He, Rundong

11 publications

ICLR 2025 Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model Rundong He, Yicong Dong, Lan-Zhe Guo, Yilong Yin, Tailin Wu

MLJ 2024 Correction: Learning Sample-Aware Threshold for Semi-Supervised Learning Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin

CVPR 2024 Discriminability-Driven Channel Selection for Out-of-Distribution Detection Yue Yuan, Rundong He, Yicong Dong, Zhongyi Han, Yilong Yin

AAAI 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

ICLRW 2024 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 Khan, Lina Yao, Tongliang Liu, Kun Zhang

MLJ 2024 Learning Sample-Aware Threshold for Semi-Supervised Learning Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin

AAAI 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

CVPR 2023 MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation Fan Wang, Zhongyi Han, Zhiyan Zhang, Rundong He, Yilong Yin

AAAI 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

ACML 2022 SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation Zhongyi Han, Wan Su, Rundong He, Yilong Yin

CVPR 2022 Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin