Jinze Wang

According to our database, Jinze Wang authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Do We Really Need SFT? Prompt-as-Policy over Knowledge Graphs for Cold-start Next POI Recommendation.

Jinze Wang, Lu Zhang, Yiyang Cui, Zhishu Shen, Xingjun Ma, Jiong Jin, Tiehua Zhang

CoRR, October, 2025

MetaSTH-Sleep: Towards Effective Few-Shot Sleep Stage Classification with Spatial-Temporal Hypergraph Enhanced Meta-Learning.

Jingyu Li, Tiehua Zhang, Jinze Wang, Yi Zhang, Yuhuan Li, Yifan Zhao, Zhishu Shen, Jiannan Liu

CoRR, May, 2025

Spatial Differentiation of Ecological Environment Quality and the Influencing Factors in Cities Within the Beijing-Tianjin-Hebei Region Based on LCZ and RSEI.

Chaoguang Zhang, Zheng Wang, Jinze Wang, Xiaoying Ding, Yifei Peng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Towards spatial-temporal meta-hypergraph learning for multimodal few-shot fault diagnosis.

Jinze Wang, Jiong Jin, Lu Zhang, Hong-Ning Dai, Adriano Di Pietro, Tiehua Zhang

J. Ind. Inf. Integr., 2025

GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback.

Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Zhijun Ding, Fei Richard Yu

Proceedings of the Data Science: Foundations and Applications, 2025

An Integrated Scheme of Image Encryption and Steganography Based on the Improved 2D-CLSHS Chaotic System.

Lingzhi Zhou, Hongjing Chen, Boyang Chen, Ziqing You, Yuhuan Liao, Qing Liu, Jiawen Yi, DeMin Pang, Jinze Wang

Proceedings of the International Joint Conference on Neural Networks, 2025

HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation.

Jinze Wang, Tiehua Zhang, Lu Zhang, Yang Bai, Xin Li, Jiong Jin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024

Smart Industrial Internet of Things Framework for Composites Manufacturing.

Boon Xian Chai, Maheshi Gunaratne, Mohammad Ravandi, Jinze Wang, Tharun Dharmawickrema, Adriano Di Pietro, Jiong Jin, Dimitrios Georgakopoulos

Sensors, August, 2024

GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning.

Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Fei Richard Yu

CoRR, 2024

Leveraging Auxiliary Task Relevance for Enhanced Industrial Fault Diagnosis through Curriculum Meta-learning.

Jinze Wang, Tiehua Zhang, Boon Xian Chai, Adriano Di Pietro, Dimitrios Georgakopoulos, Jiong Jin

CoRR, 2024

Hardware-Based Time Synchronization for a Multi-Sensor System.

Yueqi Wang, Tangyou Liu, Licheng Feng, Jinze Wang, Yang Yang, Jianjun Bao, Binghao Li, Liao Wu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities.

Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Multi-neuron Information Fusion for Direct Training Spiking Neural Networks.

Jinze Wang, Jiaqiang Jiang, Shuang Lian, Rui Yan

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

The <i>Footprint</i> of Factorization Models and Their Applications in Collaborative Filtering.

Jinze Wang, Yongli Ren, Jie Li, Ke Deng

ACM Trans. Inf. Syst., 2022