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張佳，暨南大學(xué)信息科學(xué)技術(shù)學(xué)院講師，碩導(dǎo)。于2020年6月獲廈門(mén)大學(xué)人工智能系博士學(xué)位，師從李紹滋教授。博士畢業(yè)后，加入暨南大學(xué)信息科學(xué)技術(shù)學(xué)院從事教學(xué)科研工作。研究方向?yàn)闄C(jī)器學(xué)習(xí)，數(shù)據(jù)挖掘，智能人機(jī)交互。主持國(guó)家自然科學(xué)基金1項(xiàng)、廣東省面上項(xiàng)目1項(xiàng)，廣州市科技計(jì)劃項(xiàng)目1項(xiàng)，并參與了多項(xiàng)國(guó)家級(jí)/省部級(jí)課題研究，包括：國(guó)家重點(diǎn)研發(fā)計(jì)劃子課題，國(guó)家自然科學(xué)基金聯(lián)合基金重點(diǎn)項(xiàng)目，廣東省基礎(chǔ)與應(yīng)用基礎(chǔ)研究基金重點(diǎn)項(xiàng)目等。在人工智能?chē)?guó)際權(quán)威期刊：IEEE TCYB、IEEE TNNLS、IEEE TPAMI、PR；腦科學(xué)國(guó)際權(quán)威期刊：IEEE TNSRE、JNE；及國(guó)際頂會(huì)：IJCAI等發(fā)表學(xué)術(shù)論文50余篇，其中SCI收錄40余篇，ESI高被引論文4篇。據(jù) Google Scholar 統(tǒng)計(jì)，論文被引用次數(shù)超1400次，第一作者單篇最高引用247次?，F(xiàn)為IEEE會(huì)員（2023-），CCF專(zhuān)業(yè)會(huì)員（2020-），CCF人工智能與模式識(shí)別專(zhuān)委會(huì)委員，CCF協(xié)同計(jì)算專(zhuān)委會(huì)執(zhí)委；擔(dān)任國(guó)家自然科學(xué)基金評(píng)議專(zhuān)家，廣州市科技局入庫(kù)專(zhuān)家；擔(dān)任TPAMI、TKDE、TCYB、TNNLS、TBD等IEEE匯刊、TKDD、PR、KAIS、INS等國(guó)際權(quán)威期刊的審稿人，AAAI、IJCNN等國(guó)際知名會(huì)議的程序委員會(huì)委員。

聯(lián)系郵箱：jiazhang@jnu.edu.cn

通訊地址: 廣東省廣州市天河區(qū)黃埔大道西601號(hào)暨南大學(xué)（石牌校區(qū)）南海樓615室

研究方向是機(jī)器學(xué)習(xí)和數(shù)據(jù)挖掘。研究側(cè)重點(diǎn)是多標(biāo)記學(xué)習(xí)、弱標(biāo)記學(xué)習(xí)、特征選擇、以及信息融合。本人也對(duì)機(jī)器學(xué)習(xí)在人機(jī)交互、健康管理、以及生物信息學(xué)中的應(yīng)用感興趣。有志于未來(lái)從事相關(guān)研究的碩士研究生和保研本科生可與我郵件聯(lián)系。

[1] Li, Y., et al. “Consistent and specific multi-view multi-label learning with correlation information.” Information Sciences, 2025, 687: 121395.

[2] Zhang, J., et al. “Toward cross-brain-computer interface: A prototype-supervised adversarial transfer learning approach with multiple sources.” IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-13.

[3] Zhang, J., et al. “Fast multilabel feature selection via global relevance and redundancy optimization.” IEEE Transactions on Neural Networks and Learning Systems, 2024, 35 (4): 5721-5734.

[4] Du, G., et al. “Semi-supervised imbalanced multi-label classification with label propagation.” Pattern Recognition, 2024, 150: 110358.

[5] Wu, H., et al. “Simplicial complex neural networks.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46 (1): 561-575.

