AI Infra

openPangu-v3: agent-assisted distributed pretraining data pipelines
Independently build arXiv parsing and Data-Juicer-based GitHub processing, combining distributed deduplication with human–agent error-driven iteration.
APIE / RSI Infra: LLM inference for recursive self-improvement
An independently developed inference framework with optimization skills, benchmarks, fused graphs, asynchronous speculation and Rust parallel tokenization.
openPangu-v2: pretraining architecture selection and MTP inference optimization
Core contributions to three-head MTP selection, 2048-token sliding windows and full-graph speculative execution for long contexts.
DeepSeek-V3: inference performance on Ascend
Core work on lossless parallel tokenization and FlashComm communication/stream adaptation, with LoPT published at ACL 2026.