LinkedIn · Email · GitHub · Ürümqi, China
I am an AI Engineer and M.S. candidate in Computer Science and Technology at Xinjiang University, China. I work across applied AI engineering and research in computer vision, foundation models, and time-series learning.
My work includes reproducible model evaluation, visual anomaly-detection benchmarking, causal and online time-series evaluation, NLP model fine-tuning, and AI-agent workflows. I care about implementations that can be inspected, measured, and reproduced.
Engineering: AI Booking & Support Agent
Research reproductions: AF-CLIP · APRIL-GAN · AnomalyCLIP · WinCLIP
The research repositories contain independent reproduction and evaluation work. Original methods, code, checkpoints, and datasets remain attributed to their respective authors and licenses.
- Graduate Researcher, Xinjiang University — computer vision and time-series anomaly detection.
- First-author manuscript under anonymous review at AAAI 2027. Paper-specific details are intentionally omitted during review.
- First-author work for IEEE ICASSP 2027 on causal time-series anomaly detection, co-authored with Panpan Zheng.
Research interests: efficient and adaptive foundation models, parameter-efficient fine-tuning, robust and test-time adaptation, model compression, efficient attention, and low-resource multilingual NLP.
I am open to remote AI Engineer roles, applied-AI internships, and research internships where strong implementation and careful research matter together.