Technical Strategy: Define the AIGC roadmap across pre‑training and post‑training workstreams — from distributed training infrastructure to alignment, evaluation, and inference deployment.
Pre‑training & Infrastructure: Oversee the design of distributed training toolchains for ultra‑large‑scale AIGC models. Drive system‑level optimization across computation, communication, and storage layers. Ensure training stability and efficiency at scale.
Post‑training & Alignment: Guide architecture design for video generation post‑training — including high‑quality instruction data curation, preference alignment (RLHF, DPO, GRPO, PPO), and video quality enhancement pipelines.
Capability Expansion: Push the frontier on long‑video modeling, storyline consistency, precise camera control, and multi‑modal generation.
Evaluation & Quality: Establish video quality evaluation frameworks and multi‑dimensional Reward Models to systemat...
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