Pei-Xuan Li, Yu-Yun Huang, Chris Shei, Hsun-Ping Hsieh*. (2023) " ExoFIA: Deep Exogenous Assistance in the Fake News Influence Predictor with Social Media Explanability." Applied Sciences, 2023.

Shih-Han Chen, Sok-Ian Sou*, Hsun-Ping Hsieh. (2023) " Top-N Music Recommendation Framework for Precision and Novelty under Diversity Group Size and Similarity." Journal of Intelligent Information Systems, 2023.

Fandel Lin, Hsun-Ping Hsieh*. (2022) " Exploiting Network Structure in Multi-Criteria Distributed and Competitive Stationary-Resource Searching." ACM Transactions on Spatial Algorithms and Systems (TSAS). (Top Transactions Journal of Spatial computing)

Fandel Lin, Hsun-Ping Hsieh*. (2021) "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. (Top Transactions Journal of Data Science)

Fandel Lin, Hsun-Ping Hsieh*. (2022) " A Grid-Based Two-Stage Parallel Matching Framework for Bi-Objective Euclidean Traveling Salesman Problem." ACM Transactions on Spatial Algorithms and Systems (TSAS), Volume 8 Issue 4, 2022. (Top Transactions Journal of Spatial computing)

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.

Hsun-Ping Hsieh*, Su Wu, Ching-Chung Ko, Chris Shei, Zheng-Ting Yao, Yu-Wen Chen. (2022) " 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.

Hsun-Ping Hsieh*, Fandel Lin, Jiawei Jiang, Tzu-Ying Kuo, Yu-En Chang. (2021) "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 Hi. (2021) " 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, 2021.

Fandel Lin, Hsun-Ping Hsieh. "Multi-Criteria Route Planning for In-Operation Mass Transit under Urban Data." Applied Sciences, 2022.

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.(SCI, IF=2.004)

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. (SCI, IF=2.004)

Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin. Measuring and Recommending Time-Sensitive Routes from Location-based Data. ACM Transactions on Intelligent Systems and Technology (TIST), 2014. (SCI, 5-year impact factor = 10.47)

Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin. Opinion Diffusion and Analysis on Social Networks. Encyclopedia of Social Network Analysis and Mining (ESNAM), 2013.

Chris Shei, Hsun-Ping Hsieh. Linkit: a CALL system for learning Chinese characters, words, and phrases. Computer Assisted Language Learning (CALL), 2012.

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 (JMLR), 2011.

Yang Fan Chiang, Chun-Wei Shen, Jhe-Wei Tsai, Pei-Xuan Li, Tzu-Chang Lee and 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

Hsun-Ping Hsieh*, Tzu-Chang Lee, Shih-Yu Lai, Pei-Chi Tsai, Tzu-Hsin Hsieh."Enhancing Urban Crowd Management through Predictive Modeling System with Diverse Geospatial Datasets." Australasian Conference on Information Systems, 2023.

Pei-Xuan Li, Hsun-Ping Hsieh*. "Forecasting Dengue Fever Risk in Regions without Sensors Using Multi-View Graph Fusion Recurrent Neural Network", ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'23), 2023. (top conference)

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.

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

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.

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), 2021. (top conference, acceptance rate = 22%)

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), 2021. (top conference, acceptance rate = 22%)

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)

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)

Hsin-Wei Li, Sok-Ian Sou and Hsun-Ping Hsieh. "Room-based Playlist Arrangement System using Group Recommendation", International Computer Symposium (ICS), Tainan, Taiwan, Dec., 2020.

Yi-Chen Wang, Pei-Lin Yang, Sok-Ian Sou* and Hsun-Ping Hsieh. "The MuTube Dataset for Music Listening History Retrieval and Recommendation System", International Computer Symposium (ICS), Tainan, Taiwan, Dec., 2020.

Shih-Han Chen, Sok-Ian Sou and Hsun-Ping Hsieh. "HPCF: Hybrid Music Group Recommendation System based on Item Popularity and Collaborative Filtering", International Computer Symposium (ICS), Tainan, Taiwan, Dec., 2020.

