Basic Information

Name: Yan Yan, Ph.D., Associate Professor, Master's Supervisor
Contact Address: Room 821A, Yifu Building, China University of Mining and Technology, Beijing
Email: yanyan@cumtb.edu.cn
Primary Research Interests: Large Language Model，Natural Language Processing, Artificial Intelligence, Machine Learning, Information Retrieval, Biomedical Applications

1. Educational Background

· 2011.09 - 2016.06: Beijing University of Science and Technology, Ph.D. in Computer Science and Technology

· 2013.12 - 2014.08: Rensselaer Polytechnic Institute (RPI), Visiting Scholar in Computer Science and Technology

· 2012.09 - 2013.11: Institute of Automation, Chinese Academy of Sciences, Joint Training in Computer Science and Technology

2. Work Experience

· 2022.07 - Present: Associate Professor, School of Artificial Intelligence, China University of Mining and Technology, Beijing

· 2016.09 - 2022.06: Lecturer, School of Mechanical, Electrical, and Information Engineering, China University of Mining and Technology, Beijing

· 2016.12 - 2017.12: Secondment, Talent Center of the Ministry of Science and Technology, People's Republic of China

Courses Taught:

· "C Programming Language"

· "Information Processing and Search Engines"

· "Discrete Mathematics"

· "Fundamentals of Computer Software Technology"

3. Research Projects

1. Research on Fine-Grained Scene-Based User Review Validity Analysis, Ministry of Science and Technology, 2022.01–2023.12, Principal Investigator, Ongoing

2. User-Friendly and Deep Video Coding, National Key International Cooperation Project of Natural Science Foundation, Participant, Ongoing

3. Research on Online Eye Movement Tracking for Mobile Devices, China Academy of Information and Communications Technology, 2021.05–2021.08, Principal Investigator, Completed

4. Research on Millimeter-Wave Electromagnetic Propagation Characteristics and MIMO Features, China Academy of Information and Communications Technology, 2020.01–2021.01, Principal Investigator, Completed

5. Accuracy Verification of Liver Tissue Dielectric Parameter Testing System, China Academy of Information and Communications Technology, 2020.01–2020.12, Principal Investigator, Completed

4. Representative Academic Achievements

Journal Articles:

1. Yan Yan, Bo-Wen Zhang, et al. O²-Bert: Two-Stage Target-Based Sentiment Analysis [J]. Cognitive Computation, 2023, 1-19.

2. 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(143): 1-18.

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

4. 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.

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

7. Yan Yan, Xu-Cheng Yin, et al. Semantic Indexing with Deep Learning: A Case Study [J]. Big Data Analytics, 2016, 1:7.

8. Yan Yan, Xu-Cheng Yin, et al. Learning Document Semantic Representation with Hybrid Deep Belief Network [J]. Computational Intelligence and Neuroscience, 2015.

Conference Papers:

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

2. Bo-Wen Zhang, Yan Yan, et al. Contrastive Learning of Sentence Embeddings in Product Search [C]. ICASSP, 2023.

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

4. Yan Yan, Xu-Cheng Yin, et al. Hybrid Deep Belief Network for Document Representation [C]. Workshop on Scalable Data Analytics: Theory Application (WSDM’15), 2015.

5. Yan Yan, Xu-Cheng Yin, et al. Sorting-Based Dynamic Classifier Ensemble Selection [C]. Document Analysis and Recognition (ICDAR), 2013: 673-677.

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

Books and Patents

Books:

1. Yan Yan, Xiaojuan Ban. Information Retrieval and Search Engines, 2024, Tsinghua University Press (Textbook).

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

Patents:

1. Yan Yan, Tiancheng Li, Bowan Zhang, Wenjie Li. Construction Method for Recommendation-Based Event Detection Model and Its Application, August 4, 2023 (Invention Patent).

2. Yan Yan, Guanwen Ding, Jiajing Li. Attention-Mechanism-Based User Review Validity Analysis Method, January 6, 2023 (Invention Patent).

3. Yan Yan, Faguo Zhou, Xiaoxiao Zhang. Fine-Grained Sentiment Analysis Method, February 11, 2022 (Invention Patent).

4. Yan Yan, Xufeng Li, Xiaoxiao Zhang. Q&A Pair Sorting Method for Q&A Systems, March 9, 2021 (Invention Patent).