Zhaochuan Li

According to our database, Zhaochuan Li authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Learn to unlearn: meta-learning-based knowledge graph embedding unlearning.

Naixing Xu, Qian Li, Zhaochuan Li, Xu Wang, Bingchen Liu, Jabulani Brown Mpofu, Jingchen Li, Xin Li

Knowl. Inf. Syst., August, 2025

Efficient and Accurate Spatial Queries Using Lossy Compressed 3D Geometry Data.

Dejun Teng, Zhaochuan Li, Zhaohui Peng, Shuai Ma, Fusheng Wang

IEEE Trans. Knowl. Data Eng., May, 2025

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification.

Xiaoshuo Yan, Zhaochuan Li, Lei Meng, Zhuang Qi, Wei Wu, Zixuan Li, Xiangxu Meng

CoRR, May, 2025

Improving Global Generalization and Local Personalization for Federated Learning.

Lei Meng, Zhuang Qi, Lei Wu, Xiaoyu Du, Zhaochuan Li, Lizhen Cui, Xiangxu Meng

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Towards Initialization-Agnostic Clustering with Iterative Adaptive Resonance Theory.

Xiaozheng Qu, Zhaochuan Li, Zhuang Qi, Xiang Li, Haibei Huang, Lei Meng, Xiangxu Meng

Proceedings of the International Joint Conference on Neural Networks, 2025

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification.

Xiaoshuo Yan, Zhaochuan Li, Lei Meng, Zhuang Qi, Wei Wu, Zixuan Li, Xiangxu Meng

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data.

Zhuang Qi, Lei Meng, Zhaochuan Li, Han Hu, Xiangxu Meng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

GARAG: A General adaptive question-answering system based on RAG.

Zizhong Wei, Dengrong Huang, Jichen Zhang, Chen Song, Sijia Zhang, Jianing Zhang, Zhaochuan Li, Kai Jiang, Rui Li, Qiang Duan

Proceedings of the 2024 International Conference on Cloud Computing and Big Data, 2024

2023

Energy-Efficient Federated Learning Over Hierarchical Aerial Wireless Networks.

Zhaochuan Li, Zhibin Wang, Zixin Wang, Yong Zhou

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023