😊 About Me
Greetings, I am currently pursuing a Master’s degree at the University of Electronic Science and Technology of China, with an anticipated graduation date of June 2026. My research focuses on the fields of time series analysis, statistical physics, information theory, and evidence theory. I am deeply passionate about exploring the intersections within these disciplines and addressing the complex challenges they present.
I am actively seeking a fully-funded Ph.D. position in Computer Science, where I hope to join a vibrant research community and collaborate with like-minded scholars in pushing the boundaries of scientific knowledge. If my research interests align with yours, or if you see potential for a research collaboration, please feel free to reach out to me via email.
I look forward to connecting with you and am excited about the prospect of collectively advancing the field of science.
📖 Educations
- 2023.09 - 2026.06 (now), Master’s Degree, University of Electronic Science and Technology of China, Computer Science.
- 2019.09 - 2023.06, Bachelor‘s Degree, Southwest University (China), Software Engineering
💻 Internships
- 2025.07 - Now, PyPOTS, Research Fellow.
- 2024.10 - Now, Griffith University, Research Intern.
- 2024.04 - 2025.06, PyPOTS, Community Scholars.
- 2024.03 - Now, University of Macau, Research Intern.
- 2022.09 - Now, Chongqing University, Research Intern.
📝 Publications
😘 Selected Publications
Time evidence fusion network: Multi-source view in long-term time series forecasting
Tianxiang Zhan, Yuanpeng He, Yong Deng, Zhen Li, Wenjie Du, and Qingsong Wen.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2025).
Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting
Tianxiang Zhan, Ming Jin, Yuanpeng He, Yuxuan Liang, Yong Deng, and Shirui Pan.
arXiv preprint arXiv:2506.14790 (2025).
Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He, Lijian Li, Tianxiang Zhan, Chi-Man Pun, Wenpin Jiao, and Zhi Jin.
In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2, pp. 908-919. 2025.
Generalized information entropy and generalized information dimension
Tianxiang Zhan, Jiefeng Zhou, Zhen Li, and Yong Deng.
Chaos, Solitons & Fractals 184 (2024): 114976.
Differential convolutional fuzzy time series forecasting
Tianxiang Zhan, Yuanpeng He, Yong Deng, and Zhen Li.
IEEE Transactions on Fuzzy Systems 32, no. 3 (2023): 831-845.
😁 Other Publications
Transfer Graph in the Context of Evidence Theory, Tianxiang Zhan, Qianli Zhou, Yuanpeng He, and Yong Deng.
Variance of belief information, Xingyuan Chen, Tianxiang Zhan, Guohui Zhou, and Yong Deng.
Learnable wsn deployment of evidential collaborative sensing model, Ruijie Liu, Tianxiang Zhan, Zhen Li, and Yong Deng.
Co-evidential fusion with information volume for semi-supervised medical image segmentation, Yuanpeng He, Lijian Li, Tianxiang Zhan, Chi-Man Pun, Wenpin Jiao, and Zhi Jin.
Residual feature-reutilization inception network, Yuanpeng He, Wenjie Song, Lijian Li, Tianxiang Zhan, and Wenpin Jiao.
Generalized uncertainty-based evidential fusion with hybrid multi-head attention for weak-supervised temporal action localization, Yuanpeng He, Lijian Li, Tianxiang Zhan, Wenpin Jiao, and Chi-Man Pun.
A fast evidential approach for stock forecasting, Tianxiang Zhan, and Fuyuan Xiao.
📷 Preprints
Co-Evidential Fusion with Information Volume for Medical Image Segmentation, Yuanpeng He, Lijian Li, Tianxiang Zhan, Chi-Man Pun, Wenpin Jiao, and Zhi Jin.
Residual Feature-Reutilization Inception Network for Image Classification, Yuanpeng He, Wenjie Song, Lijian Li, Tianxiang Zhan, and Wenpin Jiao.
Reliability Assessment of Information Sources Based on Random Permutation Set, Juntao Xu, Tianxiang Zhan, and Yong Deng.
Evaluating Evidential Reliability in Pattern Recognition Based on Intuitionistic Fuzzy Sets, Juntao Xu, Tianxiang Zhan, and Yong Deng.
Isopignistic Canonical Decomposition via Belief Evolution Network, Qianli Zhou, Tianxiang Zhan, and Yong Deng.
Random Graph Set and Evidence Pattern Reasoning Model, Tianxiang Zhan, Zhen Li, and Yong Deng.
Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory, Tianxiang Zhan, Yuanpeng He, Hanwen Li, and Fuyuan Xiao.
Quantum Soft Likelihood Function Based on Ordered Weighted Average Operator, Tianxiang Zhan, Yuanpeng He, and Fuyuan Xiao.
A Matrix-Based Distance of Pythagorean Fuzzy Set and Its Application in Medical Diagnosis, Yuanpeng He, Lijian Li, and Tianxiang Zhan.
Construction Cost Index Forecasting: A Multi-Feature Fusion Approach, Tianxiang Zhan, Yuanpeng He, and Fuyuan Xiao.
DVS: Deep Visibility Series and Its Application in Construction Cost Index Forecasting, Tianxiang Zhan, Yuanpeng He, Hanwen Li, and Fuyuan Xiao.
✍🏻 Reviewers
🗪 Conference Reviewers
- NeurIPS
- ICML
- AAAI
- ICLR
- ICASSP
- AISTATS
📰 Journal Reviewers
- IEEE Transactions on Knowledge and Data Engineering
- ACM Transactions on Intelligent Systems and Technology
- IEEE Access
- Discover Artificial Intelligence
🧑🏫 Mentor Roles
| Name | Mentorship Year | Previous Institution | Graduation Destination |
|---|---|---|---|
| Duozi Lin | 2024 | University of Electronic Science and Technology of China | Zhejiang University |
| Mengyu Yang | 2024 | University of Electronic Science and Technology of China | - |
| Juntao Xu | 2024 | University of Electronic Science and Technology of China | - |
| Jingyou Wu | 2023 | University of Electronic Science and Technology of China | Zhejiang University |