About me
I’m a Research Assistant Professor (PhD Advisor) in School of Computer Science at Shanghai Jiao Tong University (SJTU), and a member of AI and Cognization Security Lab.
I’m actively looking for a few undergrad students to work together. Please feel free to drop me an email with your CV if you are interested!
Personal homepage in Chinese:https://infosec.sjtu.edu.cn/DirectoryDetail.aspx?id=185
目前有一个2026年入学的硕士研究生名额,如果对我的研究课题感兴趣,请提前联系我!
特别欢迎有理想、有学术追求的同学来课题组读研究生,本科期间获得过数学建模、数学竞赛、ACM程序设计大赛等竞赛奖项、发表过学术论文的同学将优先考虑。
希望你:不甘平凡、不骄不躁;有责任担当、执行力强、喜欢钻研;在编程、数学与英语等方面具备扎实的基础。
课题组全年招收本科生开展研究(PRP、大创等),特别欢迎成绩名列前茅、学有余力、立志从事科研、将来打算保研或到海外深造的同学加入。
News
- 2025.05: One paper is accpeted by TIM, congratulations to Ze Zhang.
- 2025.05: One paper is accepted by MIR.
- 2025.04: Our team set up the “AI and Cognization Security Lab” led by Prof. Xinghao Jiang (Vice President of Shanghai Jiao Tong University)
- 2025.03: One paper is accepted by ICME 2025.
- 2025.03: One paper is accepted by IEEE TIM.
- 2025.02: One paper is accepted by IEEE TSMC-S.
- 2025.01: I serve as an Area Chair for IJCNN 2025.
- 2024.12: I am Selected for Pujiang Project of Shanghai Magnolia Talent Program.
- 2024.12: One paper is accepted by ICASSP 2025.
- 2024.10: I receive funding from Science and Technology Commission of Shanghai Municipality.
- 2024.08: I receive funding from National Natural Science Foundation of China.
- 2024.07: One paper is accepted by IEEE TIM.
- 2024.06: One paper is accepted by IEEE TNNLS.
- 2024.06: I become a reviewer of journal IEEE TPAMI.
- 2024.02: I join the “AI Security Lab” led by Prof. Gongshen Liu.
- 2024.01: One paper is selected as ESI highly cited paper.
- 2023.12: One paper is accepted by IEEE TNNLS.
- 2023.09: One paper is accepted by IEEE TAI.
- 2023.05: One paper is accepted by IEEE TNNLS.
- 2022.12: One paper is accepted by Information Fusion.
Research Interests
- Low-quality Data Mining and Learning;
- Remote Sensing Image Understanding;
- Artificial Intelligence Security.
Work Experience
- 2025.05 –, School of Computer Science at Shanghai Jiao Tong University, Reasearch Assistant Professor (PhD Advisor).
- 2024.02 – 2025.05, School of Electronic Information and Electrical Engineering at Shanghai Jiao Tong University, Reasearch Assistant Professor (Master’s Advisor).
Research Experience
- 2022.07 – 2023.07, School of Computing (SoC) at National University of Singapore (NUS), Visiting Scholar.
Selected Publications
- [IEEE TCYB] Linqing Huang, Zhun-ga Liu, and Dezert Jean. Cross-domain Pattern Classification with Distribution Adaptation Based on Evidence Theory. IEEE Transactions on Cybernetics (2024-IF: 10.5), 2023. [PDF], [ESI Highly Cited Paper (2023 May/Jun, Jul/Aug, Sep/Oct, Nov/Dec; 2024 Jan/Feb)]
- [IEEE TNNLS] Linqing Huang, Wangbo Zhao, Yong Liu, Duo Yang, Alan Wee-Chung Liew, and Yang You. An Evidential Multi-target Domain Adaptation Method Based on Weighted Fusion for Cross-domain Pattern Classification. IEEE Transactions on Neural Networks and Learning Systems (2024-IF: 8.9), 2023. [PDF]
- [IEEE TNNLS] Linqing Huang, 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 (2024-IF: 8.9), 2024. [PDF]
- [IEEE TSMC-S] Linqing Huang, 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 (2024-IF: 8.7), 2025. [PDF]
- [IEEE TIM] Linqing Huang, 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-IF: 5.9), 2024. [PDF]
- [IEEE TIM] Linqing Huang, 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 (2024-IF: 5.9), 2025. [PDF]
- [IEEE TAI] Linqing Huang. Combination of Information in Labeled and Unlabeled Data via Evidence Theory. IEEE Transactions on Artificial Intelligence, 2024. [PDF]
- [INFFUS] Linqing Huang, Wangbo Zhao, Alan Wee-Chung Liew, and Yang You. An Evidential Combination Method with Multi-color Spaces for Remote Sensing Image Scene Classification. Information Fusion (2024-IF: 15.5), 2023. [PDF]
- [SCIS] Linqing Huang, zhun-ga Liu, Quan Pan, and Dezert Jean. Evidential Combination of Augmented Multi-source of Information Based on Domain Adaptation. SCIENCE CHINA-Information Sciences (2024-IF: 7.6, CCF-A), 2020. [PDF]
- [MIR] Linqing Huang, Jinfu Fan, Shilin Wang, Gongshen Liu, and Alan Wee-Chung Liew. Incomplete Data Classification via Distribution Alignment with Evidence Combination. Machine Intelligence Research (2024-IF: 8.7), 2025.
