贾育衡

发布者:贾育衡发布时间:2020-11-14浏览次数:41942



Yuheng Jia(贾育衡)

Ph.D., Associate Professor 

School of Computer Science and Engineering, Southeast University

I am a member of PAttern Learning and Mining(PALM) Lab. 

Personal Homepage

贾育衡, 博士,副教授,博导,江苏省“双创博士”,东南大学“至善青年学者”、“紫金青年学者”。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)访问学者(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,主要包括半监督学习、高维数据分析与建模、张量表示与建模、图机器学习,深度学习以及在计算机视觉、高光谱表示、社区检测等方向的一些应用。在相关研究领域的国际会议和期刊上发表学术论文60余篇,其中CCF-A/IEEE Trans 论文40余篇。担任多个国际著名期刊会议的编委、程序委员会委员和审稿人。主持多项国家自然科学基金、江苏省自然科学基金等横纵向项目。


My research interests broadly include topics in machine learning and data representation, such as semi-supervised learning, high-dimensional data modeling and analysis, low-rank tensor/matrix approximation and factorization,  graph signal processing and machine learning on graphs, and deep learning as well as some related applications. I have published about 60 peer-reviewed papers in top-tier journals and conferences with respect to those topics.  I defended my thesis in Nov. 2018 and officially received the Ph.D. degree in Feb. 2019 from the Computer Science Department at the City University of Hong Kong, where I was advised by Professor Sam Kwong.


2024级硕士研究生(计算机科学与工程学院、软件学院、人工智能学院)仍有1-2个名额,欢迎报名!(2024年4月7日)(申请时请备注考研成绩等必要信息、请提供个人简历和研究计划)。本实验室以科研为导向,优先接收有读博意愿的硕士研究生。 

计划每年辅导2-3名本科生进行科研训练,欢迎有兴趣的同学随时报名!(请申请同学在申请时附上自己的简历)


研究生招生说明:

作为导师,我有以下承诺:

1我深知学生的成功就是老师的成功,我会全力帮助和指导学生进步。

2,我不会安排学生做无关的事务性工作,为学生营造良好的科研环境。

3,尽全力给予学生足够的指导时间。平均每周每生一对一的指导时间(组会、面谈、网络讨论等)不少于一小时。

4,坚持师生平等,尊重学生权利。

  

作为我的学生,希望您可以做到:

1,科研不容瑕疵。不允许任何形式的造假,剽窃等学术不端等行为。

2,科研是一个充满痛苦和惊喜的过程,兴趣和努力是克服痛苦的良药。请务必选择自己感兴趣的方向进行科研。

3,阅读是科研的不二法门,请大量阅读并按时参加组会。

4,尽管我会尽全力帮助您,但也希望您明白:达到毕业要求以取得学位是您自己的任务。所以希望您能够努力科研,有问题及时和老师沟通。

5,导师是研究生的第一负责人,任何非常规行为,请告知导师。



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


Representative Publications:

§  [TKDE] Chongjie Si; Yuheng Jia; Ran Wang; Min-Ling Zhang; Yanghe Feng; Qu Chongxiao, Multi-label Classification with High-rank and High-order Label Correlations, IEEE Transactions on Transactions on Knowledge and Data Engineering, 2023, in press. code

§  [TNNLS] Yuheng Jia; Sirui Tao; Ran Wang; Yongheng Wang, Ensemble Clustering via Co-Association Matrix Self-Enhancement, IEEE Transactions on Neural Networks and Learning Systems, 2023, in press. code

§  [TIP] Zhihao Peng; Hui Liu; Yuheng Jia; Junhui Hou, Adaptive Attribute and Structure Subspace Clustering Network, IEEE Transactions on Image Processing, 2022, 31: 3430-3439. code

§  [TCSVT] Yuheng Jia; Hui Liu; Junhui Hou; Sam Kwong; Qingfu zhang, Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 31(12): 4784-4797. code

§  [TNNLS] Yuheng Jia; Hui Liu; Junhui Hou; Sam Kwong, Pairwise Constraint Propagation with Dual Adversarial Manifold Regularization, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(12): 5575-5587. code

§  [AAAI] Yuheng Jia; Xiaorui Peng; Ran Wang; Ming-Ling Zhang, Long-tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation, AAAI Conference on Artificial Intelligence, 2024. code

§  [NeurIPS] Yuheng Jia; Fuchao Yang; Yongqiang Dong, Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage, Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, Louisiana, USA, 2023-11-28~2023-12-09. code

§  [KDD] Yuheng Jia; Chongjie Si; Min-Ling Zhang, Complementary Classifier Induced Partial Label Learning, Twenty-ninth ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, CA, USA, 2023-08-06~2023-08-10, pp. 974–983. code

§  [KDD] Yuheng Jia; Jiahao Jiang; Yongheng Wang, Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction, Twenty-ninth ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, CA, USA, 2023-08-06~2023-08-10, pp. 964–973. code

§  [ACM MM] Zhihao Peng; Hui Liu; Yuheng Jia; Junhui Hou, Attention-driven graph clustering network, ACM International Conference on Multimedia, Virtual Conference, 2021-10-20~2021-10-24, pp. 935–943. code


See the full publications on Google Scholar or my Personal Homepage.


Teaching:

Undergraduate course

Mathematical Optimization(最优化方法)

Master student course

Artificial Intelligence(人工智能)

Ph.D. student course

High-dimensional Data Analysis (高维数据分析与处理)




  • 联系方式
  • 通信地址:南京市江宁区东南大学路2号东南大学九龙湖校区计算机学院
  • 邮政编码:211189
  • ​办公地点:东南大学九龙湖校区计算机楼
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