@inproceedings{lin2018intelligent,
  title = {An Intelligent and Interactive Route Planning Maker for Deploying New Transportation Services},
  author = {Lin, Fandel and Hsieh, Hsun-Ping},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
  pages = {620--621},
  year = {2018},
  topic = {Spatial AI; Geographic Information Science; Data Mining; Transportation},
  venue = {ACM SIGSPATIAL},
  pubtype = {Conference},
  highlight = {false},
  note = {SRC Paper},
  award = {ACM SIGSPATIAL SRC 1st Place / ACM SRC Grand Finals 2nd Place},
  url = {https://dl.acm.org/doi/10.1145/3274895.3282801}, 
}

@article{hsieh2019temporal,
  title = {Temporal Popularity Prediction of Locations for Geographical Placement of Retail Stores},
  author = {Hsieh, Hsun-Ping and Lin, Fandel and Cheng-Te, Li and Yen, Ian En-Hsu and Hsin-Yu, Chen},
  journal = {Knowledge and Information Systems (KAIS)},
  volume = {60},
  number = {1},
  pages = {247--273},
  year = {2019},
  publisher = {Springer Nature BV},
  topic = {Spatial AI; Data Mining},
  venue = {KAIS},
  pubtype = {Journal},
  highlight = {false},
  note = {SCIE, IF=2.9},
  award = {},
  url = {https://link.springer.com/article/10.1007%2Fs10115-018-1311-x}, 
}

@inproceedings{lin2020convolutional,
  title = {A Convolutional Approach for Estimating Popularity of New Branch Stores},
  author = {Lin, Fandel and Hsieh, Hsun-Ping},
  booktitle = {Companion Proceedings of the Web Conference (WWW)},
  pages = {85--87},
  year = {2020},
  topic = {Spatial AI; Data Mining},
  venue = {WWW},
  pubtype = {Conference},
  highlight = {false},
  note = {Poster Paper},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3366424.3382709}, 
}

@inproceedings{lin2020traffic,
  title = {Traffic Light Control with Real-time Vehicle License Plate Recognition},
  author = {Lin, Fandel and Lin, Shiuan-Tyng and Fang, Jie-Yu and Hsieh, Hsun-Ping},
  booktitle = {Companion Proceedings of the Web Conference (WWW)},
  pages = {100--102},
  year = {2020},
  topic = {Spatial AI; Transportation},
  venue = {WWW},
  pubtype = {Conference},
  highlight = {false},
  note = {Poster Paper},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3366424.3382717}, 
}

@inproceedings{lin2020customizing,
  title = {Customizing Your Own Route with QQIP. A Quantitative and Qualitative Itinerary Planner for New Transportation Routes},
  author = {Lin, Fandel and Fang, Jie-Yu and Hsieh, Hsun-Ping},
  booktitle = {Companion Proceedings of the Web Conference (WWW)},
  pages = {230--234},
  year = {2020},
  topic = {Spatial AI; Geographic Information Science; Human Mobility},
  venue = {WWW},
  pubtype = {Conference},
  highlight = {false},
  note = {Demo Paper},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3366424.3383548}, 
}

@inproceedings{chien2020efficient,
  title = {An Efficient Method for Recommending Branch Locations to Reduce the Transportation Distance between Stations and Urban Events},
  author = {Chien, Sheng-Ting and Lin, Fandel and Tsai, Chiunghui and Hsieh, Hsun-Ping},
  booktitle = {IEEE International Workshop on Mobile Data Management, Mining, and Computing on Social Network (MobiSocial @ IEEE MDM)},
  pages = {310--315},
  year = {2020},
  organization = {IEEE},
  topic = {Spatial AI},
  venue = {IEEE MDM},
  pubtype = {Workshop},
  highlight = {false},
  note = {},
  award = {},
  url = {https://ieeexplore.ieee.org/document/9162255}, 
}

@inproceedings{lin2020gaussian,
  title = {A Gaussian-prioritized Approach for Deploying Additional Route on Existing Mass Transportation with Neural-network-based Passenger Flow Inference},
  author = {Lin, Fandel and Fang, Jie-Yu and Hsieh, Hsun-Ping},
  booktitle = {IEEE Congress on Evolutionary Computation (IEEE CEC)},
  pages = {1--8},
  year = {2020},
  organization = {IEEE},
  topic = {Spatial AI; Geographic Information Science; Transportation},
  venue = {IEEE CEC},
  pubtype = {Conference},
  highlight = {false},
  note = {Full Paper},
  award = {},
  url = {https://ieeexplore.ieee.org/document/9185869}, 
}

