👋 Hello, I’m Tianxiang

🎓 Academic Background & Research Interests

I am currently a Master student at the University of Electronic Science and Technology of China. I expect to graduate in June 2026. My research interest mainly centers on Time Series Analysis. I pay close attention to Foundation Models and Representation Learning. I try to understand the intrinsic nature of data through Statistical Physics and Information Theory. I also work on Uncertainty Theory to make models more reliable. I believe that a good model should handle data noise and concept drift well. I aim to solve real world problems with robust algorithms 🚀.

🌟 Experience & Future Goal

I also care about how to use these methods in specific domains. I have strong interests in Spatio-temporal Data and Medical Healthcare and Quantitative Finance. I have worked as a research intern at Griffith University and University of Macau. I also serve as a research fellow at PyPOTS because I enjoy coding and sharing my code 💻. I am now actively looking for a Fully Funded Ph.D. Position. I hope to join a team where I can continue my research on time series. Please feel free to contact me via email if you are interested in my profile 📧.

📖 Educations

• 2023.09 - 2026.06 (now), Master’s Degree, University of Electronic Science and Technology of China, Computer Science. Mentor: Yong Deng
• 2019.09 - 2023.06, Bachelor‘s Degree, Southwest University (China), Software Engineering. Mentor: Fuyuan Xiao

💻 Internships

• 2025.07 - Now, PyPOTS, Research Fellow. Mentor: Qingsong Wen
• 2024.10 - Now, Griffith University (TrustAGI), Research Intern. Mentor: Ming Jin, Shirui Pan
• 2024.04 - 2025.06, PyPOTS, Community Scholars. Mentor: Qingsong Wen
• 2024.03 - Now, University of Macau, Research Intern. Mentor: Chi-Man Pun
• 2022.09 - Now, Chongqing University, Research Intern. Mentor: Fuyuan Xiao

📝 Publications

😘 Selected Publications

IEEE TPAMI 2025

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).

Arxiv 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).

KDD 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.

CSF 2024

Generalized information entropy and generalized information dimension

Tianxiang Zhan, Jiefeng Zhou, Zhen Li, and Yong Deng.

Chaos, Solitons & Fractals 184 (2024): 114976.

IEEE TFS 2023

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

• Central moments of belief information, Xingyuan Chen, Duozi Lin, Tianxiang Zhan, Yong Deng.
• Evaluating Evidential Reliability in Pattern Recognition Based on Intuitionistic Fuzzy Sets, Juntao Xu, Tianxiang Zhan, and Yong Deng.
• 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.
• A novel weighted approach for time series forecasting based on visibility graph, Tianxiang Zhan, and Fuyuan Xiao.
• 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

🤝 My collaborator