Micro-communication Element System. - Zheng Peng 001; Jiazhi Zeng; Zhang Ming; Jidong Zhao (PDCAT, 2004)

Semi-supervised Learning for Image Retrieval Using Support Vector Machines. - Ke Lu 001; Jidong Zhao; Mengqin Xia; Jiazhi Zeng (ISNN (1), 2005)

Semi-supervised Support Vector Learning for Face Recognition. - Ke Lu 001; Xiaofei He 001; Jidong Zhao (ISNN (2), 2006)

An algorithm for semi-supervised learning in image retrieval. - Ke Lu 001; Jidong Zhao; Deng Cai 001 (Pattern Recognit., 2006)

Locality sensitive semi-supervised feature selection. - Jidong Zhao; Ke Lu 001; Xiaofei He 001 (Neurocomputing, 2008)

Neighborhood preserving regression for image retrieval. - Ke Lu 001; Jidong Zhao (Neurocomputing, 2011)

Hessian optimal design for image retrieval. - Ke Lu 001; Jidong Zhao; Yue Wu (Pattern Recognit., 2011)

You Take Care of the Drive, I Take Care of the Rule: A Traffic-Rule Awareness System Using Vehicular Sensors and Mobile Phones. - Xing Zhang; Jidong Zhao; Jinchuan Tang; Bang Liu (Int. J. Distributed Sens. Networks, 2012)

Do Not Stuck at Corners: A Data Delivery Algorithm at Corners in Vehicular Sensor Networks. - Jidong Zhao; Xing Zhang (Int. J. Distributed Sens. Networks, 2012)

Locally connected graph embedding for semisupervised image classification. - Ke Lu 001; Zhengming Ding; Jidong Zhao (J. Electronic Imaging, 2012)

Robust Visual Tracking Using Sparse Discriminative Graph Embedding. - Jidong Zhao; Jingjing Li 001; Ke Lu 001 (IEICE Trans. Inf. Syst., 2015)

Scheduling with Collaborative Mobile Chargers Inter-WSNs. - Jidong Zhao; Xili Dai; Xiaomin Wang (Int. J. Distributed Sens. Networks, 2015)

Joint Feature Selection and Structure Preservation for Domain Adaptation. - Jingjing Li 001; Jidong Zhao; Ke Lu 001 (IJCAI, 2016)

Multi-manifold Sparse Graph Embedding for Multi-modal Image Classification. - Jingjing Li 001; Yue Wu; Jidong Zhao; Ke Lu 001 (Neurocomputing, 2016)

Low-Rank Discriminant Embedding for Multiview Learning. - Jingjing Li 001; Yue Wu; Jidong Zhao; Ke Lu 001 (IEEE Trans. Cybern., 2017)

Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation. - Mengmeng Jing; Jingjing Li 001; Jidong Zhao; Ke Lu 001 (DASFAA (2), 2018)

I read, I saw, I tell: Texts Assisted Fine-Grained Visual Classification. - Jingjing Li 001; Lei Zhu 002; Zi Huang; Ke Lu 001; Jidong Zhao (ACM Multimedia, 2018)

SudoDEM: Unleashing the predictive power of the discrete element method on simulation for non-spherical granular particles. - Shiwei Zhao; Jidong Zhao (Comput. Phys. Commun., 2021)

Adaptive Component Embedding for Domain Adaptation. - Mengmeng Jing; Jidong Zhao; Jingjing Li 001; Lei Zhu 002; Yang Yang 002; Heng Tao Shen (IEEE Trans. Cybern., 2021)