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Wantao Liu
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2020 – today
- 2023
- [j6]Yunfeng Nie, Kang An
, Xingfeng Chen
An Improved U-Net Network for Sandy Road Extraction from Remote Sensing Imagery. Remote. Sens. 15(20): 4899 (2023) - 2022
- [j5]Chunrong Yao
EAIS: Energy-aware adaptive scheduling for CNN inference on high-performance GPUs. Future Gener. Comput. Syst. 130: 253-268 (2022) - [j4]Chunrong Yao, Wantao Liu, Zhibing Liu, Longchuan Yan, Songlin Hu
EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs. Neurocomputing 507: 265-281 (2022) - [c22]Jun Liu, Longchuan Yan, Yan Li, Ce Yu, Wantao Liu:
DCPowerMan: A Power Management System for Data Center. AIAM 2022: 339-342 - [c21]Xikang Yang, Juan Wang, Biyu Zhou, Wang Wang, Wantao Liu, Yangchen Dong:
Fine-grained Spatiotemporal Features-Based for Anomaly Detection in Microservice Systems. HPCC/DSS/SmartCity/DependSys 2022: 847-856 - [c20]Xiaomeng Fu, Xi Wang, Jin Liu
MakeItSmile: Detail-Enhanced Smiling Face Reenactment. IJCNN 2022: 1-8 - 2021
- [j3]Chunrong Yao
Evaluating and analyzing the energy efficiency of CNN inference on high-performance GPU. Concurr. Comput. Pract. Exp. 33(6) (2021) - [c19]Longchuan Yan, Wantao Liu, Biyu Zhou, Congfeng Jiang, Ruixuan Li, Songlin Hu:
Workload Prediction and VM Clustering Based Server Energy Optimization in Enterprise Cloud Data Center. ICA3PP (3) 2021: 293-312 - [c18]Longchuan Yan, Wantao Liu, Wei Jiang, Yan Li, Ruixuan Li, Songlin Hu
Deep Reinforcement Learning based Optimization of Battery Charging and Discharging Management for Data Center. IJCNN 2021: 1-9 - 2020
- [c17]Jinrong Guo, Wantao Liu, Wang Wang, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu
Accelerating Distributed Deep Learning By Adaptive Gradient Quantization. ICASSP 2020: 1603-1607
2010 – 2019
- 2019
- [c16]Jinrong Guo, Wantao Liu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu
AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-Deep Neural Networks. ICCD 2019: 65-72 - [c15]Jinrong Guo, Wantao Liu, Wang Wang, Qu Lu, Songlin Hu
A GPU memory efficient speed-up scheme for training ultra-deep neural networks: poster. PPoPP 2019: 397-398 - [i3]Jinrong Guo, Wantao Liu, Wang Wang, Qu Lu, Songlin Hu, Jizhong Han, Ruixuan Li:
AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Deep Neural Networks. CoRR abs/1901.06773 (2019) - 2018
- [c14]Longchuan Yan, Wantao Liu, Yin Liu, Songlin Hu:
CGAN Based Cloud Computing Server Power Curve Generating. ICA3PP (4) 2018: 12-20 - [c13]Qu Lu, Wantao Liu, Jizhong Han, Jinrong Guo:
Multi-stage Gradient Compression: Overcoming the Communication Bottleneck in Distributed Deep Learning. ICONIP (1) 2018: 107-119 - [c12]Longchuan Yan, Wantao Liu, Dongxia Bai:
Temperature and Power Aware Server Placement Optimization for Enterprise Data Center. ICPADS 2018: 433-440 - 2015
- [c11]Songlin Hu
DualTable: A hybrid storage model for update optimization in Hive. ICDE 2015: 1340-1351 - 2014
- [j2]Yue Liu, Songlin Hu
DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index. Proc. VLDB Endow. 7(13): 1496-1507 (2014) - [i2]Yue Liu, Songlin Hu, Tilmann Rabl, Wantao Liu, Hans-Arno Jacobsen, Kaifeng Wu, Jian Chen:
DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index. CoRR abs/1404.5686 (2014) - [i1]Songlin Hu, Wantao Liu, Tilmann Rabl, Shuo Huang, Ying Liang, Zheng Xiao, Hans-Arno Jacobsen, Xubin Pei:
DualTable: A Hybrid Storage Model for Update Optimization in Hive. CoRR abs/1404.6878 (2014) - 2013
- [c10]Yue Liu, Wantao Liu, Zheng Xiao, Weihao Qiu, Yanhu Li, Ying Liang:
DGFIndex: a hive multidimensional range index for smart meter big data. Middleware Demo & Poster Track 2013: 5:1-5:2 - 2011
- [j1]Wantao Liu, Brian Tieman, Rajkumar Kettimuthu, Ian T. Foster:
Moving huge scientific datasets over the Internet. Concurr. Comput. Pract. Exp. 23(18): 2404-2420 (2011) - 2010
- [c9]Wantao Liu, Brian Tieman, Rajkumar Kettimuthu, Ian T. Foster:
A data transfer framework for large-scale science experiments. HPDC 2010: 717-724 - [c8]Yang Chen, Jianxin Li, Tianyu Wo, Chunming Hu, Wantao Liu:
Resilient Virtual Network Service Provision in Network Virtualization Environments. ICPADS 2010: 51-58 - [c7]Wantao Liu, Rajkumar Kettimuthu, Bo Li, Ian T. Foster
An adaptive strategy for scheduling data-intensive applications in Grid environments. ICT 2010: 642-649 - [c6]Bo Li, Jianxin Li, Tianyu Wo, Xudong Wu, Junaid Arshad, Wantao Liu:
A Fuzzy-Based Dynamic Provision Approach for Virtualized Network Intrusion Detection Systems. AST/UCMA/ISA/ACN 2010: 115-128
2000 – 2009
- 2009
- [c5]Wantao Liu, Rajkumar Kettimuthu, Brian Tieman, Ravi K. Madduri
GridFTP GUI: An Easy and Efficient Way to Transfer Data in Grid. GridNets 2009: 57-66 - [c4]Wantao Liu, Rajkumar Kettimuthu, Ravi K. Madduri:
DataMover: A Lightweight, Extensible Data Movement Framework for Grid Environments. PDPTA 2009: 437-443 - 2008
- [c3]Rajkumar Kettimuthu, Wantao Liu, Frank Siebenlist, Ian T. Foster
Communicating Security Assertions over the GridFTP Control Channel. eScience 2008: 426-427 - [c2]Rajkumar Kettimuthu, Wantao Liu, Joseph M. Link, John Bresnahan:
A GridFTP Transport Driver for Globus XIO. PDPTA 2008: 843-849 - 2006
- [c1]Hailong Sun, Wantao Liu, Tianyu Wo, Chunming Hu:
CROWN Node Server: An Enhanced Grid Service Container Based on GT4 WSRF Core. GCC Workshops 2006: 510-517
Coauthor Index
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