@inproceedings{lin2020route,
  title = {A Route-affecting Region Based Approach for Feature Extraction in Transportation Route Planning},
  author = {Lin, Fandel and Hsieh, Hsun-Ping and Fang, Jie-Yu},
  booktitle = {Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)},
  pages = {275--290},
  year = {2020},
  organization = {Springer International Publishing Cham},
  topic = {Spatial AI; Geographic Information Science; Data Mining},
  venue = {ECML-PKDD},
  pubtype = {Conference},
  highlight = {false},
  note = {Full Paper, ADS Track, 65/236 = 27.5%},
  award = {},
  url = {https://link.springer.com/chapter/10.1007%2F978-3-030-67667-4_17}, 
}

@inproceedings{fang2020multi,
  title = {A Multi-criteria System for Recommending Taxi Routes with an Advance Reservation},
  author = {Fang, Jie-Yu and Lin, Fandel and Hsieh, Hsun-Ping},
  booktitle = {Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)},
  pages = {308--322},
  year = {2020},
  organization = {Springer International Publishing Cham},
  topic = {Spatial AI; Geographic Information Science; Human Mobility},
  venue = {ECML-PKDD},
  pubtype = {Conference},
  highlight = {false},
  note = {Full Paper, ADS Track, 65/236 = 27.5%},
  award = {},
  url = {https://link.springer.com/chapter/10.1007%2F978-3-030-67667-4_19}, 
}

@inproceedings{lin2020goal,
  title = {A Goal-prioritized Algorithm for Additional Route Deployment on Existing Mass Transportation System},
  author = {Lin, Fandel and Hsieh, Hsun-Ping},
  booktitle = {IEEE International Conference on Data Mining (IEEE ICDM)},
  pages = {1130--1135},
  year = {2020},
  organization = {IEEE},
  topic = {Spatial AI; Geographic Information Science; Transportation},
  venue = {IEEE ICDM},
  pubtype = {Conference},
  highlight = {false},
  note = {Short Paper, 183/930 = 19.7%},
  award = {},
  url = {https://ieeexplore.ieee.org/abstract/document/9338323}, 
}

@article{hsieh2022recommending,
  title = {Recommending Taxi Routes with an Advance Reservation--A Multi-criteria Route Planner},
  author = {Hsieh, Hsun-Ping and Lin, Fandel},
  journal = {International Journal of Urban Sciences (RJUS)},
  volume = {26},
  number = {1},
  pages = {162--183},
  year = {2022},
  publisher = {Routledge},
  topic = {Spatial AI; Geographic Information Science; Human Mobility},
  venue = {RJUS},
  pubtype = {Journal},
  highlight = {false},
  note = {SSCI, IF=3.0},
  award = {},
  url = {https://www.tandfonline.com/doi/abs/10.1080/12265934.2021.1894474}, 
}

@article{lin2021joint,
  title = {A Joint Passenger Flow Inference and Path Recommender System for Deploying New Routes and Stations of Mass Transit Transportation},
  author = {Lin, Fandel and Hsieh, Hsun-Ping},
  journal = {ACM Transactions on Knowledge Discovery from Data (ACM TKDD)},
  volume = {16},
  number = {1},
  pages = {1--36},
  year = {2021},
  publisher = {ACM New York, NY},
  topic = {Spatial AI; Geographic Information Science; Data Mining; Transportation},
  venue = {ACM TKDD},
  pubtype = {Journal},
  highlight = {false},
  note = {SCIE, IF=4.2},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3451393}, 
}

@article{hsieh2021inferring,
  title = {Inferring Long-term Demand of Newly Established Stations for Expansion Areas in Bike Sharing System},
  author = {Hsieh, Hsun-Ping and Lin, Fandel and Jiang, Jiawei and Kuo, Tzu-Ying and Chang, Yu-En},
  journal = {Applied Sciences},
  volume = {11},
  number = {15},
  pages = {6748},
  year = {2021},
  publisher = {MDPI},
  topic = {Spatial AI; Data Mining},
  venue = {Applied Sciences},
  pubtype = {Journal},
  highlight = {false},
  note = {SCIE, IF=2.8},
  award = {},
  url = {https://www.mdpi.com/2076-3417/11/15/6748}, 
}

