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严明
2025-09-16 19:21  

严明

 

副研究员、博士、硕士生导师、国家青年人才

研究领域:人工智能;机器智能

办公室&实验室:2号教学楼113

电子邮件:yanmingtop@gmail.com

联系电话:15680866996

教育背景

1.2014/092019/06,四川大学,工学博士

2.2017/092018/10,Georgia State University,国家公派访学

工作简历

1.2019/062023/12,新加坡科技研究局,高性能研究所,研究员

2.2023/03–2024/07,新加坡科技研究局,先进AI中心,研究员

3.2024/07–2025/09,新加坡科技研究局,先进AI中心,高级研究员

4.2025/10 至今 js3845金沙线路,js3845金沙线路,副研究员

学术成果

u主持项目

1.国家高层次人才(海外)项目,2025-11至2028-11;

2.Privacy⟡: Fine-Tuning Encapsulated LLMs to Downstream Tasks Without Peeking on Private Data. (Co-PI, AISG-NMLP-2024-003)2025-02 至 2025-10;

3.Continual and Efficient Aspect-based Sentiment Analysis in Low-resource NLP. (PI, DSOCL22173),2022-11 至 2024-11;

4.Doctor COVID:Tele-monitoring and Knowledge-based Virtual Consultation Platform for COVID-19. (CoPI, NHIC-COV19-2005017) 2020-03 2021-05.

u学术论文

1.RoDA: Robust Domain Alignment for Cross-domain Retrieval against Label Noise: Ziniu Yin, Yanglin Feng, Ming YAN, Xiaomin Song, Dezhong Peng, Xu Wang AAAI, 2025.

2.SAR: Sharpness-Aware minimization for enhancing DNNs’Robustness against bit-flip errors. Changbao Zhou, Jiawei Du, M Yan, Hengshan Yue, Xiaohui Wei, Joey Tianyi Zhou. Journal of Systems Architecture, 2024.

3.Trustworthy Hate Speech Detection Through Visual Augmentation: Ziyuan Yang, M Yan, Yingyu Chen, Hui Wang, Zexin Lu, Yi Zhang. ArXiv, 2024.

4.L2A: Learning Affinity from Attentionfor Weakly Supervised Continual Semantic Segmentation: Hao Liu, M Yan, Yong Zhou, Bing Liu and Joey Tianyi Zhou. IEEE Transactions on Circuits and Systems for Video Technology, 2024.

5.The passive optimization mechanism of winter thermal performance in commercial complex based on coupled multi-spatial parameters. L Ren, G Qu, G Liu, Z Liu, Y Zhang, M Yan. Journal of Building Engineering, 2024.

6.Cross-physical field prediction method for smoke field distribution in commercial building fire based on distributed optical fiber sensor. L Wang, H Lu, G Qu, L Ren, Z Xu, G Liu,M Yan, Z Liu. Journal of Building Engineering, 2024.

7.Shortcuts Arising from Contrast: Effective and Covert Clean-Label Attacks in Prompt-Based Learning. X Xie, M Yan, X Zhou, C Zhao, S Wang, Y Zhang, JT Zhou. EMNLP main 2024.

8.Adaptive Feature Fusion Neural Network for Glaucoma Segmentation on Unseen Fundus Images. J Zhong, H Ke, M Yan. ArXiv.

9.Target-Embedding Autoencoder With Knowledge Distillation for Multi-Label Classification.Y Ma, X Zou, Q Pan, M Yan, G Li. IEEE Transactions on Emerging Topics in Computational Intelligence 2024.

10.Spatio-temporal fusion graph convolutional network for traffic flow forecasting. Y Ma, H Lou, M Yan, F Sun, G Li. Information Fusion, 2024

11.Collaborative Knowledge Infusion for Low-resource Stance Detection. M Yan, JT Zhou, IW Tsang. Big Data Mining and Analytics, 682 - 698, 2024.

12.Analysis and Research on Python-Based Identification of Abnormal Commodities on E-Tailing Platforms. Z Tian, M Yan, X Ma, N Duan, X Wang, IEEE 3rd International Conference on Electrical Engineering, 2024.

13.Physics-informed Neural Networks for Solving High-index Differential-algebraic Equation Systems Based on Radau Methods. J Chen, J Tang, M Yan, S Lai, K Liang, J Lu, W Yang, International Journal of Intelligent Systems, 2024.

14.The passive optimization mechanism of winter thermal performance in commercial complex based on coupled multi-spatial parameters. Q Guanhua, L Ren, G Liu, Z Liu, Y Zhang, M Yan. Energy & Buildings, 2024.

15.Knowledge Infusion for Low-resource Stance Detection: Yan, M., Joey Z., and Ivor T. Big Data Mining and Analytics. 2024.

16.Ladder-of-thought: Using knowledge as steps to elevate stance detection.: Hu K. Yan, M. ,Wen H., Yong Y., Guan C., Joey Z., and Ivor T. IEEE World Congress on Computational Intelligence (WCCI). 2024.

