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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Anthony Yuening Li's website
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Deep Structured Cross-Modal Anomaly Detection
Published in IEEE International Joint Conference on Neural Networks (IJCNN), 2019
Download here
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Published in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
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Graph Recurrent Networks with Attributed Random Walks
Published in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
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Spectral Autoencoder for Anomaly Detection in Attributed Networks
Published in ACM International Conference on Information and Knowledge Management (CIKM), 2019
Best Refereed Paper Finalist, INFORMS QSR Section.
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Locality Aware Autoencoder for Manipulated Forgery Detection
Published in ACM International Conference on Information and Knowledge Management (CIKM), 2020
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Dual Policy Distillation
Published in International Joint Conference on Artificial Intelligence (IJCAI), 2020
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Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Published in Conference on Neural Information Processing Systems (NeurIPS), 2020
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PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning
Published in International World Wide Web Conference (WWW), 2020
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Mitigating Gender Bias in Captioning Systems
Published in International World Wide Web Conference (WWW), 2021
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AutoOD: Neural Architecture Search for Outlier Detection
Published in IEEE International Conference on Data Engineering (ICDE), 2021
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Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning
Published in IEEE Transactions on Neural Networks and Learning Systems, 2021
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RES: An Interpretaable Replicability Estimation System for Research Articles
Published in AAAI Conference on Artificial Intelligence (AAAI), 2022
Towards Learning Disentangled Representations for Time Series
Published in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022
Download here