@inproceedings{wu2021dual,
  title = {Dual-attention multi-scale graph convolutional networks for highway accident delay time prediction},
  author = {Wu, I-Ying and Lin, Fandel and Hsieh, Hsun-Ping},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
  pages = {554--563},
  year = {2021},
  topic = {Spatial AI; Data Mining; Transportation},
  venue = {ACM SIGSPATIAL},
  pubtype = {Conference},
  highlight = {false},
  note = {Full Paper, 34/152 = 22.4%},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3474717.3484259}, 
}

@inproceedings{lin2021conntrans,
  title = {Conntrans: a two-stage concentric annealing approach for multi-criteria distributed competitive stationary resource searching},
  author = {Lin, Fandel and Hsieh, Hsun-Ping},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
  pages = {163--174},
  year = {2021},
  topic = {Spatial AI; Geographic Information Science; Combinatorial Optimization},
  venue = {ACM SIGSPATIAL},
  pubtype = {Conference},
  highlight = {false},
  note = {Full Paper, 34/152 = 22.4%},
  award = {Best Paper Finalist},
  url = {https://dl.acm.org/doi/10.1145/3474717.3483926}, 
}

@article{hsieh2022decision,
  title = {A Decision Framework to Recommend Cruising Locations for Taxi Drivers under the Constraint of Booking Information},
  author = {Hsieh, Hsun-Ping and Lin, Fandel and Chen, Nai-Yu and Yang, Tzu-Hsin},
  journal = {ACM Transactions on Management Information Systems (ACM TMIS)},
  volume = {13},
  number = {3},
  pages = {1--30},
  year = {2022},
  publisher = {ACM New York, NY},
  topic = {Spatial AI; Human Mobility},
  venue = {ACM TMIS},
  pubtype = {Journal},
  highlight = {false},
  note = {ESCI, IF=2.5},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3490687}, 
}

@article{lin2022traveling,
  title = {Traveling Transporter Problem: Arranging a New Circular Route in a Public Transportation System Based on Heterogeneous Non-monotonic urban Data},
  author = {Lin, Fandel and Hsieh, Hsun-Ping},
  journal = {ACM Transactions on Intelligent Systems and Technology (ACM TIST)},
  volume = {13},
  number = {3},
  pages = {1--25},
  year = {2022},
  publisher = {ACM New York, NY},
  topic = {Spatial AI; Geographic Information Science; Combinatorial Optimization; Transportation},
  venue = {ACM TIST},
  pubtype = {Journal},
  highlight = {false},
  note = {SCIE, IF=5.0},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3510034}, 
}

@article{lin2022grid,
  title = {A Grid-based Two-stage Parallel Matching Framework for Bi-objective Euclidean Traveling Salesman Problem},
  author = {Lin, Fandel and Hsieh, Hsun-Ping},
  journal = {ACM Transactions on Spatial Algorithms and Systems (ACM TSAS)},
  volume = {8},
  number = {4},
  pages = {1--33},
  year = {2022},
  publisher = {ACM New York, NY},
  topic = {Spatial AI; Combinatorial Optimization},
  venue = {ACM TSAS},
  pubtype = {Journal},
  highlight = {false},
  note = {ESCI, IF=1.9},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3526025}, 
}

@article{lin2022multicriteria,
  title = {Multicriteria Route Planning for In-operation Mass Transit under Urban Data},
  author = {Lin, Fandel and Hsieh, Hsun-Ping},
  journal = {Applied Sciences},
  volume = {12},
  number = {6},
  pages = {3127},
  year = {2022},
  publisher = {MDPI},
  topic = {Spatial AI; Transportation},
  venue = {Applied Sciences},
  pubtype = {Journal},
  highlight = {false},
  note = {SCIE, IF=2.7},
  award = {},
  url = {https://www.mdpi.com/2076-3417/12/6/3127}, 
}

