~/talks

Wei Hu

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titleconferencedate
Scaling for Intelligence: Distributed SQL Databases in the Age of AIDevWorld 20262026-05-07
Claims concrete outcomes and tools: uses Oracle Globally Distributed Database and distributed SQL patterns like sharding, raft quorum replication, and vector…
Talk on
AI-Native Databases: Four Innovations That MatterDevWorld 20262026-05-07
Argues that a single Oracle AI Database replaces polyglot sprawl by hosting relational, JSON, graph and vectors in one engine, claims transactional consistency…
Talk on
Modern Microservices for Enterprise AI: Patterns, Pitfalls, and PracticesJCON EUROPE 20262026-04-20
Advocates splitting systems into 7–10 mini‑services rather than hundreds, citing an Oracle auth system of ~30 services as a large real example, and warns that…
Talk on
Crypto Secure Data Management with In-Database BlockchainDevworld Conference 20252025-02-27
Claim: Oracle adds a blockchain table keyword to enforce immutable rows via chained cryptographic digests, preventing updates even by DBAs and detecting…
Talk on
What's new with in-database blockchain and crypto-security?Oracle CloudWorld 20222022-10-17
Oracle Database 23c embeds blockchain and crypto-security into the core DB: immutable tables and blockchain tables prevent insider rewrites and…
Talk on
Kubernetes and Microservices with DatabaseOracle DatabaseWorld 20212021-12-01
Oracle publishes Docker images for Oracle Database 19c (Enterprise, SE2, XE, single instance, RAC on‑prem, sharding) and Helm charts on GitHub, supports…
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Blockchain for the enterprise: Crypto-secure data managementOracle DatabaseWorld 20212021-12-01
Oracle embeds blockchain functions directly into the database so enterprises get crypto-protected rows without rewriting apps: immutable tables (insert-only…
Talk on
On Implicit Regularization in Deep LearningMeet the Fellows Welcome Event2021-09-08
Shows that for matrix completion parameterized as a product of d×d layers, gradient descent from near-zero consistently recovers the low-rank ground truth by…
Talk on
On Implicit Regularization in Deep LearningMeet the Fellows Welcome Event2021-09-08
Argues that gradient-descent optimization imposes an implicit regularizer that prefers low-complexity solutions, shows for matrix completion that parametrizing…
Talk on
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