Xiaoliang Fan

Xiaoliang Fan

Senior Research Specialist, School of Informatics, IEEE Senior Member

Xiamen University

Biography

Dr. Xiaoliang FAN got a Ph.D degree in Computer Science from University Pierre and Marie Curie (now Sorbonne Université) in France in 2012. Now he works as a Senior Research Specialist at both ASC Lab and Fujian Key Lab of Sensing and Computing for Smart Cities, Xiamen University, led by Prof. Cheng Wang. His research interests include Spatio-temporal Data Mining, Privacy-preserving Computing & AI algorithms. He has published 60+ journal (IEEE TMC/TITS/TSC, etc.) and conference (AAAI, IJCAI, UbiComp, etc.) papers, and has obtained/ applied for 8/14 Chinese invention patents. His works are funded by NSFC and many industry collaborators. Dr. FAN is an IEEE Senior Member, and CCF (China Computer Federation) Senior Member.

Interests
  • Spatio-temporal Data Mining
  • Trustworthy AI (federated learning)
Education
  • Ph.D in Computer Science, 2012

    University Pierre and Marie Curie (Pairs 6)

  • Ph.D in Computational Mathematics, 2012

    Lanzhou University

  • B.S in Computer Science, 2004

    Lanzhou University

What’s new

  • [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! (04/21/2022)
  • [Award]: Our AAAI-20 paper (GMAN) is awarded by Paper Digest as Most Influential AAAI Papers. (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)

Selected Publications

(2022). Multi-Graph Fusion Networks for Urban Region Embedding. 30th International Joint Conference on Artificial Intelligence, IJCAI-22.

PDF Code

(2021). Federated Learning with Fair Averaging. 30th International Joint Conference on Artificial Intelligence, IJCAI-21.

PDF Code Dataset

Awards and Fundings

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.

People

Team Leader

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Xiaoliang Fan

Xiamen University

Senior Research Specialist, School of Informatics, IEEE Senior Member

Spatio-temporal Data Mining, Trustworthy AI (federated learning)

PhD Students

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Chuanpan Zheng

PhD Student

spatio-temporal data mining, graph neural networks

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Zheng Wang

PhD Student

federated learning

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Zihui Wang

PhD Student

Artificial Intelligence, Irregular time series data, Interpretability

MS Students

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Haibing Jin

MS Student

Federated Learning

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Peizhen Yang

MS Student

Graph Representation Learning

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Zhaopeng Peng

MS Student

Federated Learning

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Zhicheng Yang

MS Student

Federated Learning

Alumni

  • 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)

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