Xiaoliang Fan

Xiaoliang Fan

Senior Research Specialist, School of Informatics, IEEE Senior Member

Xiamen University

Biography

Xiaoliang Fan is a Senior Research Specialist at Fujian Key Laboratory of Sensing and Computing for Smart Cites, School of Informatics, Xiamen University, China. He received his PhD degree at University Pierre and Marie CURIE, France in 2012. His research interests include trustworthy AI and federated learning, spatio-temporal data mining, LLM applications, etc. He has published 80+ journals (IEEE TSC/TMC/TITS, etc.) and top conferences (AAAI, KDD, IJCAI, WWW, etc.) papers. His works are funded by NSFC and many industry collaborators. Dr. FAN is an IEEE Senior Member, and CCF 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

Selected Publications

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

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

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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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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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Yitong Huang

MS Student

Federated Learning

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Yufan Chen

MS Student

Federated Learning

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Zhaopeng Peng

MS Student

Federated Learning

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Zhicheng Yang

MS Student

Federated Learning

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Ziqi Yang

MS Student

Federated Learning, Recommendation System

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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