Bing Cao (曹兵)，Ph.D.
Professor (天津大学 教授)
Tianjin Key Lab of Machine Learning
College of Intelligence and Computing
Tianjin University
Tianjin, China, 300072
Email: caobing at tju.edu.cn
Homepage: https://bcaosudo.github.io
Tianjin Key Lab of Machine Learning College of Intelligence and Computing
Tianjin University
Tianjin, China, 300072
Email: caobing at tju.edu.cn
Homepage: https://bcaosudo.github.io
2025级博士、硕士研究生还有少量考研名额，欢迎申请加入课题组
邮件咨询 caobing@tju.edu.cn.
（要求：自驱力&上进心）
ABOUT ME
I am a professor at the College of Intelligence and Computing of Tianjin University, working with Prof. Qinghua Hu. I received the Ph.D. degree from Xidian University under the supervision of Prof. Xinbo Gao in 2020. From April. 2019 to July. 2020, I am a research assistant at IDEA Lab in University of North Carolina at Chapel Hill, supervised by Prof. Dinggang Shen. My research interests are on multimodal learning and computer vision, and their applications on intelligent unmanned systems and smart medicine.
曹兵，天津大学智能与计算学部教授，主要研究方向为多模态人工智能、计算机视觉、智能无人系统、智能医学。2020年博士毕业于西安电子科技大学，师从高新波教授；2019年-2020年在北卡罗拉纳大学教堂山分校博士联合培养，导师沈定刚教授；2020年加入天津大学智能与计算学部胡清华教授团队，担任助理研究员、副研究员；2025年1月晋升教授（破格）。目前，在ICML/NeurIPS/ICLR、CVPR/ICCV/ECCV、IEEE Trans./IJCV等国际会议和期刊上发表论文40余篇，受邀为IEEE TPAMI、IJCV、CVPR、ICCV、ECCV、NeurIPS、ICML、ICLR等多个国际高水平期刊及会议审稿。主持和参与多项国家自然基金面上项目、青年项目、重点项目。获得天津市自然科学一等奖、吴文俊人工智能科技进步一等奖等。
Latest News
- [Jan. 29, 2025] One paper was accepted by IEEE T-IP.
- [Jan. 23, 2025] One paper was accepted by ICLR 2025.
- [Dec. 10, 2024] One paper was accepted by AAAI 2025.
- [Oct.14, 2023] Two students honored with National Scholarship, Ministry of Education (国家奖学金). Congrats to Yang Sun and Yinan Xia.
- [Sep. 26, 2024] Two papers were accepted by NeurIPS 2024.
- [Sep. 17, 2024] One paper was accepted by PR.
- [Jul. 25, 2024] One paper was accepted by IEEE T-CSVT.
- [Jul. 1, 2024] One paper was accepted by ECCV 2024.
- [May 2, 2024] One paper was accepted by ICML 2024.
- [Apr. 17, 2024] One paper was accepted by IJCAI 2024.
- [Feb.27, 2024] Two papers were accepted by CVPR 2024.
- [Dec.09, 2023] One paper was accepted by AAAI 2024.
- [Oct.14, 2023] Two students honored with National Scholarship, Ministry of Education (国家奖学金). Congrats to Yiming and Zhiwei.
- [Jul. 14, 2023] One paper was accepted by ICCV 2023.
- [May 17, 2023] One paper was accepted by IEEE T-CSVT.
- [Apr. 29, 2023] One paper was accepted by IEEE T-MM.
- [Mar. 28, 2023] One paper was accepted by IJCV.
- [Feb. 09, 2023] One paper was accepted by IEEE T-NNLS.
- [Jan. 09, 2023] One paper was accepted by IEEE T-NNLS.
- [Oct. 06, 2022] One paper was accepted by IEEE T-IP.
- [Aug. 19, 2022] One paper was accepted by IEEE T-IM.
- [Jul. 30, 2022] One paper was accepted by IEEE T-CSVT.
- [Jun. 30, 2022] One paper was accepted by ACM MM 2022.
- [May. 10, 2022] One paper was accepted by MIA.
- [Apr. 02, 2022] One paper was accepted by IEEE T-CSVT.
- [Mar. 02, 2022] One paper was accepted by CVPR 2022.
- [Feb. 28, 2022] One paper was accepted by 中国科学:信息科学.
- [Jan. 15, 2022] One paper was accepted by PR.
Experiences
- 2015-2020 西安电子科技大学/Xidian University 工学博士
- 2019-2020 美国北卡罗来纳大学-教堂山分校/University of North Carolina at Chapel Hill 博士联合培养
- 2020-2024 天津大学/Tianjin University 助理研究员、副研究员
- 2025-至今 天津大学/Tianjin University 教授
Selected Publications
2025
- Asymmetric Reinforcing against Multi-modal Representation Bias
Xiyuan Gao, Bing Cao*, Pengfei Zhu, Nannan Wang, Qinghua Hu
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.
[Paper] [Code]
- Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
Bing Cao, Quanhao Lu, Jiekang Feng, Qilong Wang, Pengfei Zhu
The International Conference on Learning Representations (ICLR), 2025.
