Selected Publications

  • Pei-Xuan Li,　Yu-En Chang, Ming-Chun Wei, Hsun-Ping Hsieh*. "Estimating Future Financial Development of Urban Areas for Deploying Bank Branches: A Local-Regional Interpretable Model." ACM Transactions on Management Information Systems (TMIS), 2024.
  • Pei-Xuan Li, Hsun-Ping Hsieh*, Yang Fan Chiang, Ding-You Wu, Ching-Chung Ko. "Enhancing Robust Liver Cancer Diagnosis: A Contrastive Multi-Modality Learner with Lightweight Fusion and Effective Data Augmentation." ACM Transactions on Computing for Healthcare, 2024.
  • Fandel Lin, Hsun-Ping Hsieh*, "A Hierarchy-Aware Approach to Cross-Region Spatial-Temporal Inference of Unarchived Event in Urban Mobility Infrastructure." The International Conference on Database Systems for Advanced Applications (DASFAA’24), 2024.
  • Pei-Xuan Li, Hsun-Ping Hsieh*, "Predicting Fine-grained Dengue Fever Risk Using Multi-View Graph Fusion RNNs with Approximation for Sensor-less Locations." ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'23), 2023.
  • Yang Fan Chiang, Pei-Xuan Li, Ding-You Wu, Hsun-Ping Hsieh*, "Exploring Feature Fusion from A Contrastive Multi-Modality Learner for Liver Cancer Diagnosis." ACM Multimedia Asia, 2023.
  • Fandel Lin, Hsun-Ping Hsieh*. "Exploiting Network Structure in Multi-Criteria Distributed and Competitive Stationary-Resource Searching." ACM Transactions on Spatial Algorithms and Systems (TSAS), 2023.
  • Yang Fan Chiang, Chun-Wei Shen, Jhe-Wei Tsai, Pei-Xuan Li, Tzu-Chang Lee, Hsun-Ping Hsieh*, "ParkFlow: Intelligent Dispersal for Mitigating Parking Shortages Using Multi-Granular Spatial-Temporal Analysis."ACM International Conference on Information and Knowledge Management (CIKM'23), 2023.
  • Yin-Wei Chiu, Hsiao-Ching Huang, Cheng-Ju Lee, Hsun-Ping Hsieh*, "PEPO: Petition Executing Processing Optimizer Based on Natural Language Processing." ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23), 2023.
  • Hsun-Ping Hsieh*, Tzu-Chang Lee, Shih-Yu Lai, Pei-Chi Tsai, Tzu-Hsin Hsieh, "Tzu-Chang Lee, Shih-Yu Lai, Pei-Chi Tsai, Tzu-Hsin Hsieh." Australasian Conference on Information Systems, 2023.
  • Hsin-Wei Li, Hsun-Ping Hsieh, Sok-Ian Sou*. "Transient Group Recommendation for Shared Environment using Check-in and Tag Data." IEEE International Conference on Knowledge Innovation and Invention, 2023 (Best paper award).
  • Shih-Han Chen, Sok-Ian Sou*, Hsun-Ping Hsieh. "Top-N music recommendation framework for precision and novelty under diversity group size and similarity." Journal of Intelligent Information Systems, 1-26, 2023.
  • Pei-Xuan Li,　Yu-Yun Huang, Chris Shei, Hsun-Ping Hsieh*. "ExoFIA: Deep Exogenous Assistance in the Prediction of the Influence of Fake News with Social Media Explainability." Applied Sciences, 2023.
  • Zi-Yi Lu, Hsun-Ping Hsieh*. "Survival Factors Analysis of Out-of-Hospital Cardiac Arrest Patients via Effective Data Cleaning Techniques and Explainable Machine Learning." The 28th International Conference on Technologies and Applications of Artificial Intelligence, 2023.
  • Hsun-Ping Hsieh*, Bao-Hong Lai, Yu-Wen Chen, Yu-En Chang. "Multi-Performance Estimation for Deploying Bank Branches Based on a Multi-task Attentive Tree-enhanced Model." IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE- TETCI), 2022.
