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Jingchao Ni
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Jingchao Ni11 visible / 11 total nodes / 26 links

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Works onCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onWorks onAuthorshipWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalAuthorshipAuthorshipAuthorshipAuthorshipJingchao NiAJingchao NiResearcherDRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution ShiftsWDRIFT: A Benchmark for ...preprint / 2026Guiquan SunAGuiquan SunResearcherXikun ZhangAXikun ZhangResearcherDongjin SongADongjin SongResearcherMachine LearningTMachine Learning49008 worksDynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time SeriesWDynamic Gaussian Mixtur...preprint / 2021Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based RecommendationWAsymmetrical Hierarchic...preprint / 2019Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly DetectionWMulti-Scale One-Class R...preprint / 2020Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic GraphsWStructural Temporal Gra...preprint / 2020Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency GraphWZero-Shot Cross-Lingual...preprint / 2022
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Jingchao Ni

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PaperDRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution ShiftsAuthorship / preprint / 2026PersonGuiquan SunCo-authorship / ResearcherPersonXikun ZhangCo-authorship / ResearcherPersonDongjin SongCo-authorship / ResearcherTopicMachine LearningWorks on / 49008 worksPaperDynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time SeriesAuthorship / preprint / 2021PaperAsymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based RecommendationAuthorship / preprint / 2019PaperMulti-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly DetectionAuthorship / preprint / 2020

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