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.
Research | Blog | Email | Hugging Face
My full paper list is available on my personal homepage.
2026: Domain adaptation & post-training. IAR / Wnuan / RAFTICML 2026: Multimodal & analytical reasoning. MechVQA / MechVL / ChartWalker2025: Scholarly agents & scientific systems. SPAR / SPARBench / SciSage / SurveyScope2025: LLM training & adaptation. SFTKey / MoSLD2025 / 2024: Domain LLMs & open data. CareBot / CCI3.0-HQ / Aquila-Med- BAAI collections. IndustryCorpus2 / Industry Instruction / IndustryCorpus
2024 / 2023: Generative audio. Mega-TTS 2 / Make-An-Audio2022 / 2021: Speech & singing synthesis. Dict-TTS / DiffSinger / NeuralSVB / PortaSpeechICLR 2021 / NeurIPS 2019: Fast text-to-speech. FastSpeech 2 / FastSpeech
- 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