  • Fandel Lin, Hsun-Ping Hsieh*. "Traveling Transporter Problem: Arranging New Circular Route in Public Transportation System Based on Heterogeneous Non-Monotonic Urban Data." ACM Transactions on Intelligent Systems and Technology (TIST), 2022.
  • Hsun-Ping Hsieh, Ding-You Wu, Kuo-Chuan Hung, Sher-Wei Lim, Sher-Wei Lim, Yang Fan-Chiang, Ching-Chung Ko*. "Machine Learning for Prediction of Recurrence in Parasagittal and Parafalcine Meningiomas: Combined Clinical and MRI Texture Features." Journal of Personalized Medicine, 2022.
  • Hsun-Ping Hsieh, Fandel Lin. "A Decision Framework to Recommend Cruising Locations for Taxi Drivers under the Constraint of Booking Information." ACM Transactions on Management Information Systems (TMIS), 2022.
  • Yan-Jen Chen, Hsun-Ping Hsieh, Kuo-Chuan Hung, Yun-Ju Shih, Sher-Wei Lim, Yu-Ting Kuo, Jeon-Hor Chen, Ching-Chung Ko. "Deep Learning for Prediction of Progression and Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features." Frontiers in Oncology, 2022.
  • Fandel Lin, Hsun-Ping Hsieh*. "A Grid-Based Two-Stage Parallel Matching Framework for Bi-Objective Euclidean Traveling Salesman Problem." ACM Transactions on Spatial Algorithms and Systems (TSAS), 2022.
  • Hsun-Ping Hsieh, Su Wu,Ching-Chung Ko, Chris Shei, Zheng-Ting Yao and Yu-Wen Chen. "Forecasting Fine-Grained Air Quality for Locations without Monitoring Stations Based on a Hybrid Predictor with Spatial-Temporal Attention Based Network." Applied Sciences, 2022.
  • Chen-Lin Wu, Hsun-Ping Hsieh*, Jiawei Jiang, Yi-Chieh Yang, Chris Shei, Yu-Wen Chen. "MUFFLE: Multi-modal Fake News Influence Estimator on Twitter." Applied Sciences, 2022.
  • Fandel Lin, Hsun-Ping Hsieh*. "Multi-Criteria Route Planning for In-Operation Mass Transit under Urban Data." Applied Sciences, 2022.
  • Fandel Lin, Hsun-Ping Hsieh*. "A Joint Passenger Flow Inference and Path Recommender System for Deploying New Routes and Stations of Mass Transit Transportation." ACM Transactions on Knowledge Discovery from Data (TKDD), 2021.
  • I-Ying Wu, Fandel Lin, Hsun-Ping Hsieh*. " Highway Accident Delay Time Prediction Using Deep Learning." ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'21).
  • Fandel Lin, Hsun-Ping Hsieh*. "Conntrans: A Two-Stage Concentric Annealing Approach for Multi-Criteria Distributed Competitive Stationary Resource Searching." ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'21). (Best Paper Candidate)
  • Yu-En Chang, Hsun-Ping Hsieh*. "An Interpretable Deep Learning Framework for Assessing Financial Potential of Urban Spaces." ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'21).(Best Paper Winner of ACM Student Research Competition)
  • Hsun-Ping Hsieh*, Fandel Lin, Jiawei Jiang, Tzu-Ying Kuo, Yu-En Chang. "Inferring Long-Term Demand of Newly Established Stations for Expansion Areas in Bike Sharing System." Applied Sciences, 2021.
