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Hsun-Ping Hsieh
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2020 – today
- 2024
- [j15]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 Trans. Comput. Heal. 5(2): 6:1-6:13 (2024) - [j14]Shih-Han Chen, Sok-Ian Sou, Hsun-Ping Hsieh:
Top-N music recommendation framework for precision and novelty under diversity group size and similarity. J. Intell. Inf. Syst. 62(1): 1-26 (2024) - [j13]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 Trans. Manag. Inf. Syst. 15(2): 8 (2024) - [c59]Teng-Yuan Tsou, Shih-Yu Lai, Hsuan-Ching Chen, Jung-Tsang Yeh, Pei-Xuan Li, Tzu-Chang Lee, Hsun-Ping Hsieh:
LINKin-PARK: Land Valuation Information and Knowledge in Predictive Analysis and Reporting Kit via Dual Attention-DCCNN. CIKM 2024: 5289-5293 - [c58]Fandel Lin, Hsun-Ping Hsieh:
A Hierarchy-Aware Approach to Cross-Region Spatial-Temporal Inference of Unarchived Event in Urban Mobility Infrastructure. DASFAA (1) 2024: 214-224 - [c57]Teng-Yuan Tsou, Shih-Yu Lai, Hsuan-Ching Chen, Jung-Tsang Yeh, Pei-Xuan Li, Tzu-Chang Lee, Hsun-Ping Hsieh:
ACCEPT: A Context-Sensitive, Configurable, and Extensible Prediction Tool using Grid-based Data Processing and Neural Networks in Geospatial Decision Support. SIGSPATIAL/GIS 2024: 669-672 - [c56]Shih-Yu Lai, Tzu-Hsin Hsieh, Sing-Kai Ling, Pei-Chi Tsai, Chao-Chun Kung, Hsun-Ping Hsieh:
GreenSpot: Improving Public Transport with GIS-Based AR and Cluster-GCN Recommendation. SIGSPATIAL/GIS 2024: 689-692 - 2023
- [j12]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 Trans. Emerg. Top. Comput. Intell. 7(1): 237-249 (2023) - [j11]Fandel Lin, Hsun-Ping Hsieh:
Exploiting Network Structure in Multi-criteria Distributed and Competitive Stationary-resource Searching. ACM Trans. Spatial Algorithms Syst. 9(4): 26:1-26:33 (2023) - [c55]Hsun-Ping Hsieh, Tzu-Chang Lee, Shih-Yu Lai, Pei-Chi Tsai, Tzu-Hsin Hsieh:
Enhancing Urban Crowd Monitoring through Predictive Modelling System with Diverse Geospatial Datasets. ACIS 2023 - [c54]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. CIKM 2023: 5036-5040 - [c53]Pei-Xuan Li, Hsun-Ping Hsieh:
Forecasting Dengue Fever Risk in Regions without Sensors Using Multi-View Graph Fusion Recurrent Neural Network. SIGSPATIAL/GIS 2023: 86:1-86:4 - [c52]Hsin-Wei Li, Hsun-Ping Hsieh, Sok-Ian Sou:
Transient Group Recommendation for Shared Environment using Check-in and Tag Data. ICKII 2023: 661-666 - [c51]Yang Fan Chiang, Pei-Xuan Li, Ding-You Wu, Hsun-Ping Hsieh, Ching-Chung Ko:
Exploring Feature Fusion from A Contrastive Multi-Modality Learner for Liver Cancer Diagnosis. MMAsia 2023: 14:1-14:7 - [c50]Yin-Wei Chiu, Hsiao-Ching Huang, Cheng-Ju Lee, Hsun-Ping Hsieh:
PEPO: Petition Executing Processing Optimizer Based on Natural Language Processing. SIGIR 2023: 3150-3154 - [c49]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. TAAI (2) 2023: 116-130 - 2022
- [j10]Fandel Lin, Hsun-Ping Hsieh:
Traveling Transporter Problem: Arranging a New Circular Route in a Public Transportation System Based on Heterogeneous Non-Monotonic Urban Data. ACM Trans. Intell. Syst. Technol. 13(3): 49:1-49:25 (2022) - [j9]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 Trans. Knowl. Discov. Data 16(1): 6:1-6:36 (2022) - [j8]Hsun-Ping Hsieh, Fandel Lin, Nai-Yu Chen, Tzu-Hsin Yang:
A Decision Framework to Recommend Cruising Locations for Taxi Drivers under the Constraint of Booking Information. ACM Trans. Manag. Inf. Syst. 13(3): 27:1-27:30 (2022) - [j7]Fandel Lin, Hsun-Ping Hsieh:
A Grid-Based Two-Stage Parallel Matching Framework for Bi-Objective Euclidean Traveling Salesman Problem. ACM Trans. Spatial Algorithms Syst. 8(4): 31:1-31:33 (2022) - 2021
- [j6]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. Digit. Gov. Res. Pract. 2(4): 30:1-30:18 (2021) - [c48]Fandel Lin, Hsun-Ping Hsieh:
Conntrans: A Two-Stage Concentric Annealing Approach for Multi-Criteria Distributed Competitive Stationary Resource Searching. SIGSPATIAL/GIS 2021: 163-174 - [c47]I-Ying Wu, Fandel Lin, Hsun-Ping Hsieh:
