Wang Wang

According to our database, Wang Wang authored at least 26 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

AMAD: Active learning-based multivariate time series anomaly detection for large-scale IT systems.

Rongwei Yu, Yong Wang, Wang Wang

Comput. Secur., February, 2024

2023

An Improved Deeplabv3+ Model for Semantic Segmentation of Urban Environments Targeting Autonomous Driving.

Wang Wang, Hua He, Changsong Ma

Int. J. Comput. Commun. Control, October, 2023

Sentiment Analysis of Chinese Product Reviews Based on Fusion of DUAL-Channel BiLSTM and Self-Attention.

Ye Yuan, Wang Wang, Guangze Wen, Zikun Zheng, Zhemin Zhuang

Future Internet, 2023

Iterative Reconstruction Based on Latent Diffusion Model for Sparse Data Reconstruction.

Linchao He, Hongyu Yan, Mengting Luo, Kunming Luo, Wang Wang, Wenchao Du, Hu Chen, Hongyu Yang, Yi Zhang

CoRR, 2023

ANS: Assimilating Near Similarity at High Accuracy for Significant Deduction of CNN Storage and Computation.

Wang Wang, Xin Zhong, Manni Li, Zixu Li, Yinyin Lin

IEEE Access, 2023

A Multi-source Domain Adaption Approach to Minority Disk Failure Prediction.

Wang Wang, Xuehai Tang, Biyu Zhou, Yangchen Dong, Yuanhang Feng, Jizhong Han, Songlin Hu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022

Statistical Observations of Three Co-Existing NBTI Behaviors in 28 nm HKMG by On-Chip Monitor With Less Recovery Impact.

Yarong Fu, Wang Wang, Xin Zhong, Manni Li, Zixu Li, Qing Dong, Yu Jiang, Yinyin Lin

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Improving disk failure detection accuracy via data augmentation.

Wang Wang, Xuehai Tang, Biyu Zhou, Wenjie Xiao, Jizhong Han, Songlin Hu

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Fine-grained Spatiotemporal Features-Based for Anomaly Detection in Microservice Systems.

Xikang Yang, Juan Wang, Biyu Zhou, Wang Wang, Wantao Liu, Yangchen Dong

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

Performance Assessment of BDS-2/BDS-3/GPS/Galileo Attitude Determination Based on the Single-Differenced Model with Common-Clock Receivers.

Mingkui Wu, Shuai Luo, Wang Wang, Wanke Liu

Remote. Sens., 2021

Gradient Boosting Estimation of the Leaf Area Index of Apple Orchards in UAV Remote Sensing.

Zhijie Liu, Pengju Guo, Heng Liu, Pan Fan, Pengzong Zeng, Xiangyang Liu, Ce Feng, Wang Wang, Fuzeng Yang

Remote. Sens., 2021

Grasp the Key: Towards Fast and Accurate Host-Based Intrusion Detection in Data Centers.

Mengtian Gu, Biyu Zhou, Fengyang Du, Xuehai Tang, Wang Wang, Liangjun Zang, Jizhong Han, Songlin Hu

Proceedings of the Computational Science - ICCS 2021, 2021

Fed-Tra: Improving Accuracy of Deep Learning Model on Non-iid in Federated Learning.

Wenjie Xiao, Xuehai Tang, Biyu Zhou, Wang Wang, Yangchen Dong, Liangjun Zang, Jizhong Han, Songlin Hu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020

Accelerating Distributed Deep Learning By Adaptive Gradient Quantization.

Jinrong Guo, Wantao Liu, Wang Wang, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Tail: An Automated and Lightweight Gradient Compression Framework for Distributed Deep Learning.

Jinrong Guo, Songlin Hu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Differential Inter-System Biases Estimation and Initial Assessment of Instantaneous Tightly Combined RTK with BDS-3, GPS, and Galileo.

Mingkui Wu, Wanke Liu, Wang Wang, Xiaohong Zhang

Remote. Sens., 2019

AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Deep Neural Networks.

Jinrong Guo, Wantao Liu, Wang Wang, Qu Lu, Songlin Hu, Jizhong Han, Ruixuan Li

CoRR, 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, Jizhong Han, Ruixuan Li

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-Deep Neural Networks.

Jinrong Guo, Wantao Liu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu

Proceedings of the 37th IEEE International Conference on Computer Design, 2019

Nanily: A QoS-Aware Scheduling for DNN Inference Workload in Clouds.

Xuehai Tang, Peng Wang, Qiuyang Liu, Wang Wang, Jizhong Han

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

<i>In silico</i> structure prediction and inhibition mechanism studies of AtHDA14 as revealed by homology modeling, docking, molecular dynamics simulation.

Minglang Zhao, Wang Wang, Hu Nie, Sha-Sha Cao, Lin-Fang Du

Comput. Biol. Chem., 2018

2017

A research for embedded system software accident mechanism.

Wang Wang, Xiaohong Bao, Tingdi Zhao

Proceedings of the 2nd International Conference on System Reliability and Safety, 2017

2015

Conceptual modelling and the project process in real simulation projects: a survey of simulation modellers.

Roger J. Brooks, Wang Wang

J. Oper. Res. Soc., 2015

2010

Towards comprehensive integration management of business continuity, records and knowledge.

Xiaomi An, Wang Wang

Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2010

2007

Improving the understanding of conceptual modelling.

Wang Wang, Roger J. Brooks

J. Simulation, 2007

Empirical investigations of conceptual modeling and the modeling process.

Wang Wang, Roger J. Brooks

Proceedings of the Winter Simulation Conference, 2007