Dapeng Hu

According to our database, Dapeng Hu authored at least 19 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation.

Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo

CoRR, 2023

Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation.

Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer.

Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng

IEEE Trans. Pattern Anal. Mach. Intell., 2022

How Well Does Self-Supervised Pre-Training Perform with Streaming Data?

Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng

Proceedings of the Tenth International Conference on Learning Representations, 2022

DINE: Domain Adaptation from Single and Multiple Black-box Predictors.

Jian Liang, Dapeng Hu, Jiashi Feng, Ran He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner.

Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen

IEEE Trans. Image Process., 2021

UMAD: Universal Model Adaptation under Domain and Category Shift.

Jian Liang, Dapeng Hu, Jiashi Feng, Ran He

CoRR, 2021

How Well Self-Supervised Pre-Training Performs with Streaming Data?

Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng

CoRR, 2021

Distill and Fine-tune: Effective Adaptation from a Black-box Source Model.

Jian Liang, Dapeng Hu, Ran He, Jiashi Feng

CoRR, 2021

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning.

Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data.

Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Domain Adaptation With Auxiliary Target Domain-Oriented Classifier.

Jian Liang, Dapeng Hu, Jiashi Feng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Combating Domain Shift with Self-Taught Labeling.

Jian Liang, Dapeng Hu, Jiashi Feng

CoRR, 2020

PANDA: Prototypical Unsupervised Domain Adaptation.

Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng

CoRR, 2020

Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation.

Jian Liang, Dapeng Hu, Jiashi Feng

Proceedings of the 37th International Conference on Machine Learning, 2020

An improved reinforcement learning approach to solve flow job scheduling problems.

Dapeng Hu, Xuesong Jiang, Jian Wang

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation.

Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

State Representation Learning for Minimax Deep Deterministic Policy Gradient.

Dapeng Hu, Xuesong Jiang, Xiumei Wei, Jian Wang

Proceedings of the Knowledge Science, Engineering and Management, 2019

2018

Influence of Non-equilibrium Condensation on key Parameter of Gas Wave Refrigerator.

Peiqi Liu, Kehan Wu, Siyuan Xu, Jintao Wu, Fengxia Liu, Dapeng Hu

Proceedings of the 7th International Conference on Informatics, 2018