Hao Dong

32 papers A* 6Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Confidence Regularization for Multimodal Failure Detection.
CoRR
Moru Liu, Hao Dong, Olga Fink, Mario Trapp
2026 J jnl
Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Dong, Moru Liu, Kaiyang Zhou, Eleni N. Chatzi, Juho Kannala, Cyrill Stachniss, Olga Fink
2026 J jnl
From physics to machine learning and back: Part I - Learning with inductive biases in prognostics and health management (PHM).
Reliab. Eng. Syst. Saf.
Olga Fink, Vinay Sharma, Ismail Nejjar, Leandro Von Krannichfeldt, Sergei Garmaev, Zepeng Zhang, Amaury Wei, Gaëtan Frusque, Florent Forest, Mengjie Zhao, Chi-Ching Hsu, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Raffael Theiler, Arthur Bizzi, Kevin Steiner
2026 J jnl
From physics to machine learning and back: Part II - Learning and observational bias in prognostics and health management (PHM).
Reliab. Eng. Syst. Saf.
Olga Fink, Ismail Nejjar, Vinay Sharma, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Amaury Wei, Arthur Bizzi, Raffael Theiler, Yuan Tian, Leandro Von Krannichfeldt, Zhan Ma, Sergei Garmaev, Zepeng Zhang, Mengjie Zhao, Kevin Steiner, Yusuf Kesmen
2026 J jnl
Multimodal Learning for Arcing Detection in Pantograph-Catenary Systems.
CoRR
Hao Dong, Eleni N. Chatzi, Olga Fink
2025 J jnl
Adapting Vision-Language Models Without Labels: A Comprehensive Survey.
CoRR
Hao Dong, Lijun Sheng, Jian Liang, Ran He, Eleni N. Chatzi, Olga Fink
2025 J jnl
Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models.
CoRR
Hao Dong, Moru Liu, Kaiyang Zhou, Eleni N. Chatzi, Juho Kannala, Cyrill Stachniss, Olga Fink
2025 J jnl
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation.
CoRR
Moru Liu, Hao Dong, Jessica Kelly, Olga Fink, Mario Trapp
2025 J jnl
From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in PHM.
CoRR
Olga Fink, Ismail Nejjar, Vinay Sharma, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Amaury Wei, Arthur Bizzi, Raffael Theiler, Yuan Tian, Leandro Von Krannichfeldt, Zhan Ma, Sergei Garmaev, Zepeng Zhang, Mengjie Zhao
2025 J jnl
NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation.
IEEE Trans. Neural Networks Learn. Syst.
Hao Dong, Gaëtan Frusque, Yue Zhao, Eleni N. Chatzi, Olga Fink
2025 J jnl
Recall and Refine: A Simple but Effective Source-free Open- set Domain Adaptation Framework.
Trans. Mach. Learn. Res.
Ismail Nejjar, Hao Dong, Olga Fink
2025 J jnl
To Trust Or Not To Trust Your Vision-Language Model's Prediction.
CoRR
Hao Dong, Moru Liu, Jian Liang, Eleni N. Chatzi, Olga Fink
2025 A* conf
Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization.
ICLR
Hao Dong, Eleni N. Chatzi, Olga Fink
2025 J jnl
Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization.
CoRR
Hao Dong, Eleni N. Chatzi, Olga Fink
2025 A* conf
Unseen Visual Anomaly Generation.
CVPR
Han Sun, Yunkang Cao, Hao Dong, Olga Fink
2024 A* conf
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities.
NeurIPS
Hao Dong, Yue Zhao, Eleni N. Chatzi, Olga Fink
2024 J jnl
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities.
CoRR
Hao Dong, Yue Zhao, Eleni N. Chatzi, Olga Fink
2024 J jnl
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework.
CoRR
Ismail Nejjar, Hao Dong, Olga Fink
2024 A* conf
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation.
ICRA
Hao Dong, Weihao Gu, Xianjing Zhang, Jintao Xu, Rui Ai, Huimin Lu, Juho Kannala, Xieyuanli Chen
2024 J jnl
Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making.
CoRR
Yuan Tian, Wenqi Zhou, Hao Dong, David S. Kammer, Olga Fink
2024 — conf
Towards Multimodal Open-Set Domain Generalization and Adaptation Through Self-supervision.
ECCV (59)
Hao Dong, Eleni N. Chatzi, Olga Fink
2024 J jnl
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision.
CoRR
Hao Dong, Eleni N. Chatzi, Olga Fink
2023 A* conf
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors.
ICRA
Hao Dong, Xieyuanli Chen, Mihai Dusmanu, Viktor Larsson, Marc Pollefeys, Cyrill Stachniss
2023 J jnl
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation.
CoRR
Hao Dong, Gaëtan Frusque, Yue Zhao, Eleni N. Chatzi, Olga Fink
2023 J jnl
Online pole segmentation on range images for long-term LiDAR localization in urban environments.
Robotics Auton. Syst.
Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss
2023 A* conf
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization.
NeurIPS
Hao Dong, Ismail Nejjar, Han Sun, Eleni N. Chatzi, Olga Fink
2023 J jnl
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization.
CoRR
Hao Dong, Ismail Nejjar, Han Sun, Eleni N. Chatzi, Olga Fink
2022 J jnl
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors.
CoRR
Hao Dong, Xieyuanli Chen, Mihai Dusmanu, Viktor Larsson, Marc Pollefeys, Cyrill Stachniss
2022 J jnl
Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments.
CoRR
Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss
2022 J jnl
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation and Prediction.
CoRR
Hao Dong, Xianjing Zhang, Xuan Jiang, Jun Zhang, Jintao Xu, Rui Ai, Weihao Gu, Huimin Lu, Juho Kannala, Xieyuanli Chen
2021 — conf
Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments.
ECMR
Hao Dong, Xieyuanli Chen, Cyrill Stachniss
2021 J jnl
Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments.
CoRR
Hao Dong, Xieyuanli Chen, Cyrill Stachniss