Rundong He

According to our database, Rundong He authored at least 23 papers between 2021 and 2024.

Collaborative distances:

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

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., November, 2024

Correction: Learning sample-aware threshold for semi-supervised learning.

Qi WeiLei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin

Mach. Learn., July, 2024

Learning sample-aware threshold for semi-supervised learning.

Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin

Mach. Learn., July, 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., January, 2024

Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch.

Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin

CoRR, 2024

CLIP-driven Outliers Synthesis for few-shot OOD detection.

Hao Sun, Rundong He, Zhongyi Han, Zhicong Lin, Yongshun Gong, Yilong Yin

CoRR, 2024

Discriminability-Driven Channel Selection for Out-of-Distribution Detection.

Yue Yuan, Rundong He, Yicong Dong, Zhongyi Han, Yilong Yin

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

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Neighborhood-based credibility anchor learning for universal domain adaptation.

Wan Su, Zhongyi Han, Rundong He, Benzheng Wei, Xueying He, Yilong Yin

Pattern Recognit., October, 2023

How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation.

Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman H. Khan, Lina Yao, Tongliang Liu, Kun Zhang

CoRR, 2023

LHAct: Rectifying Extremely Low and High Activations for Out-of-Distribution Detection.

Yue Yuan, Rundong He, Zhongyi Han, Yilong Yin

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection.

Rundong He, Rongxue Li, Zhongyi Han, Xihong Yang, Yilong Yin

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation.

Fan Wang, Zhongyi Han, Zhiyan Zhang, Rundong He, Yilong Yin

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

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards safe and robust weakly-supervised anomaly detection under subpopulation shift.

Rundong He, Zhongyi Han, Yilong Yin

Knowl. Based Syst., 2022

Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection.

Rundong He, Rongxue Li, Zhongyi Han, Yilong Yin

CoRR, 2022

RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection.

Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data.

Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin

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

SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation.

Zhongyi Han, Wan Su, Rundong He, Yilong Yin

Proceedings of the Asian Conference on Machine Learning, 2022

Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch.

Rundong He, Zhongyi Han, Yang Yang, Yilong Yin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Normality Learning in Multispace for Video Anomaly Detection.

Yu Zhang, Xiushan Nie, Rundong He, Meng Chen, Yilong Yin

IEEE Trans. Circuits Syst. Video Technol., 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, Yilong Yin

Proceedings of the Information Processing in Medical Imaging, 2021

Robust Anomaly Detection from Partially Observed Anomalies with Augmented Classes.

Rundong He, Zhongyi Han, Yu Zhang, Xueying He, Xiushan Nie, Yilong Yin

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021