News
| Jul 2026 | SC 2026: Arachne, a training framework for Text-to-Video models that decomposes training into fine-grained computational units and orchestrates their execution via coordinated spatial and temporal optimization, is accepted to SC 2026! See our paper “Arachne: Orchestrating Cascades for Efficient Text-to-Video Model Training” for details. |
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| Jan 2026 | The technical report of AI Trinity, “Computation-Bandwidth-Memory Trade-offs: A Unified Paradigm for AI Infrastructure” is available at arXiv. |
| Jul 2025 | The project “AI for Green Multi-Cluster: Intelligent Management towards Green and Low-Carbon, Large-scale Multi-Clusters”, was recognized with the “Outstanding Case Award” at AI for Good Global Submmit. [Report] |
| May 2025 | I presented our paper “Grounding Natural Language to SQL Translation with Data-Based Self-Explanations” on International Conference on Data Engineering. [Poster] |
| Jul 2024 | I presented our paper “MetaSQL: A Generate-then-Rank Framework for Natural Language to SQL Translation” on International Conference on Data Engineering. [Video] |
