CPM-Nets: Cross Partial Multi-View Networks. - Changqing Zhang; Zongbo Han; Yajie Cui; Huazhu Fu; Joey Tianyi Zhou; Qinghua Hu (NeurIPS, 2019)

Uncertainty-Aware Multi-View Representation Learning. - Yu Geng; Zongbo Han; Changqing Zhang; Qinghua Hu (AAAI, 2021)

Trusted Multi-View Classification. - Zongbo Han; Changqing Zhang; Huazhu Fu; Joey Tianyi Zhou (ICLR, 2021)

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. - Huan Ma; Zongbo Han; Changqing Zhang; Huazhu Fu; Joey Tianyi Zhou; Qinghua Hu (NeurIPS, 2021)

Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. - Zongbo Han; Fan Yang 081; Junzhou Huang; Changqing Zhang; Jianhua Yao 001 (CVPR, 2022)

Trustworthy Long-Tailed Classification. - Bolian Li; Zongbo Han; Haining Li; Huazhu Fu; Changqing Zhang (CVPR, 2022)

UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. - Zongbo Han; Zhipeng Liang; Fan Yang 081; Liu Liu 014; Lanqing Li; Yatao Bian; Peilin Zhao; Bingzhe Wu; Changqing Zhang; Jianhua Yao 001 (NeurIPS, 2022)

Learning with Noisy Labels over Imbalanced Subpopulations. - Mingcai Chen; Yu Zhao 009; Bing He; Zongbo Han; Bingzhe Wu; Jianhua Yao 001 (CoRR, 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)

Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. - Mengyao Xie; Zongbo Han; Changqing Zhang; Yichen Bai; Qinghua Hu (CVPR, 2023)

Reweighted Mixup for Subpopulation Shift. - Zongbo Han; Zhipeng Liang; Fan Yang 081; Liu Liu 014; Lanqing Li; Yatao Bian; Peilin Zhao; Qinghua Hu; Bingzhe Wu; Changqing Zhang; Jianhua Yao 001 (CoRR, 2023)

Semantic Equivariant Mixup. - Zongbo Han; Tianchi Xie; Bingzhe Wu; Qinghua Hu; Changqing Zhang (CoRR, 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)

Multi-Task Driven Multi-Level Dynamical Fusion for Single-Cell Multi-Omics Cell Type Annotation. - Jiawei Li 018; Shizhan Chen; Zongbo Han; Wei Li; Jijun Tang; Fei Guo 001 (BIBM, 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)

Out-Of-Distribution Detection with Diversification (Provably). - Haiyun Yao; Zongbo Han; Huazhu Fu; Xi Peng 001; Qinghua Hu; Changqing Zhang (NeurIPS, 2024)

Skip : 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)

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)

Hallucination of Multimodal Large Language Models: A Survey. - Zechen Bai; Pichao Wang; Tianjun Xiao; Tong He 002; Zongbo Han; Zheng Zhang 001; Mike Zheng Shou (CoRR, 2024)

Multimodal Fusion on Low-quality Data: A Comprehensive Survey. - Qingyang Zhang; Yake Wei; Zongbo Han; Huazhu Fu; Xi Peng 001; Cheng Deng; Qinghua Hu; Cai Xu; Jie Wen; Di Hu 001; Changqing Zhang (CoRR, 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)

A principled framework for explainable multimodal disentanglement. - Zongbo Han; Tao Luo 014; Huazhu Fu; Qinghua Hu; Joey Tianyi Zhou; Changqing Zhang (Inf. Sci., 2024)

Confidence-aware multi-modality learning for eye disease screening. - Ke Zou; Tian Lin; Zongbo Han; Meng Wang 001; Xuedong Yuan; Haoyu Chen 002; Changqing Zhang; Xiaojing Shen; Huazhu Fu (Medical Image Anal., 2024)

Autoencoder in Autoencoder Networks. - Changqing Zhang; Yu Geng; Zongbo Han; Yeqing Liu; Huazhu Fu; Qinghua Hu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Turing Machine Evaluation for Large Language Model. - Haitao Wu; Zongbo Han; Huaxi Huang; Changqing Zhang (CoRR, 2025)

Learning With Noisy Labels Over Imbalanced Subpopulations. - Mingcai Chen; Yu Zhao 009; Bing He; Zongbo Han; Junzhou Huang; Bingzhe Wu; Jianhua Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

MedSG-Bench: A Benchmark for Medical Image Sequences Grounding. - Jingkun Yue; Siqi Zhang; Zinan Jia; Huihuan Xu; Zongbo Han; Xiaohong Liu 001; Guangyu Wang (CoRR, 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, 2025)

Retrieval-Augmented Prompt for OOD Detection. - Ruisong Han; Zongbo Han; Jiahao Zhang; Mingyue Cheng; Changqing Zhang (CoRR, 2025)