Dual-Attention Multi-Scale Graph Convolutional Networks for Highway Accident Delay Time Prediction. SIGSPATIAL/GIS 2021: 554-563 - [c46]Yu-En Chang, Hsun-Ping Hsieh:
An Interpretable Deep Learning Framework for Assessing Financial Potential of Urban Spaces. SIGSPATIAL/GIS 2021: 678-679 - [c45]Bao-Hong Lai, Hsun-Ping Hsieh:
Object Detection on Embedded Systems for Traffic in Asian Countries. ICMR 2021: 540-544 - 2020
- [c44]Fandel Lin, Jie-Yu Fang, Hsun-Ping Hsieh:
A Gaussian-Prioritized Approach for Deploying Additional Route on Existing Mass Transportation with Neural-Network-Based Passenger Flow Inference. CEC 2020: 1-8 - [c43]JiaWei Jiang, Yu-Chen Chen, Hsun-Ping Hsieh:
Detection of Illegal Parking Events Using Spatial-Temporal Features. SIGSPATIAL/GIS 2020: 667-668 - [c42]Fandel Lin, Hsun-Ping Hsieh:
A Goal-Prioritized Algorithm for Additional Route Deployment on Existing Mass Transportation System. ICDM 2020: 1130-1135 - [c41]Shih-Han Chen, Sok-Ian Sou, Hsun-Ping Hsieh:
HPCF: Hybrid Music Group Recommendation System based on Item Popularity and Collaborative Filtering. ICS 2020: 43-49 - [c40]Hsin-Wei Li, Sok-Ian Sou, Hsun-Ping Hsieh:
Room-based Playlist Arrangement System using Group Recommendation. ICS 2020: 50-54 - [c39]Yi-Chen Wang, Pei-Lin Yang, Sok-Ian Sou, Hsun-Ping Hsieh:
The MuTube Dataset for Music Listening History Retrieval and Recommendation System. ICS 2020: 55-60 - [c38]Sheng-Ting Chien, Fandel Lin, Chiunghui Tsai, Hsun-Ping Hsieh:
An Efficient Method for Recommending Branch Locations to Reduce the Transportation Distance between Stations and Urban Events. MDM 2020: 310-315 - [c37]Fandel Lin, Hsun-Ping Hsieh, Jie-Yu Fang:
A Route-Affecting Region Based Approach for Feature Extraction in Transportation Route Planning. ECML/PKDD (4) 2020: 275-290 - [c36]Jie-Yu Fang, Fandel Lin, Hsun-Ping Hsieh:
A Multi-criteria System for Recommending Taxi Routes with an Advance Reservation. ECML/PKDD (4) 2020: 308-322 - [c35]Fandel Lin, Hsun-Ping Hsieh:
A Convolutional Approach for Estimating Popularity of New Branch Stores. WWW (Companion Volume) 2020: 85-87 - [c34]Fandel Lin, Shiuan-Tyng Lin, Jie-Yu Fang, Hsun-Ping Hsieh:
Traffic Light Control with Real-Time Vehicle License Plate Recognition. WWW (Companion Volume) 2020: 100-102 - [c33]Fandel Lin, Jie-Yu Fang, Hsun-Ping Hsieh:
Customizing Your Own Route with QQIP. A Quantitative and Qualitative Itinerary Planner for New Transportation Routes. WWW (Companion Volume) 2020: 230-234
2010 – 2019
- 2019
- [j5]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. Knowl. Inf. Syst. 60(1): 247-273 (2019) - [j4]Hsun-Ping Hsieh, Cheng-Te Li:
Inferring Online Social Ties from Offline Geographical Activities. ACM Trans. Intell. Syst. Technol. 10(2): 17:1-17:21 (2019) - 2018
- [j3]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. Knowl. Inf. Syst. 56(3): 581-611 (2018) - [j2]Fandel Lin, Hsun-Ping Hsieh:
SRC: an intelligent and interactive route planning maker for deploying new transportation services. ACM SIGSPATIAL Special 10(3): 6-7 (2018) - [c32]Fandel Lin, Hsun-Ping Hsieh:
An intelligent and interactive route planning maker for deploying new transportation services. SIGSPATIAL/GIS 2018: 620-621 - [r2]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. 2nd Ed. 2018 - 2016
- [c31]Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li:
Will I Win Your Favor? Predicting the Success of Altruistic Requests. PAKDD (1) 2016: 177-188 - [c30]Rui Yan, Cheng-Te Li, Hsun-Ping Hsieh, Po Hu, Xiaohua Hu, Tingting He:
Socialized Language Model Smoothing via Bi-directional Influence Propagation on Social Networks. WWW 2016: 1395-1406 - 2015
- [c29]Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li:
Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints. CIKM 2015: 1839-1842 - [c28]Hsun-Ping Hsieh, Cheng-Te Li, Xiaoqing Gao:
T-Gram: A Time-Aware Language Model to Predict Human Mobility. ICWSM 2015: 614-617 - [c27]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Measuring and Recommending Time-Sensitive Routes from Location-based Data. IJCAI 2015: 4193-4196 - [c26]Hsun-Ping Hsieh, Shou-De Lin, Yu Zheng:
