Hi, I’m Siyuan Zhang (张思源), a lecturer at Shaoxing University. I obtained my Ph.D. from Jiangnan University, advised by Prof. Linbo Xie. My research focuses on the machine learning, trusty deep learning and model calibration.

I’m a challenger of Teamfight Tactics in S2, S4, S6, S7, and S9. I’m also an Emerald rank player in League of Legends and a skilled Guandan player. I’ve been being a fan of Wang Leehom for 15 years. I drive an Avatr12.

📝 Conference Publications

• Parametric ρ-norm scaling calibration. Siyuan Zhang and Linbo Xie. AAAI 2025.
• A PID controller approach for adaptive probability-dependent gradient decay in model calibration. Siyuan Zhang and Linbo Xie. NeurIPS 2024.
• Integrated optimization method of hidden parameters in incremental extreme learning machine. Siyuan Zhang and Linbo Xie. IJCNN 2021.

📝 Journal Publications

• WIOC-RVFL: Eliminating objective biases by weighted integrated optimization method. Siyuan Zhang. Applied Soft Computing, 2025.
• M2former: Single and Multi-Event Recognition with Multi-Graph Attention Embedding for Distributed Fiber Optic Sensing. Zijie Lin, Fei Cheng, Siyuan Zhang, Zhichao Xia, Linbo Xie. Expert Systems with Applications, 2025.
• Spatiotemporal image-based method for external breakage event recognition in long-distance distributed fiber optic sensing. Zijie Lin, Siyuan Zhang, Zhichao Xia, Linbo Xie. Expert Systems with Applications, 2025.
• Inter-class margin climbing with cost-sensitive learning in neural network classification. Siyuan Zhang, Linbo Xie, Ying Chen and Shaoxin Zhang. Knowledge and Information Systems, 2024.
• A compound framework for short-term gas load forecasting combining time-enhanced perception transformer and two-stage feature extraction. Zijie Lin, Linbo Xie, Siyuan Zhang. Energy, 2024.
• Advancing neural network calibration: The role of gradient decay in large-margin optimization. Siyuan Zhang and Linbo Xie. Neural Networks, 2024.
• Real-time heart rate estimation algorithm based on adaptive spectrum correction and peak localization. Yitian Tan, Linbo Xie, Sulin Yang, Siyuan Zhang, Zhichao Xia, Peijue Ma. IEEE Sensors Journal, 2024.
• Deep incremental random vector functional-link network: A non-iterative constructive sketch via greedy feature learning. Siyuan Zhang and Linbo Xie. Applied Soft Computing, 2023.
• Leader learning loss function in neural network classification. Siyuan Zhang and Linbo Xie. Neurocomputing, 2023.
• Penalized least squares classifier: classification by regression via iterative cost-sensitive learning. Siyuan Zhang and Linbo Xie. Neural Processing Letters, 2023.
• Grafting constructive algorithm in feedforward neural network learning. Siyuan Zhang and Linbo Xie. Applied Intelligence, 2022.

  📖 Educations

• 2021.09 - 2025.06, PH.D., Jiangnan University.
• 2019.09 - 2021.06, M.E., Jiangnan University.
• 2015.09 - 2019.06, B.E., Jiangnan University.

  🥼 Occupation

• 2025.07 - Present, Lecturer, Shaoxing University.