He, Hangfeng

8 publications

TMLR 2024 Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic Matteo Sordello, Niccolo Dalmasso, Hangfeng He, Weijie J Su

ICML 2023 On Regularization and Inference with Label Constraints Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth

ICLR 2022 Weighted Training for Cross-Task Learning Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J Su

ICML 2021 Toward Better Generalization Bounds with Locally Elastic Stability Zhun Deng, Hangfeng He, Weijie Su

NeurIPS 2020 Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity Shuxiao Chen, Hangfeng He, Weijie Su

ICLR 2020 The Local Elasticity of Neural Networks Hangfeng He, Weijie J. Su

ICML 2020 Towards Understanding the Dynamics of the First-Order Adversaries Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie Su

AAAI 2017 A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media Hangfeng He, Xu Sun