Zhang, Quanshi

48 publications

AAAI 2025 Monitoring Primitive Interactions During the Training of DNNs Jie Ren, Xinhao Zheng, Jiyu Liu, Andrew Lizarraga, Ying Nian Wu, Liang Lin, Quanshi Zhang

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

NeurIPS 2025 Towards the Resistance of Neural Network Fingerprinting to Fine-Tuning Ling Tang, YueFeng Chen, Hui Xue, Quanshi Zhang

AAAI 2024 Batch Normalization Is Blind to the First and Second Derivatives of the Loss Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Yuefeng Chen, Quanshi Zhang

AAAI 2024 Clarifying the Behavior and the Difficulty of Adversarial Training Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Quanshi Zhang

ICLR 2024 Defining and Extracting Generalizable Interaction Primitives from DNNs Lu Chen, Siyu Lou, Benhao Huang, 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

ICML 2024 Layerwise Change of Knowledge in Neural Networks Xu Cheng, Lei Cheng, Zhaoran Peng, Yang Xu, Tian Han, Quanshi Zhang

NeurIPS 2024 Towards the Dynamics of a DNN Learning Symbolic Interactions Qihan Ren, Junpeng Zhang, Yang Xu, Yue Xin, Dongrui Liu, Quanshi Zhang

ICLR 2024 Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs Qihan Ren, Jiayang Gao, Wen Shen, Quanshi Zhang

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

ICLR 2023 Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN? Jie Ren, Zhanpeng Zhou, Qirui Chen, Quanshi Zhang

ICML 2023 Defects of Convolutional Decoder Networks in Frequency Representation Ling Tang, Wen Shen, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang

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

ICML 2023 Does a Neural Network Really Encode Symbolic Concepts? Mingjie Li, Quanshi Zhang

ICML 2023 HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation Lu Chen, Siyu Lou, Keyan Zhang, Jin Huang, 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

AISTATS 2022 Exploring Image Regions Not Well Encoded by an INN Zenan Ling, Fan Zhou, Meng Wei, Quanshi Zhang

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

AAAI 2022 Interpretable Generative Adversarial Networks Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang

ICML 2022 Quantification and Analysis of Layer-Wise and Pixel-Wise Information Discarding Haotian Ma, Hao Zhang, Fan Zhou, Yinqing Zhang, Quanshi Zhang

ICML 2022 Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs Jie Ren, Mingjie Li, Meng Zhou, Shih-Han Chan, Quanshi Zhang

ICLR 2021 A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang

AAAI 2021 Building Interpretable Interaction Trees for Deep NLP Models Die Zhang, Hao Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Mengyue Wu, Quanshi Zhang

IJCAI 2021 Interpretable Compositional Convolutional Neural Networks Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang

ICCV 2021 Interpreting Attributions and Interactions of Adversarial Attacks Xin Wang, Shuyun Lin, Hao Zhang, Yufei Zhu, Quanshi Zhang

AAAI 2021 Interpreting Multivariate Shapley Interactions in DNNs Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang

NeurIPS 2021 Interpreting Representation Quality of DNNs for 3D Point Cloud Processing Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang

ICLR 2021 Interpreting and Boosting Dropout from a Game-Theoretic View Hao Zhang, Sen Li, YinChao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang

ICML 2021 Interpreting and Disentangling Feature Components of Various Complexity from DNNs Jie Ren, Mingjie Li, Zexu Liu, Quanshi Zhang

NeurIPS 2021 Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang

CVPR 2021 Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Panyue Chen, Ping Zhao, Quanshi Zhang

NeurIPS 2021 Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li, Shaobo Wang, Quanshi Zhang

ECCV 2020 3D-Rotation-Equivariant Quaternion Neural Networks Wen Shen, Binbin Zhang, Shikun Huang, Zhihua Wei, Quanshi Zhang

ICLR 2020 Interpretable Complex-Valued Neural Networks for Privacy Protection Liyao Xiang, Haotian Ma, Hao Zhang, Yifan Zhang, Jie Ren, Quanshi Zhang

ICLR 2020 Knowledge Consistency Between Neural Networks and Beyond Ruofan Liang, Tianlin Li, Longfei Li, Jing Wang, Quanshi Zhang

ICML 2019 Towards a Deep and Unified Understanding of Deep Neural Models in NLP Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie

AAAI 2018 Examining CNN Representations with Respect to Dataset Bias Quanshi Zhang, Wenguan Wang, Song-Chun Zhu

AAAI 2018 Interpreting CNN Knowledge via an Explanatory Graph Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu

AAAI 2017 Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu

CVPR 2017 Mining Object Parts from CNNs via Active Question-Answering Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu

AAAI 2015 A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie

ICCV 2015 Mining And-or Graphs for Graph Matching and Object Discovery Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu

CVPR 2014 Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki

AAAI 2014 Intelligent System for Urban Emergency Management During Large-Scale Disaster Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki

CVPR 2014 When 3D Reconstruction Meets Ubiquitous RGB-D Images Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki

CVPR 2013 Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models Quanshi Zhang, Xuan Song, Xiaowei Shao, Ryosuke Shibasaki, Huijing Zhao

ICCV 2013 Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki