Lo Pang-Yun Ting

27 papers A* 4B 3Journal 10Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond RAG: Reinforced Reasoning Augmented Generation for Clinical Notes.
CoRR
Lo Pang-Yun Ting, Chengshuai Zhao, Yu-Hua Zeng, Yuan Jee Lim, Kun-Ta Chuang
2025 J jnl
CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration.
CoRR
Lo Pang-Yun Ting, Zhen Tan, Hong-Pei Chen, Cheng-Te Li, Po-Lin Chen, Kun-Ta Chuang, Huan Liu
2025 A* conf
DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing.
IJCAI
Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai, Hsu-Chao Lai, Kun-Ta Chuang
2025 J jnl
DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing.
CoRR
Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai, Hsu-Chao Lai, Kun-Ta Chuang
2025 A* conf
Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System.
IJCAI
Lo Pang-Yun Ting, Hong-Pei Chen, An-Shan Liu, Chun-Yin Yeh, Po-Lin Chen, Kun-Ta Chuang
2025 J jnl
Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System.
CoRR
Lo Pang-Yun Ting, Hong-Pei Chen, An-Shan Liu, Chun-Yin Yeh, Po-Lin Chen, Kun-Ta Chuang
2025 — conf
Hypergraph-Enhanced Kernel Initialization for Convolutional LSTM Networks: Insights from Asset Correlation Forecasting.
PAKDD (3)
Lo Pang-Yun Ting, Hua-Cheng Cheng, Yu-Hua Zeng, Kun-Ta Chuang
2025 J jnl
Mac-dp: multi-agent control for dynamic placement of electric vehicle charging stations.
Int. J. Data Sci. Anal.
Lo Pang-Yun Ting, You-Cheng Guo, Chi-Chun Lin, Shih-Hsun Lin, Kun-Ta Chuang
2025 B conf
Towards Hierarchical Multi-Agent Decision-Making for Uncertainty-Aware EV Charging.
IEEE Big Data
Lo Pang-Yun Ting, Ali Senol, Huan-Yang Wang, Hsu-Chao Lai, Kun-Ta Chuang, Huan Liu
2024 B conf
A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables.
IEEE Big Data
Hsu-Chao Lai, Po-Hsiang Fang, Yi-Ting Wu, Lo Pang-Yun Ting, Kun-Ta Chuang
2024 — conf
Adaptive Knowledge Sharing in Multi-Task Learning: Insights from Electricity Data Analysis.
PAKDD (Workshops)
Yu-Hsiang Chang, Lo Pang-Yun Ting, Wei-Cheng Yin, Ko-Wei Su, Kun-Ta Chuang
2024 J jnl
An Explore-Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series.
ACM Trans. Intell. Syst. Technol.
Lo Pang-Yun Ting, Rong Chao, Chai-Shi Chang, Kun-Ta Chuang
2024 — conf
Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations.
PAKDD (5)
Lo Pang-Yun Ting, Chi-Chun Lin, Shih-Hsun Lin, Yu-Lin Chu, Kun-Ta Chuang
2024 J jnl
Online Spatial-Temporal EV Charging Scheduling with Incentive Promotion.
ACM Trans. Intell. Syst. Technol.
Lo Pang-Yun Ting, Huan-Yang Wang, Jhe-Yun Jhang, Kun-Ta Chuang
2024 — conf
Optimized Battery Controlling for Smart Homes with Dynamic Insensitive-Zone Adjustment.
GCCE
Lo Pang-Yun Ting, Yu-Hao Chiang, Yu-Hsiang Chang, Michihiro Konagai, Kun-Ta Chuang
2024 J jnl
Uncertainty-Aware Critic Augmentation for Hierarchical Multi-Agent EV Charging Control.
CoRR
Lo Pang-Yun Ting, Ali Senol, Huan-Yang Wang, Hsu-Chao Lai, Kun-Ta Chuang, Huan Liu
2023 — conf
Modeling Transitions of Inter-segment Patterns for Time Series Representation.
TAAI (1)
I-Fu Sun, Lo Pang-Yun Ting, Ko-Wei Su, Kun-Ta Chuang
2022 — conf
An Incentive Dispatch Algorithm for Utilization-Perfect EV Charging Management.
PAKDD (3)
Lo Pang-Yun Ting, Po-Hui Wu, Hsiu-Ying Chung, Kun-Ta Chuang
2022 J jnl
Interactive planning of revisiting-free itinerary for signed-for delivery.
Int. J. Data Sci. Anal.
Lo Pang-Yun Ting, Shan-Yun Teng, Szu-Chan Wu, Kun-Ta Chuang
2022 — conf
Online Water Usage Monitoring under Anomalous Interference in Residential Households.
TAAI
Rong Chao, Lo Pang-Yun Ting, Kun-Ta Chuang
2021 B conf
Boosting Latent Inference of Resident Preference from Electricity Usage - A Demonstration on Online Advertisement Strategies.
DaWaK
Lo Pang-Yun Ting, Po-Hui Wu, Jhe-Yun Jhang, Kai-Jun Yang, Yen-Ju Chen, Kun-Ta Chuang
2020 — conf
Learning Latent Perception Graphs for Personalized Unknowns Recommendation.
CogMI
Lo Pang-Yun Ting, Shan-Yun Teng, Suhang Wang, Kun-Ta Chuang, Huan Liu
2020 A* conf
Learning Personal Conscientiousness from Footprints in E-Learning Systems.
ICDM
Lo Pang-Yun Ting, Shan-Yun Teng, Kun-Ta Chuang, Ee-Peng Lim
2020 — conf
Prediction of Network Traffic Load on High Variability Data Based on Distance Correlation.
VTC Fall
Lo Pang-Yun Ting, Tiago Koketsu Rodrigues, Nei Kato, Kun-Ta Chuang
2019 J jnl
Worship prediction: identify followers in celebrity-dived networks.
World Wide Web
Shan-Yun Teng, Lo Pang-Yun Ting, Mi-Yen Yeh, Kun-Ta Chuang
2018 A* conf
Interactive Unknowns Recommendation in E-Learning Systems.
ICDM
Shan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu
2018 — conf
Predictive Team Formation Analysis via Feature Representation Learning on Social Networks.
PAKDD (3)
Lo Pang-Yun Ting, Cheng-Te Li, Kun-Ta Chuang