Publications

(2021). Meta-Learning for Online Update of Recommender Systems (AAAI 2022). The AAAI Conference on Artificial Intelligence.

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(2021). COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies (AAAI 2022). The AAAI Conference on Artificial Intelligence.

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(2021). ViDT: An Efficient and Effective Fully Transformer-based Object Detector (Arxiv 2021). Arxiv.

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(2021). Exploiting Scene Depth for Object Detection with Multimodal Transformers (BMVC 2021). BMVC.

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(2021). Robust Learning by Self-Transition for Handling Noisy Labels (KDD 2021). KDD.

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(2021). Learning from Noisy Labels with Deep Neural Networks: A Survey (Arxiv 2021, Under Revision). Arxiv.

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(2021). PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation (AAAI 2021). AAAI.

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(2020). Learning from Noisy Labels with Deep Neural Networks: A Survey (Arxiv 2020, Under Review). Arxiv.

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(2020). Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea (KDD 2020). In KDD.

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(2020). How Does Early Stopping Help Generalization against Label Noise? (ICMLW 2020). In ICMLW.

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(2020). Revisit Prediction by Deep Survival Analysis (PAKDD 2020). In PAKDD.

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(2019). MLAT: Metric Learning for kNN in Streaming Time Series (KDDW 2019). In KDD.

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