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2020 – today
- 2025
[j4]Jinze Wang
, Jiong Jin, Lu Zhang, Hong-Ning Dai, Adriano Di Pietro, Tiehua Zhang:
Towards spatial-temporal meta-hypergraph learning for multimodal few-shot fault diagnosis. J. Ind. Inf. Integr. 48: 100924 (2025)- [j3]Chaoguang Zhang, Zheng Wang, Jinze Wang, Xiaoying Ding, Yifei Peng:
Spatial Differentiation of Ecological Environment Quality and the Influencing Factors in Cities Within the Beijing-Tianjin-Hebei Region Based on LCZ and RSEI. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 15477-15494 (2025) - [c6]Jinze Wang, Tiehua Zhang, Lu Zhang, Yang Bai, Xin Li, Jiong Jin:
HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation. ICME 2025: 1-6 - [c5]Lingzhi Zhou, Hongjing Chen, Boyang Chen, Ziqing You, Yuhuan Liao, Qing Liu, Jiawen Yi, DeMin Pang, Jinze Wang:
An Integrated Scheme of Image Encryption and Steganography Based on the Improved 2D-CLSHS Chaotic System. IJCNN 2025: 1-8 - [c4]Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Zhijun Ding, Fei Richard Yu:
GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback. PAKDD (7) 2025: 426-438 - [i6]Jinze Wang, Tiehua Zhang, Lu Zhang, Yang Bai, Xin Li, Jiong Jin:
HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation. CoRR abs/2503.22049 (2025) - [i5]Jingyu Li, Tiehua Zhang, Jinze Wang, Yi Zhang, Yuhuan Li, Yifan Zhao, Zhishu Shen, Jiannan Liu:
MetaSTH-Sleep: Towards Effective Few-Shot Sleep Stage Classification with Spatial-Temporal Hypergraph Enhanced Meta-Learning. CoRR abs/2505.17142 (2025) - [i4]Jinze Wang, Lu Zhang, Yiyang Cui, Zhishu Shen, Xingjun Ma, Jiong Jin, Tiehua Zhang:
Do We Really Need SFT? Prompt-as-Policy over Knowledge Graphs for Cold-start Next POI Recommendation. CoRR abs/2510.08012 (2025) - 2024
- [j2]Boon Xian Chai, Maheshi Gunaratne, Mohammad Ravandi, Jinze Wang, Tharun Dharmawickrema, Adriano Di Pietro, Jiong Jin, Dimitrios Georgakopoulos:
Smart Industrial Internet of Things Framework for Composites Manufacturing. Sensors 24(15): 4852 (2024) - [c3]Yueqi Wang, Tangyou Liu, Licheng Feng, Jinze Wang, Yang Yang, Jianjun Bao, Binghao Li, Liao Wu:
Hardware-Based Time Synchronization for a Multi-Sensor System. IROS 2024: 4600-4607 - [i3]Jinze Wang, Tiehua Zhang, Boon Xian Chai, Adriano Di Pietro, Dimitrios Georgakopoulos, Jiong Jin:
Leveraging Auxiliary Task Relevance for Enhanced Industrial Fault Diagnosis through Curriculum Meta-learning. CoRR abs/2410.20351 (2024) - [i2]Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Fei Richard Yu:
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning. CoRR abs/2411.14479 (2024) - 2023
- [c2]Jinze Wang, Jiaqiang Jiang, Shuang Lian, Rui Yan:
Multi-neuron Information Fusion for Direct Training Spiking Neural Networks. ICONIP (7) 2023: 458-469 - [c1]Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong:
Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities. PAKDD (3) 2023: 322-334 - [i1]Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong:
Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities. CoRR abs/2308.09309 (2023) - 2022
- [j1]Jinze Wang, Yongli Ren, Jie Li, Ke Deng:
The Footprint of Factorization Models and Their Applications in Collaborative Filtering. ACM Trans. Inf. Syst. 40(4): 71:1-71:32 (2022)
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