Rundong He

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 21

Top Topics

Graph Transduction

Supervised Learning

Transductive Svm

Top Venues

Publications

Qi WeiLei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
Correction: Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113 (7) (2024)
Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection. AAAI (2024)
Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch. CoRR (2024)
Hao Sun, Rundong He, Zhongyi Han, Zhicong Lin, Yongshun Gong, Yilong Yin
CLIP-driven Outliers Synthesis for few-shot OOD detection. CoRR (2024)
Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin
SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113 (8) (2024)
Fan Wang, Zhongyi Han, Zhiyan Zhang, Rundong He, Yilong Yin
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation. CVPR (2023)
Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Wan Su, Xiaoming Xi, Yilong Yin
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation. AAAI (2023)
Rundong He, Rongxue Li, Zhongyi Han, Xihong Yang, Yilong Yin
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. ACM Multimedia (2023)
Wan Su, Zhongyi Han, Rundong He, Benzheng Wei, Xueying He, Yilong Yin
Neighborhood-based credibility anchor learning for universal domain adaptation. Pattern Recognit. 142 (2023)
Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman H. Khan, Lina Yao, Tongliang Liu, Kun Zhang
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. CoRR (2023)
Yue Yuan, Rundong He, Zhongyi Han, Yilong Yin
LHAct: Rectifying Extremely Low and High Activations for Out-of-Distribution Detection. ACM Multimedia (2023)
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)
Zhongyi Han, Wan Su, Rundong He, Yilong Yin
SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation. ACML (2022)
Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin
RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection. ACM Multimedia (2022)
Rundong He, Rongxue Li, Zhongyi Han, Yilong Yin
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. CoRR (2022)
Rundong He, Zhongyi Han, Yilong Yin
Towards safe and robust weakly-supervised anomaly detection under subpopulation shift. Knowl. Based Syst. 250 (2022)
Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin
Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data. CVPR (2022)
Rundong He, Zhongyi Han, Yu Zhang, Xueying He, Xiushan Nie, Yilong Yin
Robust Anomaly Detection from Partially Observed Anomalies with Augmented Classes. CICAI (2) (2021)
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)
Yu Zhang, Xiushan Nie, Rundong He, Meng Chen, Yilong Yin
Normality Learning in Multispace for Video Anomaly Detection. IEEE Trans. Circuits Syst. Video Technol. 31 (9) (2021)