Tao Yu, Christopher De Sa. "HyLa: Hyperbolic Laplacian Features For Graph Learning". (Preprint)
Tao Yu*, Yichi Zhang*, Zhiru Zhang, Christopher De Sa. "Understanding Hyperdimensional Computing for Parallel Single-Pass Learning". (Preprint)
Tao Yu, Christopher De Sa. "Representing Hyperbolic Space Accurately using Multi-Component Floats". In 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
Tao Yu, Eugene Bagdasaryan, Vitaly Shmatikov. "Salvaging Federated Learning by Local Adaptation", [Code], (Preprint)
Tao Yu, Christopher De Sa. "Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models", Spotlight, [Compression Code, Learning Code, Poster]. In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
Tao Yu*, Shengyuan Hu*, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger. "A New Defense Against Adversarial Images: Turning a Weakness into a Strength", [Code, Poster]. In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
Felix Wu*, Tianyi Zhang*, Amauri Holanda de Souza Jr.*, Christopher Fifty, Tao Yu, Kilian Q. Weinberger. "Simplifying Graph Convolutional Networks", [Code]. In 36th International Conference on Machine Learning (ICML 2019).
Tao Yu, Huan long, John Hopcroft. "Curvature-based Comparison of Two Neural Networks". In 24th International Conference on Pattern Recognition (ICPR 2018).
Tao Yu, Yu Qiao, Huan Long. "Knowledge-based
Fully Convolutional Network and Its Application in Segmentation of Lung CT Images". (Technical Report)
Professional Activities
Reviewer
ICML, NeurIPS, ICLR, AISTATS.
Talks
NeurIPS 2019, "Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models", Slides.