Longbo Huang

Sichuan Agricultural University — China

Engineering · Physical Sciences

31h-index3.7kcitations226works0.72yr avg
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Research Topics

Advanced Wireless Network Optimization(47), Reinforcement Learning in Robotics(46), Advanced Bandit Algorithms Research(39), Age of Information Optimization(34), Advanced MIMO Systems Optimization(31)

Publications226 total

Beyond Static Populations: Efficient Delay-Constrained Scheduling for Dynamic Users via Deep Reinforcement Learning
2025Open Access
Finite-time Convergence Analysis of Actor-Critic with Evolving Reward
arXiv (Cornell University)·2025Open Access
Abnormal activation of platelets and inflammation in smoking-induced rheumatoid arthritis is alleviated by 3,3′-diindolylmethane
Genes and Immunity·2025
Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants
arXiv (Cornell University)·2025Open Access
OM2P: Offline Multi-Agent Mean-Flow Policy
arXiv (Cornell University)·2025Open Access
Reparameterization Proximal Policy Optimization
ArXiv.org·2025Open Access
Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks
ACM SIGMETRICS Performance Evaluation Review·2025
Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks
2025
Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking
arXiv (Cornell University)·2025Open Access
Continuous K-Max Bandits
arXiv (Cornell University)·2025Open Access
Beyond Shallow Behavior: Task-Efficient Value-Based Multi-Task Offline MARL via Skill Discovery
arXiv (Cornell University)·2025Open Access
Offline Critic-Guided Diffusion Policy for Multi-User Delay-Constrained Scheduling
arXiv (Cornell University)·2025Open Access
Corporate Political Social Capital, Financing Constraints and Firm Performance
Advances in economics, business and management research/Advances in Economics, Business and Management Research·2025Open Access
Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks
Proceedings of the ACM on Measurement and Analysis of Computing Systems·2024· 4 citedOpen Access
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
arXiv (Cornell University)·2024Open Access
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs
arXiv (Cornell University)·2024Open Access
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
arXiv (Cornell University)·2024Open Access
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training
arXiv (Cornell University)·2024Open Access
Offline Learning-Based Multi-User Delay-Constrained Scheduling
2024
Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Michael J. Neely(12), Ling Pan(7), Kannan Ramchandran(6), Qingpeng Cai(5), Zhixuan Fang(5), Jean Walrand(4), Kun Chen(3), Pingzhong Tang(3), Xin Liu(3), Hang Zhao(3), Yuan Yao(2), Leana Golubchik(2), Sameer Pawar(2), Hao Zhang(2), Adam Wierman(2), Scott Moeller(2), Bhaskar Krishnamachari(2), Shaoquan Zhang(2), Minghua Chen(2), Simian Luo(2)