Dapeng Hu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 24

Top Topics

Concept Drifting

Policy Gradient

Domain Adaptation

Top Venues

Publications

Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation. CoRR (2023)
Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation. NeurIPS (2023)
Jian Liang, Dapeng Hu, Jiashi Feng, Ran He
DINE: Domain Adaptation from Single and Multiple Black-box Predictors. CVPR (2022)
Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng
Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR (2022)
Jian Liang, Dapeng Hu, Jiashi Feng, Ran He
UMAD: Universal Model Adaptation under Domain and Category Shift. CoRR (2021)
Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. CoRR (2021)
Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. CoRR (2021)
Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen
Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. IEEE Trans. Image Process. 30 (2021)
Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. NeurIPS (2021)
Jian Liang, Dapeng Hu, Ran He, Jiashi Feng
Distill and Fine-tune: Effective Adaptation from a Black-box Source Model. CoRR (2021)
Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng
How Well Self-Supervised Pre-Training Performs with Streaming Data? CoRR (2021)
Jian Liang, Dapeng Hu, Jiashi Feng
Domain Adaptation With Auxiliary Target Domain-Oriented Classifier. CVPR (2021)
Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. NeurIPS (2021)
Jian Liang, Dapeng Hu, Jiashi Feng
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. ICML (2020)
Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng
PANDA: Prototypical Unsupervised Domain Adaptation. CoRR (2020)
Jian Liang, Dapeng Hu, Jiashi Feng
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. CoRR (2020)
Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer. CoRR (2020)
Jian Liang, Dapeng Hu, Jiashi Feng
Combating Domain Shift with Self-Taught Labeling. CoRR (2020)
Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. CoRR (2020)
Dapeng Hu, Xuesong Jiang, Jian Wang
An improved reinforcement learning approach to solve flow job scheduling problems. HPCC/DSS/SmartCity (2020)
Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng
A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. ECCV (11) (2020)
Dapeng Hu, Xuesong Jiang, Xiumei Wei, Jian Wang
State Representation Learning for Minimax Deep Deterministic Policy Gradient. KSEM (1) (2019)
Peiqi Liu, Kehan Wu, Siyuan Xu, Jintao Wu, Fengxia Liu, Dapeng Hu
Influence of Non-equilibrium Condensation on key Parameter of Gas Wave Refrigerator. IEEA (2018)