Jiang, Haiyan

6 publications

AAAI 2024 G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou

ICML 2024 NDOT: Neuronal Dynamics-Based Online Training for Spiking Neural Networks Haiyan Jiang, Giulia De Masi, Huan Xiong, Bin Gu

ICLR 2024 TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks Haiyan Jiang, Vincent Zoonekynd, Giulia De Masi, Bin Gu, Huan Xiong

ICML 2023 A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates Haiyan Jiang, Srinivas Anumasa, Giulia De Masi, Huan Xiong, Bin Gu

NeurIPS 2022 AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control Yifan Zhang, Haiyan Jiang, Haojie Ren, Changliang Zou, Dejing Dou

MLJ 2021 AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou