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Ling Chen

Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, Australia

Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting


Aug 05, 2022
Juyong Jiang, Binqing Wu, Ling Chen, Sunghun Kim

* 14 pages, 12 figures 

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Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection


May 29, 2022
Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang

* 8 pages, 4 figures, to be published in IJCNN at IEEE WCCI 2022 

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Temporal Domain Generalization with Drift-Aware Dynamic Neural Network


May 21, 2022
Guangji Bai, Ling Chen, Liang Zhao

* Preprint: 16 pages, 5 figures 

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Combining Deep Learning and Adaptive Sparse Modeling for Low-dose CT Reconstruction


May 19, 2022
Ling Chen, Zhishen Huang, Yong Long, Saiprasad Ravishankar


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Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics


Apr 21, 2022
Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad

* Accepted by NAACL 2022 

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Fine-Grained Population Mobility Data-Based Community-Level COVID-19 Prediction Model


Feb 13, 2022
Pengyue Jia, Ling Chen, Dandan Lyu

* 17 pages, 5 figures 

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Informative Pseudo-Labeling for Graph Neural Networks with Few Labels


Jan 20, 2022
Yayong Li, Jie Yin, Ling Chen


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Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting


Jan 13, 2022
Ling Chen, Donghui Chen, Zongjiang Shang, Youdong Zhang, Bo Wen, Chenghu Yang


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Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation


Dec 19, 2021
Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel

* Accepted to WSDM 2022 

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Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting


Dec 14, 2021
Donghui Chen, Ling Chen, Zongjiang Shang, Youdong Zhang, Bo Wen, Chenghu Yang


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