Pengzhang Liu

According to our database, Pengzhang Liu authored at least 15 papers between 2009 and 2025.

Collaborative distances:

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

2025

The Primacy of Magnitude in Low-Rank Adaptation.

Zicheng Zhang, Haoran Li, Yifeng Zhang, Guoqiang Gong, Jiaxing Wang, Pengzhang Liu, Qixia Jiang, Junxing Hu

CoRR, July, 2025

LLaVA-MLB: Mitigating and Leveraging Attention Bias for Training-Free Video LLMs.

Leqi Shen, Tao He, Guoqiang Gong, Fan Yang, Yifeng Zhang, Pengzhang Liu, Sicheng Zhao, Guiguang Ding

CoRR, March, 2025

FastVID: Dynamic Density Pruning for Fast Video Large Language Models.

Leqi Shen, Guoqiang Gong, Tao He, Yifeng Zhang, Pengzhang Liu, Sicheng Zhao, Guiguang Ding

CoRR, March, 2025

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval.

Leqi Shen, Tianxiang Hao, Tao He, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval.

Leqi Shen, Guoqiang Gong, Tianxiang Hao, Tao He, Yifeng Zhang, Pengzhang Liu, Sicheng Zhao, Jungong Han, Guiguang Ding

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

Beyond Logits: Aligning Feature Dynamics for Effective Knowledge Distillation.

Guoqiang Gong, Jiaxing Wang, Jin Xu, Deping Xiang, Zicheng Zhang, Leqi Shen, Yifeng Zhang, JunhuaShu JunhuaShu, ZhaolongXing ZhaolongXing, Zhen Chen, Pengzhang Liu, Ke Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Multi-task prompt tuning with soft context sharing for vision-language models.

Kun Ding, Ying Wang, Pengzhang Liu, Qiang Yu, Haojian Zhang, Shiming Xiang, Chunhong Pan

Neurocomputing, 2024

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval.

Leqi Shen, Tianxiang Hao, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding

CoRR, 2024

Multi-Label Learning with Block Diagonal Labels.

Leqi Shen, Sicheng Zhao, Yifeng Zhang, Hui Chen, Jundong Zhou, Pengzhang Liu, Yongjun Bao, Guiguang Ding

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels.

Ao Wang, Hui Chen, Zijia Lin, Zixuan Ding, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Guiguang Ding

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DynaMS: Dyanmic Margin Selection for Efficient Deep Learning.

Jiaxing Wang, Yong Li, Jingwei Zhuo, Xupeng Shi, Weizhong Zhang, Lixing Gong, Tong Tao, Pengzhang Liu, Yongjun Bao, Weipeng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels.

Zixuan Ding, Ao Wang, Hui Chen, Qiang Zhang, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Jungong Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Prompt Tuning with Soft Context Sharing for Vision-Language Models.

Kun Ding, Ying Wang, Pengzhang Liu, Qiang Yu, Haojian Zhang, Shiming Xiang, Chunhong Pan

CoRR, 2022

LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis.

Tianhao Gao, Jun Fang, Hanyu Liu, Zhiyuan Liu, Chao Liu, Pengzhang Liu, Yongjun Bao, Weipeng Yan

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2009

Face Recognition Using Modular Locality Preserving Projections.

Pengzhang Liu, Tingzhi Shen, Yu Hu, Sanyuan Zhao

Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009