Members of Associate Professor Jingrui He's research group, the iSAIL Lab, will present their research at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022), which will be held from November 29-December 1 in New Orleans, Louisiana, and also virtually. NeurIPS is one of the most prestigious and competitive international conferences in machine learning and computational neuroscience.
Research paper presentations by the iSAIL Lab include:
- "Deep Active Learning by Leveraging Training Dynamics," presented by PhD student Ziwei Wu
- "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative," presented by PhD student Tianxin Wei
- "Improved Algorithms for Neural Active Learning," presented by Computer Science (CS) PhD student Yikun Ban
- "Distribution-Informed Neural Networks for Domain Adaptation Regression," presented by CS PhD Jun Wu
In addition, Wei and Ban both received a NeurIPS 2022 Scholar Award, which covers their conference registrations and hotel accommodation.
He's general research theme is to design, build, and test a suite of automated and semi-automated methods to explore, understand, characterize, and predict real-world data by means of statistical machine learning. She received her PhD in machine learning from Carnegie Mellon University.