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. " 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, acceptance rate = 19%)

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)

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, 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%)

Hsun-Ping Hsieh, Fandel Lin. "An intelligent and interactive route planning maker for deploying new transportation services." The 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems(SIGSPATIAL'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)

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)

Hsun-Ping Hsieh, 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. (accepting rate = 13%)

Rui Yan, Cheng-Te Li, Hsun-Ping Hsieh, Po Hu, Xiaohua Hu, 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. (accepting rate = 16%)

Hsun-Ping Hsieh, Shou-De Lin, 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. (accepting rate = 19%)

Hsun-Ping Hsieh, Rui Yan, 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. (accepting rate = 25%)

Hsun-Ping Hsieh, Cheng-Te Li. Dissecting Urban Noises from Heterogeneous Geo-Social Media and Sensor Data. ACM International Conference on Multimedia (MM'15), Brisbane, Australia, 2015. (accepting rate = 29%)

Hsun-Ping Hsieh, Cheng-Te Li, 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. (accepting rate = 29%)

Hsun-Ping Hsieh, Cheng-Te Li, 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. (accepting rate = 23%)

Hsun-Ping Hsieh, Cheng-Te Li, 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, 2015. (accepting rate = 30%)

Tzu-Chi Yen, Tzu-Yun Lin, Ching-Yuan Yeh, Hsun-Ping Hsieh, 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.

Hsun-Ping Hsieh, 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. (accepting rate = 21%)

Hsun-Ping Hsieh, 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. (accepting rate = 20%)

Hsun-Ping Hsieh, Shou-De Lin. On Air Quality Inference with Big Urban Data. Asia-Oceania Top University League on Engineering(AOTULE) Conference, 2014.

Yu Zheng, Furui Liu, 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%) Microsoft Online Service: http://www.uairquality.com/

Hsun-Ping Hsieh, 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.

Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin. Frequent temporal social behavior search in information networks. ACM International World Wide Web Conference (WWW'12), Lyon, France, 2012. (poster paper, accepting rate = 28%)

Hsun-Ping Hsieh, Cheng-Te Li, 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, accepting rate = 16%)

Hsun-Ping Hsieh, Cheng-Te Li, 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%)

Hsun-Ping Hsieh, Cheng-Te Li. Composing Traveling Paths from Location-Based Services. AAAI International Conference on Weblogs and Social Media (ICWSM'12), Dublin, Ireland, 2012.

Hsun-Ping Hsieh, Cheng-Te Li, 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, 2011. (accepting rate = 21%)

Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin. PhotoFeel: Feeling Your Photo Collection by Graph-based Audiovisual Flocking. ACM International Conference on Multimedia (MM'11). Scottsdale, Arizona, USA, 2011. (acceptance rate=30%)

Hsun-Ping Hsieh, Cheng-Te Li. Mining Temporal Subgraph Patterns in Heterogeneous Information Networks. IEEE International Conference on Social Computing (SocialCom'10), Minneapolis, Minnesota, USA, 2010. (acceptance rate=28%)

Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, 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.

Program Committee, ACM’s Special Interest Group on Knowledge Discovery and Data Mining (KDD) 2015-2024.

Program Committee, ACM CIKM International Conference on Information and Knowledge Management 2017-2021.

Program Committee, ACM the Web Confernece 2019-2022.

Program Committee, The International ACM SIGIR Conference on Research and Development in Information Retrieval 2016-2024

Program Committee, The International AAAI Conference on Web and Social Media (ICWSM) 2015-2022.

(Invited Talks) Mining Geo-Social Media for Urban Environment and Time-sensitive Recommendation. Alibaba

(Invited Talks)Smart City and Temporal Spatial Big data Application ，Taiwan Data Science Foundation

(International Tutorials) "Geo-Social Media Analytics." The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'16), Auckland, New Zealand, 2016.

(International Tutorials) "Geo-Social Media Analytics." ACM International World Wide Web Conference (WWW'15), Florence, Italy, 2015.

(International Tutorials) "Route Planning and Visualization Using Geo-Social Media Data." AAAI Conference on Weblogs and Social Media (ICWSM'14), Ann Arbor, MI, USA, 2014.

(International Tutorials) "Planning Routes and Locations in Geo-Social Media." IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM'14), Beijing, China, 2014.

(Invited Speaker) "When Geo-Social Media Meets Environmental Informatics," Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, 2015

(Invited Talks) Taiwan Ph.D. Representative Speaker, "On Air Quality Inference with Big Urban Data," The Asia-Oceania Top University League on Engineering Conference 2014, Melbourne, Australia, 2014

(Invited Talks) "The Future Trend of Geo-Social Computing," Pacific-Asia Conference on Knowledge Discovery and Data Mining, Tainan, Taiwan, 2014

(Invited Speaker) "My BMW-style Ph.D. Days," Department of Management Information System, National Central University, Taoyuan, Taiwan, 2014