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2020 – today
- 2025
[c6]Jiajun Cao, Yuan Zhang, Tao Huang, Ming Lu, Qizhe Zhang, Ruichuan An, Ningning Ma, Shanghang Zhang:
MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders. CVPR 2025: 19846-19856- [c5]Gaole Dai, Chun-Kai Fan, Yiming Tang, Zhi Zhang, Yuan Zhang, Yulu Gan, Qizhe Zhang, Cheng-Ching Tseng, Shanghang Zhang, Tiejun Huang:
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning. ICML 2025 - [i15]Jiajun Cao, Yuan Zhang, Tao Huang, Ming Lu, Qizhe Zhang, Ruichuan An, Ningning Ma, Shanghang Zhang:
MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders. CoRR abs/2501.01709 (2025) - [i14]Ruichuan An, Kai Zeng, Ming Lu, Sihan Yang, Renrui Zhang, Huitong Ji, Qizhe Zhang, Yulin Luo, Hao Liang, Wentao Zhang:
Concept-as-Tree: Synthetic Data is All You Need for VLM Personalization. CoRR abs/2503.12999 (2025) - [i13]Qizhe Zhang, Mengzhen Liu, Lichen Li, Ming Lu, Yuan Zhang, Junwen Pan, Qi She, Shanghang Zhang:
Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs. CoRR abs/2506.10967 (2025) - [i12]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:
FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning. CoRR abs/2507.23318 (2025) - [i11]Junpeng Ma, Qizhe Zhang, Ming Lu, Zhibin Wang, Qiang Zhou, Jun Song, Shanghang Zhang:
MMG-Vid: Maximizing Marginal Gains at Segment-level and Token-level for Efficient Video LLMs. CoRR abs/2508.21044 (2025) - [i10]Junwen Pan, Qizhe Zhang, Rui Zhang, Ming Lu, Xin Wan, Yuan Zhang, Chang Liu, Qi She:
TimeSearch-R: Adaptive Temporal Search for Long-Form Video Understanding via Self-Verification Reinforcement Learning. CoRR abs/2511.05489 (2025) - 2024
- [c4]Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang:
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction. AAAI 2024: 16334-16342 - [c3]Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang:
Gradient-based Parameter Selection for Efficient Fine-Tuning. CVPR 2024: 28566-28577 - [c2]Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang:
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation. CVPR 2024: 28653-28663 - [c1]Jiaming Liu, Qizhe Zhang, Xiaoqi Li, Jianing Li
, Guanqun Wang, Ming Lu, Tiejun Huang, Shanghang Zhang:
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. ICRA 2024: 9109-9116 - [i9]Gaole Dai, Yiming Tang, Chunkai Fan, Qizhe Zhang, Zhi Zhang, Yulu Gan, Chengqing Zeng, Shanghang Zhang, Tiejun Huang:
Discovering Long-Term Effects on Parameter Efficient Fine-tuning. CoRR abs/2409.06706 (2024) - [i8]Zhi Zhang, Jiayi Shen, Congfeng Cao, Gaole Dai, Shiji Zhou, Qizhe Zhang, Shanghang Zhang, Ekaterina Shutova:
Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective. CoRR abs/2411.18615 (2024) - [i7]Qizhe Zhang, Aosong Cheng, Ming Lu, Zhiyong Zhuo, Minqi Wang, Jiajun Cao, Shaobo Guo, Qi She, Shanghang Zhang:
[CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster. CoRR abs/2412.01818 (2024) - 2023
- [i6]Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Shanghang Zhang:
Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation. CoRR abs/2303.09792 (2023) - [i5]Qizhe Zhang, Bocheng Zou, Ruichuan An, Jiaming Liu, Shanghang Zhang:
Split & Merge: Unlocking the Potential of Visual Adapters via Sparse Training. CoRR abs/2312.02923 (2023) - [i4]Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang:
Gradient-based Parameter Selection for Efficient Fine-Tuning. CoRR abs/2312.10136 (2023) - [i3]Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang:
Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation. CoRR abs/2312.12480 (2023) - 2022
- [i2]Jiaming Liu, Qizhe Zhang, Jianing Li, Ming Lu, Tiejun Huang, Shanghang Zhang:
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. CoRR abs/2208.12527 (2022) - 2021
- [i1]Binghui Li, Shiji Xin, Qizhe Zhang:
Boosting Certified 𝓁∞ Robustness with EMA Method and Ensemble Model. CoRR abs/2107.00230 (2021)
Coauthor Index
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