Mingqing Hu

22 papers A* 5A 2B 2C 1Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2024 A conf
A Multi-Node Multi-GPU Distributed GNN Training Framework for Large-Scale Online Advertising.
CIKM
Xuewu Jiao, Xinsheng Luo, Miao Li, Jiang Bian, Junchao Yang, Wei Hu, Mingqing Hu, Weipeng Lu, Shikun Feng, Danlei Feng, Dongxu Yang, Haoyi Xiong, Shuanglong Li, Lin Liu
2023 A* conf
PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation.
KDD
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
2022 J jnl
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising.
CoRR
Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li
2022 — conf
Detecting Vulnerabilities in Ethereum Smart Contracts with Deep Learning.
ICDIS
Zhendong Wu, Shan Li, Bin Wang, Tianjian Liu, Yongsheng Zhu, Chenming Zhu, Mingqing Hu
2022 B conf
PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising.
IEEE Big Data
Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li
2022 — conf
Prevention of GAN-Based Privacy Inferring Attacks Towards Federated Learning.
CollaborateCom (2)
Hongbo Cao, Yongsheng Zhu, Yuange Ren, Bin Wang, Mingqing Hu, Wanqi Wang, Wei Wang
2022 — conf
TBFL: A Trusted Blockchain-based Federated Learning System.
HPCC/DSS/SmartCity/DependSys
Yufang Wu, Guorong Chen, Yuhao Liu, Chao Li, Mingqing Hu, Wei Wang
2020 — conf
Threat or Opportunity - Analysis of the Impact of Artificial Intelligence on Future Employment.
HCI (19)
Fenglian Wang, Mingqing Hu, Min Zhu
2016 — conf
Transfer Learning of Deep Neural Network for Speech Emotion Recognition.
CCPR (2)
Ying Huang, Mingqing Hu, Xianguo Yu, Tao Wang, Chen Yang
2015 J jnl
Image auto-annotation via tag-dependent random search over range-constrained visual neighbours.
Multim. Tools Appl.
Zijia Lin, Guiguang Ding, Mingqing Hu
2015 A* conf
Semantics-preserving hashing for cross-view retrieval.
CVPR
Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang
2014 J jnl
Image tag completion via dual-view linear sparse reconstructions.
Comput. Vis. Image Underst.
Zijia Lin, Guiguang Ding, Mingqing Hu, Yunzhen Lin, Shuzhi Sam Ge
2014 — conf
Improved PID algorithms with application to excimer laser temperature control.
ICSAI
Mingqing Hu, Xiaoquan Han, Zebing Feng, Yi Zhou, Weihu Zhou, Lujun Bai, Bing Li
2014 A* conf
Multi-label Classification via Feature-aware Implicit Label Space Encoding.
ICML
Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang
2013 A* conf
Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions.
CVPR
Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Xiaojun Ye
2013 B conf
Multi-source image auto-annotation.
ICIP
Zijia Lin, Guiguang Ding, Mingqing Hu
2012 A conf
Automatic image annotation using tag-related random search over visual neighbors.
CIKM
Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Jiaguang Sun
2009 J jnl
Building Sparse Multiple-Kernel SVM Classifiers.
IEEE Trans. Neural Networks
Mingqing Hu, Yiqiang Chen, James Tin-Yau Kwok
2008 J jnl
Dynamic Compensation of Nonlinear Sensors by a Learning-From-Examples Approach.
IEEE Trans. Instrum. Meas.
Anna Marconato, Mingqing Hu, Andrea Boni, Dario Petri
2008 J jnl
Energy-Efficient Signal Classification in Ad hoc Wireless Sensor Networks.
IEEE Trans. Instrum. Meas.
Fernando Pianegiani, Mingqing Hu, Andrea Boni, Dario Petri
2008 A* conf
WiFi-Based Power Aware Pervasive Device.
PerCom
Yiqiang Chen, Mingqing Hu, Qingsheng Yuan, Junfa Liu
2006 C conf
An Improved Reduced Set Method to Control the Run-time Complexity of SVM in Wireless Sensor Networks.
ETFA
Mingqing Hu, Andrea Boni