Zongbo Han

According to our database, Zongbo Han authored at least 29 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Retrieval-Augmented Prompt for OOD Detection.

Ruisong Han, Zongbo Han, Jiahao Zhang, Mingyue Cheng, Changqing Zhang

CoRR, August, 2025

Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach.

Leyan Xue, Zongbo Han, Guangyu Wang, Qinghua Hu, Mingyue Cheng, Changqing Zhang

CoRR, July, 2025

MedSG-Bench: A Benchmark for Medical Image Sequences Grounding.

Jingkun Yue, Siqi Zhang, Zinan Jia, Huihuan Xu, Zongbo Han, Xiaohong Liu, Guangyu Wang

CoRR, May, 2025

Learning With Noisy Labels Over Imbalanced Subpopulations.

Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Junzhou Huang, Bingzhe Wu, Jianhua Yao

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Turing Machine Evaluation for Large Language Model.

Haitao Wu, Zongbo Han, Huaxi Huang, Changqing Zhang

CoRR, April, 2025

2024

Autoencoder in Autoencoder Networks.

Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Confidence-aware multi-modality learning for eye disease screening.

Ke Zou, Tian Lin, Zongbo Han, Meng Wang, Xuedong Yuan, Haoyu Chen, Changqing Zhang, Xiaojing Shen, Huazhu Fu

Medical Image Anal., 2024

A principled framework for explainable multimodal disentanglement.

Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang

Inf. Sci., 2024

DOTA: Distributional Test-Time Adaptation of Vision-Language Models.

Zongbo Han, Jialong Yang, Junfan Li, Qinghua Hu, Qianli Xu, Mike Zheng Shou, Changqing Zhang

CoRR, 2024

Multimodal Fusion on Low-quality Data: A Comprehensive Survey.

Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang

CoRR, 2024

Hallucination of Multimodal Large Language Models: A Survey.

Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou

CoRR, 2024

Selective Learning: Towards Robust Calibration with Dynamic Regularization.

Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun Zhang, Joey Tianyi Zhou, Qinghua Hu, Huaxiu Yao

CoRR, 2024

Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models.

Zongbo Han, Zechen Bai, Haiyang Mei, Qianli Xu, Changqing Zhang, Mike Zheng Shou

CoRR, 2024

Out-Of-Distribution Detection with Diversification (Provably).

Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection.

Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Task Driven Multi-Level Dynamical Fusion for Single-Cell Multi-Omics Cell Type Annotation.

Jiawei Li, Shizhan Chen, Zongbo Han, Wei Li, Jijun Tang, Fei Guo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Trusted Multi-View Classification With Dynamic Evidential Fusion.

Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Semantic Equivariant Mixup.

Zongbo Han, Tianchi Xie, Bingzhe Wu, Qinghua Hu, Changqing Zhang

CoRR, 2023

Reweighted Mixup for Subpopulation Shift.

Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao

CoRR, 2023

Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification.

Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Partial Multi-View Learning.

Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning with Noisy Labels over Imbalanced Subpopulations.

Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Bingzhe Wu, Jianhua Yao

CoRR, 2022

UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup.

Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Trustworthy Long-Tailed Classification.

Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification.

Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.

Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Trusted Multi-View Classification.

Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou

Proceedings of the 9th International Conference on Learning Representations, 2021

Uncertainty-Aware Multi-View Representation Learning.

Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

CPM-Nets: Cross Partial Multi-View Networks.

Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019