Gengyuan Zhang
According to our database1,
Gengyuan Zhang
authored at least 20 papers
between 2021 and 2025.
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Bibliography
2025
CoRR, June, 2025
My Answer Is NOT 'Fair': Mitigating Social Bias in Vision-Language Models via Fair and Biased Residuals.
CoRR, May, 2025
Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs.
CoRR, February, 2025
CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
CoRR, 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.
CoRR, 2024
Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
RPF-ELD: Regional Prior Fusion using Early and Late Distillation for Breast Cancer Recognition in Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
CoRR, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering.
CoRR, 2022
2021
Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021