• [Paper]: One paper on “FedGCDR: Federated Graph Learning for Cross-Domain Recommendation” was accepted by NeurIPS-24. Congratulations to Ziqi Yang. 论文解读 (10/10/2024)
• [Paper]: One paper on “FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning” was accepted by KDD-24. Congratulations to Zihui Wang 论文解读 (05/18/2024)
• [Paper]: One paper on “FedPFT: Federated Proxy Fine-Tuning of Foundation Models” was accepted by Neural Networks. Congratulations to Zhaopeng Peng & Yufan Chen 论文解读 (4/16/2024)
• [Paper]: One paper on “ConTIG: Continuous representation learning on temporal interaction graphs” was accepted by Neural Networks. Congratulations to Zihui Wang & Peizhen Yang (1/26/2024)
• [Paper]: One paper on “FedAVE: Adaptive data value evaluation framework for collaborative fairness in federated learning” was accepted by Neurocomputing. Congratulations to Zihui Wang (1/1/2024)
• [Paper]: One paper on “A Robust Detection and Correction Framework for GNN-based Vertical Federated Learning” was accepted by PRCV 2023. Congratulations to Zhicheng Yang (08/21/2023)
• [Paper]: One paper on our lightweight federated learning framework “FLGO: A Fully Customizable Federated Learning Platform” was accepted by FL-IJCAI23 workshop (06/30/2023)
• [Paper]: One paper on “Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting” was accepted by TKDE, Congratulations to Chuanpan Zheng, Haibing Jin & Zhaopeng Peng! 论文解读 (06/01/2023)
• [Paper]: One paper on “面向大规模交通网络的时空关联挖掘方法” was accepted by 清华大学学报（自然科学版） (05/11/2023)
• [Paper]: One paper on “INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging” was accepted by TheWebConf-23, Congratulations to Chuanpan Zheng! 论文解读 (1/2/2023)
• [Paper]: One paper on “FedGS: Federated Graph-based Sampling with Arbitrary Client Availability “ was accepted by AAAI-23, Congratulations to Zheng Wang & Haibing Jin! 论文解读 (11/28/2022)
• [Funds]: Our project of “Efficient and Secure Federated Learning on Spatio-temporal Graphs（面向时空图的高效安全联邦学习关键问题研究）” is granted by Nature Science Foundation of China as a general program（国家自然科学基金面上项目）. (09/09/2022)
• [Award]: Congratulations to Dr. Xiaoliang Fan for being a awardee of Young Talents Award by CCF-TCSC (2022年CCF服务计算青年才俊奖). (08/21/2022)
• [Funds]: Our project of “Federated Spatio-temproal Graph Neural Networks based on PaddlePaddle” is selected by “2022年度CCF-百度松果基金”. (07/09/2022)
• [News]: Congratulations to Xu YAN, Liang CHEN, and Shangbin Wu, who have successfully graduated from their master program in 2022. It was my honor to have worked with them, and may the fortune be with them all:-) (06/27/2022)
• [Award]: Congratulations to Dr.Xiaoliang Fan for being a recipient of Xiamen University Faculty Fellowship (厦门大学奖教金). (05/04/2021)
• [Paper]: One paper on Multi-Graph Fusion Networks for Urban Region Embedding” was accepted by IJCAI-22, Congratulations to Shangbin Wu & Xu Yan! 论文解读 (04/21/2022)
• [Award]: Our AAAI-20 paper (GMAN) is awarded by Paper Digest as Most Influential AAAI Papers. 论文解读 (04/10/2022)
• [Award]: Congratulations to Chuanpan Zheng for being a recipient of Caode Wang Scholarship, Xiamen University(厦门大学曹德旺奖学金). (04/06/2022)
• [Paper]: One paper on “FedRME: Federated Road Markings Extraction from Mobile LiDAR Point Clouds” was accepted by IEEE CSCWD 2022. (01/31/2022)
• [Award]: Congratulations to Zheng Wang for being a recipient of National Scholarship for Postgraduates (研究生国家奖学金), Xiamen University. (10/10/2021)
• [Paper]: One paper on “Predicting the spread of COVID-19 in China with human mobility data” was accepted by ACM SIGSPATIAL 2021. (08/15/2021)
• [Paper]: One paper on “STPC-Net: Learn Massive Geo-Sensory Data as Spatio-Temporal Point Clouds” was published by IEEE Transactions on Intelligent Transportation Systems. (08/11/2021)
• [News]: Congratulations to Guichun Gao and Lujing Xiao on their successful defense and graduation from the Master’s program. (06/15/2021)
• [Paper]: One paper on fairness in federated Learning was accepted by IJCAI-21. (04/29/2021)

Awards:

• Young Talents Award by CCF-TCSC (2022年中国计算机学会CCF服务计算青年才俊奖), 2022年8月，获奖人：范晓亮.
• The First Prize Award for Progress in Science and Technology, Fujian Province, 2018（rank: 5/10);
• Best Paper Award, PCC 2018 (rank: 6/8);
• Best Paper Candidate Award, 2015 International Conference on Cloud Computing and Big Data (CCBD 2015), rank: 1/4;
• CSC-IBM China Excellent Teacher Award, by China Scholarship Council, 2014;
• Eiffel Excellent PhD Fellowship, by French ministry of foreign affairs, 2010;
• Student Travel Award, 15th IFIP WG 8.3 International Conference on Decision Support Systems (DSS 2010).

