An Improved Reduced Set Method to Control the Run-time Complexity of SVM in Wireless Sensor Networks. - Mingqing Hu; Andrea Boni (ETFA, 2006)

WiFi-Based Power Aware Pervasive Device. - Yiqiang Chen 001; Mingqing Hu; Qingsheng Yuan; Junfa Liu (PerCom, 2008)

Dynamic Compensation of Nonlinear Sensors by a Learning-From-Examples Approach. - Anna Marconato; Mingqing Hu; Andrea Boni; Dario Petri (IEEE Trans. Instrum. Meas., 2008)

Energy-Efficient Signal Classification in Ad hoc Wireless Sensor Networks. - Fernando Pianegiani; Mingqing Hu; Andrea Boni; Dario Petri (IEEE Trans. Instrum. Meas., 2008)

Building Sparse Multiple-Kernel SVM Classifiers. - Mingqing Hu; Yiqiang Chen 001; James Tin-Yau Kwok (IEEE Trans. Neural Networks, 2009)

Automatic image annotation using tag-related random search over visual neighbors. - Zijia Lin; Guiguang Ding; Mingqing Hu; Jianmin Wang 001; Jiaguang Sun 001 (CIKM, 2012)

Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions. - Zijia Lin; Guiguang Ding; Mingqing Hu; Jianmin Wang 001; Xiaojun Ye 001 (CVPR, 2013)

Multi-source image auto-annotation. - Zijia Lin; Guiguang Ding; Mingqing Hu (ICIP, 2013)

Multi-label Classification via Feature-aware Implicit Label Space Encoding. - Zijia Lin; Guiguang Ding; Mingqing Hu; Jianmin Wang 001 (ICML, 2014)

Improved PID algorithms with application to excimer laser temperature control. - Mingqing Hu; Xiaoquan Han; Zebing Feng; Yi Zhou; Weihu Zhou; Lujun Bai; Bing Li (ICSAI, 2014)

Image tag completion via dual-view linear sparse reconstructions. - Zijia Lin; Guiguang Ding; Mingqing Hu; Yunzhen Lin; Shuzhi Sam Ge (Comput. Vis. Image Underst., 2014)

Semantics-preserving hashing for cross-view retrieval. - Zijia Lin; Guiguang Ding; Mingqing Hu; Jianmin Wang 001 (CVPR, 2015)

Image auto-annotation via tag-dependent random search over range-constrained visual neighbours. - Zijia Lin; Guiguang Ding; Mingqing Hu (Multim. Tools Appl., 2015)

Transfer Learning of Deep Neural Network for Speech Emotion Recognition. - Ying Huang; Mingqing Hu; Xianguo Yu; Tao Wang; Chen Yang (CCPR (2), 2016)

Threat or Opportunity - Analysis of the Impact of Artificial Intelligence on Future Employment. - Fenglian Wang; Mingqing Hu; Min Zhu (HCI (19), 2020)

PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. - Weijie Zhao 001; Xuewu Jiao; Mingqing Hu; Xiaoyun Li; Xiangyu Zhang; Ping Li 001 (IEEE Big Data, 2022)

Prevention of GAN-Based Privacy Inferring Attacks Towards Federated Learning. - Hongbo Cao; Yongsheng Zhu; Yuange Ren; Bin Wang 062; Mingqing Hu; Wanqi Wang; Wei Wang 012 (CollaborateCom (2), 2022)

TBFL: A Trusted Blockchain-based Federated Learning System. - Yufang Wu; Guorong Chen; Yuhao Liu; Chao Li 023; Mingqing Hu; Wei Wang 012 (HPCC/DSS/SmartCity/DependSys, 2022)

Detecting Vulnerabilities in Ethereum Smart Contracts with Deep Learning. - Zhendong Wu; Shan Li; Bin Wang 062; Tianjian Liu; Yongsheng Zhu; Chenming Zhu; Mingqing Hu (ICDIS, 2022)

Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. - Weijie Zhao 001; Xuewu Jiao; Mingqing Hu; Xiaoyun Li; Xiangyu Zhang; Ping Li 001 (CoRR, 2022)

PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. - Xuewu Jiao; Weibin Li; Xinxuan Wu; Wei Hu; Miao Li; Jiang Bian 003; Siming Dai; Xinsheng Luo; Mingqing Hu; Zhengjie Huang; Danlei Feng; Junchao Yang; et al. (KDD, 2023)

A Multi-Node Multi-GPU Distributed GNN Training Framework for Large-Scale Online Advertising. - Xuewu Jiao; Xinsheng Luo; Miao Li; Jiang Bian 003; Junchao Yang; Wei Hu; Mingqing Hu; Weipeng Lu; Shikun Feng; Danlei Feng; Dongxu Yang; Haoyi Xiong; et al. (CIKM, 2024)