A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction. - Qingxiong Tan; Andy Jinhua Ma; Huiqi Deng; Vincent W. S. Wong 002; Yee-Kit Tse; Terry Cheuk-Fung Yip; Grace Lai-Hung Wong; Ching Ling Jessica Yuet; Francis Ka-Leung Chan; Pong C. Yuen (AMIA, 2018)

Robust Shapelets Learning: Transform-Invariant Prototypes. - Huiqi Deng; Weifu Chen; Andy Jinhua Ma; Qi Shen; Pong C. Yuen; Guocan Feng (PRCV (3), 2018)

UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction. - Qingxiong Tan; Andy Jinhua Ma; Mang Ye; Baoyao Yang; Huiqi Deng; Vincent Wai-Sun Wong; Yee-Kit Tse; Terry Cheuk-Fung Yip; Grace Lai-Hung Wong; Jessica Yuet-Ling Ching; Francis Ka-Leung Chan; Pong C. Yuen (CIKM, 2019)

Invariant subspace learning for time series data based on dynamic time warping distance. - Huiqi Deng; Weifu Chen; Qi Shen; Andy Jinhua Ma; Pong C. Yuen; Guocan Feng (Pattern Recognit., 2020)

A Unified Taylor Framework for Revisiting Attribution Methods. - Huiqi Deng; Na Zou 001; Mengnan Du; Weifu Chen; Guocan Feng; Xia Hu 001 (AAAI, 2021)

Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. - Huiqi Deng; Na Zou 001; Weifu Chen; Guocan Feng; Mengnan Du; Xia Hu 001 (KDD, 2021)

Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep Models. - Jie Ren 018; Mingjie Li; Qirui Chen; Huiqi Deng; Quanshi Zhang (CoRR, 2021)

Discovering and Explaining the Representation Bottleneck of DNNs. - Huiqi Deng; Qihan Ren; Xu Chen; Hao Zhang 063; Jie Ren 018; Quanshi Zhang (CoRR, 2021)

Discovering and Explaining the Representation Bottleneck of DNNS. - Huiqi Deng; Qihan Ren; Hao Zhang 063; Quanshi Zhang (ICLR, 2022)

Defining and Quantifying the Emergence of Sparse Concepts in DNNs. - Jie Ren 018; Mingjie Li; Qirui Chen; Huiqi Deng; Quanshi Zhang (CVPR, 2023)

Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts. - Qihan Ren; Huiqi Deng; Yunuo Chen 002; Siyu Lou; Quanshi Zhang (ICML, 2023)

Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities. - Dongrui Liu; Huiqi Deng; Xu Cheng 005; Qihan Ren; Kangrui Wang; Quanshi Zhang (NeurIPS, 2023)

Concept-Level Explanation for the Generalization of a DNN. - Huilin Zhou; Hao Zhang 063; Huiqi Deng; Dongrui Liu; Wen Shen 002; Shih-Han Chan; Quanshi Zhang (CoRR, 2023)

Bayesian Neural Networks Tend to Ignore Complex and Sensitive Concepts. - Qihan Ren; Huiqi Deng; Yunuo Chen 002; Siyu Lou; Quanshi Zhang (CoRR, 2023)

Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions. - Huiqi Deng; Na Zou 001; Mengnan Du; Weifu Chen; Guocan Feng; Ziwei Yang; Zheyang Li; Quanshi Zhang (CoRR, 2023)

Towards Attributions of Input Variables in a Coalition. - Xinhao Zheng; Huiqi Deng; Quanshi Zhang (CoRR, 2023)

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

Explaining Generalization Power of a DNN Using Interactive Concepts. - Huilin Zhou; Hao Zhang 063; Huiqi Deng; Dongrui Liu; Wen Shen 002; Shih-Han Chan; Quanshi Zhang (AAAI, 2024)

Mitigating Shortcuts in Language Models with Soft Label Encoding. - Zirui He; Huiqi Deng; Haiyan Zhao 003; Ninghao Liu; Mengnan Du (LREC/COLING, 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 001; Jing Tao; Yuheng Xiong; Xiaohong Guan (ICML, 2024)

Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. - Hongbin Pei; Yuheng Xiong; Pinghui Wang; Jing Tao; Jialun Liu; Huiqi Deng; Jie Ma 001; Xiaohong Guan (WWW, 2024)

Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions. - Huiqi Deng; Na Zou 001; Mengnan Du; Weifu Chen; Guocan Feng; Ziwei Yang; Zheyang Li; Quanshi Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Explainability for Large Language Models: A Survey. - Haiyan Zhao 003; Hanjie Chen; Fan Yang 023; Ninghao Liu; Huiqi Deng; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Mengnan Du (ACM Trans. Intell. Syst. Technol., 2024)

Interpretability of Neural Networks Based on Game-theoretic Interactions. - Huilin Zhou; Jie Ren 018; Huiqi Deng; Xu Cheng 005; Jinpeng Zhang; Quanshi Zhang (Mach. Intell. Res., 2024)

HyperplaneGAN: a unified consistent translation framework for facial attribute editing. - Defang Li; Huiqi Deng; Peng Qin; Weifu Chen; Guocan Feng (Multim. Tools Appl., 2025)

Attribution Explanations for Deep Neural Networks: A Theoretical Perspective. - Huiqi Deng; Hongbin Pei; Quanshi Zhang; Mengnan Du (CoRR, 2025)