Zhao, Jing

27 publications

ICML 2025 Circumventing Backdoor Space via Weight Symmetry Jie Peng, Hongwei Yang, Jing Zhao, Hengji Dong, Hui He, Weizhe Zhang, Haoyu He

UAI 2025 Letting Uncertainty Guide Your Multimodal Machine Translation Wuyi Liu, Yue Gao, Yige Mao, Jing Zhao

AAAI 2025 MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Yuhua Tang

IJCAI 2025 RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis Zhikang Zhao, Kaitao Chen, Jing Zhao

CVPR 2025 Spk2SRImgNet: Super-Resolve Dynamic Scene from Spike Stream via Motion Aligned Collaborative Filtering Yuanlin Wang, Yiyang Zhang, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Tiejun Huang

IJCAI 2025 UltraModel: A Modeling Paradigm for Industrial Objects Haoran Yang, Yinan Zhang, Qunshan He, Yuqi Ye, Jing Zhao, Wenhai Wang

CVPR 2024 Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations Rui Zhao, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Zhaofei Yu, Tiejun Huang

AAAI 2024 CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification Kaitao Chen, Shiliang Sun, Jing Zhao

AAAI 2024 Joint Demosaicing and Denoising for Spike Camera Yanchen Dong, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang

AAAI 2023 Learning to Super-Resolve Dynamic Scenes for Neuromorphic Spike Camera Jing Zhao, Ruiqin Xiong, Jian Zhang, Rui Zhao, Hangfan Liu, Tiejun Huang

ICCV 2023 MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wenjing Yang

JMLR 2023 Multi-View Collaborative Gaussian Process Dynamical Systems Shiliang Sun, Jingjing Fei, Jing Zhao, Liang Mao

ICCV 2023 RecursiveDet: End-to-End Region-Based Recursive Object Detection Jing Zhao, Li Sun, Qingli Li

AAAI 2023 SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion Lujie Xia, Jing Zhao, Ruiqin Xiong, Tiejun Huang

IJCAI 2022 Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation Tao Hu, Shiliang Sun, Jing Zhao, Dongyu Shi

NeurIPS 2022 Learning Optical Flow from Continuous Spike Streams Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan, Tiejun Huang

IJCAI 2022 TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning Yujia Li, Shiliang Sun, Jing Zhao

CVPRW 2021 A Universal Encoder Rate Distortion Optimization Framework for Learned Compression Jing Zhao, Bin Li, Jiahao Li, Ruiqin Xiong, Yan Lu

AAAI 2021 ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion Daoming Zong, Shiliang Sun, Jing Zhao

CVPR 2021 Spk2ImgNet: Learning to Reconstruct Dynamic Scene from Continuous Spike Stream Jing Zhao, Ruiqin Xiong, Hangfan Liu, Jian Zhang, Tiejun Huang

ICCV 2021 Super Resolve Dynamic Scene from Continuous Spike Streams Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang

AAAI 2020 Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) Xiao Liu, Jing Zhao, Shiliang Sun

AAAI 2020 Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract) Yueyue Hu, Shiliang Sun, Xin Xu, Jing Zhao

AAAI 2019 Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles

CVPRW 2019 Pyramid Convolutional Network for Single Image Deraining Jing Zhao, Jiyu Xie, Ruiqin Xiong, Siwei Ma, Tiejun Huang, Wen Gao

JMLR 2016 Variational Dependent Multi-Output Gaussian Process Dynamical Systems Jing Zhao, Shiliang Sun

IJCAI 2015 Revisiting Gaussian Process Dynamical Models Jing Zhao, Shiliang Sun