Bo Zhao

Affiliations:
  • Shanghai Jiao Tong University, China
  • University of Edinburgh, School of Informatics, UK
  • SenseTime Group Limited


According to our database1, Bo Zhao authored at least 16 papers between 2020 and 2026.

Collaborative distances:

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
ConLA: Contrastive Latent Action Learning from Human Videos for Robotic Manipulation.
CoRR, February, 2026

Inject Once Survive Later: Backdooring Vision-Language-Action Models to Persist Through Downstream Fine-tuning.
CoRR, February, 2026

EgoGrasp: World-Space Hand-Object Interaction Estimation from Egocentric Videos.
CoRR, January, 2026

2025
VLA-Pruner: Temporal-Aware Dual-Level Visual Token Pruning for Efficient Vision-Language-Action Inference.
CoRR, November, 2025

UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation.
CoRR, October, 2025

DD-Ranking: Rethinking the Evaluation of Dataset Distillation.
CoRR, May, 2025

BOOD: Boundary-based Out-Of-Distribution Data Generation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023
Dataset Condensation with Distribution Matching.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders.
CoRR, 2022

Synthesizing Informative Training Samples with GAN.
CoRR, 2022

Privacy for Free: How does Dataset Condensation Help Privacy?
Proceedings of the International Conference on Machine Learning, 2022

CAFE: Learning to Condense Dataset by Aligning Features.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Continual Representation Learning for Biometric Identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Dataset Condensation with Differentiable Siamese Augmentation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Dataset Condensation with Gradient Matching.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
iDLG: Improved Deep Leakage from Gradients.
CoRR, 2020


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