17.The best college classroom light environments have changed: Attributed to the public health issue of decreased sensitivity to students’eyesight: Qu G., Ren L., Liu G, Zhang Y., Lau SK., Zhan M., Yan, M.. Energy and uildings. 2024.

18.Target-Embedding Autoencoder With Knowledge Distillation for Multi-Label Classification: Ma Y., Zou X., Pan Q, and Yan, M., and Li G. Energy and Buildings. 2024.

19.DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels: Liu H., Ma Y., Yan, M., Chen Y., Peng D. and Wang X. Association for the Advancement of Artificial Intelligence (AAAI). 2024.

20.Spatio-temporal fusion graph convolutional network for traffic flow forecasting: Ma Y., Lou H., Yan, M., Sun F., and Li G. Information Fusion. 2023.

21.Correspondence-free domain alignment for unsupervised cross-domain image retrieval: Wang X., Peng D., Yan, M., and Hu P. Association for the Advancement of Artificial Intelligence (AAAI). 2023.

22.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: Yang L, Wang NG, Lei X., Tan S., Wang Z., Yan, M., et.al. Frontiers in public health. 2023.

23.Active learning for name entity recognition with external knowledge: Ma Y, Zhang Y, AK S.,Yan, M., Li G., and Wang T. ACM Transactions on Asian and Low-Resource Language Information Processing. 2023.

24.Dark Side Avoidance of Mobile Applications with Data Biases Elimination in Socio-Cyber World: Ma Y, Yu C.,Yan, M., Li G., and Wang T. IEEE Transactions on Computational Social Systems. 2023.

25.Meta-learning for compressed language model: A multiple-choice question answering study: Yan, M., and Pan,Y. Neurocomputing (487),181-189, 2022.

26.Rct: Resource constrained training for edge AI: Huang, T., Luo, T., Yan, M., Zhou, J. T., Goh, R. IEEE Transactions on Neural Networks and Learning Systems. Attention-based Local Mean K-Nearest Centroid Neighbor Classifier: Ma Y., Huang R., Yan M., Li G., Wang T. Expert Systems with Applications (201). 2022.

27.Semi-supervised partial label learning algorithm via reliable label propagation: Chen D, Ma Y., Wang T., Li G., Yan M. Applied Intelligence. 2022.

28.Enhanced gradient learning for deep neural networks: IET Image Processing (16), 365-377, 2022.

29.Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things: Yan M, Chen C., Du J., Peng X., Zhou J., Zeng Z. IEEE Transactions on Industrial Informatics (18), 3349-3357, 2021.

30.Analysis and Prediction of Host Resource Load in the Cloud: Zhu J., Deng L., Liang H., Yan M.. Journal of Chinese Computer Systems (12), 2538-2544,  2021.

31.A K-Nearest Centroid Neighbor with attention Classifier: Huang R., Ma, Y., Wang T, Li G., Yan M.. International Conference on Computer Science and Artificial Intelligence , 156-161, 2021.

32.A survey on algorithms for intelligent computing and smart city applications: Tong Z., Ye F, Yan M., Liu H., Basodi S. Big Data Mining and Analytics (4), 155-172., 2021

33.Efficient hyperparameter optimization in deep learning using a variable length genetic algorithm: Xiao X, Yan M., Basodi S., Ji C, Pan Y., arXiv, 2020.

34.Multi-source meta transfer for low resource multiple-choice question answering: Yan M., Zhang H, Jin D., Zhou. J. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 7331-7341, 2020.

35.Multi‐view learning for benign epilepsy with centrotemporal spikes: Yan, M., Liu L, Basodi S, Pan Y. IET Computer Vision (13), 109-116, 2019.

36.A deep learning method for prediction of benign epilepsy with centrotemporal spikes: Yan M., Liu L, Chen S., Pan Y. International Symposium on Bioinformatics Research and Applications, 253-258, 2018.

37.Symmetric convolutional neural network for mandible segmentation: Yan M., Guo J., Tian W., Yi Z. Knowledge-Based Systems (159). 63-71, 2018.

学术任职:

1.青年副主编,Big Data Mining and Analytics,中科院一区;

2.客座主编, Mathematics. 中科院三区;

3.客座主编,CMC-Computers, Materials & Continua. 中科院四区;

4.期刊编委,Computer Science and Technology,ISSN: 2996-2064;

5.期刊青年编委,Allergy-Medicine, ISSN: 2949-9135;

6.大会程序主席,EAI International Conference on IoT as a Service 2025,EI;

7.大会领域主席,ACL 2025 国际自然语言处理顶会, 澳大利亚;

8.大会领域主席,IJCNN 2025 国际神经网络顶会, 意大利;

9.程序委员会委员,AAAI 2025,AAAI 2026 国际人工智能顶会.

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