@inproceedings{yang2026cooperative,title={Unsupervised Multi-agent and Single-agent Perception from Cooperative Views},author={Yang, Haochen and Li, B. and Li, L. and Ren, D. and Guo, J. and Qin, M. and Zhang, T. and Yu, H.},booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition},year={2026},}
2025
DA3D: Domain-Aware Dynamic Adaptation for All-Weather Multimodal 3D Detection
Haochen Yang, L. Li, J. Guo, B. Li, M. Qin, H. Yu, and T. Zhang
In Proceedings of the 33rd ACM International Conference on Multimedia, 2025
@inproceedings{yang2025da3d,title={DA3D: Domain-Aware Dynamic Adaptation for All-Weather Multimodal 3D Detection},author={Yang, Haochen and Li, L. and Guo, J. and Li, B. and Qin, M. and Yu, H. and Zhang, T.},booktitle={Proceedings of the 33rd ACM International Conference on Multimedia},pages={2150--2158},year={2025},}
Low-Light Driving Perception
Real-world day–night data alignment and robust perception in dark driving environments.
2026
DarkDriving: A Real-World Day and Night Aligned Dataset for Autonomous Driving in the Dark Environment
W. Wang, Haochen Yang, B. Li, J. Sun, X. Zhao, Z. Xu, Q. Guo, H. Min, T. Zhang, and H. Yu
In IEEE International Conference on Robotics and Automation, 2026
@inproceedings{wang2026darkdriving,title={DarkDriving: A Real-World Day and Night Aligned Dataset for Autonomous Driving in the Dark Environment},author={Wang, W. and Yang, Haochen and Li, B. and Sun, J. and Zhao, X. and Xu, Z. and Guo, Q. and Min, H. and Zhang, T. and Yu, H.},booktitle={IEEE International Conference on Robotics and Automation},year={2026},}
Efficient Federated Learning
Communication-efficient learning through parameter freezing, dynamic sparsity, and task alternation.
2026
FedSTA: Spatio-Temporal Alternation for Efficient Federated Multi-Task Learning
L. Li, Haochen Yang, J. Guo, H. Yu, M. Qin, and T. Zhang
IEEE Transactions on Circuits and Systems for Video Technology, 2026
@article{li2026fedsta,title={FedSTA: Spatio-Temporal Alternation for Efficient Federated Multi-Task Learning},author={Li, L. and Yang, Haochen and Guo, J. and Yu, H. and Qin, M. and Zhang, T.},journal={IEEE Transactions on Circuits and Systems for Video Technology},year={2026},}
2025
Task-Aware Federated Multi-Task Learning
L. Li, Haochen Yang, J. Guo, H. Yu, M. Qin, and T. Zhang
@inproceedings{li2025taskaware,title={Task-Aware Federated Multi-Task Learning},author={Li, L. and Yang, Haochen and Guo, J. and Yu, H. and Qin, M. and Zhang, T.},booktitle={ACM Multimedia Asia},year={2025},}
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing
L. Li, Haochen Yang, J. Guo, H. Yu, M. Qin, and T. Zhang
In Proceedings of the AAAI Conference on Artificial Intelligence, 2025
@inproceedings{li2025dynamic,title={An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing},author={Li, L. and Yang, Haochen and Guo, J. and Yu, H. and Qin, M. and Zhang, T.},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},volume={39},number={17},year={2025},}
Digital Twin & Health Intelligence
Personalized medical devices, cardiac digital twins, and learning-based healthcare applications.
