Zhongyi Han

Zhongyi Han

Postdoctoral Research Fellow in KAUST

Representative Publications

Note: * denotes the corresponding author, # denotes the co-first author

Journal

  1. Zhongyi Han, Xian-Jin Gui, Haoliang Sun, Yilong Yin, Shuo Li, “Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
  2. Zhongyi Han, Haoliang Sun, Yilong Yin, “Learning Transferable Parameters for Unsupervised Domain Adaptation.” IEEE Transactions on Image Processing, 2022
  3. Zhongyi Han, Benzheng Wei, Yanfei Hong, Tianyang Li, Jinyu Cong, Xue Zhu, Haifeng Wei, Wei Zhang, “Accurate Screening of COVID-19 using Attention Based Deep 3D Multiple Instance Learning.” IEEE Transactions on Medical Imaging, 2020
  4. Zhongyi Han, Benzheng Wei, Xiaoming Xi, Bo Chen, Yilong Yin, Shuo Li, “Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation.” Medical Image Analysis, 2020
  5. Zhongyi Han, Benzheng Wei, Ashley Mercado, Stephanie Leung, Shuo Li, “Spine-GAN: Semantic Segmentation of Multiple Spinal Structures.” Medical Image Analysis, 2018
  6. Zhongyi Han, Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Benzheng Wei, Wei Wang, Yilong Yin, “Abductive Subconcept Learning.” Science China Information Sciences, 2022
  7. Zhongyi Han, Hongbo Wu, Benzheng Wei, Yilong Yin, Shuo Li, “Recursive Narrative Alignment for Movie Narrating.” Science China Information Sciences, 2020
  8. Zhongyi Han, Benzheng Wei, Stephanie Leung, Ilanit Ben Nachum, David Laidley, Shuo Li, “Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning.” Neuroinformatics, 2018
  9. Zhongyi Han, Benzheng Wei, Yuanjie Zheng, Yilong Yin, Kejian Li, Shuo Li, “Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model.” Scientific Reports, 2017
  10. Rundong He, Zhongyi Han*, Xiankai Lu, Yilong Yin, “SAFER-STUDENT for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data.” IEEE Transactions on Knowledge and Data Engineering, 2023
  11. Wan Su, Zhongyi Han*, Rundong He, Benzheng Wei, Xueying He, Yilong Yin, “Neighborhood-based Credibility Anchor Learning for Universal Domain Adaptation.” Pattern Recognition, 2023
  12. Rundong He, Zhongyi Han*, Yilong Yin, “Towards Safe and Robust Weakly-Supervised Anomaly Detection under Subpopulation Shift.” Knowledge-Based Systems, 2022
  13. Fan Wang, Zhongyi Han*, Yilong Yin, “Source Free Robust Domain Adaptation Based on Pseudo Label Uncertainty Estimation.” Journal of Software, 2022.

Conference

  1. Yingbin Bai, Zhongyi Han, Erkun Yang, Jun Yu, Bo Han, Dadong Wang, Tongliang Liu, “Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping”, NeurIPS, 2023
  2. Fan Wang, Zhongyi Han*, Zhiyan Zhang, Rundong He, Yilong Yin, “MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation.” CVPR, 2023
  3. Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Xiaoming Xi, Yilong Yin, “Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation.” AAAI, 2023
  4. Rundong He, Zhongyi Han*, Xiankai Lu, Yilong Yin, “RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection.” ACM MM, 2022
  5. Fan Wang#, Zhongyi Han#, Yongshun Gong, Yilong Yin, “Exploring Domain-Invariant Parameters for Source Free Domain Adaptation.” CVPR, 2022
  6. Rundong He#, Zhongyi Han#, Xiankai Lu, Yilong Yin, “Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data.” CVPR, 2022
  7. Rundong He, Zhongyi Han*, Yang Yang, Yilong Yin, “Not All Parameters Should be Treated Equally: Deep Safe Semi-Supervised Learning under Class Distribution Mismatch.” AAAI, 2022
  8. Zhongyi Han, Xian-Jin Gui, Chaoran Cui, Yilong Yin, “Towards Accurate and Robust Domain Adaptation under Noisy Environments.” IJCAI, 2020
  9. Zhongyi Han, Wan Su, Rundong He, Yilong Yin, “Universal Domain Adaptation by Threshold-Free Uncertainty Ensemble Learning.” ACML, 2022
  10. Zhongyi Han, Rundong He, Tianyang Li, Benzheng Wei, Jian Wang, Yilong Yin, “Semi-Supervised Screening of COVID-19 from Positive and Unlabeled Data with Constraint Non-Negative Risk Estimator.” IPMI, 2021
  11. Zhongyi Han, Benzheng Wei, Stephanie Leung, Jonathan Chung, Shuo Li, “Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework.” MICCAI, 2018