For a complete list of publications, please see ► [DBLP] [Google Scholar]
Recent Preprints
- Leaps Beyond the Seen: Reinforced Reasoning Augmented Generation for Clinical Notes [ArXiv]
Lo Pang-Yun Ting*, Chengshuai Zhao*, Yu-Hua Zeng, Yuan Jee Lim, Kun-Ta Chuang, Huan Liu - CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration [ArXiv]
Lo Pang-Yun Ting, Zhen Tan, Hong-Pei Chen, Cheng-Te Li, Po-Lin Chen, Kun-Ta Chuang, Huan Liu
Selected Papers
2025
Towards Hierarchical Multi-Agent Decision-Making for Uncertainty-Aware EV Charging [ArXiv]
Lo Pang-Yun Ting, Ali Senol, Huan-Yang Wang, Hsu-Chao Lai, Kun-Ta Chuang, Huan Liu
The 13th IEEE International Conference on Big Data (IEEE BigData), 2025CAND: Cross-Sign Ambiguity Inference for Early Detecting Nuanced Illness Deterioration [PDF] [ArXiv]
Lo Pang-Yun Ting, Zhen Tan, Hong-Pei Chen, Cheng-Te Li, Po-Lin Chen, Kun-Ta Chuang, Huan Liu
TS4H workshop @ NeurIPS, 2025, Best Paper AwardLeaps Beyond the Seen: Reinforced Reasoning Augmented Generation for Clinical Notes [PDF] [ArXiv]
Lo Pang-Yun Ting*, Chengshuai Zhao*, Yu-Hua Zeng, Yuan Jee Lim, Kun-Ta Chuang, Huan Liu
GenAI4Health workshop @ NeurIPS, 2025Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System [PDF] [ArXiv]
Lo Pang-Yun Ting, Hong-Pei Chen, An-Shan Liu, Chun-Yin Yeh, Po-Lin Chen, Kun-Ta Chuang
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2025DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing [PDF][ArXiv]
Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai, Hsu-Chao Lai, Kun-Ta Chuang
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2025MAC-DP: multi-agent control for dynamic placement of electric vehicle charging stations [PDF]
Lo Pang-Yun Ting, You-Cheng Guo, Chi-Chun Lin, Shih-Hsun Lin & Kun-Ta Chuang
International Journal of Data Science and Analytics (JDSA), 2025Hypergraph-Enhanced Kernel Initialization for Convolutional LSTM Networks: Insights from Asset Correlation Forecasting [PDF]
Lo Pang-Yun Ting*, Hua-Cheng Cheng*, Yu-Hua Zeng & Kun-Ta Chuang
The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025
2024
Online Spatial-Temporal EV Charging Scheduling with Incentive Promotion [PDF]
Lo Pang-Yun Ting, Huan-Yang Wang, Jhe-Yun Jhang, Kun-Ta Chuang
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024An Explore–Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series [PDF]
Lo Pang-Yun Ting, Rong Chao, Chai-Shi Chang, Kun-Ta Chuang
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables [PDF]
Hsu-Chao Lai, Po-Hsiang Fang, Yi-Ting Wu, Lo Pang-Yun Ting, Kun-Ta Chuang
The 12th IEEE International Conference on Big Data (IEEE BigData), 2024Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations [PDF]
Lo Pang-Yun Ting, Chi-Chun Lin, Shih-Hsun Lin, Yu-Lin Chu & Kun-Ta Chuang
The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024
2022
Interactive planning of revisiting-free itinerary for signed-for delivery [PDF]
Lo Pang-Yun Ting, Shan-Yun Teng, Szu-Chan Wu, Kun-Ta Chuang
International Journal of Data Science and Analytics (JDSA), 2022An incentive dispatch algorithm for utilization-perfect EV charging management [PDF]
Lo Pang-Yun Ting, Po-Hui Wu, Hsiu-Ying Chung, Kun-Ta Chuang
The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022
2020
Learning personal conscientiousness from footprints in E-learning systems [PDF]
Lo Pang-Yun Ting, Shan-Yun Teng, Kun-Ta Chuang, Ee-Peng Lim
20th IEEE ICDM, 2020Learning latent perception graphs for personalized unknowns recommendation [PDF]
Lo Pang-Yun Ting, Shan-Yun Teng, Suhang Wang, Kun-Ta Chuang, Huan Liu
IEEE Second International Conference on Cognitive Machine Intelligence (CogMI), 2020Prediction of network traffic load on high variability data based on distance correlation [PDF]
Lo Pang-Yun Ting, Tiago Koketsu Rodrigues, Nei Kato, Kun-Ta Chuang
IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 2020
2019
- Worship prediction: identify followers in celebrity-dived networks [PDF]
Shan-Yun Teng, Lo Pang-Yun Ting, Mi-Yen Yeh, Kun-Ta Chuang
World Wide Web Journal, 2019
2018
Interactive unknowns recommendation in e-learning systems [PDF]
Shan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu
18th IEEE ICDM, 2018Predictive team formation analysis via feature representation learning on social networks [PDF]
Lo Pang-Yun Ting, Cheng-Te Li, Kun-Ta Chuang
The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018