Dan Li
Orcid: 0000-0002-3787-1673Affiliations:
- National University of Singapore, Institute of Data Science, Singapore
- Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (PhD 2017)
According to our database1,
Dan Li authored at least 43 papers
between 2015 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting.
CoRR, April, 2026
CoRR, March, 2026
Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning.
CoRR, February, 2026
Expert Syst. Appl., 2026
Eng. Appl. Artif. Intell., 2026
2025
Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning.
CoRR, November, 2025
CoRR, September, 2025
ConfLogger: Enhance Systems' Configuration Diagnosability through Configuration Logging.
CoRR, August, 2025
TSRating: Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment.
CoRR, June, 2025
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision.
CoRR, June, 2025
AnomalyGen: An Automated Semantic Log Sequence Generation Framework with LLM for Anomaly Detection.
CoRR, April, 2025
BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction.
CoRR, March, 2025
A Unified CatBoost Framework for IoT Data Classification Using Multi-Level Feature Extraction.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025
Proceedings of the IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering, 2025
Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025
Fostering Active Learning: A Study on Anonymous Q&A Software in Undergraduate Education.
Proceedings of the IEEE International Conference on Software Services Engineering, 2025
2024
CoRR, 2024
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices.
CoRR, 2024
Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024
Proceedings of the Database Systems for Advanced Applications, 2024
Proceedings of the IEEE International Conference on Software Services Engineering, 2024
2023
Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence.
Proceedings of the IEEE International Conference on Data Mining, 2023
Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023
CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks.
Proceedings of the Database Systems for Advanced Applications, 2023
MAD-SGS: Multivariate Anomaly Detection with Multi-scale Self-learned Graph Structures.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023
2022
MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG.
CoRR, 2021
2020
Handling Incomplete Sensor Measurements in Fault Detection and Diagnosis for Building HVAC Systems.
IEEE Trans Autom. Sci. Eng., 2020
VC-GAN: Classifying Vessel Types by Maritime Trajectories using Generative Adversarial Networks.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
2019
Identifying Unseen Faults for Smart Buildings by Incorporating Expert Knowledge With Data.
IEEE Trans Autom. Sci. Eng., 2019
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019
2018
CoRR, 2018
2017
Optimal Sensor Configuration and Feature Selection for AHU Fault Detection and Diagnosis.
IEEE Trans. Ind. Informatics, 2017
2016
Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Fusing system configuration information for building cooling plant Fault Detection and severity level identification.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016
2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015