Qizhe Zhang

According to our database, Qizhe Zhang authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning.

Jiajun Cao, Qizhe Zhang, Peidong Jia, Xuhui Zhao, Bo Lan, Xiaoan Zhang, Xiaobao Wei, Sixiang Chen, Zhuo Li, Yang Wang, Liyun Li, Xianming Liu, Ming Lu, Shanghang Zhang

CoRR, July, 2025

Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs.

Qizhe Zhang, Mengzhen Liu, Lichen Li, Ming Lu, Yuan Zhang, Junwen Pan, Qi She, Shanghang Zhang

CoRR, June, 2025

Concept-as-Tree: Synthetic Data is All You Need for VLM Personalization.

Ruichuan An, Kai Zeng, Ming Lu, Sihan Yang, Renrui Zhang, Huitong Ji, Qizhe Zhang, Yulin Luo, Hao Liang, Wentao Zhang

CoRR, March, 2025

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders.

Jiajun Cao, Yuan Zhang, Tao Huang, Ming Lu, Qizhe Zhang, Ruichuan An, Ningning Ma, Shanghang Zhang

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

2024

[CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster.

Qizhe Zhang, Aosong Cheng, Ming Lu, Zhiyong Zhuo, Minqi Wang, Jiajun Cao, Shaobo Guo, Qi She, Shanghang Zhang

CoRR, 2024

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective.

Zhi Zhang, Jiayi Shen, Congfeng Cao, Gaole Dai, Shiji Zhou, Qizhe Zhang, Shanghang Zhang, Ekaterina Shutova

CoRR, 2024

Discovering Long-Term Effects on Parameter Efficient Fine-tuning.

Gaole Dai, Yiming Tang, Chunkai Fan, Qizhe Zhang, Zhi Zhang, Yulu Gan, Chengqing Zeng, Shanghang Zhang, Tiejun Huang

CoRR, 2024

Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer.

Jiaming Liu, Qizhe Zhang, Xiaoqi Li, Jianing Li, Guanqun Wang, Ming Lu, Tiejun Huang, Shanghang Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Gradient-based Parameter Selection for Efficient Fine-Tuning.

Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation.

Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction.

Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation.

Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang

CoRR, 2023

Split & Merge: Unlocking the Potential of Visual Adapters via Sparse Training.

Qizhe Zhang, Bocheng Zou, Ruichuan An, Jiaming Liu, Shanghang Zhang

CoRR, 2023

Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation.

Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Shanghang Zhang

CoRR, 2023

2022

Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer.

Jiaming Liu, Qizhe Zhang, Jianing Li, Ming Lu, Tiejun Huang, Shanghang Zhang

CoRR, 2022

2021

Boosting Certified 𝓁_∞ Robustness with EMA Method and Ensemble Model.

Binghui Li, Shiji Xin, Qizhe Zhang

CoRR, 2021