Asymmetric Joint Learning for Heterogeneous Face Recognition. - Bing Cao 002; Nannan Wang 001; Xinbo Gao 001; Jie Li 001 (AAAI, 2018)

Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition. - Bing Cao 002; Nannan Wang 001; Xinbo Gao 001; Jie Li 001; Zhifeng Li 001 (IJCAI, 2019)

Data Augmentation-Based Joint Learning for Heterogeneous Face Recognition. - Bing Cao 002; Nannan Wang 001; Jie Li 001; Xinbo Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis. - Bing Cao 002; Han Zhang 002; Nannan Wang 001; Xinbo Gao 001; Dinggang Shen (AAAI, 2020)

Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. - Erkun Yang; Dongren Yao; Bing Cao 002; Hao Guan; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (MICCAI (1), 2020)

Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. - Erkun Yang; Mingxia Liu 001; Dongren Yao; Bing Cao 002; Chunfeng Lian; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis. - Zhengyao Lv; Xiaoming Li 002; Zhenxing Niu; Bing Cao 002; Wangmeng Zuo (CVPR, 2022)

DetFusion: A Detection-driven Infrared and Visible Image Fusion Network. - Yiming Sun 003; Bing Cao 002; Pengfei Zhu 001; Qinghua Hu (ACM Multimedia, 2022)

HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping. - Qinghe Wang; Lijie Liu; Miao Hua; Qian He; Pengfei Zhu 001; Bing Cao 002; Qinghua Hu (CoRR, 2022)

Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation. - Junwen Pan; Pengfei Zhu 001; Kaihua Zhang 001; Bing Cao 002; Yu Wang 106; Dingwen Zhang; Junwei Han; Qinghua Hu (Int. J. Comput. Vis., 2022)

Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network. - Pu Huang; Dengwang Li; Zhicheng Jiao; Dongming Wei; Bing Cao 002; Zhanhao Mo; Qian Wang 001; Han Zhang 002; Dinggang Shen (Medical Image Anal., 2022)

Face photo-sketch synthesis via full-scale identity supervision. - Bing Cao 002; Nannan Wang 001; Jie Li 001; Qinghua Hu; Xinbo Gao 001 (Pattern Recognit., 2022)

Curiosity-Driven Class-Incremental Learning via Adaptive Sample Selection. - Qinghua Hu; Yucong Gao; Bing Cao 002 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning. - Yiming Sun 003; Bing Cao 002; Pengfei Zhu 001; Qinghua Hu (IEEE Trans. Circuits Syst. Video Technol., 2022)

Self-Supervised Fully Automatic Learning Machine for Intelligent Retail Container. - Pengfei Zhu 001; Yiming Sun 003; Bing Cao 002; Xiaoyu Liu 005; Xin Liu; Qinghua Hu (IEEE Trans. Instrum. Meas., 2022)

Learning a Prototype Discriminator With RBF for Multimodal Image Synthesis. - Zhiwei Bi; Bing Cao 002; Wangmeng Zuo; Qinghua Hu (IEEE Trans. Image Process., 2022)

Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion. - Bing Cao 002; Yiming Sun 003; Pengfei Zhu 001; Qinghua Hu (ICCV, 2023)

MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion. - Yiming Sun 003; Bing Cao 002; Pengfei Zhu 001; Qinghua Hu (CoRR, 2023)

Bi-directional Adapter for Multi-modal Tracking. - Bing Cao 002; Junliang Guo; Pengfei Zhu 001; Qinghua Hu (CoRR, 2023)

AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis. - Bing Cao 002; Zhiwei Bi; Qinghua Hu; Han Zhang 002; Nannan Wang 001; Xinbo Gao 001; Dinggang Shen (Int. J. Comput. Vis., 2023)

Cross-Drone Transformer Network for Robust Single Object Tracking. - Guanlin Chen; Pengfei Zhu 001; Bing Cao 002; Xing Wang; Qinghua Hu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Bi-directional Adapter for Multimodal Tracking. - Bing Cao 002; Junliang Guo; Pengfei Zhu 001; Qinghua Hu (AAAI, 2024)

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. - Yichen Bai; Zongbo Han; Bing Cao 002; Xiaoheng Jiang; Qinghua Hu; Changqing Zhang (CVPR, 2024)

Task-Customized Mixture of Adapters for General Image Fusion. - Pengfei Zhu 001; Yang Sun; Bing Cao 002; Qinghua Hu (CVPR, 2024)

Visible and Clear: Finding Tiny Objects in Difference Map. - Bing Cao 002; Haiyu Yao; Pengfei Zhu 001; Qinghua Hu (ECCV (17), 2024)

Predictive Dynamic Fusion. - Bing Cao 002; Yinan Xia; Yi Ding; Changqing Zhang; Qinghua Hu (ICML, 2024)

Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion. - Yiming Sun 003; Bing Cao 002; Pengfei Zhu 001; Qinghua Hu (IJCAI, 2024)

Exploring What to Share for Multimodal Image Synthesis. - Guoliang Qi; Bing Cao 002; Qinghua Hu (IJCNN, 2024)

Conditional Controllable Image Fusion. - Bing Cao 002; Xingxin Xu; Pengfei Zhu 001; Qilong Wang 001; Qinghua Hu (NeurIPS, 2024)

Test-Time Dynamic Image Fusion. - Bing Cao 002; Yinan Xia; Yi Ding; Changqing Zhang; Qinghua Hu (NeurIPS, 2024)

S3: Synonymous Semantic Space for Improving Zero-Shot Generalization of Vision-Language Models. - Xiaojie Yin; Qilong Wang 001; Bing Cao 002; Qinghua Hu (CoRR, 2024)

Deep Attention-Guided Spatial-Spectral Network for Hyperspectral Image Unmixing. - Lin Qi 004; Mengyi Yue; Feng Gao 005; Bing Cao 002; Junyu Dong; Xinbo Gao 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis. - Bing Cao 002; Haifang Cao; Jiaxu Liu; Pengfei Zhu 001; Changqing Zhang; Qinghua Hu (IEEE Trans. Multim., 2024)

Multi-View Knowledge Ensemble With Frequency Consistency for Cross-Domain Face Translation. - Bing Cao 002; Qinghe Wang; Pengfei Zhu 001; Qinghua Hu; Dongwei Ren; Wangmeng Zuo; Xinbo Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-Task Credible Pseudo-Label Learning for Semi-Supervised Crowd Counting. - Pengfei Zhu 001; Jingqing Li; Bing Cao 002; Qinghua Hu (IEEE Trans. Neural Networks Learn. Syst., 2024)

LiDAR-Camera Continuous Fusion in Voxelized Grid for Semantic Scene Completion. - Zonghao Lu; Bing Cao 002; Qinghua Hu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Asymmetric Reinforcing Against Multi-Modal Representation Bias. - Xiyuan Gao; Bing Cao 002; Pengfei Zhu 001; Nannan Wang 001; Qinghua Hu (AAAI, 2025)

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark. - Bing Cao 002; Quanhao Lu; Jiekang Feng; Qilong Wang 001; Pengfei Zhu 001; Qinghua Hu (ICLR, 2025)

Geometry-semantic aware for monocular 3D Semantic Scene Completion. - Zonghao Lu; Bing Cao 002; Shuyin Xia; Qinghua Hu (Pattern Recognit., 2025)

RTF: Recursive TransFusion for Multi-Modal Image Synthesis. - Bing Cao 002; Guoliang Qi; Jiaming Zhao; Pengfei Zhu 001; Qinghua Hu; Xinbo Gao 001 (IEEE Trans. Image Process., 2025)

CharacterFactory: Sampling Consistent Characters With GANs for Diffusion Models. - Qinghe Wang; Baolu Li; Xiaomin Li; Bing Cao 002; Liqian Ma; Huchuan Lu; Xu Jia 012 (IEEE Trans. Image Process., 2025)

Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion. - Xingxin Xu; Bing Cao 002; Yinan Xia; Pengfei Zhu 001; Qinghua Hu (CoRR, 2025)

Dig2DIG: Dig into Diffusion Information Gains for Image Fusion. - Bing Cao 002; Baoshuo Cai; Changqing Zhang; Qinghua Hu (CoRR, 2025)

RD-OpenMax: Rethinking OpenMax for Robust Realistic Open-Set Recognition. - Xiaojie Yin; Bing Cao 002; Qinghua Hu; Qilong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Bi-directional Self-Registration for Misaligned Infrared-Visible Image Fusion. - Timing Li; Bing Cao 002; Pengfei Zhu 001; Bin Xiao 002; Qinghua Hu (CoRR, 2025)

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion. - Timing Li; Bing Cao 002; Jiahe Feng; Haifang Cao; Qinghau Hu; Pengfei Zhu 001 (CoRR, 2025)

Unknown Support Prototype Set for Open Set Recognition. - Guosong Jiang; Pengfei Zhu 001; Bing Cao 002; Dongyue Chen; Qinghua Hu (Int. J. Comput. Vis., 2025)