Email: lishang@gmail.com
My long-term vision is to build personalized embodied intelligent systems — small, continuously learning and self-evolving artificial agents that understand and interact with the physical world. By bridging machine learning algorithms with system software and silicon, I seek to develop adaptive cyber-physical intelligence that co-evolves with individuals over time, serving as intelligent companions that augment human capability, support lifelong growth, and deepen personal understanding of the world.
Designing vertically integrated AI systems that co-optimize models, compilers, runtimes, and hardware architectures.
Developing scalable training and inference systems that improve computational efficiency, robustness, and energy-performance tradeoffs.
Exploring adaptive, physically grounded agents capable of continual learning, perception–action integration, and sustained real-world interaction.
Machine Learning Systems (ML Sys)
Integration of algorithms, system software, and hardware for building efficient and scalable machine learning systems.
From Apprenticeship to Algorithms: What Education Becomes When Knowledge Is No Longer Scarce
From Scale to Rhythm: Nietzsche, Underestimation, and the Architecture of Inner Freedom
Geometry Before Abstraction: Multi-Scale Visual–Spatial Co-Learning
The Architecture of the Unknown: Philosophy, Wisdom, and the Human Edge
Articulation: Why Knowing Isn’t Understanding
Observe, Don't Touch: Evolution Is the Nature of AI Systems
The Great Academic Re-Sorting: Research, Leverage, and Rare Minds
Prior Discovery: Iterative Falsification in Search of World Structure
From Token Sequences to Structured Knowledge Memory
Email: lishang@gmail.com