  • Hsun-Ping Hsieh*, Jiawei Jiang, Tzu-Hsin Yang, Renfen Hu, Cheng-Lin Wu. "Predicting the Success of Mediation Requests Using Case Properties and Textual Information for Reducing the Burden on the Court." ACM Digital Government: Research and Practice (DGOV), 2021. (to appear)
  • Bao-Hong Lai, Hsun-Ping Hsieh*. "Object Detection on Embedded Systems for Traffic in Asian Countries." ACM International Conference on Multimedia Retrieval (ICMR’21), 2021. (to appear)
  • Hsun-Ping Hsieh, Fandel Lin. "AI Governance: Advanced Urban Computing on Informatics Forecasting and Route Planning." The 26th International Conference on Database Systems for Advanced Applications(DSAFAA'21), 2021. (tutorial paper)
  • Hsun-Ping Hsieh*, Fandel Lin. "Recommending taxi routes- a multi-criteria route planner." International Journal of Urban Sciences, 2021. (to appear)
  • JiaWei Jiang, Yu-Chen Chen, Hsun-Ping Hsieh*. "Detection of Illegal Parking Events Using Spatial-Temporal Features." ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems(SIGSPATIAL'20), 2020. (short paper)
  • Fandel Lin, Hsun-Ping Hsieh*. "A Goal-Prioritized Algorithm for Additional Route Deployment on Existing Mass Transportation System." The 20th IEEE International Conference on Data Mining (ICDM 2020), 2020. (top conference of data mining, acceptance rate = 19%)
  • Jie-Yu Fang, Fandel Lin, Hsun-Ping Hsieh*. "A Multi-Criteria System for Recommending Taxi Routes with an Advance Reservation." The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases” (ECML-PKDD'2020), 2020. (top conference, acceptance rate = 19%).
  • Fandel Lin, Hsun-Ping Hsieh*, Jie-Yu Fang. "A Route-Affecting Region Based Approach for Feature Extraction in Transportation Route Planning." The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases” (ECML-PKDD'2020), 2020. (top conference, acceptance rate = 19%).
  • Fandel Lin, Hsun-Ping Hsieh*. "Customizing Your Own Route with QQIP. A Quantitative and Qualitative Itinerary Planner for New Transportation Routes." ACM The Web Conference (WWW'2020), 2020. (top conference demo paper, acceptance rate ≈ 17%)
  • Fandel Lin, Hsun-Ping Hsieh*. "A Convolutional Approach for Estimating Popularity of New Branch Stores." ACM The Web Conference (WWW'2020), 2020. (top conference poster paper)
  • Fandel Lin, Shiuan-Tyng Lin, Jie-Yu Fang, Hsun-Ping Hsieh*. "Traffic Light Control with Real-Time Vehicle License Plate Recognition." ACM The Web Conference (WWW'2020), 2020. (top conference poster paper)
  • Hsun-Ping Hsieh, Fandel Lin, Cheng-Te Li, Ian En-Hsu Yen, Hsin-Yu Chen. "Temporal Popularity Prediction of Locations for Geographical Placement of Retail Stores." Journal of Knowledge and Information Systems(KAIS), 2019.
  • Hsun-Ping Hsieh, Cheng-Te Li. "Inferring Online Social Ties from Offline Geographical Activities." ACM Transactions on Intelligent Systems and Technology (TIST), 2019.
  • Fandel Lin, Hsun-Ping Hsieh. "An Intelligent and Interactive Route Planning Maker for Deploying New Transportation Services." ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems(SIGSPATIAL'2018), 2018.
  • Ren-Hao Chen, Hsun-Ping Hsieh Min Tan.A Graph-based Analytic Approach to Model the Correlations between Air Quality and City Dynamics. The 11th IEEE International Conference on Ubi-Media Computing, 2018. (Ubi-Media' 18)
  • Po-Hao Chen, Ren-Hao Chen, Li-Yuan Wang, Hsun-Ping Hsieh. Filling Missing Values of Smart Meters Based on A Joint Collaborative Filtering and Support Vector Regression Framework. The 11th IEEE International Conference on Ubi-Media Computing, 2018. (Ubi-Media' 18)
  • Cheng-Te Li, Hsin-Yu Chen, Ren-Hao Chen, Hsun-Ping Hsieh. On Route Planning by Inferring Visiting Time, Modeling User Preferences, and Mining Representative Trip Patterns. Knowledge and Information Systems(KAIS), 2017. (accepted, SCI, IF=2.004)
  • Rui Yan, Cheng-Te Li, Hsun-Ping Hsieh, Po Hu, Xiaohua Hu, and Tingting He. Inferring Bi-directional Influence Probabilities for Socialized Language Model Smoothing in Social Media. ACM International Conference on World Wide Web (WWW'16), Montreal, Canada, 2016. (accepted, accepting rate = 16%)
  • Hsun-Ping Hsieh and Cheng-Te Li. Will I Win Your Favor? Predicting the Success of Altruistic Requests. The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'16), Auckland, New Zealand, 2016. (accepted, accepting rate = 13%)
  • Cheng-Te Li and Hsun-Ping Hsieh. Geo-Social Media Analytics. The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'16), Auckland, New Zealand, 2016. (tutorial)
  • Hsun-Ping Hsieh, and Cheng-Te Li. Dissecting Urban Noises from Heterogeneous Geo-Social Media and Sensor Data. ACM International Conference on Multimedia (MM'15), Brisbane, Australia, 2015.
