Dr. Xiaoliang Fan 范晓亮 博士

RESEARCH   Go Top

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 at Fujian Key Lab of Sensing and Computing for Smart Cities (Xiamen University) as a Senior Research Specialist. His research interests include Urban computing & informatics, Privacy-preserving based medical data mining & applied AI algorithms. He has published 50+ Journal and Conference papers, and has obtained/ applied for 2/14 Chinese invention patents. Dr. FAN is an IEEE Senior Member, and CCF (China Computer Federation) Senior Member, as well as member of IEEE Computer Science, ACM, etc.

EDUCATION Go Top

Ph.D., Computer Science, January 2012
University Pierre and Marie Curie (Pairs 6), France
Ph.D., Computational Mathematics, July 2012
Lanzhou University, China
B.S., Computer Science & Technology, July 2004
Lanzhou University, China

AWARDS Go Top

• 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).

PUBLICATIONS Go Top

Selected Journal Papers

• [T-ITS] Chuanpan Zheng#; Xiaoliang Fan*, Chenglu Wen, Longbiao Chen, Cheng Wang, Jonathan Li, DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction, IEEE Transactions on Intelligent Transportation Systems, 2019. DOI: 10.1109/TITS.2019.2932785.
• [T-SC] Xiaoliang Fan#, Yakun Hu, Zibin Zheng*, Yujie Wang, Patrick Brezillon, Wenbo Chen, CASR-TSE: Context-Aware Web Services Recommendation for Modeling Weighted Temporal-Spatial Effectiveness, IEEE Transactions on Services Computing, 2018, vol. , no. , pp. 1, 5555, doi:10.1109/TSC.2017.2782793. [Online in December 2017]
• [ISPRS-JPRS] Chenlu Wen#, Changbin You, Hai Wu, Cheng Wang*, Xiaoliang Fan, and Jonathan Li, Recovery of urban 3D road boundary via multi-source data, ISPRS Journal of Photogrammetry and Remote Sensing, 156: (2019):184-201. DOI: 10.1016/jisprsjprs.2019.08.010.
• [J-ITS] Li Kuang#, Han Yan, Yujia Zhu, Shenmei Tu, Xiaoliang Fan*, Predicting Duration of Traffic Accidents based on Cost-Sensitive Bayesian Network and Weighted K-Nearest Neighbour, Journal of Intelligent Transportation Systems, Kuang, L. , Yan, H. , Zhu, Y. , Tu, S. , & Fan, X. . (2019). Predicting duration of traffic accidents based on cost-sensitive bayesian network and weighted k-nearest neighbor. Journal of Intelligent Transportation Systems, 161-174, DOI: 10.1080/15472450.2018.1536978.

Selected Conference Papers

• [AAAI-2020] Chuanpan Zheng#, Xiaoliang Fan*, Jianzhong Qi, Cheng Wang, GMAN: A Graph Multi-Attention Network for Traffic Prediction, Accepted by AAAI-2020 (acceptance rate: 20.6%).
• [UbiComp18] Longbiao Chen#, Xiaoliang Fan, Leye Wang, Zhiyong Yu, Johnthan Li, Daqing Zhang, Thi-Mai-Trang Nguyen, Gang Pan, Cheng Wang*, RADAR: Road Obstacle Identification for Disaster Response Leveraging Multi-Source Urban Data, The ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’18), Singapore, 2018 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 4, Article 130 (January 2018), 23 pages. DOI: 10.1145/3161159.
• [IJCAI19-KDH] Jujing Xiao#, Chuanpan Zheng, Xiaoliang Fan*, Yi Xie, Rongshan Yu, Predicting ICU Mortality from Heterogeneous Clinical Events with Prior Medical Knowledge, in Proceedings of The 4th International Workshop on Knowledge Discovery in Healthcare Data (KDH’19) held with IJCAI 2019, CEUR.org, Vol-2429, pp. 55-59, Macau, China, August 10-16, 2019.
• [IJCAI18-AIH] Yao Zhu#, Xiaoliang Fan*, Jinzhun Wu, Xiao Liu, Jia Shi, Cheng Wang, Predicting ICU Mortality by Supervised Bidirectional LSTM Networks, Proceedings of the 1st Joint Workshop on AI in Health collocated with IJCAI 2018 (IJCAI-AIH 2018), Stockholm, Sweden, July 13-14, 2018, CEUR.org, Vol-2142, pp. 49-60. [EI: 20183205657445]
• [CBD18] Jia Shi#, Xiaoliang Fan*, Jinzhun Wu, Jian Chen and Wenbo Chen, DeepDiagnosis: DNN-based Diagnosis Prediction from Pediatric Big Healthcare Data, Proceeding of Sixth International Conference on Advanced Cloud and Big Data (CBD 2018), IEEE press, August 12-15, 2018, Lanzhou, China, pp. 287-292, DOI: 10.1109/CBD.2018.00058.
• [CBD18]Chao Chen#, Xiaoliang Fan*, Chuanpan Zheng, Lujing Xiao, Ming Cheng and Cheng Wang, SDCAE: Stack Denoising Convolutional Autoencoder Model for Accident Risk Prediction via Traffic Big Data, Proceeding of Sixth International Conference on Advanced Cloud and Big Data (CBD 2018), IEEE press, August 12-15, 2018, Lanzhou, China, pp. 328-333, DOI: 10.1109/CBD.2018.00065.
• [ICWS18] Xiaoliang Fan#, Chang Xu, Fang Tang, Jianzhong Qi, Xiao Liu, Longbiao Chen, Cheng Wang*, CommuteShare: A Ridesharing Service for Daily Commuters Using Cross-domain Urban Big Data, 25th IEEE Conference on Web Services (ICWS 2018), July 2-7, 2018, San Francisco, USA, pp.298-301, doi: 10.1109/ICWS.2018.00046
• [ICWS17] Yujie Wang#, Xiaoliang Fan*, Xiao Liu, Chuanpan Zheng, Longbiao Chen, Cheng Wang, Jonathan Li, Unlicensed Taxis Detection Service based on Large-Scale Vehicles Mobility Data, Proc. of 24th IEEE Conference on Web Services (ICWS 2017), Hawaii, USA, June 24-30, 2017, pp. 857-861.
• [ICWS16]Xiaoliang Fan#*, Yujie Wang, You Ma, Yakun Hu, Xiao Liu, Exploring the Effectiveness of True Abnormal Data Elimination in Context-aware Web Services Recommendation, Proc. of 23th IEEE Conference on Web Services (ICWS 2016), San Francisco, USA, June 27-July 2, 2016, pp. 300-307.
• [ICWS15]Xiaoliang Fan#, Yakun Hu, Ruisheng Zhang, Wenbo Chen and Patrick Brezillon*, Modeling Temporal Effectiveness for Context Aware Web Services Recommendation, Proc. of 22th IEEE Conference on Web Services (ICWS 2015 Research Track), New York, USA, June 27th-July 2nd, 2015, pp. 225-232.

