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2020 – today
- 2024
[j5]Hulin Wang
, Donglin Yang, Yaqi Xia, Zheng Zhang, Qigang Wang, Jianping Fan, Xiaobo Zhou, Dazhao Cheng:
Raptor-T: A Fused and Memory-Efficient Sparse Transformer for Long and Variable-Length Sequences. IEEE Trans. Computers 73(7): 1852-1865 (2024)- [j4]Zheng Zhang, Yaqi Xia, Hulin Wang, Donglin Yang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng:
MPMoE: Memory Efficient MoE for Pre-Trained Models With Adaptive Pipeline Parallelism. IEEE Trans. Parallel Distributed Syst. 35(6): 843-856 (2024) - [j3]Yaqi Xia, Zheng Zhang, Donglin Yang, Chuang Hu, Xiaobo Zhou, Hongyang Chen, Qianlong Sang, Dazhao Cheng:
Redundancy-Free and Load-Balanced TGNN Training With Hierarchical Pipeline Parallelism. IEEE Trans. Parallel Distributed Syst. 35(11): 1904-1919 (2024) - [c19]Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao:
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation. ICLR 2024 - [c18]Zheng Zhang, Donglin Yang, Xiaobo Zhou, Dazhao Cheng:
MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators. SC 2024: 34 - [c17]Weihu Wang, Yaqi Xia, Donglin Yang, Xiaobo Zhou, Dazhao Cheng:
Accelerating Distributed DLRM Training with Optimized TT Decomposition and Micro-Batching. SC 2024: 49 - [c16]Yaqi Xia, Donglin Yang, Xiaobo Zhou, Dazhao Cheng:
Scaling New Heights: Transformative Cross-GPU Sampling for Training Billion-Edge Graphs. SC 2024: 50 - [i6]Yongxing Zhang, Donglin Yang, Renjie Liao:
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups. CoRR abs/2410.02942 (2024) - [i5]Xiangyu Wang, Donglin Yang, Ziqin Wang, Hohin Kwan, Jinyu Chen, Wenjun Wu, Hongsheng Li, Yue Liao, Si Liu:
Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology. CoRR abs/2410.07087 (2024) - 2023
- [c15]Yaqi Xia, Zheng Zhang, Hulin Wang, Donglin Yang, Xiaobo Zhou, Dazhao Cheng:
Redundancy-Free High-Performance Dynamic GNN Training with Hierarchical Pipeline Parallelism. HPDC 2023: 17-30 - [c14]Zheng Zhang, Donglin Yang, Yaqi Xia, Liang Ding, Dacheng Tao, Xiaobo Zhou, Dazhao Cheng:
MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism. IPDPS 2023: 167-177 - [c13]Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu:
On Sparse Modern Hopfield Model. NeurIPS 2023 - [i4]Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao:
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation. CoRR abs/2309.05527 (2023) - [i3]Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu:
On Sparse Modern Hopfield Model. CoRR abs/2309.12673 (2023) - [i2]Donglin Yang, Zhenfeng Liu, Wentao Jiang, Guohang Yan, Xing Gao, Botian Shi, Si Liu, Xinyu Cai:
Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator. CoRR abs/2312.12772 (2023) - 2022
- [j2]Donglin Yang, Dazhao Cheng, Wei Rang, Yu Wang:
Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers. IEEE Trans. Cloud Comput. 10(1): 461-473 (2022) - [c12]Donglin Yang, Huifan Yang, Bin Wu:
TsERL: Two-stage Enhancement of Radical and Lexicon for Chinese Medical Named Entity Recognition. BIBM 2022: 2719-2726 - [c11]Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao:
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction. ECCV (39) 2022: 392-409 - [c10]Siyu Chen, Donglin Yang, Jiayang Li, Senmiao Wang, Zhuoran Yang, Zhaoran Wang:
Adaptive Model Design for Markov Decision Process. ICML 2022: 3679-3700 - [c9]Huifan Yang, Da-Wei Li, Zekun Li, Donglin Yang, Bin Wu:
Open Relation Extraction with Non-existent and Multi-span Relationships. KR 2022 - [c8]Huifan Yang, Da-Wei Li, Zekun Li, Donglin Yang, Jinsheng Qi, Bin Wu:
Open Relation Extraction via Query-Based Span Prediction. KSEM (2) 2022: 70-81 - [i1]Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao:
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction. CoRR abs/2207.09705 (2022) - 2021
- [j1]Wei Rang, Donglin Yang, Dazhao Cheng, Yu Wang:
Data Life Aware Model Updating Strategy for Stream-Based Online Deep Learning. IEEE Trans. Parallel Distributed Syst. 32(10): 2571-2581 (2021) - [c7]Wei Rang, Donglin Yang, Zhimin Li, Dazhao Cheng:
Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications. IEEE BigData 2021: 1470-1480 - 2020
- [c6]Wei Rang, Donglin Yang, Dazhao Cheng:
A Shared Memory Cache Layer across Multiple Executors in Apache Spark. IEEE BigData 2020: 477-482 - [c5]Wei Rang, Donglin Yang, Dazhao Cheng, Kun Suo, Wei Chen:
Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning. CLUSTER 2020: 392-398 - [c4]Donglin Yang, Dazhao Cheng:
Efficient GPU Memory Management for Nonlinear DNNs. HPDC 2020: 185-196 - [c3]Donglin Yang, Wei Rang, Dazhao Cheng:
Mitigating Stragglers in the Decentralized Training on Heterogeneous Clusters. Middleware 2020: 386-399
2010 – 2019
- 2019
- [c2]Donglin Yang, Wei Rang, Dazhao Cheng, Yu Wang, Jiannan Tian, Dingwen Tao:
Elastic Executor Provisioning for Iterative Workloads on Apache Spark. IEEE BigData 2019: 413-422 - 2018
- [c1]Donglin Yang, Wei Rang, Dazhao Cheng:
Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Clouds. ICPP 2018: 66:1-66:10
Coauthor Index
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