[6] Zhang, J., et al. “Group-preserving label-specific feature selection for multi-label learning.” Expert Systems with Applications, 2023, 213: 118861. 

[7] Liu, D., et al. “Multi-source transfer learning for EEG classification based on domain adversarial neural network.” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31: 218-228.

[8] Du, G., et al. “Graph-based class-imbalance learning with label enhancement.” IEEE Transactions on Neural Networks and Learning Systems, 2023, 34 (9): 6081-6095.

[9] Zhang, J., et al. “Learning from weakly labeled data based on manifold regularized sparse model.” IEEE Transactions on Cybernetics, 2022, 52 (5): 3841-3854.

[10] Huang, Z.-A., et al. “Identification of autistic risk candidate genes and toxic chemicals via multi-label learning.” IEEE Transactions on Neural Networks and Learning Systems, 2021, 32 (9): 3971-3984.

[11] Zhang, J., et al. “Multi-label feature selection via global relevance and redundancy optimization.” In IJCAI, Yokohama, Japan, 2020, pp. 2512–2518. 

[12] Zhang, J., et al. “Manifold regularized discriminative feature selection for multi-label learning.” Pattern Recognition, 2019, 95: 136-150.

[1] 國(guó)家自然科學(xué)基金青年科學(xué)基金項(xiàng)目: 基于超高維標(biāo)記與特征數(shù)據(jù)的多標(biāo)記分類(lèi)建模關(guān)鍵技術(shù)研究 (2022-2024), 62106084, PI

[2] 廣東省自然科學(xué)基金面上項(xiàng)目: 融合多模態(tài)數(shù)據(jù)的弱監(jiān)督多標(biāo)記分類(lèi)學(xué)習(xí)關(guān)鍵技術(shù)研究 (2022-2024), 2022A1515010468, PI

[1] 人工智能導(dǎo)論（本科課程，暨大通識(shí)課），秋季學(xué)期，2024

[2] 人工智能原理（本科課程），秋季學(xué)期，2021，2022，2023，2024

[3] 軟件系統(tǒng)分析（本科課程），秋季學(xué)期，2022，2023，2024

[4] 軟件系統(tǒng)分析實(shí)驗(yàn)（本科課程），秋季學(xué)期，2022，2023，2024

[5] 計(jì)算機(jī)文化（本科課程，英語(yǔ)授課），秋季學(xué)期，2021

期刊審稿：

Artificial Intelligence: IEEE Transactions on Pattern Analysis and Machine Intelligence; IEEE Transactions on Cybernetics; IEEE Transactions on Evolutionary Computation; IEEE Transactions on Neural Networks and Learning Systems; IEEE Transactions on Emerging Topics in Computational Intelligence; IEEE Transactions on Artificial Intelligence; Pattern Recognition; Neural Networks…
Data Mining: IEEE Transactions on Knowledge and Data Engineering; ACM Transactions on Knowledge Discovery from Data; Knowledge and Information Systems; IEEE Transactions on Big Data; Information Sciences…
Other Fields: IEEE Transactions on Multimedia; IEEE Transactions on Circuits and Systems for Video Technology; IEEE Journal of Biomedical and Health Informatics; IEEE Transactions on Industrial Informatics…

Program Committee: AAAI；IJCNN...

I am now a lecturer at the College of Information Science and Technology, Jinan University. I received the Ph.D. degree from the School of Informatics, Xiamen University, Xiamen, China, in 2020, supervised by Prof. Shaozi Li. I was a visiting student at the City University of Hong Kong, supervised by Prof. Kay Chen Tan.

My research interests include machine learning and data mining. In particular, I am interested in multi-label learning, weak label learning, feature selection, and information fusion. I am also interested in various machine learning applications in health care, bioinformatics, and brain-computer interactions. I have published over 50 academic papers in some prestigious journals and conferences, such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Pattern Recognition, and IJCAI.