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2020 – today
- 2025
[j5]Shaoqi Wang
, Chunjie Yang:
Enabling multi-step forecasting with structured state space learning module. Inf. Sci. 692: 121669 (2025)- 2024
- [i2]Shaoqi Wang, Chunjie Yang, Siwei Lou:
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient. CoRR abs/2409.15393 (2024) - 2022
- [j4]Shaoqi Wang, Aidi Pi, Xiaobo Zhou:
Elastic Parameter Server: Accelerating ML Training With Scalable Resource Scheduling. IEEE Trans. Parallel Distributed Syst. 33(5): 1128-1143 (2022) - 2021
- [j3]Shaoqi Wang, Aidi Pi, Xiaobo Zhou, Jun Wang, Cheng-Zhong Xu:
Overlapping Communication With Computation in Parameter Server for Scalable DL Training. IEEE Trans. Parallel Distributed Syst. 32(9): 2144-2159 (2021) - [j2]Yongqiang Lu, Zhaobin Liu, Shaoqi Wang, Zhiyang Li, Weijiang Liu, Xuhui Chen:
Temporal Index Scheme of Hyperledger Fabric System in IoT. Wirel. Commun. Mob. Comput. 2021: 9945530:1-9945530:15 (2021) - [c15]Junxian Zhao, Aidi Pi, Shaoqi Wang, Xiaobo Zhou:
FlashByte: Improving Memory Efficiency with Lightweight Native Storage. CCGRID 2021: 61-70 - [c14]Aidi Pi, Junxian Zhao, Shaoqi Wang, Xiaobo Zhou:
Memory at your service: fast memory allocation for latency-critical services. Middleware 2021: 185-197 - [i1]Aidi Pi, Junxian Zhao, Shaoqi Wang, Xiaobo Zhou:
Memory at Your Service: Fast Memory Allocation for Latency-critical Services. CoRR abs/2109.02922 (2021) - 2020
- [c13]Shaoqi Wang, Oscar J. Gonzalez, Xiaobo Zhou, Thomas Williams, Brian D. Friedman, Martin Havemann, Thomas Y. C. Woo:
An efficient and non-intrusive GPU scheduling framework for deep learning training systems. SC 2020: 90
2010 – 2019
- 2019
- [j1]Shaoqi Wang, Wei Chen, Xiaobo Zhou, Liqiang Zhang, Yin Wang:
Dependency-Aware Network Adaptive Scheduling of Data-Intensive Parallel Jobs. IEEE Trans. Parallel Distributed Syst. 30(3): 515-529 (2019) - [c12]Shaoqi Wang, Aidi Pi, Xiaobo Zhou:
Scalable Distributed DL Training: Batching Communication and Computation. AAAI 2019: 5289-5296 - [c11]Wei Chen, Aidi Pi, Shaoqi Wang, Xiaobo Zhou:
Pufferfish: Container-driven Elastic Memory Management for Data-intensive Applications. SoCC 2019: 259-271 - [c10]Aidi Pi, Wei Chen, Shaoqi Wang, Xiaobo Zhou:
Semantic-aware Workflow Construction and Analysis for Distributed Data Analytics Systems. HPDC 2019: 255-266 - [c9]Shaoqi Wang, Wei Chen, Xiaobo Zhou, Sang-Yoon Chang, Mike Ji:
Addressing Skewness in Iterative ML Jobs with Parameter Partition. INFOCOM 2019: 1261-1269 - [c8]Wei Chen, Aidi Pi, Shaoqi Wang, Xiaobo Zhou:
OS-Augmented Oversubscription of Opportunistic Memory with a User-Assisted OOM Killer. Middleware 2019: 28-40 - 2018
- [c7]Yinggen Xu, Wei Chen, Shaoqi Wang, Xiaobo Zhou, Changjun Jiang:
Improving Utilization and Parallelism of Hadoop Cluster by Elastic Containers. INFOCOM 2018: 180-188 - [c6]Palden Lama, Shaoqi Wang, Xiaobo Zhou, Dazhao Cheng:
Performance Isolation of Data-Intensive Scale-out Applications in a Multi-tenant Cloud. IPDPS 2018: 85-94 - [c5]Wei Chen, Aidi Pi, Shaoqi Wang, Xiaobo Zhou:
Characterizing Scheduling Delay for Low-Latency Data Analytics Workloads. IPDPS 2018: 630-639 - [c4]Shaoqi Wang, Wei Chen, Aidi Pi, Xiaobo Zhou:
Aggressive Synchronization with Partial Processing for Iterative ML Jobs on Clusters. Middleware 2018: 253-265 - 2017
- [c3]Shaoqi Wang, Xiaobo Zhou, Liqiang Zhang, Changjun Jiang:
Network-Adaptive Scheduling of Data-Intensive Parallel Jobs with Dependencies in Clusters. ICAC 2017: 155-160 - 2014
- [c2]Shaoqi Wang, Miao Li, Zede Zhu, Zhenxin Yang, Shizhuang Weng:
Improving Bilingual Lexicon Extraction Performance from Comparable Corpora via Optimizing Translation Candidate Lists. CIPS-SIGHAN 2014: 18-25 - [c1]Zhenxin Yang, Miao Li, Zede Zhu, Lei Chen, Linyu Wei, Shaoqi Wang:
A maximum entropy based reordering model for Mongolian-Chinese SMT with morphological information. IALP 2014: 175-178
Coauthor Index
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