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Shu Zhao

Ph.D. Candidate
Pennsylvania State University
smz5505@psu.edu


About Me

I am a Ph.D. candidate at Pennsylvania State University, advised by Prof. Vijaykrishnan Narayanan. Previously, I received M.E. degree from University of Chinese Academy of Sciences, advised by Prof. Bo Li, and B.E. degree from Anhui University.

I was fortunate to work with brilliant people: Dr. Tan Yu at NVIDIA; Dr. Xiaoshuai Hao at Beijing Academy of Artificial Intelligence; Dr. Nilesh Ahuja at Intel Labs; Prof. Dayan Wu at Institute of Information Engineering, Chinese Academy of Sciences.

I am seeking a full-time Research Scientist or Machine Learning Engineer position. Please contact me if you have relevant opportunities!

Research Interests

News

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  • [Mar. 2025] I will be interning at NVIDIA this summer. See you in Santa Clara!

Publications and Preprints

  1. arXiv
    Beyond the limitation of a single query: Train your LLM for query expansion with Reinforcement Learning
    Shu Zhao, Tan Yu, Anbang Xu
    arXiv:2510.10009. 2025.
    PDF Code

  2. arXiv
    ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
    Shu Zhao, Tan Yu, Anbang Xu, Japinder Singh, Aaditya Shukla, Rama Akkiraju
    arXiv:2508.09303. 2025.
    PDF Code

  3. ICCV
    HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
    Yusen Zhang, Wenliang Zheng, Aashrith Madasu, Peng Shi, Ryo Kamoi, Hao Zhou, Zhuoyang Zou, Shu Zhao, Sarkar Snigdha Sarathi Das, Vipul Gupta, Xiaoxin Lu, Nan Zhang, Ranran Haoran Zhang, Avitej Iyer, Renze Lou, Wenpeng Yin, Rui Zhang
    International Conference on Computer Vision (ICCV), 2025
    PDF Code

  4. AAAI
    KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
    Shu Zhao, Tan Yu, Xiaoshuai Hao, Wenchao Ma, Vijaykrishnan Narayanan
    AAAI Conference on Artificial Intelligence (AAAI), 2025
    PDF Code

  5. Information Fusion
    MapFusion: A Novel BEV Feature Fusion Network for Multi-modal Map Construction
    Xiaoshuai Hao, Yunfeng Diao, Mengchuan Wei, Yifan Yang, Peng Hao, Rong Yin, Hui Zhang, Weiming Li, Shu Zhao, Yu Liu
    Information Fusion, 2025
    PDF

  6. arXiv
    Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaboration
    Shu Zhao, Xiaohan Zou, Tan Yu, Huijuan Xu
    arXiv:2403.11373. 2024.
    PDF Code

  7. NeurIPS Workshop
    NEUCORE: Neural Concept Reasoning for Composed Image Retrieval
    Shu Zhao, Huijuan Xu
    UniReps Workshop @ Neural Information Processing Systems (NeurIPS), 2023
    PDF Code

  8. arXiv
    Less is More: Toward Zero-Shot Local Scene Graph Generation via Foundation Models
    Shu Zhao, Huijuan Xu
    arXiv:2310.01356. 2023.
    PDF

  9. IJCAI
    Rescuing Deep Hashing from Dead Bits Problem
    Shu Zhao, Dayan Wu, Yucan Zhou, Bo Li, Weiping Wang
    International Joint Conference on Artificial Intelligence (IJCAI), 2021.
    PDF

  10. ACM MM
    Asymmetric Deep Hashing for Efficient Hash Code Compression
    Shu Zhao, Dayan Wu, Wanqian Zhang, Yu Zhou, Bo Li, Weiping Wang
    ACM International Conference on Multimedia (ACM MM), 2020.
    PDF Oral Presentation

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