Hui Li

Reinforcement learning can significantly boost the efficiency of scheduling heterogeneous satellites, achieving better utility and convergence than traditional optimization methods.

CodeHID achieves a paradigm shift in code retrieval by organizing semantically similar snippets into a meaningful hierarchical index, leading to superior retrieval performance.

IQACO not only boosts observation efficiency for agile satellites but also adapts dynamically to the unpredictable nature of maritime targets.

Automated security patch backporting tools show stark performance drops in real-world scenarios, revealing hidden challenges that could reshape tool development.

FROG achieves up to 37.7x faster RFANNS query throughput on GPUs, revolutionizing how vector databases handle range-filtering tasks.

Privacy-preserving RFANNS can now be performed on encrypted vector databases without compromising the efficiency of search queries.

KGD achieves a 4-12% performance boost over traditional pretrain-transfer methods while sustaining its advantage in long-term production environments.