Influence of Non-equilibrium Condensation on key Parameter of Gas Wave Refrigerator. - Peiqi Liu; Kehan Wu; Siyuan Xu; Jintao Wu; Fengxia Liu; Dapeng Hu (IEEA, 2018)

State Representation Learning for Minimax Deep Deterministic Policy Gradient. - Dapeng Hu; Xuesong Jiang; Xiumei Wei; Jian Wang (KSEM (1), 2019)

A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. - Jian Liang 001; Yunbo Wang; Dapeng Hu; Ran He 001; Jiashi Feng (ECCV (11), 2020)

An improved reinforcement learning approach to solve flow job scheduling problems. - Dapeng Hu; Xuesong Jiang; Jian Wang (HPCC/DSS/SmartCity, 2020)

Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. - Jian Liang 001; Dapeng Hu; Jiashi Feng (ICML, 2020)

PANDA: Prototypical Unsupervised Domain Adaptation. - Dapeng Hu; Jian Liang 001; Qibin Hou; Hanshu Yan; Yunpeng Chen; Shuicheng Yan; Jiashi Feng (CoRR, 2020)

Combating Domain Shift with Self-Taught Labeling. - Jian Liang 001; Dapeng Hu; Jiashi Feng (CoRR, 2020)

Domain Adaptation With Auxiliary Target Domain-Oriented Classifier. - Jian Liang 001; Dapeng Hu; Jiashi Feng (CVPR, 2021)

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. - Mi Luo; Fei Chen 013; Dapeng Hu; Yifan Zhang 004; Jian Liang 001; Jiashi Feng (NeurIPS, 2021)

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. - Yifan Zhang 004; Bryan Hooi; Dapeng Hu; Jian Liang 001; Jiashi Feng (NeurIPS, 2021)

Distill and Fine-tune: Effective Adaptation from a Black-box Source Model. - Jian Liang 001; Dapeng Hu; Ran He 001; Jiashi Feng (CoRR, 2021)

How Well Self-Supervised Pre-Training Performs with Streaming Data? - Dapeng Hu; Qizhengqiu Lu; Lanqing Hong; Hailin Hu 002; Yifan Zhang 004; Zhenguo Li; Alfred Shen; Jiashi Feng (CoRR, 2021)

UMAD: Universal Model Adaptation under Domain and Category Shift. - Jian Liang 001; Dapeng Hu; Jiashi Feng; Ran He 001 (CoRR, 2021)

Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. - Dapeng Hu; Jian Liang 001; Qibin Hou; Hanshu Yan; Yunpeng Chen (IEEE Trans. Image Process., 2021)

DINE: Domain Adaptation from Single and Multiple Black-box Predictors. - Jian Liang 001; Dapeng Hu; Jiashi Feng; Ran He 001 (CVPR, 2022)

How Well Does Self-Supervised Pre-Training Perform with Streaming Data? - Dapeng Hu; Shipeng Yan; Qizhengqiu Lu; Lanqing Hong; Hailin Hu 002; Yifan Zhang 004; Zhenguo Li; Xinchao Wang; Jiashi Feng (ICLR, 2022)

Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer. - Jian Liang 001; Dapeng Hu; Yunbo Wang; Ran He 001; Jiashi Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation. - Dapeng Hu; Jian Liang 001; Jun Hao Liew; Chuhui Xue; Song Bai 001; Xinchao Wang (NeurIPS, 2023)

PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation. - Dapeng Hu; Jian Liang 001; Xinchao Wang; Chuan-Sheng Foo (CoRR, 2023)

Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation. - Dapeng Hu; Jian Liang 001; Xinchao Wang; Chuan-Sheng Foo (ICML, 2024)

Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline. - Dapeng Hu; Romy Luo; Jian Liang 001; Chuan Sheng Foo (NeurIPS, 2024)

Climate AI for Corporate Decarbonization Metrics Extraction. - Aditya Dave; Mengchen Zhu; Dapeng Hu; Sachin Tiwari (CoRR, 2024)