Lin Zhang

According to our database, Lin Zhang authored at least 15 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MLG-Stereo: ViT Based Stereo Matching with Multi-Stage Local-Global Enhancement.

Haoyu Zhang, Jingyi Zhou, Peng Ye, Jiakang Yuan, Lin Zhang, Feng Xu, Tao Chen

CoRR, April, 2026

FreshMem: Brain-Inspired Frequency-Space Hybrid Memory for Streaming Video Understanding.

Kangcong Li, Peng Ye, Lin Zhang, Chao Wang, Huafeng Qin, Tao Chen

CoRR, February, 2026

Adapter-X: A general parameter-efficient fine-tuning framework for 2D and 3D vision.

Minglei Li, Peng Ye, Lin Zhang, Bizhe Bai, Tao Chen

Neurocomputing, 2026

2025

Sequential Token Merging: Revisiting Hidden States.

Yan Wen, Peng Ye, Lin Zhang, Baopu Li, Jiakang Yuan, Yaoxin Yang, Tao Chen

CoRR, September, 2025

TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models.

Xudong Tan, Peng Ye, Chongjun Tu, Jianjian Cao, Yaoxin Yang, Lin Zhang, Dongzhan Zhou, Tao Chen

CoRR, March, 2025

Learnable Bi-directional Data Augmentation for few-shot cross-domain point cloud classification.

Xu Sun, Lin Zhang, Jiahao Xu, Jiakang Yuan, Tao Chen

Neurocomputing, 2025

FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding.

Chongjun Tu, Lin Zhang, Pengtao Chen, Peng Ye, Xianfang Zeng, Wei Cheng, Gang Yu, Tao Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding.

Kangcong Li, Peng Ye, Chongjun Tu, Lin Zhang, Chunfeng Song, Jiamin Wu, Tao Yang, Qihao Zheng, Tao Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SC-Captioner: Improving Image Captioning with Self-Correction by Reinforcement Learning.

Lin Zhang, Xianfang Zeng, Kangcong Li, Gang Yu, Tao Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models.

Yongqi Huang, Peng Ye, Chenyu Huang, Jianjian Cao, Lin Zhang, Baopu Li, Gang Yu, Tao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Few-Shot Cross-Domain Object Detection With Instance-Level Prototype-Based Meta-Learning.

Lin Zhang, Bo Zhang, Botian Shi, Jiayuan Fan, Tao Chen

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Push-and-Pull: A General Training Framework With Differential Augmentor for Domain Generalized Point Cloud Classification.

Jiahao Xu, Xinzhu Ma, Lin Zhang, Bo Zhang, Tao Chen

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Lightweight Model Pre-Training via Language Guided Knowledge Distillation.

Mingsheng Li, Lin Zhang, Mingzhen Zhu, Zilong Huang, Gang Yu, Jiayuan Fan, Tao Chen

IEEE Trans. Multim., 2024

Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision.

Minglei Li, Peng Ye, Yongqi Huang, Lin Zhang, Tao Chen, Tong He, Jiayuan Fan, Wanli Ouyang

CoRR, 2024

3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection.

Mingsheng Li, Jiakang Yuan, Sijin Chen, Lin Zhang, Anyu Zhu, Xin Chen, Tao Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024