Linfeng Zhang
Orcid: 0000-0002-3341-183XAffiliations:
- Shanghai Jiao Tong University, China
According to our database1,
Linfeng Zhang
authored at least 70 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
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on orcid.org
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Bibliography
2025
CoRR, July, 2025
EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models.
CoRR, June, 2025
CoRR, June, 2025
CoRR, June, 2025
CoRR, May, 2025
CoRR, March, 2025
CoRR, March, 2025
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation.
CoRR, March, 2025
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint.
CoRR, February, 2025
Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More.
CoRR, February, 2025
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning.
CoRR, February, 2025
Compression with Global Guidance: Towards Training-free High-Resolution MLLMs Acceleration.
CoRR, January, 2025
CoRR, January, 2025
IEEE Trans Autom. Sci. Eng., 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE/ACM Trans. Netw., August, 2024
CoRR, 2024
Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model.
CoRR, 2024
CoRR, 2024
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
A Good Data Augmentation Policy is not All You Need: A Multi-Task Learning Perspective.
IEEE Trans. Circuits Syst. Video Technol., May, 2023
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study.
Proceedings of the International Joint Conference on Neural Networks, 2023
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Structured Knowledge Distillation Towards Efficient and Compact Multi-View 3D Detection.
CoRR, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Fine-grained emotion classification of Chinese microblogs based on graph convolution networks.
World Wide Web, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Prediction of Marine Pycnocline Based on Kernel Support Vector Machine and Convex Optimization Technology.
Sensors, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2017
Proceedings of the Online Engineering & Internet of Things, 2017
2008
Proceedings of the International Conference on Cyberworlds 2008, 2008
2007
Proceedings of the Advances in Computer and Information Sciences and Engineering, 2007