[KDD'20] Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Jun Luo, xGAIL: Explainable Generative Adversarial Imitation Learningfor Explainable Human Decision Analysis. [To be available soon] the 26th SIGKDD conference on Knowledge Discovery and Data Mining, San Diego, CA, August 23 - 27, 2020, (16.8%=216/1279 Acceptance Ratio)
[KDD'20] Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong and Jun Luo, Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks[To be available soon] the 26th SIGKDD conference on Knowledge Discovery and Data Mining, San Diego, CA, August 23 - 27, 2020, (16.8%=216/1279 Acceptance Ratio)
[KDD'20] Huimin Ren*, Menghai Pan*, Yanhua Li, Xun Zhou and Jun Luo, ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification[To be available soon] the 26th SIGKDD conference on Knowledge Discovery and Data Mining, San Diego, CA, August 23 - 27, 2020, (16.8%=216/1279 Acceptance Ratio)
[WWW'20] Mingzhou Yang, Yanhua Li, Xun Zhou, Hui Lu, Zhihong Tian, Jun Luo, Inferring Passengers’ Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. [PDF] The Web Conference, (19.2%=217/1,129 Acceptance Ratio), Taipei, Apr. 20-24, 2020.
[WWW'20] Tianfu He, Jie Bao, Ruiyuan Li, Sijie Ruan, Yanhua Li, Li Song, Hui He, Yu Zheng, What is the Human Mobility in a New City? -- Transfer Mobility Knowledge Across Cities. [PDF] The Web Conference, (19.2%=217/1,129 Acceptance Ratio), Taipei, Apr. 20-24, 2020.
[Ubicomp'20] Sijie Ruan, Jie Bao, Yuxuan Liang, Ruiyuan Li, Tianfu He, Chuishi Meng, Yanhua Li, Yingcai Wu, Yu Zheng, Dynamic Public Resource Allocation based on Human Mobility Prediction. [PDF] The ACM international joint conference on pervasive and ubiquitous computing, Cancun, Maxico, Sep. 12-16, 2020.
[AdvML'20] Huimin Ren, Yun Yue, Chong Zhou, Rany Paffenroth, Yanhua Li, and Matthew Weiss, Robust Variational Autoencoders: Generating Noise-Free Images from Corrupted Images. [PDF] AdvML'20: 2nd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining, San Diego, CA, August 24, 2020. (Held in conjunction with ACM SIGKDD 2020).
2019
[ICDM'19] Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo, Unveiling Taxi Drivers’ Strategies via cGAIL - Conditional Generative Adversarial Imitation Learning . [PDF] IEEE International Conference on Data Mining, (18.5%=194/1,046 Acceptance Ratio), Beijing, China, Nov. 8-11, 2019.
[ICDM'19] Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo, TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. [PDF] IEEE International Conference on Data Mining, (18.5%=194/1,046 Acceptance Ratio), Beijing, China, Nov. 8-11, 2019.
[SDM'19]
Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo, Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach.[PDF][Slides][Project Link][Data&Code] SIAM International Conference on Data Mining (SDM19), Hyatt Regency Calgary | Calgary, Alberta, Canada, May 2 - 4, 2019. (90/397=22.7% Acceptance Ratio)
(SDM'19 Best Applied Data Science Paper Award!)
[AAAI'19] Amin Vahedian Khezerlou, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data[PDF] the Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, USA, Jan 27-Feb 1, 2019. (1150/7700=16.2% acceptance ratio.)
[SIGSPATIAL GIS'19] Cong Zhang, Yanhua Li, Jie Bao, Sijie Ruan, Tianfu He, Hui Lu, Zhihong Tian, Cong Liu, Chao Tian, Jianfeng Lin and Xianen Li, Effective Recycling Planning for Dockless Sharing Bikes. [PDF] 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Nov. 5 - Nov. 8, 2017, Chicago, IL, USA. (40/184=21.7% Full paper acceptance ratio.)
[CDC'19]
Guojun Wu, Yanhua Li, Jun Luo, Transforming Policy via Reward Advancement.[PDF] the 58th IEEE Conference on Decision and Control (CDC 2019), Nice, France on December 11-13, 2019.
[TIST] Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Zhihong Tian, Jun Luo, DHPA: Dynamic Human Preference Analytics Framework -- A Case Study on Taxi Drivers' Learning Curve Analysis, [To be available soon.] ACM Transactions on Intelligent Systems and Technologies (TIST), Accepted for publication, September 2019.
[TKDE] Yichen Ding, Xun Zhou, Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo, Mining Spatio-temporal Reachable Regions with Multiple Sources from Massive Trajectory Data, [To be available soon.] IEEE Transactions on Knowledge and Data Engineering, Accepted for publication, Nov. 2019.
[TKDE] Amin Vahedian Khezerlou, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo, Forecasting Gathering Events through Trajectory Destination Prediction: a Dynamic Hybrid Model, [To be available soon.] IEEE Transactions on Knowledge and Data Engineering, Accepted for publication, Aug. 2019.
[TKDE] Tianfu He, Jie Bao, Sijie Ruan, Ruiyuan Li, Yanhua Li, Hui He, Yu Zheng, Interactive Bike Lane Planning using Sharing Bikes’ Trajectories [To be available soon.] IEEE Transactions on Knowledge and Data Engineering, Accepted for publication, Mar. 2019.
