Zihan Wu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Zihan Wu 001 (Xiamen University, China)
- Zihan Wu 002 (University of Michigan-Ann Arbor, School of Information, MI, USA)
- Zihan Wu 003 (Jiangsu University, Zhenjiang, China)
- Zihan Wu 004 (China Agricultural University, Beijing, China)
- Zihan Wu 005 (Fudan University, State Key Laboratory of ASIC & System, Shanghai, China)
- Zihan Wu 006 (Tsinghua University, School of Integrated Circuits, Beijing, China)
- Zihan Wu 007 (Shanghai Rongyue Private Entry-Exit Services Co., Ltd, China)
- Zihan Wu 008 (Hebei University, School of Cyber Security and Computer, Baoding, China)
- Zihan Wu 009 (EPFL, Lausanne, Switzerland)
- Zihan Wu 010 (Harbin Institute of Technology, School of Electronics and Information Engineering / School of Information Science and Engineering, China)
- Zihan Wu 011 (Shenyang University of Technology, College of Information Science and Engineering, China)
- Zihan Wu 012 (Zhejiang University, School of Mechanical Engineering, Hangzhou, China)
Bibliography
2025
ExpStar: Towards Automatic Commentary Generation for Multi-discipline Scientific Experiments.
CoRR, July, 2025
IEEE Trans. Knowl. Data Eng., May, 2025
CoRR, February, 2025
CoRR, February, 2025
Ellipse Detection via Global Arc Compatibilities and Adaptive Co-Clustering for Real-World Measurement Systems.
IEEE Trans. Instrum. Meas., 2025
Classic4Children: Adapting Chinese Literary Classics for Children with Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Proceedings of the 6th International Conference on Computing, 2025
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025
2024
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024
X-Shard: Optimistic Cross-Shard Transaction Processing for Sharding-Based Blockchains.
IEEE Trans. Parallel Distributed Syst., April, 2024
Int. J. Pattern Recognit. Artif. Intell., January, 2024
Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models.
CoRR, 2024
Comput. Biol. Medicine, 2024
Scalable Co-Clustering for Large-Scale Data Through Dynamic Partitioning and Hierarchical Merging.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Proceedings of the IEEE Information Theory Workshop, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023