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Online Optimization and Learning in Uncertain Dynamical Environments with Performance Guarantees

Feb 18, 2021
Dan Li, Dariush Fooladivanda, Sonia Martinez


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Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG

Jan 19, 2021
Dacheng Chen, Dan Li, Xiuqin Xu, Ruizhi Yang, See-Kiong Ng


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PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data

Nov 16, 2020
Yufeng Wang, Dan Li, Xiang Li, Min Yang

* 16pages 

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Improve Adversarial Robustness via Weight Penalization on Classification Layer

Oct 08, 2020
Cong Xu, Dan Li, Min Yang

* 22 pages, 10 figures, 43 references 

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Deep Learning based Covert Attack Identification for Industrial Control Systems

Sep 25, 2020
Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar

* Accepted in IEEE ICMLA 2020 

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Query Resolution for Conversational Search with Limited Supervision

May 24, 2020
Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke

* SIGIR 2020 full conference paper 

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Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets

Apr 21, 2020
Liwei Jiang, Dan Li, Qisheng Wang, Shuai Wang, Songtao Wang

* 10 pages, 4 figures 

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ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment

Nov 26, 2019
Bo Yang, Xianlong Tan, Zhengmao Chen, Bing Wang, Dan Li, Zhongping Yang, Xiping Wu, Yi Lin


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Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks

Feb 18, 2019
Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto~Sangiovanni-Vincentelli


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A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection

Feb 18, 2019
Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto Sangiovanni-Vincentelli


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MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks

Jan 15, 2019
Dan Li, Dacheng Chen, Lei Shi, Baihong Jin, Jonathan Goh, See-Kiong Ng

* This is a pre-print of an on-going work. arXiv admin note: text overlap with arXiv:1809.04758 

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Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series

Oct 09, 2018
Dan Li, Dacheng Chen, Jonathan Goh, See-kiong Ng

* This paper was presented in the 7th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications on the ACM Knowledge Discovery and Data Mining conference, August 2018, London, United Kingdom 

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Adaptive Affinity Propagation Clustering

May 08, 2008
Kaijun Wang, Junying Zhang, Dan Li, Xinna Zhang, Tao Guo

* K. Wang, J. Zhang, D. Li, X. Zhang and T. Guo. Adaptive Affinity Propagation Clustering. Acta Automatica Sinica, 33(12):1242-1246, 2007 
* an English version of original paper 

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