Dapeng Hu - RankMe

28 papers A* 9Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Reassessing the Role of Supervised Fine-Tuning: An Empirical Study in VLM Reasoning. CoRR Yongcan Yu, Lingxiao He, Shuo Lu, Lijun Sheng, Yinuo Xu, Yanbo Wang, Kuangpu Guo, Jianjie Cheng, Meng Wang, Qianlong Xie, Xingxing Wang, Dapeng Hu, Jian Liang
2024	J	`jnl`	Climate AI for Corporate Decarbonization Metrics Extraction. CoRR Aditya Dave, Mengchen Zhu, Dapeng Hu, Sachin Tiwari
2024	A*	`conf`	Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation. ICML Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
2024	A*	`conf`	Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline. NeurIPS Dapeng Hu, Romy Luo, Jian Liang, Chuan Sheng Foo
2023	A*	`conf`	Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation. NeurIPS Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang
2023	J	`jnl`	PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation. CoRR Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
2022	A*	`conf`	DINE: Domain Adaptation from Single and Multiple Black-box Predictors. CVPR Jian Liang, Dapeng Hu, Jiashi Feng, Ran He
2022	A*	`conf`	How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
2022	J	`jnl`	Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer. IEEE Trans. Pattern Anal. Mach. Intell. Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng
2021	J	`jnl`	Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. IEEE Trans. Image Process. Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen
2021	J	`jnl`	Distill and Fine-tune: Effective Adaptation from a Black-box Source Model. CoRR Jian Liang, Dapeng Hu, Ran He, Jiashi Feng
2021	A*	`conf`	Domain Adaptation With Auxiliary Target Domain-Oriented Classifier. CVPR Jian Liang, Dapeng Hu, Jiashi Feng
2021	J	`jnl`	How Well Self-Supervised Pre-Training Performs with Streaming Data? CoRR Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng
2021	A*	`conf`	No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. NeurIPS Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng
2021	J	`jnl`	No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. CoRR Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng
2021	J	`jnl`	UMAD: Universal Model Adaptation under Domain and Category Shift. CoRR Jian Liang, Dapeng Hu, Jiashi Feng, Ran He
2021	A*	`conf`	Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. NeurIPS Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng
2021	J	`jnl`	Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. CoRR Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng
2020	—	`conf`	A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. ECCV (11) Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng
2020	J	`jnl`	A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. CoRR Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng
2020	—	`conf`	An improved reinforcement learning approach to solve flow job scheduling problems. HPCC/DSS/SmartCity Dapeng Hu, Xuesong Jiang, Jian Wang
2020	J	`jnl`	Combating Domain Shift with Self-Taught Labeling. CoRR Jian Liang, Dapeng Hu, Jiashi Feng
2020	A*	`conf`	Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. ICML Jian Liang, Dapeng Hu, Jiashi Feng
2020	J	`jnl`	Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation. CoRR Jian Liang, Dapeng Hu, Jiashi Feng
2020	J	`jnl`	PANDA: Prototypical Unsupervised Domain Adaptation. CoRR Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng
2020	J	`jnl`	Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer. CoRR Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng
2019	—	`conf`	State Representation Learning for Minimax Deep Deterministic Policy Gradient. KSEM (1) Dapeng Hu, Xuesong Jiang, Xiumei Wei, Jian Wang
2018	—	`conf`	Influence of Non-equilibrium Condensation on key Parameter of Gas Wave Refrigerator. IEEA Peiqi Liu, Kehan Wu, Siyuan Xu, Jintao Wu, Fengxia Liu, Dapeng Hu