• Assistant Professor, Computer Science & Engineering
Zhengzhong Tu

Educational Background

  • Ph.D., Electrical and Computer Engineering, The University of Texas at Austin – 2022
  • M.S., Electrical Engineering, Fudan University – 2018
  • B.S., Electrical Engineering, Fudan University – 2016

Research Interests

    • Agentic artificial intelligence (AI)
    • Multimodal AI
    • Embodied AI
    • Trustworthy AI
    • AI/ML (machine learning) systems

Awards & Honors

  • NVIDIA Academic Grant Program Award – 2025
  • TensorBlock Researcher Access Progress Award – 2025
  • Stanford/Elsevier Top 2% Scientists List – 2025
  • CVPR 2025 MEIS Workshop Best Paper Award
  • Google Research Scholar Award – 2025
  • 1st place in NTIRE 2025 Short-form UGC VQAE Challenge
  • 1st place in CVPR 2024 UGC-VQA Challenge
  • CVPR 2022 Best Paper Finalist
  • CVPR 2023 Highlight, CVPR 2025 Highlight, ICLR 2025 Spotlight, AAAI 2025 Oral

Selected Publications

  • Y. Zuo, Q. Zheng, M. Wu, X. Jiang, R. Li, J. Wang, Y. Zhang, G. Mai, L. Wang, J. Zou, X. Wang, M.-H. Yang, Z. Tu. "4kagent: agentic any image to 4k super-resolution." NeurIPS 2025.
  • S. Shuo, Y. Wang, R. Bai, Y. Wang, C.-W. Hu, C. Qian, H. Yao, Z. Tu, “Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization,” EMNLP 2025 Main.
  • X. Gao, Y. Wu, R. Wang, C. Liu, Y. Zhou, Z. Tu, “LangCoop: Collaborative Driving with Language,” CVPR 2025 MEIS Workshop Best Paper Award
  • Z. Tu, H. Talebi, H. Xiang, F. Yang, P. Milanfar, A. C. Bovik, Y. Li, “MaxViT: Multi-axis vision Transformer,” ECCV 2022 Highlighted in 2022 Annual Google Research Blog.
  • Z. Tu, H. Talebi, H. Zhang, F. Yang, P. Milanfar, A. C. Bovik, Y. Li, “MAXIM: Multi-axis MLP for image processing,” CVPR 2022 Oral, Best Paper Finalist.