About me

• 2024.06 - 2024.12, Research Scientist Intern, Tiktok, US.
  - Intelligent Creation Department.
  - Topic: Large vision-language model interpretation and fine-tuning.

• 2024.02 - 2024.06, Student Researcher, Google Research, US.
  - Topic: Region-aware fine-tuning for text-to-image generation.

• 2021.03 - 2021.06, Research Scientist Intern, JD Technology, China.
  - Visual Fundamental Research Department.
  - Topic: Facial expression driven face animation.

• 2020.06 - 2021.02, Research Intern, University of Virginia, US.
  - Advisor: Prof. Jundong Li
  - Topic: Fairness-aware unsupervised feature selection.

• 2020.06 - 2020.09, Research Intern, University of Washington, US.
  - Access Computing Program.
  - Topic: Cough verification by sequential modeling.

Scholarship

• National Scholarship for Overall Performance Excellence, Tsinghua University

• Scholarship for Scientific and Technological Innovation Excellence, Tsinghua University

• Scholarship for Outstanding New Student, Northwestern University

Honor

• Outstanding Graduate Award, Tsinghua University

• Peer Award for Research Contributions, Google Research

• Selected to Chinese National College Student Innovation and Entrepreneurship Training Program

Competition

• National first prize in Chinese Undergraduate Physics Competition

• Second prize in AI challenge competition, Tsinghua University

*denotes equal contribution.

• Q. Sun, X. Xing, H. Weng, C. Yeum, M. Crowley. "View Invariant Learning for Vision-Language Navigation in Continuous Environments". arXiv preprint.

• M. Li, X. Gu, F. Chen, X. Xing, L. Wen, C. Chen, S. Zhu. "Superedit: Rectifying and facilitating supervision for instruction-based image editing". Accepted to ICCV 2025.

• X. Xing, CW. Kuo, F. Li, Y. Niu, F. Chen, M. Li, Y. Wu, L. Wen, S. Zhu. "Where do Large Vision-Language Models Look at when Answering Questions?". arXiv preprint.

• X. Xing, A. Saha, J. He, S. Hao, P. Vicol, M. Ryu, G. Li, S. Singla, S. Young, Y. Li, F. Yang, D. Ramachandran. "Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation". IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 highlight.

• Y. Li, L. Fan, X. Xing, J. Zhou, Y. Wu. "GPVK-VL: Geometry-Preserving Virtual Keyframes for Visual Localization under Large Viewpoint Changes". IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025.

• X. Xing, P. Xiong, L. Fan, Y. Li, Y. Wu. “Learning to Ask Denotative and Connotative Questions for Knowledge-based VQA”. Findings of the Association for Computational Linguistics (EMNLP) 2024.

• L. Fan, J. Zhou, X. Xing, Y. Wu. “Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations”. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024.

• X. Xing, M. Liang, Y. Wu. “TOA: Task-oriented active VQA”. Conference on Neural Information Processing Systems (NeurIPS) 2023.

• X. Xing, H. Liu, C. Chen, J. Li. “Fairness-Aware Unsupervised Feature Selection”. Proceedings of the ACM International Conference on Information & Knowledge Management (ACM CIKM) 2021.

• C. Wang*, X. Xing*, Z. Su, J. Chen. “DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal”. Proceedings of the ACM International Conference on Multimedia (ACM MM) 2020.

• C. Wang, X. Xing, G. Yao, Z. Su. “Single Image Deraining via Deep Shared Pyramid Network”. The Visual Computer 2021.

• Reviewer for NeurIPS 2025

• Reviewer and emergency reviewer for CVPR 2025

• Reviewer for Transactions on Audio, Speech and Language Processing

• Reviewer for ECCV 2024

• Reviewer for CVPR 2024

• Embedded Artificial Intelligence (2024 winter)

• Introduction to Computer Vision (2024 fall)

• Special Topics: Computer Vision (2025 spring)