[Paper] [Code]
- RTF: Recursive TransFusion for Multi-Modal Image Synthesis
Bing Cao, Guoliang Qi, Jiaming Zhao, Pengfei Zhu, Qinghua Hu, Xinbo Gao
IEEE Transactions on Image Processing (IEEE TIP), 2025.
[Paper] [Code]
2024
- Test-Time Dynamic Image Fusion
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
[Paper] [Code]
- Conditional Controllable Image Fusion
Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu
The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
[Paper] [Code]
- Visible and Clear: Finding Tiny Objects in Difference Map
Bing Cao, Haiyu Yao, Pengfei Zhu, Qinghua Hu
European Conference on Computer Vision (ECCV), 2024.
[Paper] [Code]
- Predictive Dynamic Fusion
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
International Conference on Machine Learning (ICML), 2024.
[Paper] [Code]
- Task-Customized Mixture of Adapters for General Image Fusion
Pengfei Zhu, Yang Sun, Bing Cao*, Qinghua Hu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper] [Code]
- ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Yichen Bai, Zongbo Han, Bing Cao*, Changqing Zhang*, Qinghua Hu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper] [Code]
- Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion
Yiming Sun, Bing Cao*, Pengfei Zhu, Qinghua Hu
The Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI), 2024.
[Paper] [Code]
- Bi-directional Adapter for Multimodal Tracking
Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.
[Paper] [Code]
2023
- AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis
Bing Cao, Zhiwei Bi, Qinghua Hu, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen
International Journal of Computer Vision (IJCV), 2023.
[Paper] [Code]
- Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion
Bing Cao, Yiming Sun, Pengfei Zhu, Qinghua Hu
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[Paper] [Code]
- Multi-Task Credible Pseudo-Label Learning for Semi-Supervised Crowd Counting
Pengfei Zhu, Jingqing Li, Bing Cao* , Qinghua Hu
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023.
[Paper] [Code]
- Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis
Bing Cao, Haifang Cao, Jiaxu Liu, Pengfei Zhu, Changqing Zhang, Qinghua Hu
IEEE Transactions on Multimedia (IEEE TMM), 2023.
[Paper] [Code]
- Multi-view Knowledge Ensemble With Frequency Consistency for Cross-Domain Face Translation
Bing Cao, Qinghe Wang, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Wangmeng Zuo, Xinbo Gao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
2022 and Previous
- Learning a Prototype Discriminator With RBF for Multimodal Image Synthesis
Zhiwei Bi, Bing Cao*, Wangmeng Zuo, Qinghua Hu
IEEE Transactions on Image Processing (TIP), 2022.
[Paper] [Code]
- DetFusion: A Detection-driven Infrared and Visible Image Fusion Network
Yiming Sun, Bing Cao*, Pengfei Zhu, Qinghua Hu
Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022.
[Paper] [Code]
- Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
Yiming Sun*, Bing Cao*, Pengfei Zhu, Qinghua Hu
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
[Paper] [Code]
- Curiosity-Driven Class-Incremental Learning via Adaptive Sample Selection
Qinghua Hu, Yucong Gao, Bing Cao*
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
- Face photo-sketch synthesis via full-scale identity supervision
Bing Cao, Nannan Wang, Jie Li, Qinghua Hu, Xinbo Gao
Pattern Recognition (PR), 2022.
- Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis
Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao and Dinggang Shen
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020.
- Multi-margin based decorrelation learning for heterogeneous face recognition
Bing Cao, Nannan Wang, Xinbo Gao, Jie Li and Zhifeng Li
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 2019.
- Data Augmentation-Based Joint Learning for Heterogeneous Face Recognition
Bing Cao, Nannan Wang, Jie Li and Xinbo Gao
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2018.
- Asymmetric joint learning for heterogeneous face recognition
Bing Cao, Nannan Wang, Xinbo Gao and Jie Li
Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18),
2018.
Xiyuan Gao, Bing Cao*, Pengfei Zhu, Nannan Wang, Qinghua Hu
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.
[Paper] [Code]
Bing Cao, Quanhao Lu, Jiekang Feng, Qilong Wang, Pengfei Zhu
The International Conference on Learning Representations (ICLR), 2025.
[Paper] [Code]
Bing Cao, Guoliang Qi, Jiaming Zhao, Pengfei Zhu, Qinghua Hu, Xinbo Gao
IEEE Transactions on Image Processing (IEEE TIP), 2025.
[Paper] [Code]
- Test-Time Dynamic Image Fusion
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
[Paper] [Code] - Conditional Controllable Image Fusion
Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu
The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
[Paper] [Code] - Visible and Clear: Finding Tiny Objects in Difference Map
Bing Cao, Haiyu Yao, Pengfei Zhu, Qinghua Hu
European Conference on Computer Vision (ECCV), 2024.
[Paper] [Code] - Predictive Dynamic Fusion
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
International Conference on Machine Learning (ICML), 2024.
