@article{dong2026tpami_survey,title={Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models},author={Dong, Hao and Liu, Moru and Zhou, Kaiyang and Chatzi, Eleni and Kannala, Juho and Stachniss, Cyrill and Fink, Olga},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},year={2026},}
CVPR
Adaptive Confidence Regularization for Multimodal Failure Detection
@inproceedings{liu2026cvpr_failure,title={Adaptive Confidence Regularization for Multimodal Failure Detection},author={Liu, Moru and Dong, Hao and Fink, Olga and Trapp, Mario},booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition},year={2026},}
CVPR Highlight
Towards Multimodal Domain Generalization with Few Labels
Hongzhao Li, Hao Dong, Hualei Wan, and 3 more authors
In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
@inproceedings{li2026cvpr_multimodal,title={Towards Multimodal Domain Generalization with Few Labels},author={Li, Hongzhao and Dong, Hao and Wan, Hualei and Li, Shupan and Xu, Mingliang and Khan, Muhammad Haris},booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition},year={2026},}
RESS
From Physics to Machine Learning and Back: Part I - Learning with Inductive Biases in prognostics and health management (PHM)
@article{fink2026ress1,title={From Physics to Machine Learning and Back: Part {I} - Learning with Inductive Biases in prognostics and health management {(PHM)}},author={Fink, Olga and Sharma, Vinay and Nejjar, Ismail and Von Krannichfeldt, Leandro and Garmaev, Sergei and Zhang, Zepeng and Wei, Amaury and Frusque, Gaetan and Forest, Florent and Zhao, Mengjie and Hsu, Chi-Ching and Faghih Niresi, Keivan and Sun, Han and Dong, Hao and Xu, Chenghao and Theiler, Raffael and Bizzi, Arthur},journal={Reliability Engineering \& System Safety},year={2026},}
RESS
From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in prognostics and health management (PHM)
@article{fink2026ress2,title={From Physics to Machine Learning and Back: Part {II} - Learning and Observational Bias in prognostics and health management {(PHM)}},author={Fink, Olga and Nejjar, Ismail and Sharma, Vinay and Faghih Niresi, Keivan and Sun, Han and Dong, Hao and Xu, Chenghao and Wei, Amaury and Bizzi, Arthur and Theiler, Raffael and Tian, Yuan and Von Krannichfeldt, Leandro and Ma, Zhan and Garmaev, Sergei and Zhang, Zepeng and Zhao, Mengjie},journal={Reliability Engineering \& System Safety},year={2026},}
arXiv
Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study
Hao Dong, Hongzhao Li, Shupan Li, and 3 more authors
@article{dong2026mmdgbench,author={Dong, Hao and Li, Hongzhao and Li, Shupan and Khan, Muhammad Haris and Chatzi, Eleni and Fink, Olga},title={Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study},journal={arXiv preprint arXiv:2605.06643},year={2026},}
arXiv
Multimodal Learning for Arcing Detection in Pantograph-Catenary Systems
@article{dong2026pantograph,title={Multimodal Learning for Arcing Detection in Pantograph-Catenary Systems},author={Dong, Hao and Chatzi, Eleni and Fink, Olga},year={2026},journal={arXiv preprint arXiv:2602.08792},}
2025
ICLR
Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization
@inproceedings{liu2025neurips_outlier,title={Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation},author={Liu, Moru and Dong, Hao and Kelly, Jessica and Fink, Olga and Trapp, Mario},booktitle={Advances in Neural Information Processing Systems},year={2025},}
@inproceedings{sun2025cvpr_anomaly,title={Unseen Visual Anomaly Generation},author={Sun, Han and Cao, Yunkang and Dong, Hao and Fink, Olga},booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition},year={2025},}
CVPR Highlight
DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection
Shawn Li, Huixian Gong, Hao Dong, and 3 more authors
In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
@inproceedings{li2025cvpr_dpu,title={DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection},author={Li, Shawn and Gong, Huixian and Dong, Hao and Yang, Tiankai and Tu, Zhengzhong and Zhao, Yue},booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition},year={2025},}
Nat. Commun.
