Sep 07 2026
Congratulations to Jun Zhai for leading team S17 to a 3rd-place finish out of 256 participants in IGP24! Read Jun’s retrospective blog post: Producing Mathematics, Understanding Mathematics.
Jul 30 2026
Our paper A Foundation Model of Numerical Intelligence with Cross-Disciplinary Generalization is now available on arXiv. UNICON is a single frozen model that infers system-specific predictive relations from graph-based numerical examples and approaches specialist performance across disciplines absent from training.
Jun 18 2026
Our paper Agentic Symbolic Search: Characterizing PDEs Beyond Hand-crafted Expressions, Meshes, and Neural Networks is now available on arXiv.
Jun 10 2026
Our paper Chain of Operators: An Inference-Time Harness for In-Context Operator Learning is now available on arXiv.
Jun 10 2026
Our paper VICX: Generalizable Robot Manipulation via Video Generation and In-Context Operator Network (Project) is now available on arXiv.
Jun 07 2026
Our paper Self-Evolving Scientific Agent Designs Physically-Reasoned Whitebox Fluid Control is now available on arXiv.
May 09 2026
Our paper Evolving Ensemble of Agents (GitHub) is now available on arXiv. We introduce EvE: a decentralized, co-evolving system of coding agents and code repositories.
Apr 28 2026
Our paper In-Context Modeling as a Retrain-Free Paradigm for Foundation Models in Computational Science is now available on arXiv.
Apr 25 2026
Our paper Escher-Loop: Mutual Evolution by Closed-Loop Self-Referential Optimization is now available on arXiv.
Mar 14 2026
We released icon-core, an open-source research infrastructure package for In-Context Operator Network (ICON) development. It provides standard models and algorithms, benchmark datasets, training pipelines, and development utilities, featuring built-in support for AI coding assistants like Claude Code.
Mar 13 2026
Our paper Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction is now available on arXiv.
Nov 25 2025
Our paper VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction is accepted by Transactions on Machine Learning Research. This work was done in collaboration with researchers from UCLA and UCSD.
Oct 07 2025
Our paper Gaussian Ensemble Topology (GET): A New Explicit and Inherently Smooth Framework for Manufacture-Ready Topology Optimization is now available on arXiv.
August 2025
🏆 Liu Yang has been awarded the prestigious Singapore National Research Foundation Fellowship (class of 2025), receiving over SGD 3 million in research funding. This highly competitive honor is granted to only about 10 researchers in Singapore each year.
Jun 15-18 2025
Liu Yang will participate UNCECOMP2025 in Rhodes, Greece. Let me know if you are around and interested in meeting up!
Apr 21 2025
Our paper Fine-tune language models as multi-modal differential equation solvers is published on Neural Networks.
Jul 31 2024
Our lab is officially starting, welcome new members!