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2020 – today
- 2023
[c15]Xuewu Jiao
, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu:
PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. KDD 2023: 4262-4272- 2022
- [c14]Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li:
PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. IEEE Big Data 2022: 1401-1408 - [c13]Hongbo Cao, Yongsheng Zhu, Yuange Ren, Bin Wang, Mingqing Hu, Wanqi Wang, Wei Wang:
Prevention of GAN-Based Privacy Inferring Attacks Towards Federated Learning. CollaborateCom (2) 2022: 39-54 - [c12]Yufang Wu, Guorong Chen, Yuhao Liu, Chao Li, Mingqing Hu, Wei Wang:
TBFL: A Trusted Blockchain-based Federated Learning System. HPCC/DSS/SmartCity/DependSys 2022: 311-318 - [c11]Zhendong Wu, Shan Li, Bin Wang, Tianjian Liu, Yongsheng Zhu, Chenming Zhu, Mingqing Hu:
Detecting Vulnerabilities in Ethereum Smart Contracts with Deep Learning. ICDIS 2022: 55-60 - [i1]Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li:
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. CoRR abs/2201.05500 (2022) - 2020
- [c10]Fenglian Wang, Mingqing Hu, Min Zhu:
Threat or Opportunity - Analysis of the Impact of Artificial Intelligence on Future Employment. HCI (19) 2020: 296-308
2010 – 2019
- 2016
- [c9]Ying Huang, Mingqing Hu, Xianguo Yu, Tao Wang, Chen Yang:
Transfer Learning of Deep Neural Network for Speech Emotion Recognition. CCPR (2) 2016: 721-729 - 2015
- [j5]Zijia Lin, Guiguang Ding, Mingqing Hu:
Image auto-annotation via tag-dependent random search over range-constrained visual neighbours. Multim. Tools Appl. 74(11): 4091-4116 (2015) - [c8]Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang:
Semantics-preserving hashing for cross-view retrieval. CVPR 2015: 3864-3872 - 2014
- [j4]Zijia Lin, Guiguang Ding, Mingqing Hu, Yunzhen Lin, Shuzhi Sam Ge:
Image tag completion via dual-view linear sparse reconstructions. Comput. Vis. Image Underst. 124: 42-60 (2014) - [c7]Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang:
Multi-label Classification via Feature-aware Implicit Label Space Encoding. ICML 2014: 325-333 - [c6]Mingqing Hu, Xiaoquan Han, Zebing Feng, Yi Zhou, Weihu Zhou, Lujun Bai, Bing Li:
Improved PID algorithms with application to excimer laser temperature control. ICSAI 2014: 84-88 - 2013
- [c5]Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Xiaojun Ye:
Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions. CVPR 2013: 1618-1625 - [c4]Zijia Lin, Guiguang Ding, Mingqing Hu:
Multi-source image auto-annotation. ICIP 2013: 2567-2571 - 2012
- [c3]Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Jiaguang Sun:
Automatic image annotation using tag-related random search over visual neighbors. CIKM 2012: 1784-1788
2000 – 2009
- 2009
- [j3]Mingqing Hu, Yiqiang Chen, James Tin-Yau Kwok:
Building Sparse Multiple-Kernel SVM Classifiers. IEEE Trans. Neural Networks 20(5): 827-839 (2009) - 2008
- [j2]Fernando Pianegiani, Mingqing Hu, Andrea Boni, Dario Petri:
Energy-Efficient Signal Classification in Ad hoc Wireless Sensor Networks. IEEE Trans. Instrum. Meas. 57(1): 190-196 (2008) - [j1]Anna Marconato, Mingqing Hu, Andrea Boni, Dario Petri:
Dynamic Compensation of Nonlinear Sensors by a Learning-From-Examples Approach. IEEE Trans. Instrum. Meas. 57(8): 1689-1694 (2008) - [c2]Yiqiang Chen, Mingqing Hu, Qingsheng Yuan, Junfa Liu:
WiFi-Based Power Aware Pervasive Device. PerCom 2008: 669-674 - 2006
- [c1]Mingqing Hu, Andrea Boni:
An Improved Reduced Set Method to Control the Run-time Complexity of SVM in Wireless Sensor Networks. ETFA 2006: 308-313
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