Rundong He

31 papers A* 10C 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Class-mismatched semi-supervised learning from a new perspective.
Pattern Recognit.
Rundong He, Zhongyi Han, Yiming Zhu, Xiushan Nie, Qi Wei, Yilong Yin
2026 J jnl
SA-Diff: Semantic-Aware graph outlier generation via diffusion models for graph out-of-Distribution detection.
Knowl. Based Syst.
Yicong Dong, Rundong He, Zhongyi Han, Jieming Shi, Yilong Yin
2025 J jnl
Diverse Teacher-Students for deep safe semi-supervised learning under class mismatch.
Neural Networks
Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin
2025 J jnl
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition.
CoRR
Yicong Dong, Rundong He, Guangyao Chen, Wentao Zhang, Zhongyi Han, Jieming Shi, Yilong Yin
2025 A* conf
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model.
ICLR
Rundong He, Yicong Dong, Lanzhe Guo, Yilong Yin, Tailin Wu
2025 J jnl
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model.
CoRR
Rundong He, Yicong Dong, Lanzhe Guo, Yilong Yin, Tailin Wu
2025 J jnl
TSRE: Channel-Aware Typical Set Refinement for Out-of-Distribution Detection.
CoRR
Weijun Gao, Rundong He, Jinyang Dong, Yongshun Gong
2024 J jnl
CLIP-driven Outliers Synthesis for few-shot OOD detection.
CoRR
Hao Sun, Rundong He, Zhongyi Han, Zhicong Lin, Yongshun Gong, Yilong Yin
2024 J jnl
Correction: Learning sample-aware threshold for semi-supervised learning.
Mach. Learn.
Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
2024 A* conf
Discriminability-Driven Channel Selection for Out-of-Distribution Detection.
CVPR
Yue Yuan, Rundong He, Yicong Dong, Zhongyi Han, Yilong Yin
2024 J jnl
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch.
CoRR
Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, Haoliang Sun, Xiaoshui Huang, Yilong Yin
2024 A* conf
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection.
AAAI
Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong
2024 J jnl
Learning sample-aware threshold for semi-supervised learning.
Mach. Learn.
Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
2024 — conf
Navigating the Unknown: A Novel MGUAN Framework for Medical Image Recognition Across Dynamic Domains.
BIBM
Wan Su, Fan Wang, Rundong He, Zhongyi Han, Yilong Yin
2024 J jnl
SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data.
IEEE Trans. Knowl. Data Eng.
Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin
2024 J jnl
Visual Out-of-Distribution Detection in Open-Set Noisy Environments.
Int. J. Comput. Vis.
Rundong He, Zhongyi Han, Xiushan Nie, Yilong Yin, Xiaojun Chang
2023 A* conf
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation.
AAAI
Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Wan Su, Xiaoming Xi, Yilong Yin
2023 J jnl
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation.
CoRR
Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman H. Khan, Lina Yao, Tongliang Liu, Kun Zhang
2023 A* conf
LHAct: Rectifying Extremely Low and High Activations for Out-of-Distribution Detection.
ACM Multimedia
Yue Yuan, Rundong He, Zhongyi Han, Yilong Yin
2023 A* conf
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation.
CVPR
Fan Wang, Zhongyi Han, Zhiyan Zhang, Rundong He, Yilong Yin
2023 J jnl
Neighborhood-based credibility anchor learning for universal domain adaptation.
Pattern Recognit.
Wan Su, Zhongyi Han, Rundong He, Benzheng Wei, Xueying He, Yilong Yin
2023 A* conf
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection.
ACM Multimedia
Rundong He, Rongxue Li, Zhongyi Han, Xihong Yang, Yilong Yin
2022 A* conf
Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch.
AAAI
Rundong He, Zhongyi Han, Yang Yang, Yilong Yin
2022 A* conf
RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection.
ACM Multimedia
Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin
2022 C conf
SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation.
ACML
Zhongyi Han, Wan Su, Rundong He, Yilong Yin
2022 A* conf
Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data.
CVPR
Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin
2022 J jnl
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection.
CoRR
Rundong He, Rongxue Li, Zhongyi Han, Yilong Yin
2022 J jnl
Towards safe and robust weakly-supervised anomaly detection under subpopulation shift.
Knowl. Based Syst.
Rundong He, Zhongyi Han, Yilong Yin
2021 J jnl
Normality Learning in Multispace for Video Anomaly Detection.
IEEE Trans. Circuits Syst. Video Technol.
Yu Zhang, Xiushan Nie, Rundong He, Meng Chen, Yilong Yin
2021 — conf
Robust Anomaly Detection from Partially Observed Anomalies with Augmented Classes.
CICAI (2)
Rundong He, Zhongyi Han, Yu Zhang, Xueying He, Xiushan Nie, Yilong Yin
2021 — conf
Semi-Supervised Screening of COVID-19 from Positive and Unlabeled Data with Constraint Non-Negative Risk Estimator.
IPMI
Zhongyi Han, Rundong He, Tianyang Li, Benzheng Wei, Jian Wang, Yilong Yin