2024

Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data

Lei Ma, Lei Cao, Peter M VanNostrand, Dennis M Hofmann, Yao Su, Elke A Rundensteiner

[SIGMOD'25] ACM International Conference on Management of Data (SIGMOD), 2025. (Research paper acceptance rate: 18.8%)

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SkipSNN: Efficiently Classifying Spike Trains with Event-attention

Hang Yin, Yao Su, Liping Liu, Thomas Hartvigsen, Xin Dai, Xiangnan Kong

[BigData'24] IEEE International Conference on Big Data (IEEE BigData), 2024. (Research paper acceptance rate: 19.7%=130/660)

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 2023

One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data

Yao Su, Zhentian Qian, Lei Ma, Lifang He, Xiangnan Kong

[KDD'23] ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. (Research track acceptance rate: 22.1%=313/1416)

Paper · Code · Poster · Video

Multi-State Brain Network Discovery

Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong

[BigData'23] IEEE International Conference on Big Data (IEEE BigData), 2023. (Regular paper acceptance rate: 17.49%=92/526)

Paper

 2022

ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data

Yao Su, Zhentian Qian, Lifang He, Xiangnan Kong

[KDD'22] ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022. (Research track acceptance rate: 14.99%=254/1695)

Paper · Code · Poster

ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration

Yao Su, Xin Dai, Lifang He, Xiangnan Kong

[ICDM'22] IEEE International Conference on Data Mining (ICDM), 2022. (Full paper acceptance rate: 9.77%=85/870)

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