Hao Zhang
Orcid: 0000-0002-3572-7053Affiliations:
- Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, China
- Shanghai AI Laboratory, Xuhui, China
According to our database1,
Hao Zhang
authored at least 22 papers
between 2022 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding.
CoRR, May, 2025
Bandwidth-Adaptive Spatiotemporal Correspondence Identification for Collaborative Perception.
CoRR, February, 2025
Blind Image Deconvolution: When Patch-wise Minimal Pixels Prior Meets Fractional-Order Method.
J. Math. Imaging Vis., January, 2025
B-AVIBench: Toward Evaluating the Robustness of Large Vision-Language Model on Black-Box Adversarial Visual-Instructions.
IEEE Trans. Inf. Forensics Secur., 2025
Estimation-Denoising Integration Network Architecture With Updated Parameter for MRI Reconstruction.
IEEE Trans. Computational Imaging, 2025
IEEE Signal Process. Lett., 2025
OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
Int. J. Comput. Vis., December, 2024
J. Sci. Comput., November, 2024
IEEE Trans. Circuits Syst. Video Technol., August, 2024
Pattern Recognit., 2024
Pattern Recognit., 2024
GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation.
CoRR, 2024
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models.
CoRR, 2024
AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Adversarial Visual-Instructions.
CoRR, 2024
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Circuits Syst. Video Technol., September, 2023
CoRR, 2023
2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022