SocioCrowd: a social-network-based framework for crowd simulation. - Cheng-Te Li; Hsun-Ping Hsieh; Tsung-Ting Kuo; Shou-De Lin (SIGGRAPH Posters, 2010)

Mining Temporal Subgraph Patterns in Heterogeneous Information Networks. - Hsun-Ping Hsieh; Cheng-Te Li (SocialCom/PASSAT, 2010)

BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data. - Hsun-Ping Hsieh; Cheng-Te Li; Shou-De Lin (ICDM Workshops, 2011)

PhotoFeel: feeling your photo collection with graph-based audiovisual flocking. - Cheng-Te Li; Hsun-Ping Hsieh; Shou-De Lin (ACM Multimedia, 2011)

Composing Traveling Paths from Location-Based Services. - Hsun-Ping Hsieh; Cheng-Te Li (ICWSM, 2012)

Exploiting large-scale check-in data to recommend time-sensitive routes. - Hsun-Ping Hsieh; Cheng-Te Li; Shou-De Lin (UrbComp@KDD, 2012)

CrowDiffuse: information diffusion over crowds with social network. - Cheng-Te Li; Hsun-Ping Hsieh; Shou-De Lin (SIGGRAPH Posters, 2012)

Frequent temporal social behavior search in information networks. - Hsun-Ping Hsieh; Cheng-Te Li; Shou-De Lin (WWW (Companion Volume), 2012)

TripRec: recommending trip routes from large scale check-in data. - Hsun-Ping Hsieh; Cheng-Te Li; Shou-De Lin (WWW (Companion Volume), 2012)

Finding influential seed successors in social networks. - Cheng-Te Li; Hsun-Ping Hsieh; Shou-De Lin; Man-Kwan Shan (WWW (Companion Volume), 2012)

Constructing trip routes with user preference from location check-in data. - Hsun-Ping Hsieh; Cheng-Te Li (UbiComp (Adjunct Publication), 2013)

Time-Sensitive Route Planning Using Location-Based Data. - Hsun-Ping Hsieh; Cheng-Te Li; Shou-De Lin (ICDM Workshops, 2013)

U-Air: when urban air quality inference meets big data. - Yu Zheng 004; Furui Liu; Hsun-Ping Hsieh (KDD, 2013)

MobiCrowd: simulating crowds with periodic and social mobility. - Cheng-Te Li; Hsun-Ping Hsieh (AAMAS, 2014)

Mining and Planning Time-aware Routes from Check-in Data. - Hsun-Ping Hsieh; Cheng-Te Li (CIKM, 2014)

Trip Router: A Time-Sensitive Route Recommender System. - Hsun-Ping Hsieh; Cheng-Te Li; Shou-De Lin (ICDM Workshops, 2014)

Traveling Path Recommendation Using Temporal Transit Patterns. - Hsun-Ping Hsieh; Cheng-Te Li (ICWSM, 2014)

Mining Time-Aware Transit Patterns for Route Recommendation in Big Check-in Data. - Hsun-Ping Hsieh; Cheng-Te Li (PAKDD Workshops, 2014)

Inferring social relationships from mobile sensor data. - Hsun-Ping Hsieh; Cheng-Te Li (WWW (Companion Volume), 2014)

Inferring visiting time distributions of locations from incomplete check-in data. - Hsun-Ping Hsieh; Cheng-Te Li (WWW (Companion Volume), 2014)

Measuring and Recommending Time-Sensitive Routes from Location-Based Data. - Hsun-Ping Hsieh; Cheng-Te Li; Shou-De Lin (ACM Trans. Intell. Syst. Technol., 2014)

Opinion Diffusion and Analysis on Social Networks. - Cheng-Te Li; Hsun-Ping Hsieh; Tsung-Ting Kuo; Shou-De Lin (Encyclopedia of Social Network Analysis and Mining, 2014)

Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints. - Hsun-Ping Hsieh; Rui Yan 001; Cheng-Te Li (CIKM, 2015)

T-Gram: A Time-Aware Language Model to Predict Human Mobility. - Hsun-Ping Hsieh; Cheng-Te Li; Xiaoqing Gao (ICWSM, 2015)

Inferring Air Quality for Station Location Recommendation Based on Urban Big Data. - Hsun-Ping Hsieh; Shou-De Lin; Yu Zheng 004 (KDD, 2015)

