Xiaohan Zhang
Xiaohan Zhang

Postdoc at Purdue University

xiaohan.zhang.research@gmail.com

About Me

🎯 I am an incoming Postdoctoral Researcher at Purdue University working with Dr. Jianing Li. I earned my Ph.D. in Computer Science from the University of Vermont under the supervision of Dr. Safwan Wshah in 2026. Prior to my Ph.D., I received an M.Sc. from the University of California, Santa Cruz in 2020, and a B.Sc. from Michigan State University in 2017.

📚 My current research focuses on the intersection of artificial intelligence and drug discovery, with a specific emphasis on de novo antimicrobial peptide design. In parallel, I maintain a strong research interest in computer vision and generative models. This includes the exploration of visual geo-localization, diffusion models, diffusion-based Large Language Models (dLLMs), and remote sensing applications. Always open to new collaborations! Feel free to shoot me an email, if you are interested. 😃

Interests
  • Generative AI
  • Computer-Aided Drug Design
  • Visual Geo-Localization
  • 3D Reconstruction
  • Remote Sensing
  • Information Retrieval
Education
  • Ph.D. in Computer Science

    University of Vermont

  • M.Sc. in Computer Engineering

    University of California, Santa Cruz

  • B.Sc. in Computer Engineering

    Michigan State University

📰 News
  • [2026.05] I will join Purdue University as Post-doc Research Associate. My research will focus on AI for de novo drug discovery.

  • [2026.02] 3 papers accepted to CVPR 2026, including 2 main track papers and 1 finding.

  • [2025.12] Our Tutorial Beyond Vision: Multimodal Perspectives for Cross-View Geo-Localization has been selected to WACV 2026. Please refer to our tutorial website for more details. See you in Tucson!

  • [2025.09] I recieved $1000 Google Cloud Research Credits. Thanks Google for supporting my research!

  • [2025.07] My co-authored paper VICI has been accepted to ACMMM 2025 Workshop UAVs in Multimedia. Please check the project webpage for more details.

  • [2025.07] I will serve as a PC member in AAAI 2026.

  • [2025.05] I will serve as a PC member in ECAI 2025.

  • [2025.02] I will serve as a reviewer in ICCV 2025.

  • [2024.11] I will serve as a reviewer in CVPR 2025.

  • [2024.11] I will co-organize Cross-view Geo-localization: Current Challenges and Future Frontiers with GenAI tutorial in WACV 2025. Refer to our tutorial website for more details. See you in Tucson!

  • [2024.10] My co-authored paper GPG2A has been accepted to WACV 2025. Please check the project webpage for more details.

  • [2024.9] My paper GeoDTR+ has been accepted by IEEE TPAMI. The code and weights have been open-sourced on the GitHub page.

🚀 Recent Publications
(2026). Geo2: Geometry-Guided Cross-view Geo-Localization and Image Synthesis. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(2026). GeoFlow: Real-Time Fine-Grained Cross-View Geolocalization via Iterative Flow Prediction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(2026). Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings.
(2026). From Remote Sensing to Multiple Time Horizons Forecasts: Transformers Model for CyanoHAB Intensity in Lake Champlain. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
(2025). VICI: VLM-Instructed Cross-view Image-localisation. ACMMM 2025 Workshop UAVs in Multimedia.