Zongbo Han - RankMe

43 papers A* 12Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains. AAAI Leyan Xue, Changqing Zhang, Kecheng Xue, Xiaohong Liu, Guangyu Wang, Zongbo Han
2025	J	`jnl`	Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach. CoRR Leyan Xue, Zongbo Han, Guangyu Wang, Qinghua Hu, Mingyue Cheng, Changqing Zhang
2025	J	`jnl`	Learning With Noisy Labels Over Imbalanced Subpopulations. IEEE Trans. Neural Networks Learn. Syst. Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Junzhou Huang, Bingzhe Wu, Jianhua Yao
2025	J	`jnl`	MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains. CoRR Leyan Xue, Zongbo Han, Kecheng Xue, Xiaohong Liu, Guangyu Wang, Changqing Zhang
2025	J	`jnl`	MedSG-Bench: A Benchmark for Medical Image Sequences Grounding. CoRR Jingkun Yue, Siqi Zhang, Zinan Jia, Huihuan Xu, Zongbo Han, Xiaohong Liu, Guangyu Wang
2025	J	`jnl`	Retrieval-Augmented Prompt for OOD Detection. CoRR Ruisong Han, Zongbo Han, Jiahao Zhang, Mingyue Cheng, Changqing Zhang
2025	A*	`conf`	Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data. ICML Mingcai Chen, Baoming Zhang, Zongbo Han, Wenyu Jiang, Yanmeng Wang, Shuai Feng, Yuntao Du, Bingkun Bao
2025	J	`jnl`	Turing Machine Evaluation for Large Language Model. CoRR Haitao Wu, Zongbo Han, Huaxi Huang, Changqing Zhang
2024	J	`jnl`	A principled framework for explainable multimodal disentanglement. Inf. Sci. Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang
2024	J	`jnl`	Autoencoder in Autoencoder Networks. IEEE Trans. Neural Networks Learn. Syst. Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu
2024	J	`jnl`	Confidence-aware multi-modality learning for eye disease screening. CoRR Ke Zou, Tian Lin, Zongbo Han, Meng Wang, Xuedong Yuan, Haoyu Chen, Changqing Zhang, Xiaojing Shen, Huazhu Fu
2024	J	`jnl`	Confidence-aware multi-modality learning for eye disease screening. Medical Image Anal. Ke Zou, Tian Lin, Zongbo Han, Meng Wang, Xuedong Yuan, Haoyu Chen, Changqing Zhang, Xiaojing Shen, Huazhu Fu
2024	J	`jnl`	DOTA: Distributional Test-Time Adaptation of Vision-Language Models. CoRR Zongbo Han, Jialong Yang, Junfan Li, Qinghua Hu, Qianli Xu, Mike Zheng Shou, Changqing Zhang
2024	J	`jnl`	Hallucination of Multimodal Large Language Models: A Survey. CoRR Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou
2024	A*	`conf`	ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CVPR Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang
2024	—	`conf`	Multi-Task Driven Multi-Level Dynamical Fusion for Single-Cell Multi-Omics Cell Type Annotation. BIBM Jiawei Li, Shizhan Chen, Zongbo Han, Wei Li, Jijun Tang, Fei Guo
2024	J	`jnl`	Multimodal Fusion on Low-quality Data: A Comprehensive Survey. CoRR Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang
2024	A*	`conf`	Out-Of-Distribution Detection with Diversification (Provably). NeurIPS Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang
2024	J	`jnl`	Out-Of-Distribution Detection with Diversification (Provably). CoRR Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang
2024	J	`jnl`	Selective Learning: Towards Robust Calibration with Dynamic Regularization. CoRR Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun Zhang, Joey Tianyi Zhou, Qinghua Hu, Huaxiu Yao
2024	J	`jnl`	Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models. CoRR Zongbo Han, Zechen Bai, Haiyang Mei, Qianli Xu, Changqing Zhang, Mike Zheng Shou
2023	A*	`conf`	Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CVPR Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu
2023	J	`jnl`	Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CoRR Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu
2023	J	`jnl`	ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CoRR Yichen Bai, Zongbo Han, Changqing Zhang, Bing Cao, Xiaoheng Jiang, Qinghua Hu
2023	J	`jnl`	Reweighted Mixup for Subpopulation Shift. CoRR Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2023	J	`jnl`	Semantic Equivariant Mixup. CoRR Zongbo Han, Tianchi Xie, Bingzhe Wu, Qinghua Hu, Changqing Zhang
2023	J	`jnl`	Trusted Multi-View Classification With Dynamic Evidential Fusion. IEEE Trans. Pattern Anal. Mach. Intell. Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
2022	J	`jnl`	Deep Partial Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu
2022	J	`jnl`	Learning with Noisy Labels over Imbalanced Subpopulations. CoRR Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Bingzhe Wu, Jianhua Yao
2022	A*	`conf`	Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. CVPR Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao
2022	J	`jnl`	Trusted Multi-View Classification with Dynamic Evidential Fusion. CoRR Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
2022	A*	`conf`	Trustworthy Long-Tailed Classification. CVPR Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang
2022	A*	`conf`	UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. NeurIPS Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2022	J	`jnl`	UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. CoRR Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2022	J	`jnl`	Uncertainty-Aware Multi-View Representation Learning. CoRR Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu
2021	A*	`conf`	Trusted Multi-View Classification. ICLR Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
2021	J	`jnl`	Trusted Multi-View Classification. CoRR Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
2021	J	`jnl`	Trustworthy Long-Tailed Classification. CoRR Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang
2021	A*	`conf`	Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. NeurIPS Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2021	J	`jnl`	Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. CoRR Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2021	A*	`conf`	Uncertainty-Aware Multi-View Representation Learning. AAAI Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu
2020	J	`jnl`	Deep Partial Multi-View Learning. CoRR Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu
2019	A*	`conf`	CPM-Nets: Cross Partial Multi-View Networks. NeurIPS Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu