Dong-Dong Wu

11 papers A* 4Journal 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models.
CoRR
Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Xiaobo Xia, Ming-Kun Xie, Dong-Dong Wu, Biao Liu, Yuheng Jia, Xin Geng, Masashi Sugiyama, Tat-Seng Chua
2025 J jnl
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1.
CoRR
Zhaoyi Li, Xiaohan Zhao, Dong-Dong Wu, Jiacheng Cui, Zhiqiang Shen
2025 J jnl
Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning Algorithms.
CoRR
Wei Wang, Dong-Dong Wu, Ming Li, Jingxiong Zhang, Gang Niu, Masashi Sugiyama
2025 J jnl
Computer-Aided Application in Medicine and Biomedicine.
Int. J. Comput. Intell. Syst.
Qi-Ming Liao, Wahab Hussain, Zhong-xia Liao, Sarfraz Hussain, Zhi-Liang Jiang, Yong-Hao Zhu, Huang-Yin Luo, Xin-Ying Ji, Hong-Wei Wen, Dong-Dong Wu
2025 J jnl
Learning Robust Diffusion Models from Imprecise Supervision.
CoRR
Dong-Dong Wu, Jiacheng Cui, Wei Wang, Zhiqiang Shen, Masashi Sugiyama
2025 A* conf
Realistic Evaluation of Deep Partial-Label Learning Algorithms.
ICLR
Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
2025 J jnl
Realistic Evaluation of Deep Partial-Label Learning Algorithms.
CoRR
Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
2024 A* conf
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning.
AAAI
Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang
2024 A* conf
Efficient Model Stealing Defense with Noise Transition Matrix.
CVPR
Dong-Dong Wu, Chilin Fu, Weichang Wu, Wenwen Xia, Xiaolu Zhang, Jun Zhou, Min-Ling Zhang
2023 J jnl
Robust Representation Learning for Unreliable Partial Label Learning.
CoRR
Yu Shi, Dong-Dong Wu, Xin Geng, Min-Ling Zhang
2022 A* conf
Revisiting Consistency Regularization for Deep Partial Label Learning.
ICML
Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang