Generative AI Agents at DeepLearn 2026
An advanced summer-school course on agent architectures, reasoning, alignment, safety, and world models.
Lab notebook
News
Research releases, talks, student milestones, awards, and other signals from Furong Lab.
Building Self-Improving Foundation Models
Auditors, actuators, and amplifiers for trustworthy AI.
Reasoning as Control
Adaptive test-time compute for planning agents.
Seven papers accepted to ICML 2026
Work spanning reasoning, safety, multimodal systems, scientific prediction, and multi-agent learning.
PropensityBench adopted in Meta Muse
The agentic safety benchmark is used in the released Muse Spark MSL model.
TraceGen accepted to CVPR 2026
World modeling in 3D trace space for cross-embodiment robot learning.
Five papers accepted to ICLR 2026
Including MomaGraph, selected for an oral presentation.
AAAI 2026 oral
One paper accepted and selected for an oral presentation.
Four papers accepted to NeurIPS 2025
Including one spotlight presentation.
World-model learning for generalist agents
Keynote at the RLC workshop on Reinforcement Learning Beyond Rewards.
Computer Vision in the Wild
Keynote at the fourth CVPR Workshop on Computer Vision in the Wild.
Test-Time Thinking for Trust
Keynote at the second Texas Colloquium on Distributed Learning on enhancing generative AI agents.
Erasing the Invisible
Keynote at the ICLR Generative AI Watermarking Workshop on stress-testing watermark robustness.
World models for sequential decision-making
Keynote at the ICLR World Models Workshop on learning foundation models for action.
Towards Generative AI Security
Keynote at the New York Academy of Sciences Annual Machine Learning Symposium on stress-testing and alignment.
Promotion to associate professor with tenure
Promotion in the University of Maryland Department of Computer Science, effective July 1, 2024.
Integrity in AI at the U.S. SEC
A talk for the SEC AI Community of Practice on multimodal approaches to misinformation and content authenticity.
AskScience AMA on artificial intelligence
A public Reddit discussion about machine learning, trustworthy AI, and current research questions.
NSF–Amazon Fairness in AI PI Meeting
Chair and organizer of the Fairness in Artificial Intelligence principal-investigator meeting.
Trustworthy Machine Learning in an Ever-Changing World
University of Maryland Department of Computer Science colloquium.
This curated archive emphasizes consequential releases, invited talks, recognition, career milestones, public engagement, and academic service.