Yuheng Jia(贾育衡)
Ph.D., Associate Professor
School of Computer Science and Engineering, Southeast University
I am a member ofPAttern Learning and Mining(PALM)Lab.

贾育衡, 博士，副教授。2019年获得香港城市大学(CityU)博士学位，2019-2020年任香港城市大学博士后研究员。 导师为Sam Kwong 讲席教授。2020年起在东南大学计算机科学与工程学院任职副教授。现为东南大学PALM实验室成员。曾任斯坦福大学（Stanford University）访问****（2018年）。研究内容广泛涉及机器学习和数据表示的多个子领域，主要包括高维数据分析、低秩张量\矩阵表示、半监督\无监督聚类、图机器学习等，以及相关的一些应用。在相关研究领域的国际会议和期刊上发表学术论文近40篇，其中CCF-A/IEEE Trans 论文近20篇。担任多个国际著名期刊会议的程序委员会委员和审稿人。

My research interests broadly include topics in machine learning and data representation, such as low-rank tensor/matrix approximation and factorization, unsupervised/semi-supervised clustering, and graph signal processing and machine learning on graphs. I have published more than 30 peer-reviewed papers on top-tier journals and conferences with respect to those topics. I defended my thesis on Nov. 2018 and officially received the Ph.D. degree on Feb. 2019 from theComputer Science Departmentat theCity University of Hong Kong, where I was advised by ProfessorSam Kwong.



Contact Information:
Office:Room 230, School of Computer Science and Engineering, Southeast University Jiulonghu Campus, Nanjing, Jiangsu, China. (东南大学九龙湖校区，计算机楼，230房间)
Email: yhjia at seu dot edu dot cn

Selective Publications:(# Corresponding author, * Co-first author)
Journal Papers:
Y. Jia, H. Liu. J. Hou, S. Kwong, Q. Zhang, Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2021, in press.
Y. Jia, H. Liu. J. Hou, S. Kwong, Q. Zhang, Semi-supervised Affinity Matrix Learning via Dual-channel Information Recovery, IEEE Transactions on Cybernetics (IEEE TCyb), 2020, in press.
H. Li, Y. Jia #, R. Cong, W. Wu, S. Kwong, C. Chen, Superpixel Segmentation Based on Spatially Constrained Subspace Clustering, IEEE Transactions on Industrial Informatics (IEEE TII), 2020, in press.