  • Hsun-Ping Hsieh, Rui Yan and Cheng-Te Li. Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints. ACM International Conference on Knowledge and Information Management (CIKM'15), Melbourne, Australia, 2015.
  • Hsun-Ping Hsieh, Shou-De Lin and Yu Zheng. Inferring Air Quality for Station Location Recommendation Based on Urban Big Data. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15). Sydney, Australian, 2015.
  • Hsun-Ping Hsieh, Cheng-Te Li and Rui Yan. I See You: Person-of-Interest Search in Social Networks. ACM International Conference on Research and Development in Information Retrieval (SIGIR'15). Santiago, Chile, 2015.
  • Hsun-Ping Hsieh, Cheng-Te Li and Shou-De Lin. Estimating Potential Customers Anywhere and Anytime on Location-based Social Networks. The 30th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'15). Porto, Portugal, 2015.
  • Hsun-Ping Hsieh, Cheng-Te Li and Xiaoqing Gao. T-gram: a Time-aware Language Model to Predict Human Mobility. AAAI International Conference on Web and Social Media (ICWSM'15), Oxford, UK, May.26-29, 2015. (accepted)
  • Tzu-Chi Yen, Tzu-Yun Lin, Ching-Yuan Yeh, Hsun-Ping Hsieh, and Cheng-Te Li. An Interactive Visualization System to Analyze and Predict Urban Construction Dynamics. ACM SIGKDD International Workshop on Urban Computing (UrbComp'15), in conjunction with KDD 2015, Sydney, Australia, 2015.
  • Cheng-Te Li, and Hsun-Ping Hsieh. Geo-Social Media Analytics. ACM International World Wide Web Conference (WWW'15), Florence, Italy, May.18-22, 2015 (tutorial presentation)
  • Hsun-Ping Hsieh and Cheng-Te Li. Mining and Planning Time-aware Routes Using Location Check-in Data. ACM International Conference on Knowledge and Information Management (CIKM'14), Shanghai, China, 2014.
  • Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. "Measuring and Recommending Time-Sensitive Routes from Location-based Data." ACM Transactions on Intelligent Systems and Technology (TIST), 2014.
    Awarded by IJCAI 2015 Journal Track.
  • Hsun-Ping Hsieh, and Cheng-Te Li. “Inferring Visiting Time Distributions of Locations from Incomplete Check-in Data.” ACM International World-Wide Web Conference (WWW'14), Seoul, Korea, 2014.(poster paper)
  • Hsun-Ping Hsieh, and Cheng-Te Li. “Inferring Social Relationships from Mobile Sensor Data.” ACM International World-Wide Web Conference (WWW'14), Seoul, Korea, 2014 .(poster paper)
  • Cheng-Te Li, and Hsun-Ping Hsieh. MobiCrowd: Simulating Crowds with Periodic and Social Mobility. 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'14). Paris, France, 2014.(demo)
  • Hsun-Ping Hsieh and Cheng-Te Li. Mining Time-aware Transit Patterns for Route Recommendation in Big Check-in Data. International Workshop on Pattern Mining and Application of Big Data (BigPMA). (in conjunction with PAKDD 2014), Tainan, Taiwan, 2014.
    Best Paper Award.
  • Hsun-Ping Hsieh, Thomas Sandholm and Cheng-Te Li. Route Planning and Visualization Using Geo-Social Media Data. The 8TH International AAAI Conference on Weblogs and Social Media(ICWSM'14). Ann Arbor,MI 2014.(tutorial)
  • Hsun-Ping Hsieh, and Shou-De Lin. "On air quality inference with big urban data." Asia-Oceania Top University League on Engineering(AOTULE) Conference, 2014.
