Zihan Fang

According to our database, Zihan Fang authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

2024

Self-Supervised Multi-Modal Learning for Collaborative Robotic Grasp-Throw.

Yanxu Hou, Zihan Fang, Jun Li

IEEE Robotics Autom. Lett., May, 2024

Extracting Typical Samples Based on Image Environmental Factors to Obtain an Accurate and High-Resolution Soil Type Map.

Changda Zhu, Fubin Zhu, Cheng Li, Yunxin Yan, Wenhao Lu, Zihan Fang, Zhaofu Li, Jianjun Pan

Remote. Sens., April, 2024

Soil Classification Mapping Using a Combination of Semi-Supervised Classification and Stacking Learning (SSC-SL).

Fubin Zhu, Changda Zhu, Wenhao Lu, Zihan Fang, Zhaofu Li, Jianjun Pan

Remote. Sens., January, 2024

Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network.

Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, Shiping Wang

Neural Networks, January, 2024

Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models.

Zihan Fang, Zheng Lin, Zhe Chen, Xianhao Chen, Yue Gao, Yuguang Fang

CoRR, 2024

AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning.

Senkang Hu, Zhengru Fang, Zihan Fang, Yiqin Deng, Xianhao Chen, Yuguang Fang

CoRR, 2024

2023

DBO-Net: Differentiable bi-level optimization network for multi-view clustering.

Zihan Fang, Shide Du, Xincan Lin, Jinbin Yang, Shiping Wang, Yiqing Shi

Inf. Sci., May, 2023

FedSN: A General Federated Learning Framework over LEO Satellite Networks.

Zheng Lin, Zhe Chen, Zihan Fang, Xianhao Chen, Xiong Wang, Yue Gao

CoRR, 2023

A Four-Year Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention.

Zihan Fang, Madeline Endres, Thomas Zimmermann, Denae Ford, Westley Weimer, Kevin Leach, Yu Huang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness.

Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DMRL-Net: Differentiable Multi-view Representation Learning Network.

Zihan Fang, Shide Du, Yaqing Chen, Shiping Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Graph Learning for Multi-Satellite based Spectrum Sensing.

Haoxuan Yuan, Zhe Chen, Zheng Lin, Jinbo Peng, Zihan Fang, Yuhang Zhong, Zihang Song, Xiong Wang, Yue Gao

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

2022

Delay Compensated One-Way Time Synchronization in Distributed Wireless Sensor Networks.

Zihan Fang, Yue Gao

IEEE Wirel. Commun. Lett., 2022

Digital Mapping of Soil Organic Carbon Based on Machine Learning and Regression Kriging.

Changda Zhu, Yuchen Wei, Fubin Zhu, Wenhao Lu, Zihan Fang, Zhaofu Li, Jianjun Pan

Sensors, 2022

Landscape Classification System Based on RKM Clustering for Soil Survey UAV Images-Case Study of the Small Hilly Areas in Jurong City.

Zihan Fang, Wenhao Lu, Fubin Zhu, Changda Zhu, Zhaofu Li, Jianjun Pan

Sensors, 2022

Contrastive Consensus Graph Learning for Multi-View Clustering.

Shiping Wang, Xincan Lin, Zihan Fang, Shide Du, Guobao Xiao

IEEE CAA J. Autom. Sinica, 2022

2020

Focus on the Visible Regions: Semantic-Guided Alignment Model for Occluded Person Re-Identification.

Qin Yang, Peizhi Wang, Zihan Fang, Qiyong Lu

Sensors, 2020

An Initialization Method of Deep Q-network for Learning Acceleration of Robotic Grasp.

Yanxu Hou, Jun Li, Zihan Fang, Xuechao Zhang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020