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Microsoft Research
- Beijing
- https://baotonglu.github.io/
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A modern replacement for Redis and Memcached
Repo for ECHO: Efficient KV Cache Offloading with Lossless Prefetching for Serving Native Sparse Attention LLMs (OSDI'26)
DeepInfer: High-performance, large-scale inference framework for DeepSeek models
Credo: Declarative Control of LLM Pipelines via Beliefs and Policies (VLDB 2026 Demo)
An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System (SIGMOD 2026)
Lightweight coding agent that runs in your terminal
AI-Driven Scientific, Algorithmic, and Systems Discovery
A framework for efficient model inference with omni-modality models
Benchmarking Open-Ended Inference Optimization by AI Agents
DeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm
Aker: Density-Aware Approximate Caching for Vector Search
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
AI agents running research on single-GPU nanochat training automatically
Memory Sparse Attention - A scalable, end-to-end trainable latent-memory framework for 100M-token contexts.
High Performance Serving Runtime For Interactive Super Intelligence System
The agent that grows with you
Ongoing research training transformer models at scale
AgentFlow: In-the-Flow Agentic System Optimization
I seek to draw from the philosophies embedded in AI research to inspire deeper reflection on life — exploring how the principles that guide intelligent systems can illuminate the way we live, think…
Design hardware-friendly model architectures and migrate existing LLMs with minimal performance loss
[ICLR 2026] RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
Bespoke OLAP: Synthesizing Workload-Specific One-size-fits-one Database Engines
GenDB, an LLM-Powered Generative Query Engine Built for the Future
Evolve your language agent with Agentic Context Engineering (ACE)
Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models