2024
Decision Support for Personalized Therapy in Implantable Medical Devices: A Digital Twin Approach
@article{yang2024digitaltwin,title={Decision Support for Personalized Therapy in Implantable Medical Devices: A Digital Twin Approach},author={Yang, Haochen and Jiang, Z.},journal={Expert Systems with Applications},volume={243},pages={122883},year={2024},}
2022
Digital-Twin-Based Online Parameter Personalization for Implantable Cardiac Defibrillators
M. Lai, Haochen Yang, J. Gu, X. Chen, and Z. Jiang
In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2022
@inproceedings{lai2022digitaltwin,title={Digital-Twin-Based Online Parameter Personalization for Implantable Cardiac Defibrillators},author={Lai, M. and Yang, Haochen and Gu, J. and Chen, X. and Jiang, Z.},booktitle={44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},year={2022},}
2021
Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network
M. Lai, G. Chen, Haochen Yang, J. Yang, Z. Jiang, M. Wu, and J. Zheng
In 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021
@inproceedings{lai2021synthetic,title={Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network},author={Lai, M. and Chen, G. and Yang, Haochen and Yang, J. and Jiang, Z. and Wu, M. and Zheng, J.},booktitle={43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society},year={2021},}
Model-Based Pre-Clinical Trials for Medical Devices Using Statistical Model Checking
@misc{yang2021preclinical,title={Model-Based Pre-Clinical Trials for Medical Devices Using Statistical Model Checking},author={Yang, Haochen and Gu, J. and Jiang, Z.},year={2021},archiveprefix={arXiv},url={https://arxiv.org/abs/2106.11917},}
2026
Stealthy Multi-Task Adversarial Attacks
J. Guo, T. Zhang, L. Li, Haochen Yang, H. Yu, and M. Qin
@inproceedings{guo2026stealthy,title={Stealthy Multi-Task Adversarial Attacks},author={Guo, J. and Zhang, T. and Li, L. and Yang, Haochen and Yu, H. and Qin, M.},booktitle={European Conference on Computer Vision},year={2026},archiveprefix={arXiv},url={https://arxiv.org/abs/2411.17936},}
2025
Robust Multi-task Adversarial Attacks Using Min-max Optimization
J. Guo, L. Li, Haochen Yang, B. Geng, H. Yu, M. Qin, and T. Zhang
In IEEE International Conference on Acoustics, Speech and Signal Processing, 2025
@inproceedings{guo2025robust,title={Robust Multi-task Adversarial Attacks Using Min-max Optimization},author={Guo, J. and Li, L. and Yang, Haochen and Geng, B. and Yu, H. and Qin, M. and Zhang, T.},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing},year={2025},}
2023
pyUPPAAL: A Python Package for Risk Analysis of CPS
G. Chen, L. Yang, Haochen Yang, P. He, and Z. Jiang
In Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023
@inproceedings{chen2023pyuppaal,title={pyUPPAAL: A Python Package for Risk Analysis of CPS},author={Chen, G. and Yang, L. and Yang, Haochen and He, P. and Jiang, Z.},booktitle={Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems},year={2023},}
2019
Quantitative Estimation of Rainfall Rate Intensity Based on Deep Convolutional Neural Network and Radar Reflectivity Factor
Haochen Yang, T. Wang, X. Zhou, J. Dong, X. Gao, and S. Niu
In Proceedings of the 2nd International Conference on Big Data Technologies, 2019
@inproceedings{yang2019rainfall,title={Quantitative Estimation of Rainfall Rate Intensity Based on Deep Convolutional Neural Network and Radar Reflectivity Factor},author={Yang, Haochen and Wang, T. and Zhou, X. and Dong, J. and Gao, X. and Niu, S.},booktitle={Proceedings of the 2nd International Conference on Big Data Technologies},year={2019},}
2018
Automatic Identification of Vulnerable Plaque Based on Flexible Neural Tree
W. Tian, Y. Pang, S. Niu, Haochen Yang, J. Dong, J. Zhou, and Y. Chen
In International Conference on Security, Pattern Analysis, and Cybernetics, 2018
@inproceedings{tian2018plaque,title={Automatic Identification of Vulnerable Plaque Based on Flexible Neural Tree},author={Tian, W. and Pang, Y. and Niu, S. and Yang, Haochen and Dong, J. and Zhou, J. and Chen, Y.},booktitle={International Conference on Security, Pattern Analysis, and Cybernetics},year={2018},}