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The team contributes to a textbook-development project on data engineering for general AI education.

MedMemoryBench evaluates memory and reasoning in long, multi-turn medical conversations and releases associated resources.

Forcing-KV combines structural and similarity-based pruning to reduce KV-cache memory in autoregressive video diffusion models.

A PostgreSQL technology salon featured a discussion of intelligent workload management for cloud data warehouses.

SuDIS contributes to an educational case study on real-time data infrastructure and intelligent data processing.

Huan Li and Yichen Yan were appointed as mentors in an AI outreach program for secondary-school students.

The team participates in a Zhejiang University–Ant Group joint center focused on AI for data and data-intensive applications.

A SuDIS-associated survey introduces an Availability–Reliability–Credibility framework for diagnosing data quality in LVLMs.

Huan Li was selected for the 2024 ACM SIGMOD China Rising Star Award and subsequently received an ACM China Rising Star Award Honorable Mention.

Joint teams from Zhejiang University and SUSTech reached the SIGMOD 2024 finals, with Alaya winning the global championship.