CROWN Node Server: An Enhanced Grid Service Container Based on GT4 WSRF Core. - Hailong Sun 001; Wantao Liu; Tianyu Wo; Chunming Hu (GCC Workshops, 2006)

Communicating Security Assertions over the GridFTP Control Channel. - Rajkumar Kettimuthu; Wantao Liu; Frank Siebenlist; Ian T. Foster (eScience, 2008)

A GridFTP Transport Driver for Globus XIO. - Rajkumar Kettimuthu; Wantao Liu; Joseph M. Link; John Bresnahan (PDPTA, 2008)

GridFTP GUI: An Easy and Efficient Way to Transfer Data in Grid. - Wantao Liu; Rajkumar Kettimuthu; Brian Tieman; Ravi K. Madduri; Bo Li 005; Ian T. Foster (GridNets, 2009)

DataMover: A Lightweight, Extensible Data Movement Framework for Grid Environments. - Wantao Liu; Rajkumar Kettimuthu; Ravi K. Madduri (PDPTA, 2009)

A data transfer framework for large-scale science experiments. - Wantao Liu; Brian Tieman; Rajkumar Kettimuthu; Ian T. Foster (HPDC, 2010)

Resilient Virtual Network Service Provision in Network Virtualization Environments. - Yang Chen; Jianxin Li 002; Tianyu Wo; Chunming Hu; Wantao Liu (ICPADS, 2010)

An adaptive strategy for scheduling data-intensive applications in Grid environments. - Wantao Liu; Rajkumar Kettimuthu; Bo Li 005; Ian T. Foster (ICT, 2010)

A Fuzzy-Based Dynamic Provision Approach for Virtualized Network Intrusion Detection Systems. - Bo Li 005; Jianxin Li 002; Tianyu Wo; Xudong Wu; Junaid Arshad; Wantao Liu (AST/UCMA/ISA/ACN, 2010)

Moving huge scientific datasets over the Internet. - Wantao Liu; Brian Tieman; Rajkumar Kettimuthu; Ian T. Foster (Concurr. Comput. Pract. Exp., 2011)

DGFIndex: a hive multidimensional range index for smart meter big data. - Yue Liu 006; Wantao Liu; Zheng Xiao; Weihao Qiu; Yanhu Li; Ying Liang (Middleware Demo & Poster Track, 2013)

DualTable: A Hybrid Storage Model for Update Optimization in Hive. - Songlin Hu 001; Wantao Liu; Tilmann Rabl; Shuo Huang; Ying Liang; Zheng Xiao; Hans-Arno Jacobsen; Xubin Pei (CoRR, 2014)

DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index. - Yue Liu 006; Songlin Hu 001; Tilmann Rabl; Wantao Liu; Hans-Arno Jacobsen; Kaifeng Wu; Jian Chen (CoRR, 2014)

DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index. - Yue Liu 006; Songlin Hu 001; Tilmann Rabl; Wantao Liu; Hans-Arno Jacobsen; Kaifeng Wu; Jian Chen; Jintao Li 001 (Proc. VLDB Endow., 2014)

DualTable: A hybrid storage model for update optimization in Hive. - Songlin Hu 001; Wantao Liu; Tilmann Rabl; Shuo Huang; Ying Liang; Zheng Xiao; Hans-Arno Jacobsen; Xubin Pei; Jiye Wang (ICDE, 2015)

CGAN Based Cloud Computing Server Power Curve Generating. - Longchuan Yan; Wantao Liu; Yin Liu; Songlin Hu 001 (ICA3PP (4), 2018)

Multi-stage Gradient Compression: Overcoming the Communication Bottleneck in Distributed Deep Learning. - Qu Lu; Wantao Liu; Jizhong Han; Jinrong Guo (ICONIP (1), 2018)

Temperature and Power Aware Server Placement Optimization for Enterprise Data Center. - Longchuan Yan; Wantao Liu; Dongxia Bai (ICPADS, 2018)

AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-Deep Neural Networks. - Jinrong Guo; Wantao Liu; Wang Wang; Chunrong Yao; Jizhong Han; Ruixuan Li 001; Yijun Lu; Songlin Hu 001 (ICCD, 2019)

A GPU memory efficient speed-up scheme for training ultra-deep neural networks: poster. - Jinrong Guo; Wantao Liu; Wang Wang; Qu Lu; Songlin Hu 001; Jizhong Han; Ruixuan Li 001 (PPoPP, 2019)

AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Deep Neural Networks. - Jinrong Guo; Wantao Liu; Wang Wang; Qu Lu; Songlin Hu 001; Jizhong Han; Ruixuan Li 001 (CoRR, 2019)

Accelerating Distributed Deep Learning By Adaptive Gradient Quantization. - Jinrong Guo; Wantao Liu; Wang Wang; Jizhong Han; Ruixuan Li 001; Yijun Lu; Songlin Hu 001 (ICASSP, 2020)

Workload Prediction and VM Clustering Based Server Energy Optimization in Enterprise Cloud Data Center. - Longchuan Yan; Wantao Liu; Biyu Zhou; Congfeng Jiang; Ruixuan Li 001; Songlin Hu 001 (ICA3PP (3), 2021)

Deep Reinforcement Learning based Optimization of Battery Charging and Discharging Management for Data Center. - Longchuan Yan; Wantao Liu; Wei Jiang 028; Yan Li; Ruixuan Li 001; Songlin Hu 001 (IJCNN, 2021)

Evaluating and analyzing the energy efficiency of CNN inference on high-performance GPU. - Chunrong Yao; Wantao Liu; Weiqing Tang; Jinrong Guo; Songlin Hu 001; Yijun Lu; Wei Jiang 028 (Concurr. Comput. Pract. Exp., 2021)

DCPowerMan: A Power Management System for Data Center. - Jun Liu; Longchuan Yan; Yan Li; Ce Yu; Wantao Liu (AIAM, 2022)

Fine-grained Spatiotemporal Features-Based for Anomaly Detection in Microservice Systems. - Xikang Yang; Juan Wang; Biyu Zhou; Wang Wang; Wantao Liu; Yangchen Dong (HPCC/DSS/SmartCity/DependSys, 2022)

MakeItSmile: Detail-Enhanced Smiling Face Reenactment. - Xiaomeng Fu; Xi Wang 014; Jin Liu 020; Wantao Liu; Jiao Dai; Jizhong Han (IJCNN, 2022)

EAIS: Energy-aware adaptive scheduling for CNN inference on high-performance GPUs. - Chunrong Yao; Wantao Liu; Weiqing Tang; Songlin Hu 001 (Future Gener. Comput. Syst., 2022)

EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs. - Chunrong Yao; Wantao Liu; Zhibing Liu; Longchuan Yan; Songlin Hu 001; Weiqing Tang (Neurocomputing, 2022)

An Improved U-Net Network for Sandy Road Extraction from Remote Sensing Imagery. - Yunfeng Nie; Kang An; Xingfeng Chen; Limin Zhao; Wantao Liu; Xing Wang; Yihao Yu; Wenyi Luo; Kewei Li; Zhaozhong Zhang (Remote. Sens., 2023)