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I am a first-year master student at Shenzhen International Graduate School, Tsinghua University. I am fortunate to be supervised by Prof. Yansong Tang in IVG@SZ group. Before that, I got B.S. in Mathematics and Physics from Tsinghua University (THU) in 2024. My research interests lie in the fields of Computer Vision and Efficient Deep Learning. My current research focuses on Long Video Understanding, Large Multimodal Model. Google Scholar / Email / Github / LinkedIn |
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* indicates equal contribution, † indicates corresponding author |
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Yiqin Wang*, Haoji Zhang*, Jingqi Tian, Yansong Tang† Findings of the Association for Computational Linguistics ACL (ACL), 2025 [arXiv] [Code] [Project Page] We propose Ponder & Press, a divide-and-conquer GUI agent framework that only relies on visual input to mimic human-like interaction with GUIs. |
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Yulin Wang*, Haoji Zhang*, Yang Yue, Shiji Song, Chao Deng, Junlan Feng, Gao Huang† IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, IF=20.8), 2025 [arXiv] [IEEE Paper] [Code] We explore the phenomenon of spatial/temporal/sample-wise redundancy and propose Uni-AdaFocus, an efficient end-to-end video recognition framework. |
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Haoji Zhang*, Yiqin Wang*, Yansong Tang †, Yong Liu, Jiashi Feng, Jifeng Dai, Xiaojie Jin† Preprint, 1st place solution of LOVEU@CVPR'24 challenge track 1 , 2024 [Award] [arXiv] [Code] [Project Page] We proposed Flash-VStream, a video-language model that simulates the memory mechanism of human, able to process long video streams in real-time. |
![[Award]](images/loveu1st.png){kind=link}
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Jianhui Li, Jianmin Li†, Haoji Zhang, Shilong Liu, Zhengyi Wang, Zihao Xiao, Kaiwen Zheng, Jun Zhu† IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [arXiv] [Code] [Project Page] We propose PREIM3D, a novel framework for 3D-aware image attribute editing that achieves better 3D consistency and precision at large camera poses. |
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Sule Bai, Mingxing Li, Yong Liu, Jing Tang, Haoji Zhang, Lei Sun, Xiangxiang Chu, Yansong Tang† Preprint, 2025 [arXiv] [Code] [Project Page] We propose UniVG-R1, a reasoning guided MLLM for universal visual grounding. |
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Sule Bai*, Yong Liu*, Yifei Han, Haoji Zhang, Yansong Tang† Preprint, 2024 [arXiv] [Code] We propose SC-CLIP, a training-free open-vocabulary segmentation framework that achieves competitive performance on various segmentation tasks. |
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