ZhiJiao

ZhiJiao

Lanzhou University兰州大学 · DSLab

PhD student博士研究生

I am a PhD student at Lanzhou University, where I also completed my bachelor's and master's degrees. My current research focuses on neural networks and deep learning, with plans to explore world models.我目前在兰州大学攻读博士学位，本科和硕士也均就读于兰州大学。目前主要研究神经网络与深度学习，后续计划探索世界模型。

I mainly use Python, PyTorch, and TensorFlow. Outside of research, I enjoy listening to music.平时主要使用 Python、PyTorch 和 TensorFlow，研究之余喜欢听音乐。

Research interests: 研究方向：Neural networks神经网络, 、Deep learning深度学习, 、World models (future direction)世界模型（后续方向）.。

zhsu20@lzu.edu.cn GitHub

Publications学术论文

  1. KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning

    面向可解释与不确定性感知学习的神经符号框架

    B. Yong, H. Pei, J. Shen, H. Li, Q. Zhou, Z. Su

    ICML, 2026 · International Conference on Machine Learning

  2. SL-ANFIS-LSTM: A Structure Learnable Fuzzy Neural Network for Ultra-Short-Term PV Power Forecasting

    用于超短期光伏功率预测的结构可学习模糊神经网络

    Z. Su, J. Shen, Q. Zhou, B. Yong

    IEEE Transactions on Fuzzy Systems DOI

  3. Deep Learning Empowered Detection of Large Language Model Based Generative Content in Educational Tasks

    基于深度学习的教育任务中大语言模型生成内容检测

    Z. Su, J. Shen, Q. Zhou, B. Yong

    IEEE Transactions on Learning Technologies DOI

  4. Deep Spatio-Temporal Fuzzy Model for NDVI Forecasting

    用于归一化植被指数预测的深度时空模糊模型

    Z. Su, J. Shen, Y. Sun, R. Hu, Q. Zhou, B. Yong

    IEEE Transactions on Fuzzy Systems, 2025 · Vol. 33, no. 1, pp. 290–301 DOI

  5. FoodFlavorNet: A Multimodal Deep Learning Model for Food Flavor Recognition

    用于食物风味识别的多模态深度学习模型

    Z. Su, J. Shen, Q. Zhou, B. Yong

    IEEE Transactions on Consumer Electronics DOI