@inproceedings{lin2023machine,
  title = {A Machine-learning Approach to Recognizing Teaching Beliefs in Narrative Stories of Outstanding Professors},
  author = {Lin, Fandel and Guo, Ding-Ying and Lin, Jer-Yann},
  booktitle = {International Conference on Artificial Intelligence in Education (AIED)},
  pages = {739--745},
  year = {2023},
  organization = {Springer Nature Switzerland Cham},
  topic = {Narrative Reasoning; Data Mining; Education},
  venue = {AIED},
  pubtype = {Conference},
  highlight = {false},
  note = {Short Paper, 67/251 = 26.7%},
  award = {},
  url = {https://link.springer.com/chapter/10.1007/978-3-031-36272-9_65}, 
}

@article{lin2023exploiting,
  title = {Exploiting Network Structure in Multi-criteria Distributed and Competitive Stationary-resource Searching},
  author = {Lin, Fandel and Hsieh, Hsun-Ping},
  journal = {ACM Transactions on Spatial Algorithms and Systems (ACM TSAS)},
  volume = {9},
  number = {4},
  pages = {1--33},
  year = {2023},
  publisher = {ACM New York, NY},
  topic = {Spatial AI; Geographic Information Science; Combinatorial Optimization},
  venue = {ACM TSAS},
  pubtype = {Journal},
  highlight = {false},
  note = {ESCI, IF=1.2},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3569937}, 
}

@inproceedings{lin2023indirect,
  title = {Indirect Cooperation in Distributed Stationary-resource Searching with Predefined Destinations},
  author = {Lin, Fandel and Knoblock, Craig A},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
  pages = {1--12},
  year = {2023},
  topic = {Spatial AI; Geographic Information Science; Combinatorial Optimization},
  venue = {ACM SIGSPATIAL},
  pubtype = {Conference},
  highlight = {false},
  note = {Full Paper, 38/189 = 20.1%},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3589132.3625571}, 
}

@inproceedings{lin2023exploiting_exploitingpolygonm,
  title = {Exploiting Polygon Metadata to Understand Raster Maps - Accurate Polygonal Feature Extraction},
  author = {Lin, Fandel and Knoblock, Craig A and Shbita, Basel and Vu, Binh and Li, Zekun and Chiang, Yao-Yi},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
  pages = {1--12},
  year = {2023},
  topic = {Spatial AI; Image Reasoning; Map Understanding},
  venue = {ACM SIGSPATIAL},
  pubtype = {Conference},
  highlight = {true},
  note = {Full Paper, 38/189 = 20.1%},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3589132.3625659}, 
}

@inproceedings{shbita2024constructing,
  title = {Constructing a Knowledge Graph of Historical Mining Data},
  author = {Shbita, Basel and Sharma, Namrata and Vu, Binh and Lin, Fandel and Knoblock, Craig A},
  booktitle = {International Workshop on Geospatial Linked Data (GeoLD @ ESWC)},
  pages = {1--14},
  year = {2024},
  topic = {Narrative Reasoning},
  venue = {ESWC},
  pubtype = {Workshop},
  highlight = {false},
  note = {},
  award = {},
  url = {https://usc-isi-i2.github.io/papers/shbita24-geold_ewsc.pdf}, 
}

@inproceedings{lin2024hierarchy,
  title = {A Hierarchy-aware Approach to Cross-region Spatial-temporal Inference of Unarchived Event in Urban Mobility Infrastructure},
  author = {Lin, Fandel and Hsieh, Hsun-Ping},
  booktitle = {International Conference on Database Systems for Advanced Applications (DASFAA)},
  pages = {214--224},
  year = {2024},
  organization = {Springer Nature Singapore Singapore},
  topic = {Spatial AI; Geographic Information Science; Data Mining},
  venue = {DASFAA},
  pubtype = {Conference},
  highlight = {false},
  note = {Short Paper, 239/971 = 24.6%},
  award = {},
  url = {https://link.springer.com/chapter/10.1007/978-981-97-5552-3_14}, 
}

@inproceedings{lin2024integrated,
  title = {An Integrated Approach to Multi-agent Scheduling with Bounded Objectives},
  author = {Lin, Fandel and Zhang, Han and Kumar, TK Satish and Knoblock, Craig A},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
  pages = {493--496},
  year = {2024},
  topic = {Spatial AI; Combinatorial Optimization},
  venue = {ACM SIGSPATIAL},
  pubtype = {Conference},
  highlight = {false},
  note = {Short Paper, 79/136 = 58.1%},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3678717.3691224}, 
}

