学术副院长、博士生导师、国家级青年人才

研究领域：人工智能

办公室：金狮贵宾会102室

实验室：金狮贵宾会206室、第二教学楼113室

电子邮件：yanming@xju.edu.cn

联系电话：-

教育背景

1.2014/09–2019/06， 四川大学, 博士

2.2017/09–2018/10， Georgia State University， 国家公派访学

工作简历

1.2019/06–2022/03，新加坡A^*STAR，IHPC，Scientist

2.2023/03–2024/07，新加坡A^*STAR，CFAR，Scientist

3.2024/07–2025/10，新加坡A^*STAR, CFAR，Senior Scientist

4.2025/10–至今,宝武集团，金狮贵宾会，副研究员、学术副院长

学术成果

u主持项目

1.国家高层次人才计划(海外)，项目负责人，2025-11至2028-11；

2.AI驱动的维药创新药开发前导关键技术探索，天府转化基金2025ZH054，100万，项目负责人，2026年5月至2027-11；

3.Privacy⟡: Fine-Tuning Encapsulated LLMs to Downstream Tasks Without Peeking on Private Data. (课题负责人Co-PI, AISG-NMLP-2024-003，400万新币 约2000万)，2025-02至2028-10；

4.Continual and Efficient Aspect-based Sentiment Analysis in Low-resource NLP. (项目负责人PI, DSOCL22173, 120万新币 约600万)，2022-11 至 2024-11；

5.Doctor COVID:Tele-monitoring and Knowledge-based Virtual Consultation Platform for COVID-19. (课题负责人CoPI, NHIC-COV19-2005017, 约200万) ，2020-03至2021-05.

u学术论文

1.Poisoned Distillation: Injecting Backdoors into Distilled Datasets Without Raw Data Access. AAAI 2026.

2.Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization. AAAI 2026.

3.PromptGuard: Safeguarding Large Vision-Language Models via Adversarial Prompt Tuning. Knowledge-based Systems, 2026.

4.Double Banking on Knowledge: A Unified All-in-One Framework for Unpaired Multi-Modality Semi-supervised Medical Image Segmentation. IEEE TBE. 2026.

5.RoDA: Robust Domain Alignment for Cross-domain Retrieval against Label Noise. AAAI 2025.

6.SAR: Sharpness-Aware minimization for enhancing DNNs’Robustness against bit-flip errors. Journal of Systems Architecture, 2024.

7.L2A: Learning Affinity from Attentionfor Weakly Supervised Continual Semantic Segmentation. IEEE TCSVT 2024.

8.Shortcuts Arising from Contrast: Effective and Covert Clean-Label Attacks in Prompt-Based Learning. EMNLP(Main) 2024.

9.Target-Embedding Autoencoder With Knowledge Distillation for Multi-Label Classification.Y Ma, X Zou, Q Pan, M Yan, G Li. IEEE TETCI 2024.

10.Spatio-temporal fusion graph convolutional network for traffic flow forecasting. Information Fusion, 2024

11.Collaborative Knowledge Infusion for Low-resource Stance Detection. BMDA, 2024.

12.Analysis and Research on Python-Based Identification of Abnormal Commodities on E-Tailing Platforms. IEEE ICEE, 2024.

13.Ladder-of-thought: Using knowledge as steps to elevate stance detection. IJCNN. 2024.

14.DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels. AAAI 2024.

15.Spatio-temporal fusion graph convolutional network for traffic flow forecasting. Information Fusion. 2023.

16.Correspondence-free domain alignment for unsupervised cross-domain image retrieval. AAAI 2023.

17.Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study. Frontiers in public health. 2023.

18.Active learning for name entity recognition with external knowledge: Ma Y, Zhang Y, AK S.,Yan, M., Li G., and Wang T. ACM TALRLI. 2023.

19.Dark Side Avoidance of Mobile Applications with Data Biases Elimination in Socio-Cyber World. IEEE TCSS. 2023.

20.Meta-learning for compressed language model: A multiple-choice question answering study. Neurocomputing, 2022.

21.Rct: Resource constrained training for edge AI. IEEE TNNLS.2022.

22.Attention-based Local Mean K-Nearest Centroid Neighbor Classifier. ESWA, 2022.

23.Enhanced gradient learning for deep neural networks. IET IP, 2022.

24.Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things. IEEE TII, 2021.

25.A K-Nearest Centroid Neighbor with attention Classifier. ICCSAI, 2021.

26.A survey on algorithms for intelligent computing and smart city applications. BDMA, 2021

27.Efficient hyperparameter optimization in deep learning using a variable length genetic algorithm, ArXiv, 2020.

28.Multi-source meta transfer for low resource multiple-choice question answering ACL(Oral), 2020.

29.Multi‐view learning for benign epilepsy with centrotemporal spikes. IET CV, 2019.

30.A deep learning method for prediction of benign epilepsy with centrotemporal spikes. ISBRA 2018.

31.Symmetric convolutional neural network for mandible segmentation. KBS, 2018.

学术任职：