Model Architecture
Co-designing algorithms and infrastructure for capable models that remain efficient at scale.
RESEARCH ENGINEER · TENCENT HY
Efficient models.
Scalable intelligence.
I work on model architecture at Tencent HY's Pretraining Team, exploring how to make capable models more efficient at scale. Ph.D. in Computer Science, Tsinghua University.

01 / ABOUT
From research to real-world systems.
I am a Research Engineer on the Pretraining Team at Tencent HY, where I work on model architecture. I received my Ph.D. in Computer Science and Technology from Tsinghua University in June 2026. I was fortunate to be advised by Prof. Shaoping Ma, Prof. Yiqun Liu, and Prof. Qingyao Ai. My research focuses on efficient, scalable model architectures and the systems that make them practical.
02 / RESEARCH
Making intelligence more efficient.
Co-designing algorithms and infrastructure for capable models that remain efficient at scale.
Sparse attention, linear attention, and architecture-level techniques for reducing inference cost.
Extending useful context while balancing model quality, memory, throughput, and latency.
Developing stable low-precision methods that reduce training cost while preserving model quality at scale.
03 / NEWS
Recent work and milestones.
Hy4 preview was released. As one of its model-architecture contributors, I helped bring our research IndexCache into production in Hy4, enabling a cost-efficient 1M-token context.
I received my Ph.D. in Computer Science and Technology from Tsinghua University.
IndexCache was released, accelerating sparse attention via cross-layer index reuse.
The GLM-5 Technical Report was released. I am one of the core contributors to model architecture.
GLM-4.7 was released. See our blog for details.
GLM-4.6 was released. See our blog for details.
The GLM-4.5 Technical Report was released. I contributed to sparse-attention adaptation during post-training.
04 / PUBLICATIONS
Ideas, experiments, and findings.
Work on model architecture, information retrieval, and language models.
Accelerating sparse attention through cross-layer index reuse. Brought into production in Hy4.
Efficient attentionEnabling language models to self-express and retrieve for code generation.
Retrieval-augmented generation05 / OFF THE CLOCK
A little curiosity outside of work.
Away from models and systems, I enjoy exploring craft beer — from crisp wheat beers and hop-forward IPAs to Belgian witbiers and saisons.