Deng, Huiqi

10 publications

ICML 2025 Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan

ICML 2025 Towards Attributions of Input Variables in a Coalition Xinhao Zheng, Huiqi Deng, Quanshi Zhang

AAAI 2024 Explaining Generalization Power of a DNN Using Interactive Concepts Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang

AAAI 2024 HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, Xiaohong Guan

ICML 2024 Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan

ICML 2023 Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang

CVPR 2023 Defining and Quantifying the Emergence of Sparse Concepts in DNNs Jie Ren, Mingjie Li, Qirui Chen, Huiqi Deng, Quanshi Zhang

NeurIPS 2023 Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities Dongrui Liu, Huiqi Deng, Xu Cheng, Qihan Ren, Kangrui Wang, Quanshi Zhang

ICLR 2022 Discovering and Explaining the Representation Bottleneck of Dnns Huiqi Deng, Qihan Ren, Hao Zhang, Quanshi Zhang

AAAI 2021 A Unified Taylor Framework for Revisiting Attribution Methods Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu