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2020 – today
- 2024
[j6]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): 4951 (2024)- [j5]Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin:
Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113(8): 5423-5445 (2024) - [j4]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): 318-334 (2024) - [c12]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: 12402-12410 - [c11]Yue Yuan, Rundong He, Yicong Dong, Zhongyi Han, Yilong Yin:
Discriminability-Driven Channel Selection for Out-of-Distribution Detection. CVPR 2024: 26171-26180 - [i4]Hao Sun, Rundong He, Zhongyi Han, Zhicong Lin, Yongshun Gong, Yilong Yin:
CLIP-driven Outliers Synthesis for few-shot OOD detection. CoRR abs/2404.00323 (2024) - [i3]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 abs/2405.16093 (2024) - 2023
- [j3]Wan Su, Zhongyi Han, Rundong He, Benzheng Wei, Xueying He, Yilong Yin:
Neighborhood-based credibility anchor learning for universal domain adaptation. Pattern Recognit. 142: 109686 (2023) - [c10]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: 7811-7820 - [c9]Fan Wang, Zhongyi Han, Zhiyan Zhang, Rundong He, Yilong Yin:
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation. CVPR 2023: 20008-20018 - [c8]Rundong He, Rongxue Li, Zhongyi Han, Xihong Yang, Yilong Yin:
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. ACM Multimedia 2023: 4858-4866 - [c7]Yue Yuan, Rundong He, Zhongyi Han, Yilong Yin:
LHAct: Rectifying Extremely Low and High Activations for Out-of-Distribution Detection. ACM Multimedia 2023: 8105-8113 - [i2]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 abs/2312.07424 (2023) - 2022
- [j2]Rundong He, Zhongyi Han, Yilong Yin:
Towards safe and robust weakly-supervised anomaly detection under subpopulation shift. Knowl. Based Syst. 250: 109088 (2022) - [c6]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: 6874-6883 - [c5]Zhongyi Han, Wan Su, Rundong He, Yilong Yin:
SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation. ACML 2022: 436-451 - [c4]Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin:
Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data. CVPR 2022: 14565-14574 - [c3]Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin:
RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection. ACM Multimedia 2022: 4242-4251 - [i1]Rundong He, Rongxue Li, Zhongyi Han, Yilong Yin:
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. CoRR abs/2209.07837 (2022) - 2021
- [j1]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): 3694-3706 (2021) - [c2]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: 347-358 - [c1]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: 611-623
Coauthor Index
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