Hi, I am Yang Zhou (周阳). I am currently a Ph.D. student at Sketch Lab, Zhejiang University, and an algorithm intern at the Qwen Group. I completed my master’s degree at Zhejiang University. During my studies, I was awarded the National Scholarship of Zhejiang University (Top 1%).

My research interests include Large Language Models, Multimodal Large Models, AI Agents, and Reinforcement Learning. To date, I have published or submitted 10+ papers at top international AI venues such as CVPR, ACM MM, KDD, and NeurIPS (Google Scholar).

After completing my Ph.D., I plan to join the Qwen Group or TikTok .

My research focuses on:

  • Large Language Models (LLMs)
  • Multimodal Large Language Models (MLLMs)
  • AI Agents
  • Reinforcement Learning
  • Sketch Understanding & Computer Vision

🎓 Education

  • 2025.09 - 2027.06, Zhejiang University, Sketch Lab, Hangzhou, China, Ph.D.
  • 2022.09 - 2025.06, Zhejiang University, Hangzhou, China, M.S.
  • 2018.09 - 2022.06, Anhui Agricultural University, Hefei, China, B.S.

📝 Publications

Selected Publications

CVPR 2026
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  • Modeling the Visual Ambiguity of Human Sketches
    Yang Zhou, Peng Ni, Jin Wang, Sen Jia, Jie Yan, Kecheng Huang, Guodong Lu, Shengfeng He.
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
    [Scholar]
ACM MM 2025
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  • Art4Math: Handwritten Mathematical Expression Recognition via Multimodal Sketch Grounding
    Yang Zhou, Jin Wang, Yuhan Zhang, Kecheng Huang, Guodong Lu, Jingru Yang, Shengfeng He.
    Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM), 2025: 1549-1558.
    [Scholar]
IEEE TMM 2025
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  • Purified Zero-Shot Sketch-Based Image Retrieval
    Yang Zhou, Jingru Yang, Jin Wang, Kecheng Huang, Guodong Lu, Shengfeng He.
    IEEE Transactions on Multimedia (TMM), 2025, 28: 929-943. (SCI Q1)
    [Scholar]
KDD 2027
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  • Neural-to-Symbolic Web Content Extraction at Billion Scale
    Yang Zhou, Zhixian Xie, Rijian Luo, Lei Yan, Pinhan Zhang, Xiaozhao Wang, Shengfeng He.
    The 33rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2027. (Under Review)
    [Scholar]

Full Publications


Journal & Conference Papers

  • Cross-modal pixel-and-stroke representation aligning networks for free-hand sketch recognition
    Yang Zhou, Jin Wang, Jingru Yang, Peng Ni, Guodong Lu, Heming Fang, Zhaoyang Li, Heng Yu, Kecheng Huang.
    Expert Systems with Applications 240, 122505, 2024. (SCI Q1)

  • Sketch-SparseNet: sparse convolution framework for sketch recognition
    Jingru Yang, Jin Wang, Yang Zhou, Guodong Lu, Yuanhong Sun, Heng Yu, Heming Fang, Zhaoyang Li, Shengfeng He.
    Pattern Recognition 167, 111682, 2025. (SCI Q1)

  • Autonomous detection of crop rows based on adaptive multi-ROI in maize fields
    Yang Zhou, Yi Yang, Boyuan Zhang, Xin Wen, Xinyue Yue, Li Chen.
    International Journal of Agricultural and Biological Engineering 14(4), 217-225, 2021.

  • Real-time detection of crop rows in maize fields based on autonomous extraction of ROI
    Yi Yang, Yang Zhou, Xinyue Yue, G. Zhang, Xin Wen, B. Ma, L. Xu, Li Chen.
    Expert Systems with Applications 213, 118826, 2023. (SCI Q1)

  • A lightweight network based on local–global feature fusion for real-time industrial invisible gas detection with infrared thermography
    Heng Yu, Jin Wang, Zhe Wang, Jingru Yang, Kecheng Huang, Guodong Lu, Fan Deng, Yang Zhou.
    Applied Soft Computing 152, 111138, 2024. (SCI Q1)

  • Jury-and-Judge Chain-of-Thought for Uncovering Toxic Data in 3D Visual Grounding
    Kecheng Huang, Q. Zhang, Jin Wang, Jingru Yang, Yang Zhou, Heng Yu, Guodong Lu, Shengfeng He.
    Advances in Neural Information Processing Systems (NeurIPS) 38, 57725-57753, 2026.

  • GranSSG: correlating volumetric granularities for 3D semantic scene graph prediction
    Kecheng Huang, Q. Zhang, Jin Wang, Jingru Yang, Yang Zhou, Jingyi Yi, Guodong Lu, Shengfeng He.
    IEEE Transactions on Visualization and Computer Graphics (TVCG), 2026.

  • Morpho-Aware Global Attention for Image Matting
    Jingru Yang, Canfeng Cao, Canming Xu, Zhixian Xie, Kecheng Huang, Yang Zhou, Shengfeng He.
    arXiv preprint arXiv:2411.10251, 2024.
    [arXiv]

Under Review

  • SketchMeSeg: Mechanical Freehand Sketch Segmentation via Temporal-Driven Geometric Grounding
    Yang Zhou, Heming Fang, Jin Wang, Guodong Lu, Jingru Yang.
    Pattern Recognition Letters, under review.

🏅 Honors & Awards

  • National Scholarship, Zhejiang University (Top 1%)

🏛️ Academic Activities

  • Reviewer: IJCAI, NeurIPS, IEEE TNNLS (IEEE Transactions on Neural Networks and Learning Systems)

💻 Internships

  • 2025.12 - 2026.07, Algorithm Intern, Qwen Group
  • 2024.06 - 2025.10, Hanwang Technology Co., Ltd.