Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations. - Quanshi Zhang; Ying Nian Wu; Hao Zhang 063; Song-Chun Zhu (Comput. Vis. Image Underst., 2018)

Complex-Valued Neural Networks for Privacy Protection. - Liyao Xiang; Haotian Ma; Hao Zhang 063; Yifan Zhang; Quanshi Zhang (CoRR, 2019)

Towards a Unified Evaluation of Explanation Methods without Ground Truth. - Hao Zhang 063; Jiayi Chen; Haotian Xue; Quanshi Zhang (CoRR, 2019)

Interpretable Complex-Valued Neural Networks for Privacy Protection. - Liyao Xiang; Hao Zhang 063; Haotian Ma; Yifan Zhang; Jie Ren 018; Quanshi Zhang (ICLR, 2020)

Deep Quaternion Features for Privacy Protection. - Hao Zhang 063; Yiting Chen 003; Liyao Xiang; Haotian Ma; Jie Shi; Quanshi Zhang (CoRR, 2020)

Rotation-Equivariant Neural Networks for Privacy Protection. - Hao Zhang 063; Yiting Chen 003; Haotian Ma; Xu Cheng 005; Qihan Ren; Liyao Xiang; Jie Shi; Quanshi Zhang (CoRR, 2020)

Interpreting Hierarchical Linguistic Interactions in DNNs. - Die Zhang; Huilin Zhou; Xiaoyi Bao; Da Huo 002; Ruizhao Chen; Xu Cheng 005; Hao Zhang 063; Mengyue Wu; Quanshi Zhang (CoRR, 2020)

Interpreting Multivariate Interactions in DNNs. - Hao Zhang 063; Yichen Xie 002; Longjie Zheng; Die Zhang; Quanshi Zhang (CoRR, 2020)

Game-Theoretic Interactions of Different Orders. - Hao Zhang 063; Xu Cheng 005; Yiting Chen 003; Quanshi Zhang (CoRR, 2020)

Interpreting Multivariate Shapley Interactions in DNNs. - Hao Zhang 063; Yichen Xie 002; Longjie Zheng; Die Zhang; Quanshi Zhang (AAAI, 2021)

Building Interpretable Interaction Trees for Deep NLP Models. - Die Zhang; Hao Zhang 063; Huilin Zhou; Xiaoyi Bao; Da Huo 002; Ruizhao Chen; Xu Cheng 005; Mengyue Wu; Quanshi Zhang (AAAI, 2021)

Interpreting Attributions and Interactions of Adversarial Attacks. - Xin Wang 108; Shuyun Lin; Hao Zhang 063; Yufei Zhu; Quanshi Zhang (ICCV, 2021)

Interpreting and Boosting Dropout from a Game-Theoretic View. - Hao Zhang 063; Sen Li; Yinchao Ma; Mingjie Li; Yichen Xie 002; Quanshi Zhang (ICLR, 2021)

Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI. - Quanshi Zhang; Tian Han 001; Lixin Fan; Zhanxing Zhu; Hang Su; Ying Nian Wu; Jie Ren 018; Hao Zhang 063 (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)

Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding. - Haotian Ma; Hao Zhang 063; Fan Zhou; Yinqing Zhang; Quanshi Zhang (ICML, 2022)

Why Adversarial Training of ReLU Networks Is Difficult? - Xu Cheng 005; Hao Zhang 063; Yue Xin; Wen Shen 002; Jie Ren 018; Quanshi Zhang (CoRR, 2022)

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)

Explaining How a Neural Network Play the Go Game and Let People Learn. - Huilin Zhou; Huijie Tang; Mingjie Li; Hao Zhang 063; Zhenyu Liu; Quanshi Zhang (CoRR, 2023)

Generalization and Hallucination of Large Vision-Language Models through a Camouflaged Lens. - Lv Tang; Peng-Tao Jiang; Zhihao Shen; Hao Zhang 063; Jinwei Chen; Bo Li 115 (CoRR, 2023)

Clarifying the Behavior and the Difficulty of Adversarial Training. - Xu Cheng 005; Hao Zhang 063; Yue Xin; Wen Shen 002; Quanshi Zhang (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)

SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging. - Lingtong Kong; Bo Li 115; Yike Xiong; Hao Zhang 063; Hong Gu; Jinwei Chen (ECCV (26), 2024)

Beta-Tuned Timestep Diffusion Model. - Tianyi Zheng; Peng-Tao Jiang; Ben Wan; Hao Zhang 063; Jinwei Chen; Jia Wang 004; Bo Li 115 (ECCV (3), 2024)

Improving Adversarial Energy-Based Model via Diffusion Process. - Cong Geng; Tian Han 001; Peng-Tao Jiang; Hao Zhang 063; Jinwei Chen; Søren Hauberg; Bo Li 115 (ICML, 2024)

Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection. - Lv Tang; Peng-Tao Jiang; Zhihao Shen; Hao Zhang 063; Jin-Wei Chen; Bo Li 115 (ACM Multimedia, 2024)

Non-uniform Timestep Sampling: Towards Faster Diffusion Model Training. - Tianyi Zheng; Cong Geng; Peng-Tao Jiang; Ben Wan; Hao Zhang 063; Jinwei Chen; Jia Wang 004; Bo Li 115 (ACM Multimedia, 2024)

Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models. - Shiming Wang; Zhe Ji; Liyao Xiang; Hao Zhang 063; Xinbing Wang; Chenghu Zhou; Bo Li 115 (NDSS, 2024)

Scalable Visual State Space Model with Fractal Scanning. - Lv Tang; Haoke Xiao; Peng-Tao Jiang; Hao Zhang 063; Jinwei Chen; Bo Li 115 (CoRR, 2024)

ConsisSR: Delving Deep into Consistency in Diffusion-based Image Super-Resolution. - Junhao Gu; Peng-Tao Jiang; Hao Zhang 063; Mi Zhou; Jinwei Chen; Wenming Yang; Bo Li 115 (CoRR, 2024)

ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer. - Yuhao Wan; Peng-Tao Jiang; Qibin Hou; Hao Zhang 063; Jinwei Chen; Ming-Ming Cheng; Bo Li 115 (CoRR, 2024)

Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning. - Yuti Liu; Shice Liu; Junyuan Gao; Peng-Tao Jiang; Hao Zhang 063; Jinwei Chen; Bo Li 115 (CoRR, 2024)

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity. - Qian Yu; Peng-Tao Jiang; Hao Zhang 063; Jinwei Chen; Bo Li 115; Lihe Zhang; Huchuan Lu (ICLR, 2025)

DepthMaster: Taming Diffusion Models for Monocular Depth Estimation. - Ziyang Song; Zerong Wang; Bo Li 115; Hao Zhang 063; Ruijie Zhu 002; Li Liu 067; Peng-Tao Jiang; Tianzhu Zhang 001 (CoRR, 2025)