AI Researcher & Engineer @ BAAI
I am an AI researcher and engineer interested in making foundation models useful in specialized domains. My work spans open datasets, domain adaptation, post-training and reinforcement learning, agentic research systems, and multimodal reasoning.
My path has taken me from ByteDance and Meituan to BAAI, where I build end-to-end systems from data and evaluation to models and applications. I care about practical, reproducible research, and I try to release the code, datasets, and tools behind my work whenever possible.
Blog | Google Scholar | Hugging Face | Patents | Email
My full paper list is available on my research page. I have published papers at ICML, AAAI, and COLING.
2026: Domain adaptation & post-training. IAR / Wnuan / RAFT2026: Multimodal & analytical reasoning. MechVQA / MechVLICML 2026· Code · Data & models / ChartWalker2025: Scholarly agents & scientific systems. SPAR / SPARBench · Code · Data / SciSage / SurveyScope2025: LLM training & adaptation. MoSLDCOLING 2025/ SFTKey2025 / 2024: Domain LLMs & open data. CareBotAAAI 2025/ CCI3.0-HQ / Aquila-Med- BAAI open data. IndustryCorpus2
/ Industry Instruction
/ IndustryCorpus
/ CCI3.0-HQ
- CHINESE-OCR
: end-to-end natural-scene Chinese text detection and recognition with CTPN, CRNN, and CTC
- Image2Katex
: image-to-LaTeX recognition for printed and handwritten mathematical formulas
- DKT-TensorFlow
: Deep Knowledge Tracing for adaptive learning


