Yuheng Jia(賈育衡)
Ph.D., Associate Professor
School of Computer Science and Engineering, Southeast University
I am a member of PAttern Learning and Mining(PALM) Lab.
賈育衡, 博士，副教授，博導，江蘇省“雙創博士”，bet356手机版唯一官网“至善青年學者”、“紫金青年學者”。2019年獲得香港城市大學(CityU)博士學位，2019-2020年任香港城市大學博士後研究員。 導師為Sam Kwong 講席教授。2020年起在bet356手机版唯一官网登录任職副教授。現為bet356手机版唯一官网PALM實驗室成員。曾任斯坦福大學（Stanford University）訪問學者（2018年）。研究内容廣泛涉及機器學習和數據表示的多個子領域，主要包括半監督學習、高維數據分析與建模、張量表示與建模、圖機器學習，深度學習以及在計算機視覺、高光譜表示、社區檢測等方向的一些應用。在相關研究領域的國際會議和期刊上發表學術論文60餘篇，其中CCF-A/IEEE Trans 論文40餘篇。擔任多個國際著名期刊會議的編委、程序委員會委員和審稿人。主持多項國家自然科學基金、江蘇省自然科學基金等橫縱向項目。
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級碩士研究生仍有2個左右名額，歡迎報名！（2024年2月11日）（申請時請備注考研成績、請提供個人簡曆和研究計劃）。本實驗室以科研為導向，優先接收有讀博意願的碩士研究生。
2024年招收bet356手机版唯一官网-蒙納士聯合研究生院碩士研究生一名，歡迎申請！（2024年1月14日）
計劃每年輔導2-3名本科生進行科研訓練，歡迎有興趣的同學随時報名！（請申請同學在申請時附上自己的簡曆）
研究生招生說明：
作為導師，我有以下承諾：
1，我深知學生的成功就是老師的成功，我會全力幫助和指導學生進步。
2，我不會安排學生做無關的事務性工作，為學生營造良好的科研環境。
3，盡全力給予學生足夠的指導時間。平均每周每生一對一的指導時間（組會、面談、網絡讨論等）不少于一小時。
4，堅持師生平等，尊重學生權利。
作為我的學生，希望您可以做到:
1，科研不容瑕疵。不允許任何形式的造假，剽竊等學術不端等行為。
2，科研是一個充滿痛苦和驚喜的過程，興趣和努力是克服痛苦的良藥。請務必選擇自己感興趣的方向進行科研。
3，閱讀是科研的不二法門，請大量閱讀并按時參加組會。
4，盡管我會盡全力幫助您，但也希望您明白：達到畢業要求以取得學位是您自己的任務。所以希望您能夠努力科研，有問題及時和老師溝通。
5，導師是研究生的第一負責人，任何非常規行為，請告知導師。
Contact Information:
Office: Room 230, School of Computer Science and Engineering, Southeast University Jiulonghu Campus, Nanjing, Jiangsu, China. (bet356手机版唯一官网九龍湖校區，計算機樓，230房間)
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（最優化方法）
Master student course
Artificial Intelligence（人工智能）
Ph.D. student course
High-dimensional Data Analysis （高維數據分析與處理）