W. Wu, Y. Jia, S. Wang, R. Wang, H. Fan, S. Kwong, Positive and Negative Label-Driven Nonnegative Matrix Factorization, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2020, in press.
Z. Peng, Y. Jia, J. Hou, Non-Negative Transfer Learning with Consistent Inter-domain Distribution, IEEE Signal Processing Letters (IEEE SPL), 2020, in press.
R. Wang, S. Kwong, X. Wang, Y. Jia, Active k-Labelsets Ensemble for Multi-label Classification, Pattern Recognition (PR), vol. 109, pp. 107583, 2021.
Y. Jia, W. Wu, R. Wang, J. Hou, S. Kwong, Joint Optimization for Pairwise Constraint Propagation, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020, in press.
Y. Jia, J. Hou, S. Kwong, Constrained Clustering with Dissimilarity Propagation Guided Graph-Laplacian PCA, IEEE Transactions on Neural Networks and Learning Systems, (IEEE TNNLS), 2020, in press.
Y. Jia, H. Liu, J. Hou, S. Kwong, Clustering-aware Graph Construction: A Joint Learning Perspective, IEEE Transactions on Signal and Information Processing over Networks (IEEE TSIPN), vol. 6, pp. 357-370, 2020.
Y. Jia, H. Liu, J. Hou, S. Kwong, Semi-supervised Adaptive Symmetric Nonnegative Matrix Factorization, IEEE Transactions on Cybernetics (IEEE TCyb), 2020 in press.
S. Yang, J. Hou, Y. Jia, S. Mei, Q. Du, Hyperspectral Image Classification with Incremental Sparse Representation, IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol. 17, no. 9, pp. 1598-1602, 2020.
Y. Jia, H. Liu, J. Hou, S. Kwong, Pairwise Constraint Propagation with Dual Adversarial Manifold Regularization, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020, vol. 31, no. 12, pp. 5575-5587, 2020.
Y. Jia, S. Kwong, J. Hou, W. Wu, Semi-Supervised Non-Negative Matrix Factorization with Dissimilarity and Similarity Regularization, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol. 31, no. 7, pp. 2510-2521, 2020.
Y. Jia, S. Kwong, J. Hou, Semi-Supervised Spectral Clustering with Structured Sparsity Regularization, IEEE Signal Processing Letters (IEEE SPL), vol. 25, no. 3, pp. 403-407, 2018.
Y. Jia, S. Kwong, W. Wu, R. Wang, W. Gao, Sparse Bayesian Learning Based Kernel Poisson Regression, IEEE Transactions on Cybernetics (IEEE TCyb), vol. 49, no. 1, pp. 56-68, 2019.
Y. Jia, S. Kwong, R. Wang, Applying Exponential Family Distribution to Generalized Extreme Learning Machine, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC), vol. 50, no. 5, pp. 1794-1804, 2020.
W. Wu, Y. Jia, S. Kwong, J. Hou, Pairwise Constraint Propagation Induced Symmetric Nonnegative Matrix Factorization, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol. 29, no. 12, pp. 6348-6361, 2018.
W. Gao, S. Kwong, Y. Jia, Joint Machine Learning and Game Theory for Rate Control in High Efficiency Video Coding, IEEE Transactions on Image Processing (IEEE TIP), vol. 26, no. 12, pp. 6074-6089, 2017.
J. Zhang, S. Kwong, Y. Jia, K. Wong, NSSRF: global network similarity search with subgraph signatures and its applications, Bioinformatics, vol. 33, no. 11, pp. 1696-1702, 2017.
H. Li, S. Kwong, C. Chen, Y. Jia, R. Cong, Superpixel Segmentation Based on Square-wise Asymmetric Partition and Structural Approximation, IEEE Transactions on Multimedia (IEEE TMM), vol. 21, no. 10, pp. 2625-2637, 2019.
W. Wu, S. Kwong, Y. Zhou, Y. Jia, W. Gao, Nonnegative Matrix Factorization with Mixed Hypergraph Regularization for Community Detection, Information Sciences, Vol. 435, pp. 263-281, 2018.
W. Wu, S. Kwong, J. Hou, Y. Jia, H. Ip, Simultaneous Dimensionality Reduction and Classification via Dual Embedding Regularized Nonnegative Matrix Factorization, IEEE Transactions on Image Processing (IEEE TIP), vol. 28, no. 8, pp. 3836-3847, 2019.
S. Yang, J. Hou, Y. Jia, S.Mei, Q.Du, Pseudo-Label Guided Kernel Learning for Hyper-spectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTAEORS), vol. 12, no. 3, pp. 1000-1011, 2019.

Conference Papers:
Y. Jia, H. Liu, J. Hou, Qingfu Zhang, Clustering Ensemble Meets Low-rank Tensor Approximation, AAAI, 2021.
H. Liu, Y. Jia*, J. Hou, Q. Zhang, Imbalance-aware Pairwise Constraint Propagation, ACM MM, 2019.
Y. Jia, S. Kwong, J. Hou, W. Wu, Convex Constrained Clustering with Graph-Laplacian PCA, IEEE ICME, 2018.
Y. Jia, S. Kwong, W. Wu, W. Gao, R. Wang, Generalized Relevance Vector Machine, IntelliSys, 2017.
R. Wang, S. Kwong, Y. Jia, Z. Huang, L. Wu, Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification, FUZZ-IEEE, 2018.
M. Wu, S. Kwong, Y. Jia, K. Li, Q. Zhang, Adaptive Weights Generation for Decomposition-based Multi-objective Optimization Using Gaussian Process Regression, GECCO, 2017.
W. Gao, S. Kwong, Y. Zhou, Y. Jia, et al., Multiscale Phase Congruency Analysis for Image Edge Visual Saliency Detection, ICMLC, 2016.

See the full publications on Google Scholaror my personalhomepage.

Teaching:
Graduate course
Artificial intelligence（人工智能）， 2021 Spring