[01] Yuxiao Luo. Deciphering Human Mobility: Inferring Semantics of Trajectories with Large Language Models. 25th IEEE International Conference on Mobile Data Management. June 24, 2024. Brussels, Belgium

[02] Ling Yin. Deep-reinforcement-learning-based optimization for intra-urban epidemic control considering spatiotemporal orderliness. The Annual Meeting of American Association of Geographers, April 16- April 20, 2024, Honolulu, HA.

[03] Ling Yin. Integrating fine-grained human mobility into epidemic models. The 28th International Conference on Geoinformatics,Oct 31, 2021, Online .

[04] Guikai Xi, Intra-urban Region-based Traffic Flow Prediction Based on Spatial-Temporal Graph Convolutional Network Enhanced by Spatial Context. 29th ACM SIGSPATIAL 2021. Nov 1, 2021. Beijing, China

[05] Fan Zhang. Investigating evolutions of metro station functions in Shenzhen with long-term smart card data. In Geoinformatics in Sustainable Ecosystem and Society (GSES-2019), November 23, 2019, Guangzhou, China.

[06] Kang Liu. Investigating Urban Metro Stations as Cognitive Places in Cities. In International Symposium on Location-Based Big Data 2019 (LocBigData 2019), July 15, 2019, Tokyo, Japan, in conjunction with ICC 2019.

[07] Kang Liu, Peiyuan Qiu, Song Gao, Feng Lu, Ling Yin, JC Jiang. Exploring Urban Metro Stations as Cognitive Places in Cities Using Points of Interest. In ICUI 2019, 24-26 June, The Hong Kong Polytechnic University (PolyU), Hong Kong, China.

[08] Guikai Xi, Ling Yin, Ye Li, and Shujiang Mei. 2018. A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale. In 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI’18), November 6, 2018, Seattle, WA, USA.

[09] Jialu Xie, Ling Yin, Liang Mao, 2018. A Modeling Framework for Individual-based Urban Mobility Based on Data Fusion. In: International Association of Chinese Professionals in Geographic Information Sciences, 28-30 June 2018 Kunming, Yunnan, China.

[10] Ling Yin, Liang Mao, Nan Lin, Xiaoqing Song, Shujiang Mei, Shih-Lung Shaw, Zhixiang Fang, Qinglan Li. Precise space-time interventions on intra-urban dengue outbreaks using large-scale mobile phone tracking data. The Annual Meeting of American Association of Geographers, New Orleans, LA, April 10- April 14, 2018. (Session Organizer and Chair)

[11] Ling Yin, Liang Mao, Nan Lin, Xiaoqing Song, Shujiang Mei, Shih-Lung Shaw, Zhixiang Fang, Qinglan Li. Precise space-time interventions on intra-urban dengue outbreaks using large-scale mobile phone tracking data. Researcher Links Workshop: The impact of rapid urbanization on health in Chinese mega-cities, Nov 27-29, 2017.

[12] Ling Yin, Liang Mao, Nan Lin, Xiaoqing Song, Shujiang Mei, Shih-Lung Shaw, Zhixiang Fang, Qinglan Li. Precise space-time interventions on intra-urban dengue outbreaks using large-scale mobile phone tracking data. The 1st International Conference on Urban Informatics, Hong Kong, Nov 13-15, 2017. Best paper award.

[13] Ling Yin. Panel discussant. The 8th International Forum of Spatially Integrated Humanities and Social Sciences, Nanjing, China, June 23, 2017.

[14] Ling Yin. Invited speech. Spatial-temporal analysis of human activities with massive trajectory data. Workshop on SMART CITIES, SMART CITIZENS? Power and Participation in the Digital City, Hong Kong, June 15-16, 2017.

[15] Ling Yin, Liang Mao, Nan Lin, Xiaoqing Song, Shih-Lung Shaw, Zhixiang Fang. Precise Space-time Interventions on Intra-urban Dengue Outbreaks with Mobile Phone Location Data. The Annual Meeting of American Association of Geographers, Boston, MA, April 5- April 9, 2017.

