👋 Hi there! Xin Wu (吴欣)

I am currently pursuing my PhD 🔭 in Computer Science and Technology at Southwest Jiaotong University (SWJTU), under the mentorship of Prof. Fei Teng. The main research directions of the master’s degree are image processing, AI 💻 + medical 🏥, and the key research directions are imaging medicine and traditional Chinese medicine intelligent diagnosis. My current research interests lie in time series 📈, OOD Generalization, and reliable AI. I am committed to pushing the boundaries of these research areas and exploring the full potential of machine learning algorithms to contribute meaningfully to the world of technology.

XIN WU (Towards eXtreme-scale, Interpretable, Novelty-aware, Wide-domain, Uncertainty-aware AI) aims to develop trustworthy and generalizable AI systems by advancing large-scale data mining, interpretable modeling, OOD robustness, domain generalization, and uncertainty quantification.

🤔 Only two things make me move.

i. ⌨️ 🧱 Working with Attention. It’s all I need.

ii. Life was like a box of chocolates 🍫. You never know what you’re going to get.

If you are interested in any aspect of me, I would love to chat and collaborate, please contact xinwu5386[at]gmail.com or wu1351658806[at]163.com.

🔥 News

• Jan. 2026: Our CTransCNN paper has received more than 100 citations. 🎉🎉🎉
• Nov. 2025: One paper accepted to AAAI 2026! 🎉🎉🎉

📝 Publications

Under Review 2025

ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification

Xin Wu, Fei Teng (*), Ji Zhang, Xingwang Li, Yuxuan Liang.

ArXiv, 2025.

Project | Code

Under Review 2025

Exploring Partial Multi-Label Learning via Integrating Semantic Co-occurrence Knowledge

Xin Wu, Fei Teng (*), Yue Feng, Kaibo Shi, Zhuosheng Lin, Ji Zhang, James Wang.

ArXiv, 2025.

Project | Code

Under Review 2025

Out-of-Distribution Generalization in Time Series: A Survey

Xin Wu, Fei Teng (*), Xingwang Li, Ji Zhang, Tianrui Li, Qiang Duan.

Arxiv, 2025.

Project | Code

KBS 2023

CTransCNN: Combining Transformer and CNN in Multilabel Medical Image Classification

Xin Wu, Yue Feng (*), Hong Xu, Zhuosheng Lin, Tao Chen, Shengke Li, Shihan Qiu, Qichao Liu, Yuangang Ma, Shuangsheng Zhang.

Knowledge-Based Systems (KBS), 2023.

Project | Code | BibTeX

Front. Comput. Sci.

Review of Deep Learning in Classification of Tongue Image

Xin Wu, Hong Xu, Zhuosheng Lin, Shengke Li, Huilin Liu, Yue Feng (*).

Journal of Frontiers of Computer Science & Technology, 2023.

BibTeX

PRCV 2023

CheXNet: Combing Transformer and CNN for Thorax Disease Diagnosis from Chest X-ray Images

Xin Wu, Yue Feng (*), Hong Xu, Zhuosheng Lin, Shengke Li, Shihan Qiu, QiChao Liu, Yuangang Ma.

Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023.

Code | BibTeX

💻 Internships

• Sep. 2022-July. 2023, Intelligent TCM Research Intern,Jiangmen Central Hospital, Jiangmen, China.
  

🎖 Honors and Awards

• Sep. 2018: Third Prize (Top 5%) in the 2018 Microsoft “Innovation Cup” Global College Student Technology Competition, China Region (Top 36 nationwide).
• Nov. 2018: Outstanding Award (Top 10%) in the Fourth “Internet+” Innovation and Entrepreneurship Competition, Chongqing.