Wu, Dong-Dong

6 publications

ICLR 2026 Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning Algorithms Wei Wang, Dong-Dong Wu, Ming Li, Jingxiong Zhang, Gang Niu, Masashi Sugiyama

NeurIPS 2025 A Frustratingly Simple yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-Box Models of GPT-4.5/4o/o1 Zhaoyi Li, Xiaohan Zhao, Dong-Dong Wu, Jiacheng Cui, Zhiqiang Shen

ICLR 2025 Realistic Evaluation of Deep Partial-Label Learning Algorithms Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama

AAAI 2024 Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang

CVPR 2024 Efficient Model Stealing Defense with Noise Transition Matrix Dong-Dong Wu, Chilin Fu, Weichang Wu, Wenwen Xia, Xiaolu Zhang, Jun Zhou, Min-Ling Zhang

ICML 2022 Revisiting Consistency Regularization for Deep Partial Label Learning Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang