Dan Li - RankMe

49 papers A* 1A 2B 1C 1Journal 28Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Large language models for explainable fault diagnosis of machines. Eng. Appl. Artif. Intell. Hamzah A. A. M. Qaid, Bo Zhang, Shuai Su, Dan Li, See-Kiong Ng, Wei Li
2026	J	`jnl`	MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices. CoRR Jiahui Zhou, Dan Li, Ruibing Jin, Jian Lou, Yanran Zhao, Zhenghua Chen, Zigui Jiang, See-Kiong Ng
2026	J	`jnl`	Restoring missing gaps and intervals via global consistency and local coherence. Expert Syst. Appl. Richa Hu, Dan Li, Jian Lou, Ruibing Jin, Bingxin Lin, Wenzhong Li, See-Kiong Ng, Zibin Zheng
2026	J	`jnl`	Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning. CoRR Jiahui Zhou, Dan Li, Boxin Li, Xiao Zhang, Erli Meng, Lin Li, Zhuomin Chen, Jian Lou, See-Kiong Ng
2025	—	`conf`	A Unified CatBoost Framework for IoT Data Classification Using Multi-Level Feature Extraction. WWW (Companion Volume) Chengfeng Qiu, Jiahui Zhou, Yongfeng Liao, Zhengliang Cui, Dan Li
2025	J	`jnl`	AnomalyGen: An Automated Semantic Log Sequence Generation Framework with LLM for Anomaly Detection. CoRR Xinyu Li, Yingtong Huo, Chenxi Mao, Shiwen Shan, Yuxin Su, Dan Li, Zibin Zheng
2025	J	`jnl`	BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction. CoRR Zekai Zhang, Dan Li, Shunyu Wu, Junya Cai, Bo Zhang, See-Kiong Ng, Zibin Zheng
2025	J	`jnl`	ConfLogger: Enhance Systems' Configuration Diagnosability through Configuration Logging. CoRR Shiwen Shan, Yintong Huo, Yuxin Su, Zhining Wang, Dan Li, Zibin Zheng
2025	—	`conf`	Cyber-Attack Detection and Localization for SCADA system of CPSs. Forge@ICSE Dan Li, Junnan Tang, Shunyu Wu, Zibin Zheng, See-Kiong Ng
2025	J	`jnl`	Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision. CoRR Jiahui Zhou, Dan Li, Lin Li, Zhuomin Chen, Shunyu Wu, Haozheng Ye, Jian Lou, Costas J. Spanos
2025	—	`conf`	Fostering Active Learning: A Study on Anonymous Q&A Software in Undergraduate Education. SSE Dan Li, Zigui Jiang, Yuxin Su, Zibin Zheng
2025	J	`jnl`	Generating High-Quality Datasets for Code Editing via Open-Source Language Models. CoRR Zekai Zhang, Mingwei Liu, Zhenxi Chen, Linxi Liang, Yuxuan Chen, Guangsheng Ou, Yanlin Wang, Dan Li, Xin Peng, Zibin Zheng
2025	A	`conf`	Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting. CIKM Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng
2025	J	`jnl`	Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting. CoRR Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng
2025	—	`conf`	LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance. SIGSOFT FSE Companion Jingwen Tan, Gopi Krishnan Rajbahadur, Zi Li, Xiangfu Song, Jianshan Lin, Dan Li, Zibin Zheng, Ahmed E. Hassan
2025	J	`jnl`	LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance. CoRR Jingwen Tan, Gopi Krishnan Rajbahadur, Zi Li, Xiangfu Song, Jianshan Lin, Dan Li, Zibin Zheng, Ahmed E. Hassan
2025	J	`jnl`	Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning. CoRR Shunyu Wu, Tianyue Li, Yixuan Leng, Jingyi Suo, Jian Lou, Dan Li, See-Kiong Ng
2025	C	`conf`	LogExpertSolver: A Multi-Agent Framework for Domain-Specialized Log Parsing. APSEC Chenxi Mao, Yuxin Su, Dan Li
2025	J	`jnl`	Soft label enhanced graph neural network under heterophily. Knowl. Based Syst. Han Yang, Junyuan Fang, Jiajing Wu, Dan Li, Yaonan Wang, Zibin Zheng
2025	J	`jnl`	TSRating: Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment. CoRR Shunyu Wu, Dan Li, Haozheng Ye, Zhuomin Chen, Jiahui Zhou, Jian Lou, Zibin Zheng, See-Kiong Ng
2024	J	`jnl`	FD-LLM: Large Language Model for Fault Diagnosis of Machines. CoRR Hamzah A. A. M. Qaid, Bo Zhang, Dan Li, See-Kiong Ng, Wei Li
2024	A	`conf`	Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs. ISSTA Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, Zibin Zheng
2024	J	`jnl`	Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs. CoRR Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, Zibin Zheng