@inproceedings{lin2024hierarchical,
  title = {A Hierarchical Voronoi Approach to Deploying New Charging Stations in an Existing Network},
  author = {Lin, Fandel and Knoblock, Craig A and Vu, Binh},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
  pages = {741--744},
  year = {2024},
  topic = {Spatial AI; Geographic Information Science; Transportation},
  venue = {ACM SIGSPATIAL},
  pubtype = {Conference},
  highlight = {true},
  note = {Competition Track},
  award = {ACM SIGSPATIAL GISCUP Top 5},
  url = {https://dl.acm.org/doi/10.1145/3678717.3700829}, 
}

@inproceedings{vu2024exploiting,
  title = {Exploiting Distant Supervision to Learn Semantic Descriptions of Tables with Overlapping Data},
  author = {Vu, Binh and Knoblock, Craig A and Shbita, Basel and Lin, Fandel},
  booktitle = {International Semantic Web Conference (ISWC)},
  pages = {116--134},
  year = {2024},
  organization = {Springer Nature Switzerland Cham},
  topic = {Narrative Reasoning},
  venue = {ISWC},
  pubtype = {Conference},
  highlight = {false},
  note = {Full Paper, 26/111 = 23.4%},
  award = {},
  url = {https://link.springer.com/chapter/10.1007/978-3-031-77850-6_7}, 
}

@inproceedings{vu2024results,
  title = {Results of GRAMS+ at SemTab 2024},
  author = {Vu, Binh and Knoblock, Craig A and Lin, Fandel},
  booktitle = {Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab @ ISWC)},
  pages = {79--83},
  year = {2024},
  topic = {Narrative Reasoning},
  venue = {ISWC},
  pubtype = {Conference},
  highlight = {false},
  note = {Competition Track},
  award = {},
  url = {https://ceur-ws.org/Vol-3889/paper6.pdf}, 
}

@inproceedings{shbita2025embedding,
  title = {Embedding Spatial and Semantic Contexts for Geo-entity Typing in Smart City Applications},
  author = {Shbita, Basel and Vu, Binh and Lin, Fandel and Knoblock, Craig A},
  booktitle = {International Smart City Workshop - Responsible Web and AI for Smart Cities (WebAndTheCity @ WWW)},
  pages = {1724--1732},
  year = {2025},
  topic = {Spatial AI; Image Reasoning; Narrative Reasoning},
  venue = {WWW},
  pubtype = {Workshop},
  highlight = {false},
  note = {},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3701716.3718325}, 
}

@inproceedings{tsou2025fog,
  title = {FOG: Interpretable Feature-oriented Graph Neural Networks for Tabular Data Prediction},
  author = {Tsou, Teng Yuan and Li, Pei-Xuan and Lin, Fandel and Hsieh, Hsun-Ping},
  booktitle = {Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)},
  pages = {29--40},
  year = {2025},
  organization = {Springer Nature Singapore Singapore},
  topic = {Data Mining},
  venue = {PAKDD},
  pubtype = {Conference},
  highlight = {false},
  note = {DSFA Session, 244/696 = 35.1%},
  award = {},
  url = {https://link.springer.com/chapter/10.1007/978-981-96-8298-0_3}, 
}

@inproceedings{vu2025domain,
  title = {A Domain-independent Approach for Semantic Table Interpretation},
  author = {Vu, Binh and Knoblock, Craig A and Lin, Fandel},
  booktitle = {International Semantic Web Conference (ISWC)},
  pages = {235--252},
  year = {2025},
  organization = {Springer Nature Switzerland Cham},
  topic = {Narrative Reasoning},
  venue = {ISWC},
  pubtype = {Conference},
  highlight = {false},
  note = {Full Paper, 34/171 = 19.9%},
  award = {},
  url = {https://doi.org/10.1007/978-3-032-09527-5_13}, 
}

@inproceedings{lin2025exploiting,
  title = {Exploiting Polygon Metadata to Recolor Historical Maps},
  author = {Lin, Fandel and Knoblock, Craig A and Vu, Binh and Chiang, Yao-Yi},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
  pages = {1122--1125},
  year = {2025},
  topic = {Spatial AI; Image Reasoning; Map Understanding},
  venue = {ACM SIGSPATIAL},
  pubtype = {Conference},
  highlight = {false},
  note = {Short Paper Track, 22/76 = 28.9%},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3748636.3763209}, 
}

