AI Researcher & Engineer at BAAI · Previously ByteDance and Meituan
I build foundation-model systems for specialized domains, from open data and post-training to retrieval agents and multimodal reasoning. My work connects research with reusable code, datasets, models, and evaluation tools.
Website · Google Scholar · Hugging Face · Email
- MechVQA / MechVL
ICML 2026— A benchmark and domain-specialized models for understanding mechanical drawings. Code · Data & models - IAR
2026 preprint— Staged post-training to internalize document knowledge, align question answering, and recover general capabilities without retrieval. - SPAR / SPARBench
2025 preprint— Multi-agent scholarly retrieval with an evaluation dataset. Code · Data - SciSage / SurveyScope
2025 preprint— Multi-agent scientific survey generation and evaluation. Code · Data
More work on post-training: Wnuan · RAFT · SFTKey · MoSLD (COLING 2025).
Multimodal retrieval and domain models: ChartWalker · CareBot (AAAI 2025) · Aquila-Med.
Full research index · Published patent applications
- CCI3.0-HQ
— high-quality Chinese pre-training data · Paper
- IndustryCorpus2
— multilingual multi-industry pre-training corpus
- IndustryCorpus
— the original multilingual multi-industry corpus
- Industry Instruction
— multilingual multi-industry instruction data
- CHINESE-OCR
— Chinese scene-text detection and recognition; legacy project.
- Image2Katex — Image-to-LaTeX recognition for printed and handwritten formulas.
- DKT-TensorFlow — Deep knowledge tracing in TensorFlow.
