Using NOC technology to improve photoelectric encoder system for LAMOST spectroscopes. - Zhongyi Han; Jianing Wang; Yizhong Zeng; Zhongwen Hu (ASICON, 2011)

Automated Pancreas Segmentation Using Recurrent Adversarial Learning. - Yang Ning; Zhongyi Han; Li Zhong; Caiming Zhang 001 (BIBM, 2018)

Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework. - Zhongyi Han; Benzheng Wei; Stephanie Leung; Jonathan Chung 002; Shuo Li 001 (MICCAI (4), 2018)

Spine-GAN: Semantic segmentation of multiple spinal structures. - Zhongyi Han; Benzheng Wei; Ashley Mercado; Stephanie Leung; Shuo Li 001 (Medical Image Anal., 2018)

Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning. - Zhongyi Han; Benzheng Wei; Stephanie Leung; Ilanit Ben Nachum; David T. Laidley; Shuo Li 001 (Neuroinformatics, 2018)

Towards Accurate and Robust Domain Adaptation under Noisy Environments. - Zhongyi Han; Xian-Jin Gui; Chaoran Cui; Yilong Yin (IJCAI, 2020)

Recursive narrative alignment for movie narrating. - Zhongyi Han; Hongbo Wu; Benzheng Wei; Yilong Yin; Shuo Li 001 (Sci. China Inf. Sci., 2020)

Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning. - Tianyang Li; Zhongyi Han; Benzheng Wei; Yuanjie Zheng; Yanfei Hong; Jinyu Cong (CoRR, 2020)

Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation. - Zhongyi Han; Benzheng Wei; Yilong Yin; Shuo Li 001 (CoRR, 2020)

DRAN: Deep recurrent adversarial network for automated pancreas segmentation. - Yang Ning; Zhongyi Han; Li Zhong; Caiming Zhang 001 (IET Image Process., 2020)

MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning. - Yanfei Hong; Benzheng Wei; Zhongyi Han; Xiang Li 114; Yuanjie Zheng; Shuo Li 001 (Neurocomputing, 2020)

Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning. - Zhongyi Han; Benzheng Wei; Yanfei Hong; Tianyang Li; Jinyu Cong; Xue Zhu; Haifeng Wei; Wei Zhang (IEEE Trans. Medical Imaging, 2020)

Robust Anomaly Detection from Partially Observed Anomalies with Augmented Classes. - Rundong He; Zhongyi Han; Yu Zhang; Xueying He; Xiushan Nie; Yilong Yin (CICAI (2), 2021)

Semi-Supervised Screening of COVID-19 from Positive and Unlabeled Data with Constraint Non-Negative Risk Estimator. - Zhongyi Han; Rundong He; Tianyang Li; Benzheng Wei; Jian Wang 123; Yilong Yin (IPMI, 2021)

Unifying neural learning and symbolic reasoning for spinal medical report generation. - Zhongyi Han; Benzheng Wei; Xiaoming Xi; Bo Chen 013; Yilong Yin; Shuo Li 001 (Medical Image Anal., 2021)

Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch. - Rundong He; Zhongyi Han; Yang Yang 074; Yilong Yin (AAAI, 2022)

SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation. - Zhongyi Han; Wan Su; Rundong He; Yilong Yin (ACML, 2022)

Transferable Discriminative Learning for Medical Open-Set Domain Adaptation: Application to Pneumonia Classification. - Wan Su; Fan Wang; Zhongyi Han; Yilong Yin (BIBM, 2022)

Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data. - Rundong He; Zhongyi Han; Xiankai Lu; Yilong Yin (CVPR, 2022)

Exploring Domain-Invariant Parameters for Source Free Domain Adaptation. - Fan Wang; Zhongyi Han; Yongshun Gong; Yilong Yin (CVPR, 2022)

RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection. - Rundong He; Zhongyi Han; Xiankai Lu; Yilong Yin (ACM Multimedia, 2022)

Active Source Free Domain Adaptation. - Fan Wang; Zhongyi Han; Zhiyan Zhang; Yilong Yin (CoRR, 2022)

Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. - Rundong He; Rongxue Li; Zhongyi Han; Yilong Yin (CoRR, 2022)

Towards safe and robust weakly-supervised anomaly detection under subpopulation shift. - Rundong He; Zhongyi Han; Yilong Yin (Knowl. Based Syst., 2022)

Learning to rectify for robust learning with noisy labels. - Haoliang Sun; Chenhui Guo; Qi Wei 004; Zhongyi Han; Yilong Yin (Pattern Recognit., 2022)

Learning Transferable Parameters for Unsupervised Domain Adaptation. - Zhongyi Han; Haoliang Sun; Yilong Yin (IEEE Trans. Image Process., 2022)

Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation. - Zhongyi Han; Zhiyan Zhang; Fan Wang; Rundong He; Wan Su; Xiaoming Xi; Yilong Yin (AAAI, 2023)

MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation. - Fan Wang; Zhongyi Han; Zhiyan Zhang; Rundong He; Yilong Yin (CVPR, 2023)

Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. - Rundong He; Rongxue Li; Zhongyi Han; Xihong Yang; Yilong Yin (ACM Multimedia, 2023)

LHAct: Rectifying Extremely Low and High Activations for Out-of-Distribution Detection. - Yue Yuan; Rundong He; Zhongyi Han; Yilong Yin (ACM Multimedia, 2023)

Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping. - Yingbin Bai; Zhongyi Han; Erkun Yang; Jun Yu 001; Bo Han 003; Dadong Wang; Tongliang Liu (NeurIPS, 2023)

