Hao Zhang

63 papers A* 22Journal 39Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bidirectional Beta-Tuned Diffusion Model.
IEEE Trans. Pattern Anal. Mach. Intell.
Tianyi Zheng, Jiayang Zou, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li
2026 A* conf
Bidirectional Noise Injection: Enhancing Diffusion Models via Coordinated Input-Output Perturbation.
AAAI
Tianyi Zheng, Jiayang Gao, Peng-Tao Jiang, Fengxiang Yang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li
2026 J jnl
C
CoRR
Jiayang Gao, Tianyi Zheng, Jiayang Zou, Fengxiang Yang, Shice Liu, Luyao Fan, Zheyu Zhang, Hao Zhang, Jinwei Chen, Peng-Tao Jiang, Bo Li, Jia Wang
2026 J jnl
Diffusion for automatic matting.
Neurocomputing
Longfei Huang, Yu Liang, Hao Zhang, Xinning Zhu, Lunde Chen
2026 J jnl
SEMat: Semantic Enhanced Natural Image Interactive Matting.
IEEE Trans. Circuits Syst. Video Technol.
Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Qianru Sun, Yang Tang, Bo Li, Pan Zhou
2025 A* conf
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning.
AAAI
Yuti Liu, Shice Liu, Junyuan Gao, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li
2025 A* conf
Boosting Vision State Space Model with Fractal Scanning.
AAAI
Haoke Xiao, Lv Tang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li
2025 J jnl
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation.
CoRR
Ziyang Song, Zerong Wang, Bo Li, Hao Zhang, Ruijie Zhu, Li Liu, Peng-Tao Jiang, Tianzhu Zhang
2025 A* conf
High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity.
ICLR
Qian Yu, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Lihe Zhang, Huchuan Lu
2025 J jnl
Interpretable Rotation-Equivariant Multiary-Valued Network for Attribute Obfuscation.
IEEE Trans. Pattern Anal. Mach. Intell.
Quanshi Zhang, Hao Zhang, Yiting Chen, Qihan Ren, Jie Ren, Xu Cheng, Liyao Xiang
2025 A* conf
Learning Adaptive Lighting via Channel-Aware Guidance.
ICML
Qirui Yang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Huanjing Yue, Jingyu Yang
2025 J jnl
MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on.
CoRR
Guangyuan Li, Siming Zheng, Hao Zhang, Jinwei Chen, Junsheng Luan, Binkai Ou, Lei Zhao, Bo Li, Peng-Tao Jiang
2025 A* conf
Multi-Task Dense Predictions via Unleashing the Power of Diffusion.
ICLR
Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li
2025 J jnl
SDMatte: Grafting Diffusion Models for Interactive Matting.
CoRR
Longfei Huang, Yu Liang, Hao Zhang, Jinwei Chen, Wei Dong, Lunde Chen, Wanyu Liu, Bo Li, Peng-Tao Jiang
2024 J jnl
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning.
CoRR
Yuti Liu, Shice Liu, Junyuan Gao, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li
2024 — conf
Beta-Tuned Timestep Diffusion Model.
ECCV (3)
Tianyi Zheng, Peng-Tao Jiang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li
2024 J jnl
CPA: Camera-pose-awareness Diffusion Transformer for Video Generation.
CoRR
Yuelei Wang, Jian Zhang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li
2024 A* conf
Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection.
ACM Multimedia
Lv Tang, Peng-Tao Jiang, Zhihao Shen, Hao Zhang, Jinwei Chen, Bo Li
2024 A* conf
Clarifying the Behavior and the Difficulty of Adversarial Training.
AAAI
Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Quanshi Zhang
2024 J jnl
ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer.
CoRR
Yuhao Wan, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Ming-Ming Cheng, Bo Li
2024 J jnl
ConsisSR: Delving Deep into Consistency in Diffusion-based Image Super-Resolution.
CoRR
Junhao Gu, Peng-Tao Jiang, Hao Zhang, Mi Zhou, Jinwei Chen, Wenming Yang, Bo Li
2024 A* conf
Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models.
NDSS
Shiming Wang, Zhe Ji, Liyao Xiang, Hao Zhang, Xinbing Wang, Chenghu Zhou, Bo Li
2024 J jnl
Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models.
CoRR
Shiming Wang, Zhe Ji, Liyao Xiang, Hao Zhang, Xinbing Wang, Chenghu Zhou, Bo Li
2024 J jnl
Empowering Segmentation Ability to Multi-modal Large Language Models.
CoRR
Yuqi Yang, Peng-Tao Jiang, Jing Wang, Hao Zhang, Kai Zhao, Jinwei Chen, Bo Li
2024 A* conf
Explaining Generalization Power of a DNN Using Interactive Concepts.
AAAI
Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang
2024 J jnl
High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity.
CoRR
Qian Yu, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Lihe Zhang, Huchuan Lu
2024 A* conf
Improving Adversarial Energy-Based Model via Diffusion Process.
ICML
Cong Geng, Tian Han, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Søren Hauberg, Bo Li
2024 J jnl
Improving Adversarial Energy-Based Model via Diffusion Process.
CoRR
Cong Geng, Tian Han, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Søren Hauberg, Bo Li
2024 J jnl
Learning Adaptive Lighting via Channel-Aware Guidance.
CoRR
Qirui Yang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Huanjing Yue, Jingyu Yang
2024 A* conf
Multi-Task Dense Prediction via Mixture of Low-Rank Experts.
CVPR
Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li
2024 J jnl
Multi-Task Dense Prediction via Mixture of Low-Rank Experts.
CoRR
Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li
2024 A* conf
Non-uniform Timestep Sampling: Towards Faster Diffusion Model Training.
ACM Multimedia
Tianyi Zheng, Cong Geng, Peng-Tao Jiang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li
2024 A* conf
Revisiting Single Image Reflection Removal in the Wild.
CVPR
Yurui Zhu, Xueyang Fu, Peng-Tao Jiang, Hao Zhang, Qibin Sun, Jinwei Chen, Zheng-Jun Zha, Bo Li
2024 — conf
SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging.
ECCV (26)
Lingtong Kong, Bo Li, Yike Xiong, Hao Zhang, Hong Gu, Jinwei Chen
2024 J jnl
SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging.
CoRR
Lingtong Kong, Bo Li, Yike Xiong, Hao Zhang, Hong Gu, Jinwei Chen
2024 J jnl
Scalable Visual State Space Model with Fractal Scanning.
CoRR
Lv Tang, Haoke Xiao, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li
2024 J jnl
Towards Natural Image Matting in the Wild via Real-Scenario Prior.
CoRR
Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Qianru Sun, Yang Tang, Bo Li, Pan Zhou
2024 A* conf
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation.
NeurIPS
Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou
2024 J jnl
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation.
CoRR
Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou
2023 J jnl
Concept-Level Explanation for the Generalization of a DNN.
CoRR
Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang
2023 J jnl
Explaining How a Neural Network Play the Go Game and Let People Learn.
CoRR
Huilin Zhou, Huijie Tang, Mingjie Li, Hao Zhang, Zhenyu Liu, Quanshi Zhang
2023 J jnl
Generalization and Hallucination of Large Vision-Language Models through a Camouflaged Lens.
CoRR
Lv Tang, Peng-Tao Jiang, Zhihao Shen, Hao Zhang, Jinwei Chen, Bo Li
2023 J jnl
Revisiting Single Image Reflection Removal In the Wild.
CoRR
Yurui Zhu, Xueyang Fu, Peng-Tao Jiang, Hao Zhang, Qibin Sun, Jinwei Chen, Zheng-Jun Zha, Bo Li
2022 A* conf
Discovering and Explaining the Representation Bottleneck of DNNS.
ICLR
Huiqi Deng, Qihan Ren, Hao Zhang, Quanshi Zhang
2022 A* conf
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding.
ICML
Haotian Ma, Hao Zhang, Fan Zhou, Yinqing Zhang, Quanshi Zhang
2022 J jnl
Why Adversarial Training of ReLU Networks Is Difficult?
CoRR
Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Jie Ren, Quanshi Zhang
2021 A* conf
Building Interpretable Interaction Trees for Deep NLP Models.
AAAI
Die Zhang, Hao Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Mengyue Wu, Quanshi Zhang
2021 J jnl
Discovering and Explaining the Representation Bottleneck of DNNs.
CoRR
Huiqi Deng, Qihan Ren, Xu Chen, Hao Zhang, Jie Ren, Quanshi Zhang
2021 A* conf
Interpreting Attributions and Interactions of Adversarial Attacks.
ICCV
Xin Wang, Shuyun Lin, Hao Zhang, Yufei Zhu, Quanshi Zhang
2021 J jnl
Interpreting Attributions and Interactions of Adversarial Attacks.
CoRR
Xin Wang, Shuyun Lin, Hao Zhang, Yufei Zhu, Quanshi Zhang
2021 A* conf
Interpreting Multivariate Shapley Interactions in DNNs.
AAAI
Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang
2021 A* conf
Interpreting and Boosting Dropout from a Game-Theoretic View.
ICLR
Hao Zhang, Sen Li, Yinchao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang
2021 J jnl
Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI.
CoRR
Quanshi Zhang, Tian Han, Lixin Fan, Zhanxing Zhu, Hang Su, Ying Nian Wu, Jie Ren, Hao Zhang
2020 J jnl
Deep Quaternion Features for Privacy Protection.
CoRR
Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang
2020 J jnl
Game-Theoretic Interactions of Different Orders.
CoRR
Hao Zhang, Xu Cheng, Yiting Chen, Quanshi Zhang
2020 A* conf
Interpretable Complex-Valued Neural Networks for Privacy Protection.
ICLR
Liyao Xiang, Hao Zhang, Haotian Ma, Yifan Zhang, Jie Ren, Quanshi Zhang
2020 J jnl
Interpreting Hierarchical Linguistic Interactions in DNNs.
CoRR
Die Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Hao Zhang, Mengyue Wu, Quanshi Zhang
2020 J jnl
Interpreting Multivariate Interactions in DNNs.
CoRR
Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang
2020 J jnl
Interpreting and Boosting Dropout from a Game-Theoretic View.
CoRR
Hao Zhang, Sen Li, Yinchao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang
2020 J jnl
Rotation-Equivariant Neural Networks for Privacy Protection.
CoRR
Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang
2019 J jnl
Complex-Valued Neural Networks for Privacy Protection.
CoRR
Liyao Xiang, Haotian Ma, Hao Zhang, Yifan Zhang, Quanshi Zhang
2019 J jnl
Towards a Unified Evaluation of Explanation Methods without Ground Truth.
CoRR
Hao Zhang, Jiayi Chen, Haotian Xue, Quanshi Zhang
2018 J jnl
Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations.
Comput. Vis. Image Underst.
Quanshi Zhang, Ying Nian Wu, Hao Zhang, Song-Chun Zhu