CURRENT FUNDINGS

• [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.
• [AmoyDx] Privacy-preserving based Medical & Health Big Data Analytics and AI-based Data Mining, AmoyDx-XMU Scholarship, Xiaoliang Fan (PI), Aug. 2019-Jul. 2020, 60K RMB.
• [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.

STUDENTS Go Top

PhD Students

Chuanpan ZHENG (urban traffic flow prediction, general point cloud; co-supervised with Prof. Cheng WANG)
Ziwei Wang(privacy preserving based medical data mining; co-supervised with Prof. Rongshan YU)

Master Students

Lujing XIAO (enrolled in 2018, privacy preserving based medical data mining)
Guichun GAO (enrolled in 2018, privacy preserving based medical data mining)
Liang CHEN (enrolled in 2019, privacy preserving based medical data mining)
Xu YAN (enrolled in 2019, urban traffic flow prediction, general point cloud)
Shangbin WU (enrolled in 2019, reinforcement learning based traffic signal control)
Zheng WANG (enrolled in 2020, privacy preserving based medical data mining)

Undergraduate Students (interns)

Mingliang Dai (enrolled in 2017, privacy preserving based medical data mining, funded by AmoyDx-XMU scholarship 2019-2020)
Shenghao GONG (enrolled in 2017, privacy preserving based medical data mining, funded by AmoyDx-XMU scholarship 2019-2020)
Haowei WANG (enrolled in 2017, reinforcement learning based traffic signal control)
Weijian LI (enrolled in 2017, urban traffic flow prediction)

Graduates

Huaqiang HUANG (Xiamen University, Master, graduated in 2016, co-supervised with Prof. Ming CHENG，毕业去向：建发房地产) 
Baoqin HE (Xiamen University, Master, graduated in 2016, co-supervised with Prof. Ming CHENG，毕业去向：厦门航空)
Yakun HU (Lanzhou University, Master, graduated in 2017, 获国家奖学金/兰州大学优秀毕业研究生，毕业去向：中电集团南京55所)
Fang TANG (Xiamen University, Master, graduated in 2017, co-supervised with Prof. Ming CHENG，毕业去向：兴业银行厦门)
Yujie WANG (Lanzhou University, Master, graduated in 2018, 获国家奖学金，毕业去向：科大讯飞)
Lei GUO (Lanzhou University, Master, graduated in 2018, 毕业去向：南方航空)
Ning HAN (Lanzhou University, Master, graduated in 2018, 毕业去向：华为西安)
Jia SHI (Lanzhou University, Master, graduated in 2019, 获兰州大学研究生校级奖学金，毕业去向：华为西安)
Chao CHEN (Xiamen University, Master, graduated in 2019, co-supervised with Prof. Ming CHENG，毕业去向：厦门航空)
Geng HONG (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)
Yao ZHU (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)
Long YU (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)