What Makes New York So Noisy?: Reasoning Noise Pollution by Mining Multimodal Geo-Social Big Data. - Hsun-Ping Hsieh; Tzu-Chi Yen; Cheng-Te Li (ACM Multimedia, 2015)

Dissecting Urban Noises from Heterogeneous Geo-Social Media and Sensor Data. - Hsun-Ping Hsieh; Rui Yan 001; Cheng-Te Li (ACM Multimedia, 2015)

Estimating Potential Customers Anywhere and Anytime Based on Location-Based Social Networks. - Hsun-Ping Hsieh; Cheng-Te Li; Shou-De Lin (ECML/PKDD (2), 2015)

I See You: Person-of-Interest Search in Social Networks. - Hsun-Ping Hsieh; Cheng-Te Li; Rui Yan 001 (SIGIR, 2015)

Geo-Social Media Analytics. - Cheng-Te Li; Hsun-Ping Hsieh (WWW (Companion Volume), 2015)

Will I Win Your Favor? Predicting the Success of Altruistic Requests. - Hsun-Ping Hsieh; Rui Yan 001; Cheng-Te Li (PAKDD (1), 2016)

Socialized Language Model Smoothing via Bi-directional Influence Propagation on Social Networks. - Rui Yan 001; Cheng-Te Li; Hsun-Ping Hsieh; Po Hu; Xiaohua Hu 001; Tingting He 003 (WWW, 2016)

An intelligent and interactive route planning maker for deploying new transportation services. - Fandel Lin; Hsun-Ping Hsieh (SIGSPATIAL/GIS, 2018)

On route planning by inferring visiting time, modeling user preferences, and mining representative trip patterns. - Cheng-Te Li; Hsin-Yu Chen; Ren-Hao Chen; Hsun-Ping Hsieh (Knowl. Inf. Syst., 2018)

SRC: an intelligent and interactive route planning maker for deploying new transportation services. - Fandel Lin; Hsun-Ping Hsieh (ACM SIGSPATIAL Special, 2018)

Opinion Diffusion and Analysis on Social Networks. - Cheng-Te Li; Hsun-Ping Hsieh; Tsung-Ting Kuo; Shou-De Lin (Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018)

Temporal popularity prediction of locations for geographical placement of retail stores. - Hsun-Ping Hsieh; Fandel Lin; Cheng-Te Li; Ian En-Hsu Yen; Hsin-Yu Chen (Knowl. Inf. Syst., 2019)

Inferring Online Social Ties from Offline Geographical Activities. - Hsun-Ping Hsieh; Cheng-Te Li (ACM Trans. Intell. Syst. Technol., 2019)

A Gaussian-Prioritized Approach for Deploying Additional Route on Existing Mass Transportation with Neural-Network-Based Passenger Flow Inference. - Fandel Lin; Jie-Yu Fang; Hsun-Ping Hsieh (CEC, 2020)

Detection of Illegal Parking Events Using Spatial-Temporal Features. - JiaWei Jiang; Yu-Chen Chen; Hsun-Ping Hsieh (SIGSPATIAL/GIS, 2020)

A Goal-Prioritized Algorithm for Additional Route Deployment on Existing Mass Transportation System. - Fandel Lin; Hsun-Ping Hsieh (ICDM, 2020)

HPCF: Hybrid Music Group Recommendation System based on Item Popularity and Collaborative Filtering. - Shih-Han Chen; Sok-Ian Sou; Hsun-Ping Hsieh (ICS, 2020)

Room-based Playlist Arrangement System using Group Recommendation. - Hsin-Wei Li; Sok-Ian Sou; Hsun-Ping Hsieh (ICS, 2020)

The MuTube Dataset for Music Listening History Retrieval and Recommendation System. - Yi-Chen Wang; Pei-Lin Yang; Sok-Ian Sou; Hsun-Ping Hsieh (ICS, 2020)

An Efficient Method for Recommending Branch Locations to Reduce the Transportation Distance between Stations and Urban Events. - Sheng-Ting Chien; Fandel Lin; Chiunghui Tsai; Hsun-Ping Hsieh (MDM, 2020)

A Multi-criteria System for Recommending Taxi Routes with an Advance Reservation. - Jie-Yu Fang; Fandel Lin; Hsun-Ping Hsieh (ECML/PKDD (4), 2020)

