.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Rate-aware flow scheduling for commodity data center networks.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

SES-LSH: Shuffle-Efficient Locality Sensitive Hashing for Distributed Similarity Search.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Fast Compressive Spectral Clustering.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

GraphA: Adaptive Partitioning for Natural Graphs.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

S-OHEM: Stratified Online Hard Example Mining for Object Detection.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
Pegasus: a distributed and load-balancing fingerprint identification system.
Frontiers Inf. Technol. Electron. Eng., 2016

VirtMan: design and implementation of a fast booting system for homogeneous virtual machines in iVCE.
Frontiers Inf. Technol. Electron. Eng., 2016

An Efficient MapReduce Computing Model for Imprecise Applications.
Int. J. Web Serv. Res., 2016

Large-scale virtual machines provisioning in clouds: challenges and approaches.
Frontiers Comput. Sci., 2016

Weakly supervised object detection using pseudo-strong labels.
CoRR, 2016

Best Effort Task Scheduling for Data Parallel Jobs.
Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

DSS: A Scalable and Efficient Stratified Sampling Algorithm for Large-Scale Datasets.
Proceedings of the Network and Parallel Computing, 2016

Shuffle-efficient distributed Locality Sensitive Hashing on spark.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

OPTAS: Decentralized flow monitoring and scheduling for tiny tasks.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

A mobile recommendation system based on logistic regression and Gradient Boosting Decision Trees.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

On the Expandability and Fidelity of Distributed Line Graphs.
Proceedings of the IEEE International Conference on Web Services, 2016

SMARTPARTITION: Efficient Partitioning for Natural Graphs.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

Efficient Semantic-Aware Coflow Scheduling for Data-Parallel Jobs.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015
Joint VM placement and topology optimization for traffic scalability in dynamic datacenter networks.
Comput. Networks, 2015

Design, Implementation and Evaluation of an Application-Layer Virtualized Network.
Proceedings of the 2015 IEEE Symposium on Service-Oriented System Engineering, 2015

CubicRing: Enabling One-Hop Failure Detection and Recovery for Distributed In-Memory Storage Systems.
Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation, 2015

Partial Clones for Stragglers in MapReduce.
Proceedings of the Intelligent Computation in Big Data Era, 2015

FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

DFIS: A Scalable Distributed Fingerprint Identification System.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Pallas: An Application-Driven Task and Network Simulation Framework.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

Efficient Distributed Data Clustering on Spark.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014
VMThunder: Fast Provisioning of Large-Scale Virtual Machine Clusters.
IEEE Trans. Parallel Distributed Syst., 2014

MapCheckReduce: An Improved MapReduce Computing Model for Imprecise Applications.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013
Internet-based Virtual Computing Environment: Beyond the data center as a computer.
Future Gener. Comput. Syst., 2013

OPTAS: Optimal Data Placement in MapReduce.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013

Efficient Bulk Loading to Accelerate Spatial Keyword Queries.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013

2012
SCautz: a high performance and fault-tolerant datacenter network for modular datacenters.
Sci. China Inf. Sci., 2012

2011
Efficient range query processing over DHTs based on the balanced Kautz tree.
Concurr. Comput. Pract. Exp., 2011

Survey of DHT topology construction techniques in virtual computing environments.
Sci. China Inf. Sci., 2011

2010
Enabling routing control in a DHT.
IEEE J. Sel. Areas Commun., 2010

Embedded DHT overlays in virtual computing environments.
Sci. China Inf. Sci., 2010

Superscalar communication: A runtime optimization for distributed applications.
Sci. China Inf. Sci., 2010

Automatic Concurrency Management for distributed applications.
Proceedings of the 15th IEEE Symposium on Computers and Communications, 2010

2009
Efficient Range Query Processing in Peer-to-Peer Systems.
IEEE Trans. Knowl. Data Eng., 2009

A peer-to-peer IO buffering service based on RAM-grid.
Int. J. Auton. Adapt. Commun. Syst., 2009

SKY: efficient peer-to-peer networks based on distributed Kautz graphs.
Sci. China Ser. F Inf. Sci., 2009

DHT-Based Range Query Processing for Web Service Discovery.
Proceedings of the IEEE International Conference on Web Services, 2009

2008
Flexible Routing in Grouped DHTs.
Proceedings of the Proceedings P2P'08, 2008

Distributed Line Graphs: A Universal Framework for Building DHTs Based on Arbitrary Constant-Degree Graphs.
Proceedings of the 28th IEEE International Conference on Distributed Computing Systems (ICDCS 2008), 2008

2007
PIBUS: A Network Memory-Based Peer-to-Peer IO Buffering Service.
Proceedings of the NETWORKING 2007. Ad Hoc and Sensor Networks, 2007

NCRS: A Network RAM-Based Computational Resource Sharing Grid.
Proceedings of the Network Control and Optimization, 2007

Collaborative Search in Large-scale Unstructured Peer-to-Peer Networks.
Proceedings of the 2007 International Conference on Parallel Processing (ICPP 2007), 2007

2006
Delay-Bounded Range Queries in DHT-based Peer-to-Peer Systems.
Proceedings of the 26th IEEE International Conference on Distributed Computing Systems (ICDCS 2006), 2006

DRWT: An Efficient Random Walk Algorithm for Unstructured P2P Networks.
Proceedings of the Distributed Computing and Networking, 8th International Conference, 2006

2005
A novel constant degree and constant congestion DHT scheme for peer-to-peer networks.
Sci. China Ser. F Inf. Sci., 2005

FISSIONE: a scalable constant degree and low congestion DHT scheme based on Kautz graphs.
Proceedings of the INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 2005

Topology Construction and Resource Discovery in Peer-to-Peer Networks.
Proceedings of the Handbook on Theoretical and Algorithmic Aspects of Sensor, 2005

2004
Graph-Theoretic Analysis of Kautz Topology and DHT Schemes.
Proceedings of the Network and Parallel Computing, IFIP International Conference, 2004

Topology and Resource Discovery in Peer-to-Peer Overlay Networks.
Proceedings of the Grid and Cooperative Computing, 2004

2003
GridDaen: A Data Grid Engine.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

Efficient Search in Gnutella-Like "Small-World" Peer-to-Peer Systems.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

Dynamic Self-Adaptive Replica Location Method in Data Grids.
Proceedings of the 2003 IEEE International Conference on Cluster Computing (CLUSTER 2003), 2003

A Scalable Peer-to-Peer Network with Constant Degree.
Proceedings of the Advanced Parallel Programming Technologies, 5th International Workshop, 2003


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