  • Hsun-Ping Hsieh and Cheng-Te Li. Planning Routes and Locations in Geo-Social Media. IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM'14), Beijing, China, Aug.17-20, 2014. (tutorial)
  • Hsun-Ping Hsieh, Cheng-Te Li and Shou-De Lin. “Time-Sensitive Route Planning Using Location-based Data.” IEEE International Conference on Data Mining (ICDM'13). Dallas, Texas, USA, Dec.7-10, 2013. (Ph.D. Forum full paper).
  • Yu Zheng, Furui Liu, and Hsun-Ping Hsieh. “U-Air: When Urban Air Quality Inference Meets Big Data.” ACM SIGKDD conference on Knowledge Discovery and Data Mining(KDD'13). Chicago, USA, 2013. (acceptance rate=17%) [Link]
  • Hsun-Ping Hsieh and Cheng-Te Li. “Constructing Routes with User Preference from Location Check-in Data.” ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013). Zurich, Switzerland, 2013.
  • Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, and Shou-De Lin. Opinion Diffusion and Analysis on Social Networks. Encyclopedia of Social Network Analysis and Mining (ESNAM), 2013.
  • Chris Shei, and Hsun-Ping Hsieh. “Linkit: a CALL system for learning Chinese characters, words, and phrases”. Computer Assisted Language Learning (CALL) 2012, Volume 25, Issue 4, 2012.
  • Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. “Exploiting Large-Scale Check-in Data to Recommend Time-Sensitive Routes.” ACM SIGKDD International Workshop on Urban Computing (UrbComp'12). Beijing, China, 2012. (acceptance rate=20%)
  • Cheng-Te Li, Hsun-Ping Hsieh, and Shou-De Lin. “CrowDiffuse: Information Diffusion over Crowds with Social Network.” ACM International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH'12). Los Angeles, California, USA, 2012.(poster paper)
  • Hsun-Ping Hsieh, and Cheng-Te Li. “Composing Traveling Paths from Location-Based Services.” AAAI International Conference on Weblogs and Social Media (ICWSM'12), Dublin, Ireland, 2012.
    Student Travel Award.
  • Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. “Frequent temporal social behavior search in information networks.” ACM International World-Wide Web Conference (WWW'12), Lyon, France, 2012. (poster paper,acceptance rate=28%)
  • Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. “TripRec: recommending trip routes from large scale check-in data.” ACM International World-Wide Web Conference (WWW'12), Lyon, France, 2012. (poster paper, acceptance rate=28%)
  • Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin, and Man-Kwan Shan. : “Finding influential seed successors in social networks.” ACM International World-Wide Web Conference (WWW'12), Lyon, France, 2012. (poster paper,acceptance rate=28%)
  • Hsun-Ping Hsieh, Cheng-Te Li , and Shou-De Lin. BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data. IEEE International Conference on Data Mining (ICDM'11). Vancouver, Canada, Dec.11-14, 2011.(demo system)
  • Cheng-Te Li, Hsun-Ping Hsieh, and Shou-De Lin. PhotoFeel: Feeling Your Photo Collection by Graph-based Audiovisual Flocking. ACM International Conference on Multimedia (MM'11). Scottsdale, Arizona, USA, Nov.28-Dec.1, 2011. (acceptance rate=30%)
  • Hsiang-Fu Yu, Hung-Yi Lo, Hsun-Ping Hsieh et al. “Feature engineering and classifier ensemble for KDD Cup 2010”, Journal of Machine Learning Research, Workshop and Conference Proceedings, 2011.
    Dual-champion of ACM KDDCUP 2010.
  • Hsun-Ping Hsieh, and Cheng-Te Li. Mining Temporal Subgraph Patterns in Heterogeneous Information Networks. IEEE International Conference on Social Computing (SocialCom'10), Minneapolis, Minnesota, USA, Aug.20-22, 2010. (acceptance rate=28%)
  • Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, and Shou-De Lin. SocioCrowd: A Social-Network-Based Framework for Crowd Simulation. ACM International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH'10), Los Angeles, USA, 2010.
    Best Student Poster Nomination.
    ACM Student Research Competition Travel Award.

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