Fundings:

• [NSFC-General] Efficient and Secure Federated Learning on Spatio-temporal Graphs（面向时空图的高效安全联邦学习关键问题研究），Nature Science Foundation of China as a general program（国家自然科学基金面上项目），Xiaoliang Fan (PI), Jan. 2023-Dec. 2026, 540K RMB.
• [NSFC-General] Uncertainty Analysis of Massive-scare Human Mobility and Citywide Crowd Flows Prediction（大规模人群出行的不确定性分析与城市级别人流预测研究），National Natural Science Foundation of China-General Project (61872306)，Xiaoliang Fan (PI), Jan. 2019-Dec. 2022, 640K RMB.
• [Subway] 城轨云、大数据应用关键指标研究, 厦门轨道交通集团有限公司，范晓亮（主持）, 2021年1月-2021年12月, 40万元
• [规划1] 同安区智慧城市建设十四五规划，企事业委托项目（腾讯云），范晓亮（主持），2021年5月-2021年12月，10万元
• [规划2] 集美区智慧城市建设十四五规划，企事业委托项目（集美区工信局），范晓亮（主持），2020年1月-2020年12月，10万元
• [Traffic_1] Traffic Big Data Analytics and Application (2018), Xiamen Science & Technology Bureau, Xiaoliang Fan (PI), Jan. 2018-Dec. 2020, 125K RMB.
• [Traffic_2] Traffic Big Data Analytics and Application (2018), Industrial Funding, Xiaoliang Fan (PI), Jan. 2019-Dec. 2019, 250K RMB.
• [Traffic_3] Traffic Big Data Analytics and Applied AI Algorithms, Industrial Funding, Xiaoliang Fan (PI), Jan. 2019-Dec. 2019, 200K RMB.

• 黄华强 (Xiamen University, Master, graduated in 2016, co-supervised with Prof. Ming CHENG，毕业去向：建发房地产)
• 何宝琴 (Xiamen University, Master, graduated in 2016, co-supervised with Prof. Ming CHENG，毕业去向：厦门医学院)
• 胡亚昆 (Lanzhou University, Master, graduated in 2017, 获国家奖学金/优秀毕业研究生，毕业去向：中电集团南京55所)
• 唐方 (Xiamen University, Master, graduated in 2017, co-supervised with Prof. Ming CHENG，毕业去向：兴业银行厦门)
• 王玉杰 (Lanzhou University, Master, graduated in 2018, 获国家奖学金，毕业去向：科大讯飞)
• 郭磊 (Lanzhou University, Master, graduated in 2018, 毕业去向：南方航空)
• 韩宁 (Lanzhou University, Master, graduated in 2018, 毕业去向：华为西安)
• 史佳 (Lanzhou University, Master, graduated in 2019, 获研究生校级奖学金，毕业去向：华为西安)
• 陈超 (Xiamen University, Master, graduated in 2019, co-supervised with Prof. Ming CHENG，毕业去向：厦门航空)
• 肖璐菁 (Xiamen University, Master, graduated in 2021, 获研究生校级奖学金/厦门大学三好学生，co-supervised with A/Prof. Yi XIE，实习经历：虎牙科技（广州），毕业去向：南方电网汕头)
• 高桂春 (Xiamen University, Master, graduated in 2021, 获厦门大学优秀毕业生，co-supervised with A/Prof. Ming CHENG，毕业去向：建信金融科技(厦门))
• 闫旭 (Xiamen University, Master, graduated in 2022, 获研究生校级奖学金/厦门大学三好学生，co-supervised with A/Prof. Yu ZANG，实习经历：美团（北京），毕业去向：BIGO)
• 陈亮 (Xiamen University, Master, graduated in 2022, 毕业去向：上海宏景智驾信息科技有限公司)
• 吴尚斌 (Xiamen University, Master, graduated in 2022, 获厦门大学学业奖学金，co-supervised with A/Prof. Ming CHENG，实习经历：蚂蚁（杭州），毕业去向：蚂蚁科技集团（杭州)）

Bachelor Interns：

• 洪赓 (Xiamen University, Bachelor, graduated in 2018, 获国家奖学金/厦门大学优秀毕业生，毕业去向：复旦大学读研)
• 朱耀 (Xiamen University, Bachelor, graduated in 2019, 获国家奖学金/厦门大学优秀毕业生，毕业去向：北京大学读研)
• 于龙 (Xiamen University, Bachelor, graduated in 2019, 获学业一等奖学金/厦门大学优秀毕业生，毕业去向：东南大学读研)
• 徐畅 (Xiamen University, Bachelor, graduated in 2019, 获国家奖学金/厦门大学优秀毕业生，毕业去向：美国杜克大学读研)
• 龚盛豪 (Xiamen University, Bachelor, graduated in 2021, 获国家奖学金/厦门大学优秀毕业生，毕业去向：浙江大学读研)
• 代明亮 (Xiamen University, Bachelor, graduated in 2021, 获国家奖学金/厦门大学优秀毕业生，毕业去向：复旦大学读研)
• 李玮健 (Xiamen University, Bachelor, graduated in 2021, 获厦门大学优秀毕业生，毕业去向：北京交通大学读研)