2024	—	`conf`	GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series. DASFAA (5) Gang Tu, Dan Li, Bingxin Lin, Zibin Zheng, See-Kiong Ng
2024	J	`jnl`	GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series. CoRR Gang Tu, Dan Li, Bingxin Lin, Zibin Zheng, See-Kiong Ng
2024	J	`jnl`	LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices. CoRR Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen
2024	—	`conf`	eWAPA: An eBPF-based WASI Performance Analysis Framework for Web Assembly Runtimes. SSE Chenxi Mao, Yuxin Su, Shiwen Shan, Dan Li
2024	J	`jnl`	eWAPA: An eBPF-based WASI Performance Analysis Framework for WebAssembly Runtimes. CoRR Chenxi Mao, Yuxin Su, Shiwen Shan, Dan Li
2023	—	`conf`	Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence. ICDM (Workshops) Jie Wang, Dan Li, Zibin Zheng, See-Kiong Ng
2023	—	`conf`	CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks. DASFAA (4) Richa Hu, Dan Li, See-Kiong Ng, Zibin Zheng
2023	—	`conf`	Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning. ICDM (Workshops) Jingwen Tan, Dan Li, Zibin Zheng, See-Kiong Ng
2023	—	`conf`	MAD-SGS: Multivariate Anomaly Detection with Multi-scale Self-learned Graph Structures. BIC-TA (2) Junnan Tang, Dan Li, Zibin Zheng
2022	A*	`conf`	MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks. ICDE Panpan Qi, Dan Li, See-Kiong Ng
2021	J	`jnl`	Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG. CoRR Dacheng Chen, Dan Li, Xiuqin Xu, Ruizhi Yang, See-Kiong Ng
2020	J	`jnl`	Handling Incomplete Sensor Measurements in Fault Detection and Diagnosis for Building HVAC Systems. IEEE Trans Autom. Sci. Eng. Dan Li, Yuxun Zhou, Guoqiang Hu, Costas J. Spanos
2020	B	`conf`	VC-GAN: Classifying Vessel Types by Maritime Trajectories using Generative Adversarial Networks. ICTAI Dan Li, Hang Liu, See-Kiong Ng
2019	—	`conf`	A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. ICPHM Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
2019	J	`jnl`	A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. CoRR Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
2019	—	`conf`	Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. ICPHM Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
2019	J	`jnl`	Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. CoRR Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
2019	J	`jnl`	Identifying Unseen Faults for Smart Buildings by Incorporating Expert Knowledge With Data. IEEE Trans Autom. Sci. Eng. Dan Li, Yuxun Zhou, Guoqiang Hu, Costas J. Spanos
2019	—	`conf`	MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. ICANN (4) Dan Li, Dacheng Chen, Baihong Jin, Lei Shi, Jonathan Goh, See-Kiong Ng
2019	J	`jnl`	MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. CoRR Dan Li, Dacheng Chen, Lei Shi, Baihong Jin, Jonathan Goh, See-Kiong Ng
2018	J	`jnl`	Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series. CoRR Dan Li, Dacheng Chen, Jonathan Goh, See-Kiong Ng
2018	J	`jnl`	Design Automation for Smart Building Systems. Proc. IEEE Ruoxi Jia, Baihong Jin, Ming Jin, Yuxun Zhou, Ioannis C. Konstantakopoulos, Han Zou, Joyce Kim, Dan Li, Weixi Gu, Reza Arghandeh, Pierluigi Nuzzo, Stefano Schiavon, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos
2017	J	`jnl`	Optimal Sensor Configuration and Feature Selection for AHU Fault Detection and Diagnosis. IEEE Trans. Ind. Informatics Dan Li, Yuxun Zhou, Guoqiang Hu, Costas J. Spanos
2016	—	`conf`	Fusing system configuration information for building cooling plant Fault Detection and severity level identification. CASE Dan Li, Yuxun Zhou, Guoqiang Hu, Costas J. Spanos
2016	—	`conf`	Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning. PAKDD (1) Yuxun Zhou, Jae Yeon Baek, Dan Li, Costas J. Spanos
2015	—	`conf`	Learning Optimization Friendly Comfort Model for HVAC Model Predictive Control. ICDM Workshops Yuxun Zhou, Dan Li, Costas J. Spanos