- [KBS] Linqing Huang, Jinfu Fan, Wangbo Zhao, and Yang You. A New Multi-source Transfer Learning Method Based on Two-stage Weighted Fusion. Knowledge-Based Systems (2024-IF: 7.6), 2023. [PDF]
- [IEEE TNNLS] Zhunga Liu, Linqing Huang, Kuang Zhou, and Thierry Denoeux. Combination of Transferable Classification with Multi-source Domain Adaptation Based on Evidential Reasoning. IEEE Transactions on Neural Networks and Learning Systems (2024-IF: 8.9), 2021. [PDF], [ESI Highly Cited Paper (2021 Nov/Dec)]
- [IEEE TNNLS] Jinfu Fan, Linqing Huang, 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-IF: 8.9), 2024. [PDF]
- [KBS] Zhiyong Li, Linqing Huang, Tianhao Gu, Qingkai Bu, Fuyu Qi, Jinfu Fan. Partial Multi-Label Learning via K-means Graph Transformer. Knowledge-Based Systems (2024-IF: 7.6), 2025.
- [IEEE TIM] Ze Zhang, Yue Zhou, Linqing Huang, 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 (2024-IF: 5.9), 2025. [PDF]
- [PR] Jinfu Fan, Yang Yu, Linqing Huang, and Zhongjie Wang. GraphDPI: Partial Label Disambiguation by Graph Representation Learning via Mutual Information Maximization. Pattern Recognition (2024-IF: 7.6), 2023. [PDF]
- [CJA] Zhunga Liu, Jingfei Duan, Linqing Huang, Jean DEZERT, and Yongqiang Zhao. Combination of Classifiers with Incomplete Frames of Discernment. Chinese Journal of Aeronautics (2024-IF: 5.7), 2022. [PDF]
- [NEUCOM] Mingze Jiang, Jinfu Fan, Linqing Huang, Zhencun Jiang, Qingkai Bu. MDiffSR: Mutual information and diffusion model in image super-resolution. Neurocomputing (2024-IF: 6.5), 2025. [PDF]
- [ICASSP 2025] Linqing Huang, Jinfu Fan, Shi-Lin Wang, Gongshen Liu, and Shouxuan Liu. Towards A Distribution Alignment Framework for Incomplete Data Classification. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2025. [PDF]
- [ICME 2025] Jinfu Fan, Lijiang Nan, Ruihan Wang, and Linqing Huang* (Corresponding author). Learning Discriminative Label Embeddings for Multi-Label Learning with Ambiguous Labels. IEEE International Conference on Multimedia and Expo, 2025.
- [ICIP 2025] Linqing Huang, 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, 2025.
- [IEEE SMC 2025] Tingxuan Gu, Linqing Huang* (Corresponding author), and Gongshen Liu. Graph Topology-aware Refinement Network for User Role Classification in Social Networks. IEEE International Conference on Systems, Man, and Cybernetics, 2025.
- [IGARSS 2024] Linqing Huang, Jinfu Fan, and Kai Xu. SAR Target Recognition Based on Convolutional Feature Aggregation and Decision Combination. IEEE International Geoscience and Remote Sensing Symposium, 2024. [PDF]
- [IGARSS 2025] Linqing Huang, 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, 2025.
In Peer Review
- DJCA
- RMST
- PML-TF
- PLZSL
- CLIP-PZSL
Selected Honors
- China National Scholarship for Graduate, Ministry of Education of P.R. China, 2021. (The highest level of scholarship for graduate set by the government of China)
- China National Scholarship for Undergraduate, Ministry of Education of P.R. China, 2016. (The highest level of scholarship for undergraduate set by the government of China)
- National Encouragement Scholarship for Undergraduate, Education Department of Henan Province, 2015.
- National Encouragement Scholarship for Undergraduate, Education Department of Henan Province, 2014.
Academic Services
Area Chair of conferences:
- International Joint Conference on Neural Networks (IJCNN) 2025.
Reviewer of journals:
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Dependable and Secure Computing (TDSC)
- IEEE Transactions on Cybernetics (TCYB)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Fuzzy Systems (TFS)
- IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMC-S)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- IEEE Transactions on Intelligent Vehicles (TIV)
- IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I)
- IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
- Machine Intelligence Research (MIR)
- etc
Reviewer of conferences:
- ACMMM 2025
- ICASSP 2025
- ICME 2025
- IJCNN 2025
Group
Master Students:
- Xinwei Zhu (Incoming master student), 2025.09-
- Zining Lu (Incoming master student, co-supervised with Pro. Gongshen Liu), 2025.09-
- Tingxuan Gu (IEEE SMC 2025, ), 2024.09-