A Route-Affecting Region Based Approach for Feature Extraction in Transportation Route Planning. - Fandel Lin; Hsun-Ping Hsieh; Jie-Yu Fang (ECML/PKDD (4), 2020)

Customizing Your Own Route with QQIP. A Quantitative and Qualitative Itinerary Planner for New Transportation Routes. - Fandel Lin; Jie-Yu Fang; Hsun-Ping Hsieh (WWW (Companion Volume), 2020)

A Convolutional Approach for Estimating Popularity of New Branch Stores. - Fandel Lin; Hsun-Ping Hsieh (WWW (Companion Volume), 2020)

Traffic Light Control with Real-Time Vehicle License Plate Recognition. - Fandel Lin; Shiuan-Tyng Lin; Jie-Yu Fang; Hsun-Ping Hsieh (WWW (Companion Volume), 2020)

An Interpretable Deep Learning Framework for Assessing Financial Potential of Urban Spaces. - Yu-En Chang; Hsun-Ping Hsieh (SIGSPATIAL/GIS, 2021)

Conntrans: A Two-Stage Concentric Annealing Approach for Multi-Criteria Distributed Competitive Stationary Resource Searching. - Fandel Lin; Hsun-Ping Hsieh (SIGSPATIAL/GIS, 2021)

Dual-Attention Multi-Scale Graph Convolutional Networks for Highway Accident Delay Time Prediction. - I-Ying Wu; Fandel Lin; Hsun-Ping Hsieh (SIGSPATIAL/GIS, 2021)

Object Detection on Embedded Systems for Traffic in Asian Countries. - Bao-Hong Lai; Hsun-Ping Hsieh (ICMR, 2021)

Predicting the Success of Mediation Requests Using Case Properties and Textual Information for Reducing the Burden on the Court. - Hsun-Ping Hsieh; JiaWei Jiang; Tzu-Hsin Yang; Renfen Hu; Cheng-Lin Wu (Digit. Gov. Res. Pract., 2021)

Traveling Transporter Problem: Arranging a New Circular Route in a Public Transportation System Based on Heterogeneous Non-Monotonic Urban Data. - Fandel Lin; Hsun-Ping Hsieh (ACM Trans. Intell. Syst. Technol., 2022)

A Joint Passenger Flow Inference and Path Recommender System for Deploying New Routes and Stations of Mass Transit Transportation. - Fandel Lin; Hsun-Ping Hsieh (ACM Trans. Knowl. Discov. Data, 2022)

A Decision Framework to Recommend Cruising Locations for Taxi Drivers under the Constraint of Booking Information. - Hsun-Ping Hsieh; Fandel Lin; Nai-Yu Chen; Tzu-Hsin Yang (ACM Trans. Manag. Inf. Syst., 2022)

A Grid-Based Two-Stage Parallel Matching Framework for Bi-Objective Euclidean Traveling Salesman Problem. - Fandel Lin; Hsun-Ping Hsieh (ACM Trans. Spatial Algorithms Syst., 2022)

Enhancing Urban Crowd Monitoring through Predictive Modelling System with Diverse Geospatial Datasets. - Hsun-Ping Hsieh; Tzu-Chang Lee; Shih-Yu Lai; Pei-Chi Tsai; Tzu-Hsin Hsieh (ACIS, 2023)

ParkFlow: Intelligent Dispersal for Mitigating Parking Shortages Using Multi-Granular Spatial-Temporal Analysis. - Yang Fan Chiang; Chun-Wei Shen; Jhe-Wei Tsai; Pei-Xuan Li; Tzu-Chang Lee; Hsun-Ping Hsieh (CIKM, 2023)

Forecasting Dengue Fever Risk in Regions without Sensors Using Multi-View Graph Fusion Recurrent Neural Network. - Pei-Xuan Li; Hsun-Ping Hsieh (SIGSPATIAL/GIS, 2023)

Transient Group Recommendation for Shared Environment using Check-in and Tag Data. - Hsin-Wei Li; Hsun-Ping Hsieh; Sok-Ian Sou (ICKII, 2023)

Exploring Feature Fusion from A Contrastive Multi-Modality Learner for Liver Cancer Diagnosis. - Yang Fan Chiang; Pei-Xuan Li; Ding-You Wu; Hsun-Ping Hsieh; Ching-Chung Ko (MMAsia, 2023)

