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Dan Li 0016
Person information
- affiliation: National University of Singapore, Institute of Data Science, Singapore
- affiliation (PhD 2017): Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
Other persons with the same name
- Dan Li — disambiguation page
- Dan Li 0001 — Tsinghua University, Department of Computer Science and Technology, Beijing, China (and 2 more)
- Dan Li 0002 — Northern Arizona University, Flagstaff, AZ, USA (and 1 more)
- Dan Li 0003 — University of Science and Technology Beijing, Department of Applied Mathematics, China
- Dan Li 0004 — Fudan University, Research Center of Smart Networks and Systems, Shanghai, China
- Dan Li 0005 — Hohai University Wentian College, Foundation Department, Maanshan, China
- Dan Li 0006 — Tianjin University, School of Computer Science and Technology, China
- Dan Li 0007 — National Digital Switching System Engineering and Technology Research Center, Zhengzhou, China
- Dan Li 0008 — Shanghai Normal University, Mathematics and Science College, China
- Dan Li 0009 — Durham University, Department of Engineering, UK
- Dan Li 0010 — Chengdu Technological University, Department of Electrical and Electronics Engineering, China
- Dan Li 0011 — Xi'an Jiaotong University, School of Microelectronics, China
- Dan Li 0012 — Huazhong University of Science and Technology, School of Computer Science, Wuhan, China
- Dan Li 0013 — Zhejiang University, College of Pharmaceutical Sciences, Hangzhou, China
- Dan Li 0014 — Nanjing University of Aeronautics and Astronautics, College of Astronautics, China (and 1 more)
- Dan Li 0015 — Elsevier, Amsterdam, The Netherlands (and 2 more)
- Dan Li 0017 — China Agricultural University, College of Information and Electrical Engineering, Beijing, China
- Dan Li 0018 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China
- Dan Li 0019 — Shandong University of Science and Technology, College of Economics and Management / College of Mathematics and Systems Science, Qingdao, China
- Dan Li 0020 — University of California San Diego, Department of Mechanical and Aerospace Engineering, La Jolla, CA, USA
- Dan Li 0021 — Hefei University of Technology, School of Civil Engineering, China
- Dan Li 0022 — Xi'an University of Technology, School of Computer Science and Engineering, China
- Dan Li 0023 — Chalmers University of Technology, Gothenburg, Sweden
- Dan Li 0024 — Northeast Forestry University, Department of Computer Science and Technology, Harbin, China
- Dan Li 0025 — Anhui University of Technology, School of Electrical Information and Engineering, Ma'anshan, China
- Dan Li 0026 — Georgia Institute of Technology, School of Civil and Environmental Engineering, Atlanta, GA, USA
- Dan Li 0027 — Tsinghua University, State Key Laboratory of Hydroscience and Engineering, Beijing, China
- Dan Li 0028 — Northeastern University, School of Computer Science and Engineering, Shenyang, China
- Dan Li 0029 — Guangdong University of Technology, School of Automation, Guangzhou, China
- Dan Li 0030 — Georgia Institute of Technology, Atlanta, GA, USA (and 1 more)
- Dan Li 0031 — Xinjiang University, College of Mathematics and System Science, Urumqi, China
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2020 – today
- 2024
- [i6]Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, Zibin Zheng:
Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs. CoRR abs/2404.00640 (2024) - 2023
- [c12]Junnan Tang, Dan Li, Zibin Zheng:
MAD-SGS: Multivariate Anomaly Detection with Multi-scale Self-learned Graph Structures. BIC-TA (2) 2023: 17-31 - [c11]Richa Hu, Dan Li, See-Kiong Ng, Zibin Zheng:
CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks. DASFAA (4) 2023: 159-174 - [c10]Jingwen Tan, Dan Li, Zibin Zheng, See-Kiong Ng:
Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning. ICDM (Workshops) 2023: 89-98 - [c9]Jie Wang, Dan Li, Zibin Zheng, See-Kiong Ng:
Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence. ICDM (Workshops) 2023: 852-859 - 2022
- [c8]Panpan Qi, Dan Li, See-Kiong Ng:
MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks. ICDE 2022: 1232-1244 - 2021
- [i5]Dacheng Chen, Dan Li, Xiuqin Xu, Ruizhi Yang, See-Kiong Ng:
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG. CoRR abs/2101.07535 (2021) - 2020
- [j4]Dan Li, Yuxun Zhou, Guoqiang Hu, Costas J. Spanos:
Handling Incomplete Sensor Measurements in Fault Detection and Diagnosis for Building HVAC Systems. IEEE Trans Autom. Sci. Eng. 17(2): 833-846 (2020) - [c7]Dan Li, Hang Liu, See-Kiong Ng:
VC-GAN: Classifying Vessel Types by Maritime Trajectories using Generative Adversarial Networks. ICTAI 2020: 923-928
2010 – 2019
- 2019
- [j3]Dan Li, Yuxun Zhou, Guoqiang Hu, Costas J. Spanos:
Identifying Unseen Faults for Smart Buildings by Incorporating Expert Knowledge With Data. IEEE Trans Autom. Sci. Eng. 16(3): 1412-1425 (2019) - [c6]Dan Li, Dacheng Chen, Baihong Jin, Lei Shi, Jonathan Goh, See-Kiong Ng:
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. ICANN (4) 2019: 703-716 - [c5]Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. ICPHM 2019: 1-5 - [c4]Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. ICPHM 2019: 1-8 - [i4]Dan Li, Dacheng Chen, Lei Shi, Baihong Jin, Jonathan Goh, See-Kiong Ng:
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. CoRR abs/1901.04997 (2019) - [i3]Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. CoRR abs/1902.06361 (2019) - [i2]Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. CoRR abs/1902.06366 (2019) - 2018
- [j2]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:
Design Automation for Smart Building Systems. Proc. IEEE 106(9): 1680-1699 (2018) - [i1]Dan Li, Dacheng Chen, Jonathan Goh, See-Kiong Ng:
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series. CoRR abs/1809.04758 (2018) - 2017
- [j1]Dan Li, Yuxun Zhou, Guoqiang Hu, Costas J. Spanos:
Optimal Sensor Configuration and Feature Selection for AHU Fault Detection and Diagnosis. IEEE Trans. Ind. Informatics 13(3): 1369-1380 (2017) - 2016
- [c3]Dan Li, Yuxun Zhou, Guoqiang Hu, Costas J. Spanos:
Fusing system configuration information for building cooling plant Fault Detection and severity level identification. CASE 2016: 1319-1325 - [c2]Yuxun Zhou, Jae Yeon Baek, Dan Li, Costas J. Spanos:
Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning. PAKDD (1) 2016: 52-64 - 2015
- [c1]Yuxun Zhou, Dan Li, Costas J. Spanos:
Learning Optimization Friendly Comfort Model for HVAC Model Predictive Control. ICDM Workshops 2015: 430-439
Coauthor Index
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last updated on 2024-09-30 21:54 CEST by the dblp team
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