Deng-Bao Wang

23 papers A* 10Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sci-VLA: Agentic VLA Inference Plugin for Long-Horizon Tasks in Scientific Experiments.
CoRR
Yiwen Pang, Bowen Zhou, Changjin Li, Xuanhao Wang, Shengxiang Xu, Deng-Bao Wang, Min-Ling Zhang, Shimin Di
2026 J jnl
Semi-supervised partial label learning via label confidence recovery.
Pattern Recognit.
Xiang-Ru Yu, Deng-Bao Wang, Min-Ling Zhang
2025 J jnl
MotionDuet: Dual-Conditioned 3D Human Motion Generation with Video-Regularized Text Learning.
CoRR
Yiyang Zhang, Tengjiao Sun, Pengcheng Fang, Deng-Bao Wang, Xiaohao Cai, Min-Ling Zhang, Hansung Kim
2025 J jnl
Simplified Graph Contrastive Learning Model Without Augmentation.
IEEE Trans. Knowl. Data Eng.
Yue-Na Lin, Gengyu Lyu, Hai-Chun Cai, Deng-Bao Wang, Haobo Wang, Zhen Yang
2025 A* conf
Wrapped Partial Label Dimensionality Reduction via Dependence Maximization.
IJCAI
Xiang-Ru Yu, Deng-Bao Wang, Min-Ling Zhang
2024 A* conf
Calibration Bottleneck: Over-compressed Representations are Less Calibratable.
ICML
Deng-Bao Wang, Min-Ling Zhang
2024 J jnl
Dimensionality Reduction for Partial Label Learning: A Unified and Adaptive Approach.
IEEE Trans. Knowl. Data Eng.
Xiang-Ru Yu, Deng-Bao Wang, Min-Ling Zhang
2024 A* conf
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning.
AAAI
Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang
2024 J jnl
Learning From Noisy Labels via Dynamic Loss Thresholding.
IEEE Trans. Knowl. Data Eng.
Hao Yang, Youzhi Jin, Ziyin Li, Deng-Bao Wang, Xin Geng, Min-Ling Zhang
2024 J jnl
Multiple-instance Learning from Triplet Comparison Bags.
ACM Trans. Knowl. Discov. Data
Senlin Shu, Deng-Bao Wang, Suqin Yuan, Hongxin Wei, Jiuchuan Jiang, Lei Feng, Min-Ling Zhang
2024 J jnl
Partial label learning with emerging new labels.
Mach. Learn.
Xiang-Ru Yu, Deng-Bao Wang, Min-Ling Zhang
2024 J jnl
Student Loss: Towards the Probability Assumption in Inaccurate Supervision.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuo Zhang, Jianqing Li, Hamido Fujita, Yu-Wen Li, Deng-Bao Wang, Tingting Zhu, Min-Ling Zhang, Chengyu Liu
2023 A* conf
On the Pitfall of Mixup for Uncertainty Calibration.
CVPR
Deng-Bao Wang, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Min-Ling Zhang
2023 A* conf
Partial-Label Regression.
AAAI
Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An
2023 J jnl
Partial-Label Regression.
CoRR
Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An
2022 J jnl
Adaptive Graph Guided Disambiguation for Partial Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Deng-Bao Wang, Min-Ling Zhang, Li Li
2022 — conf
Partial Label Learning with Gradually Induced Error-Correction Output Codes.
ICONIP (1)
Yu-Xuan Shi, Deng-Bao Wang, Min-Ling Zhang
2022 A* conf
Revisiting Consistency Regularization for Deep Partial Label Learning.
ICML
Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang
2021 A* conf
Learning from Complementary Labels via Partial-Output Consistency Regularization.
IJCAI
Deng-Bao Wang, Lei Feng, Min-Ling Zhang
2021 J jnl
Learning from Noisy Labels via Dynamic Loss Thresholding.
CoRR
Hao Yang, Youzhi Jin, Ziyin Li, Deng-Bao Wang, Lei Miao, Xin Geng, Min-Ling Zhang
2021 A* conf
Learning from Noisy Labels with Complementary Loss Functions.
AAAI
Deng-Bao Wang, Yong Wen, Lujia Pan, Min-Ling Zhang
2021 A* conf
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence.
NeurIPS
Deng-Bao Wang, Lei Feng, Min-Ling Zhang
2019 A* conf
Adaptive Graph Guided Disambiguation for Partial Label Learning.
KDD
Deng-Bao Wang, Li Li, Min-Ling Zhang