[Paper] [Code] - Task-Customized Mixture of Adapters for General Image Fusion
Pengfei Zhu, Yang Sun, Bing Cao*, Qinghua Hu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper] [Code] - ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Yichen Bai, Zongbo Han, Bing Cao*, Changqing Zhang*, Qinghua Hu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper] [Code] - Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion
Yiming Sun, Bing Cao*, Pengfei Zhu, Qinghua Hu
The Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI), 2024.
[Paper] [Code] - Bi-directional Adapter for Multimodal Tracking
Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.
[Paper] [Code]
2023
- AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis
Bing Cao, Zhiwei Bi, Qinghua Hu, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen
International Journal of Computer Vision (IJCV), 2023.
[Paper] [Code]
- Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion
Bing Cao, Yiming Sun, Pengfei Zhu, Qinghua Hu
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[Paper] [Code]
- Multi-Task Credible Pseudo-Label Learning for Semi-Supervised Crowd Counting
Pengfei Zhu, Jingqing Li, Bing Cao* , Qinghua Hu
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023.
[Paper] [Code]
- Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis
Bing Cao, Haifang Cao, Jiaxu Liu, Pengfei Zhu, Changqing Zhang, Qinghua Hu
IEEE Transactions on Multimedia (IEEE TMM), 2023.
[Paper] [Code]
- Multi-view Knowledge Ensemble With Frequency Consistency for Cross-Domain Face Translation
Bing Cao, Qinghe Wang, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Wangmeng Zuo, Xinbo Gao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
2022 and Previous
- Learning a Prototype Discriminator With RBF for Multimodal Image Synthesis
Zhiwei Bi, Bing Cao*, Wangmeng Zuo, Qinghua Hu
IEEE Transactions on Image Processing (TIP), 2022.
[Paper] [Code]
- DetFusion: A Detection-driven Infrared and Visible Image Fusion Network
Yiming Sun, Bing Cao*, Pengfei Zhu, Qinghua Hu
Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022.
[Paper] [Code]
- Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
Yiming Sun*, Bing Cao*, Pengfei Zhu, Qinghua Hu
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
[Paper] [Code]
- Curiosity-Driven Class-Incremental Learning via Adaptive Sample Selection
Qinghua Hu, Yucong Gao, Bing Cao*
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
- Face photo-sketch synthesis via full-scale identity supervision
Bing Cao, Nannan Wang, Jie Li, Qinghua Hu, Xinbo Gao
Pattern Recognition (PR), 2022.
- Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis
Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao and Dinggang Shen
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020.
- Multi-margin based decorrelation learning for heterogeneous face recognition
Bing Cao, Nannan Wang, Xinbo Gao, Jie Li and Zhifeng Li
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 2019.
- Data Augmentation-Based Joint Learning for Heterogeneous Face Recognition
Bing Cao, Nannan Wang, Jie Li and Xinbo Gao
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2018.
- Asymmetric joint learning for heterogeneous face recognition
Bing Cao, Nannan Wang, Xinbo Gao and Jie Li
Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18),
2018.
Bing Cao, Zhiwei Bi, Qinghua Hu, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen
International Journal of Computer Vision (IJCV), 2023.
[Paper] [Code]
Bing Cao, Yiming Sun, Pengfei Zhu, Qinghua Hu
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[Paper] [Code]
Pengfei Zhu, Jingqing Li, Bing Cao* , Qinghua Hu
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023.
[Paper] [Code]
Bing Cao, Haifang Cao, Jiaxu Liu, Pengfei Zhu, Changqing Zhang, Qinghua Hu
IEEE Transactions on Multimedia (IEEE TMM), 2023.
[Paper] [Code]
Bing Cao, Qinghe Wang, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Wangmeng Zuo, Xinbo Gao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
- Learning a Prototype Discriminator With RBF for Multimodal Image Synthesis
Zhiwei Bi, Bing Cao*, Wangmeng Zuo, Qinghua Hu
IEEE Transactions on Image Processing (TIP), 2022.
[Paper] [Code] - DetFusion: A Detection-driven Infrared and Visible Image Fusion Network
Yiming Sun, Bing Cao*, Pengfei Zhu, Qinghua Hu
Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022.
[Paper] [Code] - Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
Yiming Sun*, Bing Cao*, Pengfei Zhu, Qinghua Hu
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
[Paper] [Code] - Curiosity-Driven Class-Incremental Learning via Adaptive Sample Selection
Qinghua Hu, Yucong Gao, Bing Cao*
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. - Face photo-sketch synthesis via full-scale identity supervision
Bing Cao, Nannan Wang, Jie Li, Qinghua Hu, Xinbo Gao
Pattern Recognition (PR), 2022. - Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis
Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao and Dinggang Shen
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020.
- Multi-margin based decorrelation learning for heterogeneous face recognition
Bing Cao, Nannan Wang, Xinbo Gao, Jie Li and Zhifeng Li
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 2019. - Data Augmentation-Based Joint Learning for Heterogeneous Face Recognition
Bing Cao, Nannan Wang, Jie Li and Xinbo Gao
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2018.
- Asymmetric joint learning for heterogeneous face recognition
Bing Cao, Nannan Wang, Xinbo Gao and Jie Li
Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018.