Inferring Air Quality for Station Location Recommendation Based on Urban Big Data. KDD 2015: 437-446 - [c25]Hsun-Ping Hsieh, Tzu-Chi Yen, Cheng-Te Li:
What Makes New York So Noisy?: Reasoning Noise Pollution by Mining Multimodal Geo-Social Big Data. ACM Multimedia 2015: 181-184 - [c24]Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li:
Dissecting Urban Noises from Heterogeneous Geo-Social Media and Sensor Data. ACM Multimedia 2015: 1103-1106 - [c23]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Estimating Potential Customers Anywhere and Anytime Based on Location-Based Social Networks. ECML/PKDD (2) 2015: 576-592 - [c22]Hsun-Ping Hsieh, Cheng-Te Li, Rui Yan:
I See You: Person-of-Interest Search in Social Networks. SIGIR 2015: 839-842 - [c21]Cheng-Te Li, Hsun-Ping Hsieh:
Geo-Social Media Analytics. WWW (Companion Volume) 2015: 1533-1534 - 2014
- [j1]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Measuring and Recommending Time-Sensitive Routes from Location-Based Data. ACM Trans. Intell. Syst. Technol. 5(3): 45:1-45:27 (2014) - [c20]Cheng-Te Li, Hsun-Ping Hsieh:
MobiCrowd: simulating crowds with periodic and social mobility. AAMAS 2014: 1627-1628 - [c19]Hsun-Ping Hsieh, Cheng-Te Li:
Mining and Planning Time-aware Routes from Check-in Data. CIKM 2014: 481-490 - [c18]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Trip Router: A Time-Sensitive Route Recommender System. ICDM Workshops 2014: 1207-1210 - [c17]Hsun-Ping Hsieh, Cheng-Te Li:
Traveling Path Recommendation Using Temporal Transit Patterns. ICWSM 2014 - [c16]Hsun-Ping Hsieh, Cheng-Te Li:
Mining Time-Aware Transit Patterns for Route Recommendation in Big Check-in Data. PAKDD Workshops 2014: 818-830 - [c15]Hsun-Ping Hsieh, Cheng-Te Li:
Inferring social relationships from mobile sensor data. WWW (Companion Volume) 2014: 293-294 - [c14]Hsun-Ping Hsieh, Cheng-Te Li:
Inferring visiting time distributions of locations from incomplete check-in data. WWW (Companion Volume) 2014: 295-296 - [r1]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 2014: 1212-1218 - 2013
- [c13]Hsun-Ping Hsieh, Cheng-Te Li:
Constructing trip routes with user preference from location check-in data. UbiComp (Adjunct Publication) 2013: 195-198 - [c12]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Time-Sensitive Route Planning Using Location-Based Data. ICDM Workshops 2013: 1121-1128 - [c11]Yu Zheng, Furui Liu, Hsun-Ping Hsieh:
U-Air: when urban air quality inference meets big data. KDD 2013: 1436-1444 - 2012
- [c10]Hsun-Ping Hsieh, Cheng-Te Li:
Composing Traveling Paths from Location-Based Services. ICWSM 2012 - [c9]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Exploiting large-scale check-in data to recommend time-sensitive routes. UrbComp@KDD 2012: 55-62 - [c8]Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin:
CrowDiffuse: information diffusion over crowds with social network. SIGGRAPH Posters 2012: 124 - [c7]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Frequent temporal social behavior search in information networks. WWW (Companion Volume) 2012: 527-528 - [c6]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
TripRec: recommending trip routes from large scale check-in data. WWW (Companion Volume) 2012: 529-530 - [c5]Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin, Man-Kwan Shan:
Finding influential seed successors in social networks. WWW (Companion Volume) 2012: 557-558 - 2011
- [c4]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data. ICDM Workshops 2011: 1227-1230 - [c3]Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin:
PhotoFeel: feeling your photo collection with graph-based audiovisual flocking. ACM Multimedia 2011: 1553-1556 - 2010
- [c2]Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin:
SocioCrowd: a social-network-based framework for crowd simulation. SIGGRAPH Posters 2010: 17:1 - [c1]Hsun-Ping Hsieh, Cheng-Te Li:
Mining Temporal Subgraph Patterns in Heterogeneous Information Networks. SocialCom/PASSAT 2010: 282-287
Coauthor Index
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last updated on 2024-12-02 21:33 CET by the dblp team
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