Selected Publications

Zihui Wang#, Zheng Wang#, Lingjuan Lyu, Pengzhao Peng, Zhicheng Yang, Chenglu Wen, Rongshan Yu, Cheng Wang, Xiaoliang Fan* (2024). FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning. 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-24.

Zhaopeng Peng#, Xiaoliang Fan*, Yufan Chen, Zheng Wang, Shirui Pan, Chenglu Wen, Ruisheng Zhang, Cheng Wang (2024). FedPFT: Federated Proxy Fine-Tuning of Foundation Models. 33th International Joint Conference on Artificial Intelligence, IJCAI-24.

(2023). Selected Publications.

Chuanpan Zheng#, Xiaoliang Fan*, Cheng Wang, Jianzhong Qi, Chaochao Chen, Longbiao Chen (2023). INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging. International World Wide Web Conference 2023, WWW-23.

PDF Code Poster DOI

Zheng Wang#, Xiaoliang Fan*, Jianzhong Qi, Haibing Jin, Peizhen Yang, Siqi Shen, Cheng Wang (2022). FedGS: Federated Graph-based Sampling with Arbitrary Client Availability. 37th AAAI Conference on Artificial Intelligence, AAAI-23.

Shangbin Wu#, Xu Yan#, Xiaoliang Fan*, Shirui Pan, Zhushi Chao, Zhengchuan Pan, Cheng Wang (2022). Multi-Graph Fusion Networks for Urban Region Embedding. 30th International Joint Conference on Artificial Intelligence, IJCAI-22.

Liang Chen#, Xiaoliang Fan*, Haibing Jin, Ming Cheng, Cheng Wang (2022). FedRME: Federated Road Markings Extraction from Mobile LiDAR Point Clouds. IEEE CSCWD 2022.

Zheng Wang#, Xiaoliang Fan*, Jianzhong Qi, Cheng Wang, Rongshan Yu, Chenglu Wen (2021). Federated Learning with Fair Averaging. 30th International Joint Conference on Artificial Intelligence, IJCAI-21.

PDF Code Dataset

Chuanpan Zheng#, Xiaoliang Fan*, Jianzhong Qi, Cheng Wang (2020). GMAN: A Graph Multi-Attention Network for Traffic Prediction. 34th AAAI Conference on Artificial Intelligence, AAAI-20.

PDF Code Dataset DOI

闫旭#, 范晓亮*, 郑传潘, 臧彧, 王程, 程明, 陈龙彪 (2020). 基于图卷积神经网络的城市交通态势预测算法. 浙江大学学报 (工学版).

Chuanpan Zheng#, Xiaoliang Fan*, Chenglu Wen, Cheng Wang (2019). DeepSTD: Mining Spatio-Temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems (TITS).

Xiaoliang Fan#, Yakun Hu, Zibin Zheng, Yujie Wang, Patrick Brézillon (2018). CASR-TSE: Context-aware Web Services Recommendation for Modeling Weighted Temporal-Spatial Effectiveness. IEEE Transactions on Services Computing (TSC).