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Wang Wang
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2020 – today
- 2024
- [j12]Rongwei Yu, Yong Wang, Wang Wang:
AMAD: Active learning-based multivariate time series anomaly detection for large-scale IT systems. Comput. Secur. 137: 103603 (2024) - [j11]Chuanfeng Li
, Yang Yu
, Zhiming Yang
, Wang Wang
, Xiyuan Peng
:
A Sensorless Open-Circuit Fault Identification Method for Interleaved Boost Converter. IEEE Trans. Instrum. Meas. 73: 1-8 (2024) - [c14]Zixu Li, Wang Wang, Xin Zhong, Manni Li, Jiayu Yang, Yinyin Lin, Guhyun Kim, Yosub Song, Chengchen Wang, Xiankui Xiong:
LauWS: Local Adaptive Unstructured Weight Sparsity of Load Balance for DNN in Near-Data Processing. ISCAS 2024: 1-5 - 2023
- [j10]Wang Wang
, Xin Zhong, Manni Li, Zixu Li, Yinyin Lin
:
ANS: Assimilating Near Similarity at High Accuracy for Significant Deduction of CNN Storage and Computation. IEEE Access 11: 25415-25430 (2023) - [j9]Ye Yuan, Wang Wang, Guangze Wen, Zikun Zheng, Zhemin Zhuang
:
Sentiment Analysis of Chinese Product Reviews Based on Fusion of DUAL-Channel BiLSTM and Self-Attention. Future Internet 15(11): 364 (2023) - [j8]Wang Wang, Hua He, Changsong Ma:
An Improved Deeplabv3+ Model for Semantic Segmentation of Urban Environments Targeting Autonomous Driving. Int. J. Comput. Commun. Control 18(6) (2023) - [c13]Wang Wang, Xuehai Tang, Biyu Zhou, Yangchen Dong, Yuanhang Feng, Jizhong Han, Songlin Hu:
A Multi-source Domain Adaption Approach to Minority Disk Failure Prediction. ICA3PP (2) 2023: 53-72 - [i2]Linchao He, Hongyu Yan, Mengting Luo, Kunming Luo, Wang Wang, Wenchao Du, Hu Chen, Hongyu Yang, Yi Zhang:
Iterative Reconstruction Based on Latent Diffusion Model for Sparse Data Reconstruction. CoRR abs/2307.12070 (2023) - 2022
- [j7]Yarong Fu, Wang Wang
, Xin Zhong, Manni Li, Zixu Li, Qing Dong, Yu Jiang, Yinyin Lin
:
Statistical Observations of Three Co-Existing NBTI Behaviors in 28 nm HKMG by On-Chip Monitor With Less Recovery Impact. IEEE Trans. Circuits Syst. I Regul. Pap. 69(12): 5185-5194 (2022) - [c12]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 - [c11]Wang Wang, Xuehai Tang, Biyu Zhou, Wenjie Xiao, Jizhong Han, Songlin Hu
:
Improving disk failure detection accuracy via data augmentation. IWQoS 2022: 1-10 - 2021
- [j6]Zhijie Liu
, Pengju Guo
, Heng Liu
, Pan Fan
, Pengzong Zeng, Xiangyang Liu
, Ce Feng, Wang Wang, Fuzeng Yang
:
Gradient Boosting Estimation of the Leaf Area Index of Apple Orchards in UAV Remote Sensing. Remote. Sens. 13(16): 3263 (2021) - [j5]Mingkui Wu, Shuai Luo, Wang Wang, Wanke Liu:
Performance Assessment of BDS-2/BDS-3/GPS/Galileo Attitude Determination Based on the Single-Differenced Model with Common-Clock Receivers. Remote. Sens. 13(23): 4845 (2021) - [c10]Wenjie Xiao, Xuehai Tang, Biyu Zhou, Wang Wang, Yangchen Dong, Liangjun Zang, Jizhong Han, Songlin Hu:
Fed-Tra: Improving Accuracy of Deep Learning Model on Non-iid in Federated Learning. ICA3PP (1) 2021: 790-803 - [c9]Mengtian Gu, Biyu Zhou, Fengyang Du, Xuehai Tang, Wang Wang, Liangjun Zang, Jizhong Han, Songlin Hu:
Grasp the Key: Towards Fast and Accurate Host-Based Intrusion Detection in Data Centers. ICCS (2) 2021: 181-194 - 2020
- [c8]Jinrong Guo, Songlin Hu
, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu:
Tail: An Automated and Lightweight Gradient Compression Framework for Distributed Deep Learning. DAC 2020: 1-6 - [c7]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
- [j4]Mingkui Wu, Wanke Liu, Wang Wang, Xiaohong Zhang:
Differential Inter-System Biases Estimation and Initial Assessment of Instantaneous Tightly Combined RTK with BDS-3, GPS, and Galileo. Remote. Sens. 11(12): 1430 (2019) - [c6]Xuehai Tang, Peng Wang, Qiuyang Liu, Wang Wang, Jizhong Han:
Nanily: A QoS-Aware Scheduling for DNN Inference Workload in Clouds. HPCC/SmartCity/DSS 2019: 2395-2402 - [c5]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 - [c4]Jinrong Guo, Wantao Liu, Wang Wang, Qu Lu, Songlin Hu
, Jizhong Han, Ruixuan Li:
A GPU memory efficient speed-up scheme for training ultra-deep neural networks: poster. PPoPP 2019: 397-398 - [i1]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
- [j3]Minglang Zhao, Wang Wang, Hu Nie, Sha-Sha Cao, Lin-Fang Du
:
In silico structure prediction and inhibition mechanism studies of AtHDA14 as revealed by homology modeling, docking, molecular dynamics simulation. Comput. Biol. Chem. 75: 120-130 (2018) - 2017
- [c3]Wang Wang, Xiaohong Bao, Tingdi Zhao:
A research for embedded system software accident mechanism. ICSRS 2017: 460-464 - 2015
- [j2]Roger J. Brooks
, Wang Wang:
Conceptual modelling and the project process in real simulation projects: a survey of simulation modellers. J. Oper. Res. Soc. 66(10): 1669-1685 (2015) - 2010
- [c2]Xiaomi An, Wang Wang:
Towards comprehensive integration management of business continuity, records and knowledge. NCM 2010: 5-10
2000 – 2009
- 2007
- [j1]Wang Wang, Roger J. Brooks
:
Improving the understanding of conceptual modelling. J. Simulation 1(3): 153-158 (2007) - [c1]Wang Wang, Roger J. Brooks:
Empirical investigations of conceptual modeling and the modeling process. WSC 2007: 762-770
Coauthor Index
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