Computer Science and Technology

Yan Yan

Ph.D

Personal Profile
Talent Training
Research Projects
Representative Achievements
Awards and Honors


Name: Yan Yan, Ph.D.

Title: Associate Professor, Master’s Supervisor

Address: Room 821A, Yifu Building, CUMTB (Beijing), China

Email: yanyan@cumtb.edu.cn

Research Interests:Artificial Intelligence, Large Language Models, Natural Language Processing, Information Retrieval, Intelligent Mine

Education Background:2011.09 - 2016.06

University of Science and Technology Beijing, Ph.D. in Computer Science and Technology

2012.09 - 2013.11

Institute of Automation, Chinese Academy of Sciences, Joint Ph.D. in CS

2013.12 - 2014.08

Rensselaer Polytechnic Institute, USA, Visiting Scholar in Computer Science and Technology

2024.06 - 2024.08

University of Aberdeen, UK, Visiting Scholar in Computer Science and Technology

Professional Experience:

2022.07 - Present

Associate Professor, School of Artificial Intelligence, CUMTB (Beijing)

2016.09 - 2022.06

Lecturer, School of Mechanical and Electrical Engineering, CUMTB (Beijing)

2016.12 - 2017.12

Trainee, Talent Center, Ministry of Science and Technology of the People's Republic of China


To Be Updated

1) National Foreign Expert Project: “Multimodal Large Model-based Diagnosis and Intelligent Early Warning for Mine Electromechanical Equipment Faults”, 2024.01–2025.12.

2) Beijing Academy of Artificial Intelligence (BAAI): “Methodology for Evaluating the Open-Source Influence of Large Model Technology Systems” (Subproject of National Key Program), 2024.10–2025.12.

3) China Academy of Information and Communications Technology: “Standard Development for Safety Compliance in Large Model Generation”, 2023.01–2023.12.

4) National High-End Foreign Expert Program: “User Review Effectiveness Analysis in Fine-Grained Scenarios”, 2022.01–2023.12.

1) Books

[1] Yan Yan. Information Retrieval and Search Engines, Tsinghua University Press, 2024(Textbook for undergraduates).

[2] Yan Yan, Xu Qian, et al. Research on Deep Learning-based Text Representation and Classification, China University of Mining and Technology Press, 2021(Monograph).

2) Journal Articles

[1] Yan Yan, Junyuan Liu, Bo-Wen Zhang. LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking, Journal of Artificial Intelligence Research, 2025, 84(14): 1-14.

[2] Yan Yan, Lin Li, Bo-Wen Zhang. SPRInT: Scaling Programatic Reasoning for INstruction Tuning in mathematics, Neurocomputing, 2025, 634(129868): 1-14.

[3] Yan Yan, Bo-Wen Zhang, Peng-hao Min, Guan-wen Ding, Jun-yuan Liu. DialGNN: Heterogeneous Graph Neural Networks for Dialogue Classification, Neural Processing Letters, 2024, 56(2): 1-21.

[4] Yan Yan, Bo-Wen Zhang, Guanwen Ding, et al. O2-BERT: two-stage target-based sentiment analysis, Cognitive Computation, 2023, 16: 158-176.

[5] Yan Yan, Bo-Wen Zhang, et al. List-wise learning to rank biomedical question-answer pairs with deep ranking recursive autoencoders[J]. PLos one, 2020, 15(11): 1-19.

[6] Yan Yan, Xu-Cheng Yin, et al. LSTM2: Multi-Label Ranking for Document Classification[J]. Neural Processing Lett, 2018, 47:117-138.

[7] Yan Yan, Xu-Cheng Yin, et al. Biomedical Literature Classification with a CNNs-Based Hybrid Learning Network[J]. Plos One, 2018,13(7): 1-31.

[8] Yan Yan, Faguo Zhou, et al. "Opinion Target: Opinion Word" Pairs Extraction Based on CRF[J]. Symmetry, 2021, 13(2):1-12.

[9] Yan Yan, Meng Yang, et al. Comparative Study on Text Classification Methods of Coal Mine Accident Case Based on FastText Network, Coal Engineering, 2021, 53(11):186-192.

3) Conference Papers

[1] Bo-Wen Zhang, Yan Yan*, Lin Li, Guang Liu. InfinityMath: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning[C]. CIKM, 2024.

[2] Yan Yan, Xu-Cheng Yin, et al. Sorting-based dynamic classifier ensemble selection[C]. International Conference on Document Analysis and Recognition (ICDAR), 2013: 673-677.

[3] Yan Yan, Xu-Cheng Yin, et al. Hybrid Deep Belief Network for Document Representation[C]. Workshop of Scalable Data Analytics: Theory Application, (WSDM), 2015.

[4] Yan Yan, Xu-Cheng Yin, et al. Multi-label Ranking with LSTM2 for Document Classification[C]. CCPR 2016: 349-363.

[5] Yan Yan, Faguo Zhou, et al. Research and Design of ACM-oriented C Language Experimental Teaching[C]. ICEBT 2021: 15-21.

To Be Updated