Linfeng Zhang

Orcid: 0000-0002-3341-183X

Affiliations:
  • Shanghai Jiao Tong University, China


According to our database1, Linfeng Zhang authored at least 70 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2025
Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling.
CoRR, July, 2025

MemOS: A Memory OS for AI System.
CoRR, July, 2025

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models.
CoRR, June, 2025

TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration.
CoRR, June, 2025

dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching.
CoRR, June, 2025

Shifting AI Efficiency From Model-Centric to Data-Centric Compression.
CoRR, May, 2025

MLLMs are Deeply Affected by Modality Bias.
CoRR, May, 2025

LEGION: Learning to Ground and Explain for Synthetic Image Detection.
CoRR, March, 2025

LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching.
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

Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free.
CoRR, January, 2025

Safety-Enhanced Navigation Planning for Magnetic Microrobots.
IEEE Trans Autom. Sci. Eng., 2025

Accelerating Diffusion Transformers with Token-wise Feature Caching.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

REEF: Representation Encoding Fingerprints for Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ProReflow: Progressive Reflow with Decomposed Velocity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Dataset Distillation with Neural Characteristic Function: A Minmax Perspective.
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

Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Unlocking Speech Instruction Data Potential with Query Rewriting.
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
Gesture Recognition Using Visible Light on Mobile Devices.
IEEE/ACM Trans. Netw., August, 2024

Accelerating Diffusion Transformers with Dual Feature Caching.
CoRR, 2024

Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation.
CoRR, 2024

Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model.
CoRR, 2024

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models.
CoRR, 2024

Decouple-Then-Merge: Towards Better Training for Diffusion Models.
CoRR, 2024

Accelerating Diffusion Models with One-to-Many Knowledge Distillation.
CoRR, 2024

DRUPI: Dataset Reduction Using Privileged Information.
CoRR, 2024

Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation.
CoRR, 2024

DiTFastAttn: Attention Compression for Diffusion Transformer Models.
CoRR, 2024

DiTFastAttn: Attention Compression for Diffusion Transformer Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Structured Knowledge Distillation for Accurate and Efficient Object Detection.
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

CORSD: Class-Oriented Relational Self Distillation.
CoRR, 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

Tiny Updater: Towards Efficient Neural Network-Driven Software Updating.
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

CORSD: Class-Oriented Relational Self Distillation.
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

Structured Knowledge Distillation Towards Efficient Multi-View 3D Object Detection.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Region-aware Knowledge Distillation for Efficient Image-to-Image Translation.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform?
IEEE Trans. Neural Networks Learn. Syst., 2022

Self-Distillation: Towards Efficient and Compact Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Structured Knowledge Distillation Towards Efficient and Compact Multi-View 3D Detection.
CoRR, 2022

Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

Contrastive Deep Supervision.
Proceedings of the Computer Vision - ECCV 2022, 2022

Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
SMART: screen-based gesture recognition on commodity mobile devices.
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

SMART: screen-based gesture recognition on commodity mobile devices.
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks.
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

Task-Oriented Feature Distillation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Auxiliary Training: Towards Accurate and Robust Models.
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

Non-structured DNN Weight Pruning Considered Harmful.
CoRR, 2019

SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models.
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
Optimization of the Power Flow in a Smart Home.
Proceedings of the Online Engineering & Internet of Things, 2017

2008
Video Segmentation Algorithm in Virtual Advertisement System.
Proceedings of the International Conference on Cyberworlds 2008, 2008

2007
The sensing mechanism and the response simulation of the MIS hydrogen sensor.
Proceedings of the Advances in Computer and Information Sciences and Engineering, 2007


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