PEPO: Petition Executing Processing Optimizer Based on Natural Language Processing. - Yin-Wei Chiu; Hsiao-Ching Huang; Cheng-Ju Lee; Hsun-Ping Hsieh (SIGIR, 2023)

Survival Factors Analysis of Out-of-Hospital Cardiac Arrest Patients via Effective Data Cleaning Techniques and Explainable Machine Learning. - Zi-Yi Lu; Hsun-Ping Hsieh (TAAI (2), 2023)

Multi-Performance Estimation for Deploying Bank Branches Based on a Multi-Task Attentive Tree-Enhanced Model. - Hsun-Ping Hsieh; Bao-Hong Lai; Yu-Wen Chen; Yu-En Chang (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Exploiting Network Structure in Multi-criteria Distributed and Competitive Stationary-resource Searching. - Fandel Lin; Hsun-Ping Hsieh (ACM Trans. Spatial Algorithms Syst., 2023)

LINKin-PARK: Land Valuation Information and Knowledge in Predictive Analysis and Reporting Kit via Dual Attention-DCCNN. - Teng-Yuan Tsou; Shih-Yu Lai; Hsuan-Ching Chen; Jung-Tsang Yeh; Pei-Xuan Li; Tzu-Chang Lee; Hsun-Ping Hsieh (CIKM, 2024)

A Hierarchy-Aware Approach to Cross-Region Spatial-Temporal Inference of Unarchived Event in Urban Mobility Infrastructure. - Fandel Lin; Hsun-Ping Hsieh (DASFAA (1), 2024)

GreenSpot: Improving Public Transport with GIS-Based AR and Cluster-GCN Recommendation. - Shih-Yu Lai; Tzu-Hsin Hsieh; Sing-Kai Ling; Pei-Chi Tsai; Chao-Chun Kung; Hsun-Ping Hsieh (SIGSPATIAL/GIS, 2024)

ACCEPT: A Context-Sensitive, Configurable, and Extensible Prediction Tool using Grid-based Data Processing and Neural Networks in Geospatial Decision Support. - Teng-Yuan Tsou; Shih-Yu Lai; Hsuan-Ching Chen; Jung-Tsang Yeh; Pei-Xuan Li; Tzu-Chang Lee; Hsun-Ping Hsieh (SIGSPATIAL/GIS, 2024)

Top-N music recommendation framework for precision and novelty under diversity group size and similarity. - Shih-Han Chen; Sok-Ian Sou; Hsun-Ping Hsieh (J. Intell. Inf. Syst., 2024)

Enhancing Robust Liver Cancer Diagnosis: A Contrastive Multi-Modality Learner with Lightweight Fusion and Effective Data Augmentation. - Pei-Xuan Li; Hsun-Ping Hsieh; Yang Fan Chiang; Ding-You Wu; Ching-Chung Ko (ACM Trans. Comput. Heal., 2024)

Estimating Future Financial Development of Urban Areas for Deploying Bank Branches: A Local-Regional Interpretable Model. - Pei-Xuan Li; Yu-En Chang; Ming-Chun Wei; Hsun-Ping Hsieh (ACM Trans. Manag. Inf. Syst., 2024)

Spatial Modeling with Automated Machine Learning and Gaussian Process Regression Techniques for Imputing Wafer Acceptance Test Data. - Ming-Chun Wei; Chun-Wei Shen; Hsun-Ping Hsieh (DATE, 2025)

Session-Based Recommendation with Multi-granularity User Intent and Dual-Channel Sparse Graph Attention Networks. - Pei-Xuan Li; Chia-Lung Lin; Hsun-Ping Hsieh (PAKDD (3), 2025)

FOG: Interpretable Feature-Oriented Graph Neural Networks for Tabular Data Prediction. - Teng-Yuan Tsou; Pei-Xuan Li; Fandel Lin; Hsun-Ping Hsieh (PAKDD (7), 2025)

Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor. - Pei-Xuan Li; Hsun-Ping Hsieh (ACM Trans. Intell. Syst. Technol., 2025)

Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module. - Pei-Xuan Li; Wei-Yun Liang; Fandel Lin; Hsun-Ping Hsieh (CoRR, 2025)