2024.02 至今，1946伟德国际源自英国，助理研究员、博导

工科创II-可信人工智能技术与应用实践（大二, 春季学期）

期刊论文：

[1] 黄林庆, Zhunga Liu, and Jean Dezert. Cross-domain Pattern Classification with Distribution Adaptation Based on Evidence Theory, IEEE Transactions on Cybernetics, 2023. (ESI高被引论文)

[2] 黄林庆, Wangbo Zhao, Yong Liu, Duo Yang, Alan Wee-Chung Liew, and Yang You. An Evidential Multi-target Domain Adaptation Method for Cross-domain Pattern Classification, IEEE Transactions on Neural Networks and Learning Systems, 2024.

[3] 黄林庆, Jinfu Fan, and Alan Wee-Chung Liew. Integration of Multi-kinds Imputation with Covariance Adaptation Based on Evidence Theory, IEEE Transactions on Neural Networks and Learning Systems, 2025.

[4] 黄林庆, Jinfu Fan, Shilin Wang, Kai Xu, and Yong Liu. A New Multi-target Domain Adaptation Method Based on Evidence Theory for Distribution Inconsistent Data Classification, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2025.

[5] 黄林庆, and Gongshen Liu. Convolutional Feature Aggregation Network with Self-supervised Learning and Decision Fusion for SAR Target Recognition, IEEE Transactions on Instrumentation and Measurement, 2024.

[6] 黄林庆, Jinfu Fan, Shilin Wang, and Alan Wee-Chung Liew. Multi-source Multi-target Domain Adaptation Based on Evidence Theory. IEEE Transactions on Instrumentation and Measurement, 2025.

[7] 黄林庆. Combination of Information in Labeled and Unlabeled Data via Evidence Theory, IEEE Transactions on Artificial Intelligence, 2024.

[8] 黄林庆, Zhunga Liu, Quan Pan, and Dezert Jean. Evidential Combination of Augmented Multi-source of Information Based on Domain Adaptation, Science China Information Sciences, 2020.

[9] 黄林庆, Wangbo Zhao, Alan Wee-Chung Liew, and Yang You. An Evidential Combination Method with Multicolor Spaces for Remote Sensing Image Scene Classification, Information Fusion, 2023.

[10] 黄林庆, Jinfu Fan, Shilin Wang, Gongshen Liu, and Alan Wee-Chung Liew. Incomplete Data Classification via Distribution Alignment with Evidence Combination. Machine Intelligence Research, 2025.

[11] 黄林庆, Jinfu Fan, Wangbo Zhao, and Yang You. A New Multi-source Transfer Learning Method Based on Two-stage Weighted Fusion, Knowledge-Based Systems, 2023.

[12] Zhunga Liu, 黄林庆, Kuang Zhou, and Thierry Denoeux. Combination of Transferable Classification with Multisource Domain Adaptation Based on Evidential Reasoning, IEEE Transactions on Neural Networks and Learning Systems, 2021. (ESI高被引论文)

[13] Jinfu Fan, 黄林庆, Chaoyu Gong, Yang You, Min Gan, and Zhongjie Wang. KMT-PLL: K-means Cross-attention Transformer for Partial Label Learning, IEEE Transactions on Neural Networks and Learning Systems, 2024.

[14] Zhiyong Li, 黄林庆, Tianhao Gu, Qingkai Bu, Fuyu Qi, Jinfu Fan. Partial Multi-Label Learning via K-means Graph Transformer, Knowledge-Based Systems, 2025.

[15] Ze Zhang, Yue Zhou, 黄林庆, Xue Jiang, Guozheng Xu, Xingzhao Liu. Integrating Local and Global Features via CNN and Mamba for Semi-Supervised Change Detection, IEEE Transactions on Instrumentation and Measurement, 2025

[16] Jinfu Fan, Yang Yu, 黄林庆, and Zhongjie Wang. GraphDPI: Partial Label Disambiguation by Graph Representation Learning via Mutual Information Maximization, Pattern Recognition, 2023.

[17] Zhunga Liu, Jingfei Duan, 黄林庆, Yongqiang Zhao, and Dezert Jean. Combination of Classifiers with Incomplete Frames of Discernment, Chinese Journal of Aeronautics, 2022.

[18] Mingze Jiang, Jinfu Fan, 黄林庆, Zhencun Jiang, Qingkai Bu. MDiffSR: Mutual information and diffusion model in image super-resolution, Neurocomputing, 2025.

会议论文：

[1] 黄林庆, Jinfu Fan, Shilin Wang, Gongshen Liu, and Shouxuan, Liu. Towards A Distribution Alignment Framework for Incomplete Data Classification, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.

[2] 黄林庆, Jing Zhu, Yumei Hu, Shilin Wang, Gongshen Liu, and Jinfu Fan. A New Multi-source Distributed Transfer Learning Framework, IEEE International Conference on Image Processing (ICIP), 2025.

[3] 黄林庆, Bingan Chen, Yumei Hu, Jing Zhu, Ze Zhang, Shilin Wang, and Jinfu Fan. Handcrafted and Deep Feature Aggregation Network for Identification of Real and Fake Satellite Image with Limited Data, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025.

[4] 黄林庆, Jinfu Fan, and Kai Xu. SAR Target Recognition Based on Convolutional Feature Aggregation and Decision Combination, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024.

[5] Tingxuan Gu, 黄林庆* (通讯作者), and Gongshen Liu. Graph Topology-aware Refinement Network for User Role Classification in Social Networks. IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), 2025.

[1] 复杂对抗环境下低质数据域自适应融合识别研究，上海市白玉兰人才计划-浦江项目，2024.12-2026.11，在研，主持

[2] 复杂环境下非同分布数据跨域证据融合识别研究，国家自然科学基金-青年项目，2025.01-2027.12，在研，主持

[3] 协方差对齐引导的不完整数据自适应融合识别研究，上海市“科技创新行动计划”自然科学基金-面上项目，2024.10-2027.09，在研，主持

[4] 中国石化集团共享服务有限公司南京分公司横向开发项目，2024.05-2027.01，在研，主持

[5] 1946伟德国际源自英国医工交叉研究基金，2025.01-2027.12，在研，交大方负责人

[6] 基于证据理论的数据迁移融合目标识别，西北工业大学博士论文创新基金项目（重点）， 2021.01-2022.12，结题，主持

[7] 基于迁移学习的异质遥感数据变化检测，西北工业大学研究生创新创意种子基金项目， 2018.01-2018.12，结题，主持

1. 2024 年度上海市白玉兰人才计划

2. 2023 年度西北工业大学优秀博士毕业生

3. 2020-2021 年度国家奖学金

4. 2015-2016 年度国家奖学金

5. 2014-2015 年度国家励志奖学金

6. 2013-2014 年度国家励志奖学金

1. 中国图象图形学会-数字媒体取证与安全专委会委员

2. 教育部研究生学位论文评审专家

3. 担任 IJCNN 2025 Area Chair

4. 期刊审稿人：IEEE TPAMI/TDSC/TCYB/TFS/TSMC-S/TMM/TCSVT/TAES/TIV/TETCI/MIR/KBS、电子学报、计算机工程

5. 会议审稿人：AAAI 2026、ACMMM 2025、ICASSP 2025、ICME 2025、IJCNN 2025