How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. - Zhongyi Han; Guanglin Zhou; Rundong He; Jindong Wang 001; Tailin Wu; Yilong Yin; Salman H. Khan 001; Lina Yao 001; Tongliang Liu; Kun Zhang 001 (CoRR, 2023)

Lunar Phase Function Oversampling Correction Method for FY3D/MERSI On-Orbit Calibration. - Peng Gao; Zhongyi Han; Yichao Zheng; Jingjing Ai; Hanlin Xiao; Xiuqing Hu; Ling Wang; Chengli Qi; Gongju Liu; Zhaoming Bai (IEEE Trans. Geosci. Remote. Sens., 2023)

Abductive subconcept learning. - Zhongyi Han; Le-Wen Cai; Wang-Zhou Dai; Yu-Xuan Huang; Benzheng Wei; Wei Wang; Yilong Yin (Sci. China Inf. Sci., 2023)

Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments. - Zhongyi Han; Xian-Jin Gui; Haoliang Sun; Yilong Yin; Shuo Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Neighborhood-based credibility anchor learning for universal domain adaptation. - Wan Su; Zhongyi Han; Rundong He; Benzheng Wei; Xueying He; Yilong Yin (Pattern Recognit., 2023)

Exploring Channel-Aware Typical Features for Out-of-Distribution Detection. - Rundong He; Yue Yuan; Zhongyi Han; Fan Wang; Wan Su; Yilong Yin; Tongliang Liu; Yongshun Gong (AAAI, 2024)

Navigating the Unknown: A Novel MGUAN Framework for Medical Image Recognition Across Dynamic Domains. - Wan Su; Fan Wang; Rundong He; Zhongyi Han; Yilong Yin (BIBM, 2024)

Discriminability-Driven Channel Selection for Out-of-Distribution Detection. - Yue Yuan; Rundong He; Yicong Dong; Zhongyi Han; Yilong Yin (CVPR, 2024)

CLIP-driven Outliers Synthesis for few-shot OOD detection. - Hao Sun; Rundong He; Zhongyi Han; Zhicong Lin; Yongshun Gong; Yilong Yin (CoRR, 2024)

Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning. - Guanglin Zhou; Zhongyi Han; Shiming Chen 002; Biwei Huang; Liming Zhu 001; Salman Khan 001; Xinbo Gao 001; Lina Yao 001 (CoRR, 2024)

Can We Treat Noisy Labels as Accurate? - Yuxiang Zheng; Zhongyi Han; Yilong Yin; Xin Gao 001; Tongliang Liu (CoRR, 2024)

SkinCAP: A Multi-modal Dermatology Dataset Annotated with Rich Medical Captions. - Juexiao Zhou; Liyuan Sun; Yan Xu; Wenbin Liu; Shawn Afvari; Zhongyi Han; Jiaoyan Song; Yongzhi Ji; Xiaonan He; Xin Gao 001 (CoRR, 2024)

Improving Representation of High-frequency Components for Medical Foundation Models. - Yuetan Chu; Yilan Zhang; Zhongyi Han; Changchun Yang; Longxi Zhou; Gongning Luo; Xin Gao 001 (CoRR, 2024)

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation. - Fan Wang; Zhongyi Han; Xingbo Liu; Xinbo Gao 001; Yilong Yin (CoRR, 2024)

Generalized Universal Domain Adaptation. - Wan Su; Zhongyi Han; Xingbo Liu; Yilong Yin (Knowl. Based Syst., 2024)

BIAS: Bridging Inactive and Active Samples for active source free domain adaptation. - Fan Wang; Zhongyi Han; Yilong Yin (Knowl. Based Syst., 2024)

SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data. - Rundong He; Zhongyi Han; Xiankai Lu; Yilong Yin (IEEE Trans. Knowl. Data Eng., 2024)

Visual Out-of-Distribution Detection in Open-Set Noisy Environments. - Rundong He; Zhongyi Han; Xiushan Nie; Yilong Yin; Xiaojun Chang (Int. J. Comput. Vis., 2024)

CTPT: Continual Test-time Prompt Tuning for vision-language models. - Fan Wang; Zhongyi Han; Xingbo Liu; Yilong Yin; Xin Gao 001 (Pattern Recognit., 2025)

Sampling Correction Approach With Interpolation Sliding Window for FY-3D/MERSI-II On-Orbit Calibration. - Hanlin Xiao; Jingjing Ai; Jiaheng Yang; Kang Chen; Xiaolin Wang; Peng Gao; Zhongyi Han; Xiaochen Hu; Chengli Qi; Ling Wang; Xiuqing Hu; Hanbo Zhen; et al. (IEEE Trans. Geosci. Remote. Sens., 2025)

HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization. - Guanglin Zhou; Zhongyi Han; Shiming Chen 002; Biwei Huang; Liming Zhu 001; Tongliang Liu; Lina Yao 001; Kun Zhang 001 (IEEE Trans. Multim., 2025)

G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition. - Yicong Dong; Rundong He; Guangyao Chen; Wentao Zhang; Zhongyi Han; Jieming Shi 001; Yilong Yin (CoRR, 2025)

Alignclip: navigating the misalignments for robust vision-language generalization. - Zhongyi Han; Gongxu Luo; Hao Sun; Yaqian Li; Bo Han 003; Mingming Gong; Kun Zhang 001; Tongliang Liu (Mach. Learn., 2025)

Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow. - Juexiao Zhou; Zhongyi Han; Mankun Xin; Xingwei He 007; Guotao Wang; Jiaoyan Song; Gongning Luo; Wenjia He; Xintong Li; Yuetan Chu; Juanwen Chen; Bo Wang 044; et al. (CoRR, 2025)