[16] Ling Yin, Xiaoqing Song, Nan Lin. Simulating intra-urban intervention strategies for Dengue fever with large-scale mobile phone location data. International Symposium on Watershed Geographic Sciences, Nanjing, Jiangsu, China, Oct 11-13, 2016.

[17] Ling Yin. Keynote speech. Human Activities in Physical and Virtual Spaces: A GIS-based Time-geographic Approach. The 2nd International Time-Geography Conference, Linköping, Sweden, Sept 21-23, 2016.

[18] Ling Yin, Shih-Lung Shaw, Zhixiang Fang, Jinxing Hu. Re-Identification Risk versus Data Utility for Aggregated Mobility Research Using Mobile Phone Location Data. The Annual Meeting of American Association of Geographers, San Francisco, CA, March 29- April 2, 2016.

[19] Ling Yin, Jinxing Hu, Qi Yu. Accelerating agent-based emergency evacuation planning using a knowledge database based on population distribution regularity. The 13th International Conference on GeoComputation, Dallas, TX, May 20-23, 2015.

[20] Ling Yin, Shih-Lung Shaw, Jinxing Hu, Qian Wang, Ning Xu. Privacy risk versus privacy preservation for research using individual mobile phone tracking data. The Annual Meeting of American Association of Geographers, Tampa, FL, April 8-12, 2014.

[21] Ling Yin, Shih-Lung Shaw. A space-time GIS of integrating physical, virtual, and social activities. Paper presented at the 20th Geoinformatics, Hongkong, June 15-17, 2012.

[22] Ling Yin, Shih-Lung Shaw. Exploring dynamic relationships between physical proximity and virtual interactions. Paper presented at the Annual Meeting of the Association of American Geographers, New York City, NY, Feburary 24-28, 2012.

[23] Ling Yin, Shih-Lung Shaw. A space-time GIS for dynamics in potential face-to-face meeting opportunities. Paper presented at the 13th ACM International Conference on Ubiquitous Computing, Beijing, China, September 17-21, 2011.

[24] Ling Yin, Shih-Lung Shaw. A GIS-based Time-geographic Framework for Human Interactions in Virtual Space. Paper presented at the Annual Meeting of the Association of American Geographers, Seattle, WA, April 12-16, 2011.

[25] Ling Yin. GIS-based Spatial-temporal Analysis for Individual Activities. Presented at the Advanced Spatial Analysis Workshop, Santa Barbara, California, July 19-23, 2010.

[26] Ling Yin, Shih-Lung Shaw, Hongbo Yu. Potential Effects of ICT on Face-to-face Meeting Opportunities: A GIS-based Time-geographic Exploratory Approach. Paper presented at the Annual Meeting of the Association of American Geographers, Washington DC, April 14-18, 2010.

[27] Ling Yin, Shih-Lung Shaw. Potential Effects of ICT on Face-to-face Meeting Opportunities: A GIS-based Time-geographic Exploratory Approach. Paper presented at the International Workshop on GIS for Transportation, Wuhan, China, December 4-6, 2009.

[28] Ling Yin, Shih-Lung Shaw. A Case Study of Individual Activities and Interactions in a Hybrid Physical-Virtual Space based on Time Geography Framework. Paper presented at the Annual Meeting of the Association of American Geographers, Las Vegas, Nevada, March 22-27, 2009.

[29] Ling Yin, Shih-Lung Shaw, Hongbo Yu. A Time-Geographic Approach for Activity Planning and Scheduling with Virtual Activities. Paper presented at the Annual Meeting of the Association of American Geographers, Boston, Massachusetts, April 15-19, 2008.

[30] Ling Yin, Shih-Lung Shaw, Dali Wang, Louis Gross, and Michael Berry. A GIS based Cellular Automata Model of Fire Spread Simulations with Genetic Algorithm and Parallel Computing. Paper presented at the Annual Meeting of the Association of American Geographers, San Francisco, California, April 17-21, 2007.

[31] Ling Yin, Shih-Lung Shaw, Dali Wang. Spatial Control: Forest Fire Model. Presentation given at the Computational Science for Natural Resource Managers Workshop funded by an NSF project, University of Tennessee, Knoxville, Tennessee, April 11-14, 2007.