Published in Conference on Neural Information Processing Systems (NeurIPS), 2025
Extending the Johnson-Lindenstrauss lemma to non-Euclidean geometry with fine-grained error analysis based on geometric deviation.
Published in 42nd International Conference on Machine Learning (ICML), 2025
A topologically interpretable GNN with a novel topological discrepancy loss is proved to be uniquely optimized by ground truth.
Published in 41st International Conference on Machine Learning (ICML), 2024
Algorithms for optimally fixing classifiers in a cooperative network to maximize aggregate or egalitarian accuracy.
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Presenting a massive 10K real-world scene benchmark dataset for 3D vision with 51.2 million frames.
Published in Journal of Applied and Computational Topology (JACT), 2022
Generalize the persistence algorithm to compute decompositions of multi-parameter persistence modules.
Published in 34th International Symposium on Computational Geometry (SoCG), 2018
Present an efficient algorithm to compute the bottleneck distance 2-parameter interval decomposable models.