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework
Yuan Tian, Wenqi Zhou, Michele Viscione, and 3 more authors
@article{tian2025nc,title={Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework},author={Tian, Yuan and Zhou, Wenqi and Viscione, Michele and Dong, Hao and Kammer, David and Fink, Olga},journal={Nature Communications},year={2025},}
TMLR
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework
@article{nejjar2025tmlr,title={Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework},author={Nejjar, Ismail and Dong, Hao and Fink, Olga},journal={Transactions on Machine Learning Research},year={2025},}
arXiv
Adapting Vision-Language Models Without Labels: A Comprehensive Survey
Hao Dong, Lijun Sheng, Jian Liang, and 3 more authors
@article{dong2025survey_vlm,title={Adapting Vision-Language Models Without Labels: A Comprehensive Survey},author={Dong, Hao and Sheng, Lijun and Liang, Jian and He, Ran and Chatzi, Eleni and Fink, Olga},year={2025},journal={arXiv preprint arXiv:2508.05547},}
arXiv
To Trust Or Not To Trust Your Vision-Language Model’s Prediction
@article{dong2026trust_vlm,title={To Trust Or Not To Trust Your Vision-Language Model's Prediction},author={Dong, Hao and Liu, Moru and Liang, Jian and Chatzi, Eleni and Fink, Olga},year={2025},journal={arXiv preprint arXiv:2505.23745},}
2024
NeurIPS Spotlight
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
@inproceedings{dong2024neurips_multiood,title={MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities},author={Dong, Hao and Zhao, Yue and Chatzi, Eleni and Fink, Olga},booktitle={Advances in Neural Information Processing Systems},year={2024},}
ECCV
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision
@inproceedings{dong2024eccv,title={Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision},author={Dong, Hao and Chatzi, Eleni and Fink, Olga},booktitle={European Conference on Computer Vision},year={2024},}
ICRA
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation
Hao Dong, Weihao Gu, Xianjing Zhang, and 5 more authors
In International Conference on Robotics and Automation, 2024
@inproceedings{dong2024icra_superfusion,title={SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation},author={Dong, Hao and Gu, Weihao and Zhang, Xianjing and Xu, Jintao and Ai, Rui and Lu, Huimin and Kannala, Juho and Chen, Xieyuanli},booktitle={International Conference on Robotics and Automation},year={2024},}
TNNLS
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation
@article{dong2024tnnls_nngmix,title={NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation},author={Dong, Hao and Frusque, Ga{\"e}tan and Zhao, Yue and Chatzi, Eleni and Fink, Olga},journal={IEEE Transactions on Neural Networks and Learning Systems},year={2024},}
2023
NeurIPS
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
@inproceedings{dong2023neurips_simmmdg,title={SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization},author={Dong, Hao and Nejjar, Ismail and Sun, Han and Chatzi, Eleni and Fink, Olga},booktitle={Advances in Neural Information Processing Systems},year={2023},}
ICRA
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors
@inproceedings{dong2023icra_descriptor,title={Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors},author={Dong, Hao and Chen, Xieyuanli and Dusmanu, Mihai and Larsson, Viktor and Pollefeys, Marc and Stachniss, Cyrill},booktitle={International Conference on Robotics and Automation},year={2023},}
RAS
Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments
@article{dong2023ras_pole,title={Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments},author={Dong, Hao and Chen, Xieyuanli and S{\"a}rkk{\"a}, Simo and Stachniss, Cyrill},journal={Robotics and Autonomous Systems},year={2023},}
2021
ECMR Oral
Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments
@inproceedings{dong2021ecmr_pole,title={Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments},author={Dong, Hao and Chen, Xieyuanli and Stachniss, Cyrill},booktitle={European Conference on Mobile Robots},year={2021},}