Decision Intelligence Lab (DI Lab - 决策智能实验室) @IIIS-Tsinghua
AI for Decisions 为了更好地决策
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Welcome to the Decision Intelligence Lab (DI Lab - 决策智能实验室) @ IIIS-Tsinghua! The DI lab is dedicated to advancing the general field of decision intelligence, the intersection of decision making and artificial intelligence, by developing theory foundation and algorithmic solutions to decision making problems in general dynamical networked systems.
Our mission is to conduct impactful interdisciplinary research in artificial intelligence and decision making for networked systems, including algorithm design and analysis, optimization, and implementation, using state-of-the-art mathematical techniques and system technology. Our ultimate goal is to develop ultra-efficient, robust, risk-aware and explainable AI decision making algorithms and tools.
The current research topics include (see Research for recent highlights):
Learning-augmented network optimization 学习增强网络优化
Safe decision making 安全决策
Reinforcement learning theory 强化学习理论
Efficient deep reinforcement learning 高效深度强化学习
Diffusion/GFlowNets AIGC生成模型
Low-carbon decision intelligence 低碳决策智能
Lab Statistics:
5 Ph.D. alumni work in top-tier academic/research institutions: Tsinghua, HKUST(HK), SUTD(Singapore), MSR-Asia, Ant Research.
10+ Undergrads admitted to top schools including Caltech, CMU, MIT, Stanford, UC Berkeley etc.
Students & Postdoc (招生与博士后): I am constantly looking for highly motivated students (undergrad and graduate) and postdocs who are interested in the area of AI for Decisions (决策智能), including deep reinforcement learning, reinforcement learning theory, online learning, learning-augmented network optimization. Please email me if you are interested.
Recent News
[2025.11] Prof. Huang is invited to serve as an Area Chair for ICML 2026!
[2025.08] Prof. Huang is invited to serve as an Area Chair for ICLR 2026!
[2025.06] Paper “Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks” received the best paper award from ACM Sigmetrics 2025!
[2025.06] Prof. Huang is invited to serve as the TPC Co-Chair for ACM Sigmetrics 2027!
[2025.05] Paper ‘‘Finite-Time Analysis of Discrete-Time Stochastic Interpolants’’ accepted to ICML 2025!
[2025.02] Congratulations to group alumni Dr. Yihan Du for joining Singapore University of Technology and Design (SUTD) as a tenure-track assistant professor!
[2025.01] Three papers accepted to ICLR 2025 (Two spotlights)!
[2024.09] Paper ‘‘Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks’’ accepted to Sigmetrics 2025!
[2024.09] Paper ‘‘Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training’’ accepted to NeurIPS 2024!
[2024.05] Three papers accepted to ICML 2024!
[2024.02] Paper “When Lyapunov Drift Based Queue Scheduling Meets Adversarial Bandit Learning” accepted to IEEE/ACM Transactions on Networking!
[2024.01] Prof. Huang is invited to serve as the TPC Co-Chair for IEEE WiOpt 2024. Please consider submitting your work!
[2024.01] Prof. Huang is invited to serve as an area chair for UAI 2024! Please consider submitting your work!
[2024.01] Two papers accepted to ICLR 2024!
[2023.12] Paper “Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning” accepted to IEEE/ACM Transactions on Networking!
[2023.08] Congratulations to Dr. Pan Ling for joining ECE@HKUST as a tenure-track Assistant Professor in Spring 2024!
Contact
Longbo Huang
FIT Building, Room 1-208
Tsinghua University
Beijing, China, 100084
Email: longbohuang AT tsinghua.edu.cn