Lo Pang-Yun Ting

According to our database, Lo Pang-Yun Ting authored at least 23 papers between 2018 and 2025.

Collaborative distances:

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

2025

Beyond RAG: Reinforced Reasoning Augmented Generation for Clinical Notes.

Lo Pang-Yun Ting, Chengshuai Zhao, Yu-Hua Zeng, Yuan Jee Lim, Kun-Ta Chuang

CoRR, June, 2025

Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System.

Lo Pang-Yun Ting, Hong-Pei Chen, An-Shan Liu, Chun-Yin Yeh, Po-Lin Chen, Kun-Ta Chuang

CoRR, May, 2025

DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing.

Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai, Hsu-Chao Lai, Kun-Ta Chuang

CoRR, May, 2025

CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration.

Lo Pang-Yun Ting, Zhen Tan, Hong-Pei Chen, Cheng-Te Li, Po-Lin Chen, Kun-Ta Chuang, Huan Liu

CoRR, January, 2025

Hypergraph-Enhanced Kernel Initialization for Convolutional LSTM Networks: Insights from Asset Correlation Forecasting.

Lo Pang-Yun Ting, Hua-Cheng Cheng, Yu-Hua Zeng, Kun-Ta Chuang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024

Online Spatial-Temporal EV Charging Scheduling with Incentive Promotion.

Lo Pang-Yun Ting, Huan-Yang Wang, Jhe-Yun Jhang, Kun-Ta Chuang

ACM Trans. Intell. Syst. Technol., October, 2024

An Explore-Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series.

Lo Pang-Yun Ting, Rong Chao, Chai-Shi Chang, Kun-Ta Chuang

ACM Trans. Intell. Syst. Technol., August, 2024

Uncertainty-Aware Critic Augmentation for Hierarchical Multi-Agent EV Charging Control.

Lo Pang-Yun Ting, Ali Senol, Huan-Yang Wang, Hsu-Chao Lai, Kun-Ta Chuang, Huan Liu

CoRR, 2024

Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations.

Lo Pang-Yun Ting, Chi-Chun Lin, Shih-Hsun Lin, Yu-Lin Chu, Kun-Ta Chuang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Adaptive Knowledge Sharing in Multi-Task Learning: Insights from Electricity Data Analysis.

Yu-Hsiang Chang, Lo Pang-Yun Ting, Wei-Cheng Yin, Ko-Wei Su, Kun-Ta Chuang

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2024

Optimized Battery Controlling for Smart Homes with Dynamic Insensitive-Zone Adjustment.

Lo Pang-Yun Ting, Yu-Hao Chiang, Yu-Hsiang Chang, Michihiro Konagai, Kun-Ta Chuang

Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables.

Hsu-Chao Lai, Po-Hsiang Fang, Yi-Ting Wu, Lo Pang-Yun Ting, Kun-Ta Chuang

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Modeling Transitions of Inter-segment Patterns for Time Series Representation.

I-Fu Sun, Lo Pang-Yun Ting, Ko-Wei Su, Kun-Ta Chuang

Proceedings of the Technologies and Applications of Artificial Intelligence, 2023

2022

Interactive planning of revisiting-free itinerary for signed-for delivery.

Lo Pang-Yun Ting, Shan-Yun Teng, Szu-Chan Wu, Kun-Ta Chuang

Int. J. Data Sci. Anal., 2022

Online Water Usage Monitoring under Anomalous Interference in Residential Households.

Rong Chao, Lo Pang-Yun Ting, Kun-Ta Chuang

Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2022

An Incentive Dispatch Algorithm for Utilization-Perfect EV Charging Management.

Lo Pang-Yun Ting, Po-Hui Wu, Hsiu-Ying Chung, Kun-Ta Chuang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

Boosting Latent Inference of Resident Preference from Electricity Usage - A Demonstration on Online Advertisement Strategies.

Lo Pang-Yun Ting, Po-Hui Wu, Jhe-Yun Jhang, Kai-Jun Yang, Yen-Ju Chen, Kun-Ta Chuang

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020

Prediction of Network Traffic Load on High Variability Data Based on Distance Correlation.

Lo Pang-Yun Ting, Tiago Koketsu Rodrigues, Nei Kato, Kun-Ta Chuang

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Learning Personal Conscientiousness from Footprints in E-Learning Systems.

Lo Pang-Yun Ting, Shan-Yun Teng, Kun-Ta Chuang, Ee-Peng Lim

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learning Latent Perception Graphs for Personalized Unknowns Recommendation.

Lo Pang-Yun Ting, Shan-Yun Teng, Suhang Wang, Kun-Ta Chuang, Huan Liu

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019

Worship prediction: identify followers in celebrity-dived networks.

Shan-Yun Teng, Lo Pang-Yun Ting, Mi-Yen Yeh, Kun-Ta Chuang

World Wide Web, 2019

2018

Predictive Team Formation Analysis via Feature Representation Learning on Social Networks.

Lo Pang-Yun Ting, Cheng-Te Li, Kun-Ta Chuang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Interactive Unknowns Recommendation in E-Learning Systems.

Shan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu

Proceedings of the IEEE International Conference on Data Mining, 2018