Donglin Yang

Orcid: 0000-0002-3913-3623

According to our database1, Donglin Yang authored at least 24 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Redundancy-Free and Load-Balanced TGNN Training With Hierarchical Pipeline Parallelism.
IEEE Trans. Parallel Distributed Syst., November, 2024

Raptor-T: A Fused and Memory-Efficient Sparse Transformer for Long and Variable-Length Sequences.
IEEE Trans. Computers, July, 2024

MPMoE: Memory Efficient MoE for Pre-Trained Models With Adaptive Pipeline Parallelism.
IEEE Trans. Parallel Distributed Syst., June, 2024

Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology.
CoRR, 2024

SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups.
CoRR, 2024

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator.
CoRR, 2023

On Sparse Modern Hopfield Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Redundancy-Free High-Performance Dynamic GNN Training with Hierarchical Pipeline Parallelism.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2022
Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers.
IEEE Trans. Cloud Comput., 2022

Open Relation Extraction via Query-Based Span Prediction.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Open Relation Extraction with Non-existent and Multi-span Relationships.
Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022

Adaptive Model Design for Markov Decision Process.
Proceedings of the International Conference on Machine Learning, 2022

Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022

TsERL: Two-stage Enhancement of Radical and Lexicon for Chinese Medical Named Entity Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Data Life Aware Model Updating Strategy for Stream-Based Online Deep Learning.
IEEE Trans. Parallel Distributed Syst., 2021

Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Mitigating Stragglers in the Decentralized Training on Heterogeneous Clusters.
Proceedings of the Middleware '20: 21st International Middleware Conference, 2020

Efficient GPU Memory Management for Nonlinear DNNs.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

A Shared Memory Cache Layer across Multiple Executors in Apache Spark.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Elastic Executor Provisioning for Iterative Workloads on Apache Spark.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Clouds.
Proceedings of the 47th International Conference on Parallel Processing, 2018


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