@inproceedings{lin2025exploiting_exploitingpolygonm,
  title = {Exploiting Polygon Metadata to Colorize Draft Maps},
  author = {Lin, Fandel and Knoblock, Craig A and Vu, Binh and Shbita, Basel and Chiang, Yao-Yi},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
  pages = {1126--1129},
  year = {2025},
  topic = {Spatial AI; Image Reasoning; Map Understanding},
  venue = {ACM SIGSPATIAL},
  pubtype = {Conference},
  highlight = {false},
  note = {Short Paper Track, 22/76 = 28.9%},
  award = {Best Short Paper Award},
  url = {https://dl.acm.org/doi/10.1145/3748636.3763210}, 
}

@inproceedings{duan2025digmapper,
  title = {DIGMAPPER: A Modular System for Automated Geologic Map Digitization},
  author = {Duan, Weiwei and Chiang, Yao-Yi and Chen, Theresa and Gerlek, Michael P and Jang, Leeje and Kirsanova, Sofia and Knoblock, Craig A and Lin, Fandel and Lin, Yijun and Li, Zekun and Minton, Steven N},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
  pages = {717--728},
  year = {2025},
  topic = {Spatial AI; Image Reasoning; Map Understanding},
  venue = {ACM SIGSPATIAL},
  pubtype = {Conference},
  highlight = {false},
  note = {Industrial Track},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3748636.3764602}, 
}


@inproceedings{lin2025mover,
  title = {MoVER: Modeling User Heterogeneity with Enriched Trajectory Representations for Human Mobility Prediction},
  author = {Lin, Yijun and Lin, Fandel and Kim, Jina and Chiang, Yao-Yi},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)},
  pages = {1234--1237},
  year = {2025},
  topic = {Spatial AI; Geographic Information Science; Human Mobility},
  venue = {ACM SIGSPATIAL},
  pubtype = {Conference},
  highlight = {false},
  note = {Competition Track},
  award = {ACM SIGSPATIAL GISCUP 7th Place},
  url = {https://dl.acm.org/doi/10.1145/3748636.3771315}, 
}

@article{lin2026integrated,
  title = {An Integrated Approach to Multi-agent Scheduling with Bounded Objectives in an Urban Setting},
  author = {Lin, Fandel and Zhang, Han and Kumar, TK Satish and Knoblock, Craig A},
  journal = {ACM Transactions on Spatial Algorithms and Systems (ACM TSAS)},
  volume = {12},
  number = {1},
  pages = {1--35},
  year = {2026},
  publisher = {ACM New York, NY},
  topic = {Spatial AI; Combinatorial Optimization},
  venue = {ACM TSAS},
  pubtype = {Journal},
  highlight = {false},
  note = {},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3787460}, 
}

@article{zeng2026predicting,
  title = {Predicting Origin-destination Traffic with Advanced Spatio-temporal Networks},
  author = {Zeng, Bo-Yan and Chen, Yen-An and Yang, Shih-Hung and Lin, Fandel and Hsu, Donna and Hsieh, Hsun-Ping},
  journal = {Engineering Proceedings},
  volume = {120},
  number = {1},
  pages = {41},
  year = {2026},
  publisher = {MDPI},
  topic = {Spatial AI; Human Mobility},
  venue = {Engineering Proceedings},
  pubtype = {Journal},
  highlight = {false},
  note = {},
  award = {},
  url = {https://www.mdpi.com/2673-4591/120/1/41}, 
}

@article{li2026enhancing,
  title = {Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module},
  author = {Li, Pei-Xuan and Chou, Cheng-Ru and Liang, Wei-Yun and Lin, Fandel and Hsieh, Hsun-Ping},
  journal = {ACM Transactions on Intelligent Systems and Technology (ACM TIST)},
  volume = {17},
  number = {3},
  pages = {1--24},
  year = {2026},
  publisher = {ACM New York, NY},
  topic = {Spatial AI; Data Mining},
  venue = {ACM TIST},
  pubtype = {Journal},
  highlight = {false},
  note = {},
  award = {},
  url = {https://dl.acm.org/doi/10.1145/3795517}, 
}