😊About Me

• I am a Ph.D. candidate at the School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC). I am supervised by Prof. Peng Wang. I am also a research intern at Alibaba DAMO Academy, working on multimodal large language models for medical imaging.
• My research interests include computer vision, multimodal large language models, medical imaging, and zero-shot anomaly detection.

🔥News

• 2026.07: Our paper RadSight is now available on arXiv, with code and model checkpoints released.
• 2026.03: One paper accepted to CVPR 2026 Findings.
• 2026.03: Started my Ph.D. journey at UESTC.
• 2026.01: Started my research internship at Alibaba DAMO Academy.
• 2025.11: One paper submitted to CVPR 2026.
• 2023.09: Started my master's study at UESTC.

📝Selected Publications

†: equal contribution; *: corresponding author. (all publications)

Medical Multimodal Learning & Radiology AI 🩻

• arXiv2026 RadSight: Towards Perceptually Reliable Multimodal Radiology Image Understanding, Jianqin Liu^†, Weiwei Cao^†, Wanxing Chang^†, Ruifeng Yuan^†, Bowen Shi^†, Zhilin Zheng, Xianjie Zhang, Ling Zhang, Peng Wang^*, Jianpeng Zhang^*. arXiv preprint arXiv:2607.22293. [arXiv][code][HF-4B][HF-8B]

Zero-shot Anomaly Detection & Vision-Language Learning 💪

• CVPR Findings2026 DA-CLIP: Mitigating Granularity Mismatch in Zero-Shot Anomaly Detection via Decoupled Text-Visual Alignment, Jianqin Liu, Peng Wang, Junming Huang, Xue Zhou, Li Yu. CVPR 2026 Findings. [pdf][code][project]

📖Educations

• 2026.03 - (now), Ph.D. in Computer Science and Technology, School of Computer Science and Engineering, University of Electronic Science and Technology of China.
• 2023.09 - 2026.03, Master of Control Science and Engineering, School of Automation Engineering, University of Electronic Science and Technology of China.
• Before 2023, Bachelor of Electrical Engineering and Automation, Chengdu University of Technology.

💻Internships

• 2026.01 - (now), Alibaba DAMO Academy, Research Intern.