Ming-Yi Chang

According to our database, Ming-Yi Chang authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Predicting network members from partial contact records on social media: A machine learning approach.

Shu-Mei Lai, Tso-Jung Yen, Ming-Yi Chang, Yang-chih Fu, Wei-Chung Liu

Soc. Networks, 2025

2024

Budget-Constrained Ego Network Extraction With Maximized Willingness.

Bay-Yuan Hsu, Chia-Hsun Lu, Ming-Yi Chang, Chih-Ying Tseng, Chih-Ya Shen

IEEE Trans. Knowl. Data Eng., December, 2024

Improving graph-based recommendation with unraveled graph learning.

Chih-Chieh Chang, Diing-Ruey Tzeng, Chia-Hsun Lu, Ming-Yi Chang, Chih-Ya Shen

Data Min. Knowl. Discov., July, 2024

Detecting Targets of Graph Adversarial Attacks With Edge and Feature Perturbations.

Boyi Lee, Jhao-Yin Jhang, Lo-Yao Yeh, Ming-Yi Chang, Chia-Mei Chen, Chih-Ya Shen

IEEE Trans. Comput. Soc. Syst., June, 2024

Maximizing $(k,L)$-Core With Edge Augmentation in Multilayer Graphs.

Chih-Chieh Chang, Chia-Hsun Lu, Shun-Jen Teng, Ming-Yi Chang, Ya-Chi Ho, Chih-Ya Shen

IEEE Trans. Comput. Soc. Syst., June, 2024

Learning to Augment Graphs: Machine-Learning-Based Social Network Intervention With Self-Supervision.

Chih-Chieh Chang, Chia-Hsun Lu, Ming-Yi Chang, Chao-En Shen, Ya-Chi Ho, Chih-Ya Shen

IEEE Trans. Comput. Soc. Syst., June, 2024

Two Heads Are Better Than One: Teaching MLPs with Multiple Graph Neural Networks via Knowledge Distillation.

Bo-Wei Yang, Ming-Yi Chang, Chia-Hsun Lu, Chih-Ya Shen

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks.

Bay-Yuan Hsu, Lo-Yao Yeh, Ming-Yi Chang, Chih-Ya Shen

IEEE Trans. Knowl. Data Eng., August, 2023

Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction.

Hsiao-Ying Lu, Takanori Fujiwara, Ming-Yi Chang, Yang-chih Fu, Anders Ynnerman, Kwan-Liu Ma

CoRR, 2023

Similarity-Aware Sampling for Machine Learning-Based Goal-Oriented Subgraph Extraction.

Jhen-Hao Yang, Chih-Ya Shen, Ming-Yi Chang, Ya-Chi Ho, Chia-Hsun Lu

Proceedings of the IEEE International Conference on Communications, 2023

Enhancing Link Prediction with Self-Discriminating Augmentation for Structure-Aware Contrastive Learning.

Hao-Wei Yang, Ming-Yi Chang, Chih-Ya Shen

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Learning to Extract Expert Teams in Social Networks.

Chih-Chieh Chang, Ming-Yi Chang, Jhao-Yin Jhang, Lo-Yao Yeh, Chih-Ya Shen

IEEE Trans. Comput. Soc. Syst., 2022

2020

CrawlSN: community-aware data acquisition with maximum willingness in online social networks.

Bay-Yuan Hsu, Chia-Lin Tu, Ming-Yi Chang, Chih-Ya Shen

Data Min. Knowl. Discov., 2020

Detecting Social Anxiety with Online Social Network Data.

Ming-Yi Chang, Chih-Ying Tseng

Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

WMEgo: Willingness Maximization for Ego Network Data Extraction in Online Social Networks.

Bay-Yuan Hsu, Chih-Ya Shen, Ming-Yi Chang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

On Crawling Community-aware Online Social Network Data.

Bay-Yuan Hsu, Chia-Lin Tu, Ming-Yi Chang, Chih-Ya Shen

Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

Optimizing k-Collector Routing for Big Data Collection in Road Networks.

Bay-Yuan Hsu, Chih-Ya Shen, Guang-Siang Lee, Yun-Jui Hsu, Chen-Hsu Yang, Chen-Wei Lu, Ming-Yi Chang, Kei-Peng Lin

Proceedings of the 2019 IEEE Global Communications Conference, 2019

A Smart Contract-Based Mobile Ticketing System with Multi-Signature and Blockchain.

Keng-Pei Lin, Yi-Wei Chang, Zhi-Hong Wei, Chih-Ya Shen, Ming-Yi Chang

Proceedings of the IEEE 8th Global Conference on Consumer Electronics, 2019