[TR-C] Yan Lyu, Chi-Yin Chow, Victor C. S. Lee, Joseph K. Y. Ng, Yanhua Li, Jia Zeng, CB-Planner: A Bus Line Planning Framework for Customized Bus Systems[PDF] Transportation Research Part C, Accepted for publication, 2019.
[GeoAI'19] Yanhua Li, and Weixiao Huang, Imitation Learning from Human-Generated Spatial-Temporal Data.[PDF] GeoAI'19: the third international workshop on AI for Geographic Knowledge Discovery, November 5th, 2019, Chicago, Illinois, USA. (Held in conjunction with ACM SIGSPATIAL GIS 2019.)
2018
[KDD'18] Tianfu He, Jie Bao, Ruiyuan Li, Sijie Ruan, Yanhua Li, Chao Tian, and Yu Zheng, Detecting Illegal Vehicle Parking Events using Sharing Bikes' Trajectories[PDF] the 24th SIGKDD conference on Knowledge Discovery and Data Mining, London, UK, August 19 - 23, 2018, (Oral Presentation with 8.0% Acceptance Ratio=40/496)
[ICDM'18] Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo, Human-Centric Urban Transit Evaluation and Planning. [PDF] IEEE International Conference on Data Mining, (8.86%=82/948 Full Paper Acceptance Ratio), Singapore, November 17-20, 2018.
[TKDE] Ke Deng, Yanhua Li, Jia Zeng, Mingxuan Yuan, Jun Luo, Jeffrey Yu, User Preference Analysis for Most Frequent Peer/Dominator [To be available soon.] IEEE Transactions on Knowledge and Data Engineering, Accepted for publication, Jul. 2018.
[TBD] Yanhua Li, Guanxiong Liu, Zhi-Li Zhang, Jun Luo, Fan Zhang, CityLines: Designing Hybrid Hub-and-Spoke Transit System with Urban Big Data[PDF][Link] IEEE Transactions on Big Data, Accepted for publication, 2018.
[TBD] Yichen Ding,Yanhua Li, Xun Zhou, Zhuojie Huang, Simin You, Jun Luo, Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query[PDF] IEEE Transactions on Big Data, Accepted for publication, 2018.
[TBD] Ruiyuan Li, Sijie Ruan, Jie Bao, Yanhua Li, Yingcai Wu, and, Yu Zheng, Efficient Path Query Processing over Massive Trajectories on the Cloud [To be available soon.] IEEE Transactions on Big Data, Accepted for publication, 2018.
[Urbcomp'18] Menghai Pan, Yanhua Li, Taihui Li, Zhi-Li Zhang, Jun Luo, Smart Cloud Commuting with Shared Autonomous Vehicles: A First Feasibility Study. [PDF] Urbcomp'18: The 7th International Workshop on Urban Computing, August 20, 2018, London, UK. (Held in conjunction with ACM SIGKDD 2018).(The papers with this workshop are not included in any public digital labraries. The copyright of the paper belongs to the authors.)
[IWCTS'18] Haoyi Xiong, Amin Vahedian, Xun Zhou, Yanhua Li, Jun Luo, Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach.[To be avaiable soon.] IWCTS'18: the 11th International Workshop on Computational Transportation Science, November 6th, 2018, Seattle, Washington, USA. (Held in conjunction with ACM SIGSPATIAL GIS 2018.)
2017
[KDD'17] Jie Bao, Tianfu He, Sijie Ruan, Yanhua Li, Yu Zheng, Planning bike lanes based on Sharing-bike’s trajectories[PDF] the 23th SIGKDD conference on Knowledge Discovery and Data Mining, Halifax, Nova Scotia, Canada, August 13 - 17, 2017, (Oral Presentation with 8.8% Acceptance Ratio=35/395)
[RTSS'17] Zhen Dong, Cong Liu, Yanhua Li, Jie Bao, and Tian He REC: Predictable Charging Scheduling for Electric Taxi Fleets[PDF] IEEE Real-Time Systems Symposium, Paris, France, December 5 - 8, 2017.
[CDC'17] Guojun Wu, Yichen Ding, Yanhua Li, Jun Luo, Fan Zhang, and Jie Fu Data-driven inverse learning of passenger preferences in urban public transits[PDF] The 56th IEEE Conference on Decision and Control, Melbourne, Australia, December 12 - 15, 2017.
[ICDE'17] Guojun Wu*, Yichen Ding*, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo, Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data[PDF][Bibtex][code and data] 33rd IEEE International Conference on Data Engineering, April 19-22, 2017 in San Diego, California, USA.
[SIGSPATIAL GIS'17] Guanxiong Liu, Yanhua Li, Zhi-Li Zhang, Jun Luo, Fan Zhang CityLines: Hybrid Hub-and-Spoke Urban Transit System. [PDF][Bibtex] 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Nov 7 - Nov 10, 2017, Redondo Beach, CA, USA.
[SIGSPATIAL GIS'17] Amin Vahedian Khezerlou, Xun Zhou, Ling Tong, Yanhua Li and Jun Luo, Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data. [PDF][Bibtex] 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Nov 7 - Nov 10, 2017, Redondo Beach, CA, USA.
[SIGSPATIAL GIS'17] Ruiyuan Li, Sijie Ruan, Jie Bao, Yanhua Li, Yingcai Wu and Yu Zheng Querying Massive Trajectories by Path on the Cloud. [PDF][Bibtex] 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Nov 7 - Nov 10, 2017, Redondo Beach, CA, USA.