Longbo Huang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 154

Top Venues

CoRR

NeurIPS

IEEE/ACM Trans. Netw.

ICLR

Publications

Xinran Gu, Kaifeng Lyu, Sanjeev Arora, Jingzhao Zhang, Longbo Huang
A Quadratic Synchronization Rule for Distributed Deep Learning. ICLR (2024)
Tonghe Zhang, Yu Chen, Longbo Huang
Provably Efficient Partially Observable Risk-Sensitive Reinforcement Learning with Hindsight Observation. CoRR (2024)
Pihe Hu, Yu Chen, Ling Pan, Zhixuan Fang, Fu Xiao, Longbo Huang
Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning. IEEE/ACM Trans. Netw. 32 (3) (2024)
Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation. CoRR (2024)
Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback. ICLR (2024)
Boning Li, Zhixuan Fang, Longbo Huang
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. CoRR (2024)
Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. CoRR (2023)
Jiatai Huang, Leana Golubchik, Longbo Huang
Queue Scheduling with Adversarial Bandit Learning. CoRR (2023)
Pihe Hu, Yu Chen, Longbo Huang
Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs. ICLR (2023)
Jiatai Huang, Yan Dai, Longbo Huang
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning. ICML (2023)
Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation. CoRR (2023)
Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. AAAI (2023)
Yihan Du, Siwei Wang, Longbo Huang
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path. ICLR (2023)
Xinran Gu, Kaifeng Lyu, Longbo Huang, Sanjeev Arora
Why (and When) does Local SGD Generalize Better than SGD? CoRR (2023)
Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio
Stochastic Generative Flow Networks. CoRR (2023)
Jiatai Huang, Longbo Huang
Learning-based Optimal Quantum Switch Scheduling. SIGMETRICS Perform. Evaluation Rev. 51 (2) (2023)
Xinran Gu, Kaifeng Lyu, Sanjeev Arora, Jingzhao Zhang, Longbo Huang
A Quadratic Synchronization Rule for Distributed Deep Learning. CoRR (2023)
Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. ICLR (2023)
Yiqin Tan, Ling Pan, Longbo Huang
One is More: Diverse Perspectives within a Single Network for Efficient DRL. CoRR (2023)
Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang
Collaborative Pure Exploration in Kernel Bandit. ICLR (2023)
Yihan Du, Longbo Huang, Wen Sun
Multi-task Representation Learning for Pure Exploration in Linear Bandits. ICML (2023)
Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, Hang Zhao
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference. CoRR (2023)
Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio
Generative Augmented Flow Networks. ICLR (2023)
Nuoya Xiong, Yihan Du, Longbo Huang
Provably Safe Reinforcement Learning with Step-wise Violation Constraints. NeurIPS (2023)
Yihan Du, Longbo Huang, Wen Sun
Multi-task Representation Learning for Pure Exploration in Linear Bandits. CoRR (2023)
Zhuoran Li, Ling Pan, Longbo Huang
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning. CoRR (2023)
Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu, Patrick von Platen, Apolinário Passos, Longbo Huang, Jian Li, Hang Zhao
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module. CoRR (2023)
Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio
Stochastic Generative Flow Networks. UAI (2023)
Yu Huang, Yuan Cheng, Yingbin Liang, Longbo Huang
Online Min-max Problems with Non-convexity and Non-stationarity. Trans. Mach. Learn. Res. 2023 (2023)
Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang
Network Topology Optimization via Deep Reinforcement Learning. IEEE Trans. Commun. 71 (5) (2023)
Jiatai Huang, Yan Dai, Longbo Huang
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning. CoRR (2023)
Xinran Gu, Kaifeng Lyu, Longbo Huang, Sanjeev Arora
Why (and When) does Local SGD Generalize Better than SGD? ICLR (2023)
Yu Huang, Yingbin Liang, Longbo Huang
Provable Generalization of Overparameterized Meta-learning Trained with SGD. NeurIPS (2022)
Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. ICML (2022)
Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). CoRR (2022)
Pihe Hu, Yu Chen, Longbo Huang
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation. CoRR (2022)
Kangwook Lee, Nihar B. Shah, Longbo Huang, Kannan Ramchandran
Addendum and Erratum to "The MDS Queue: Analysing the Latency Performance of Erasure Codes". IEEE Trans. Inf. Theory 68 (9) (2022)
Jiatai Huang, Yan Dai, Longbo Huang
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits. ICML (2022)
Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang
Network Topology Optimization via Deep Reinforcement Learning. CoRR (2022)
Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang
Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning. MobiHoc (2022)
Yihan Du, Siwei Wang, Longbo Huang
Dueling Bandits: From Two-dueling to Multi-dueling. CoRR (2022)
Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). ICML (2022)
Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning. CoRR (2022)
Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang, Longbo Huang
Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. CIKM (2022)
Pihe Hu, Yu Chen, Longbo Huang
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation. ICML (2022)
Tianyi Hao, Jingbo Zhou, Yunsheng Cheng, Longbo Huang, Haishan Wu
A Unified Framework for User Identification Across Online and Offline Data. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Yihan Du, Siwei Wang, Longbo Huang
Risk-Sensitive Reinforcement Learning: Iterated CVaR and the Worst Path. CoRR (2022)
Jiatai Huang, Yan Dai, Longbo Huang
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits. CoRR (2022)
Hongyi Zhou, Kefan Lv, Longbo Huang, Xiongfeng Ma
Quantum Network: Security Assessment and Key Management. IEEE/ACM Trans. Netw. 30 (3) (2022)
Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang
Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints. SIGMETRICS Perform. Evaluation Rev. 49 (3) (2022)
Yu Huang, Yingbin Liang, Longbo Huang
Provable Generalization of Overparameterized Meta-learning Trained with SGD. CoRR (2022)
Yiqin Tan, Pihe Hu, Ling Pan, Longbo Huang
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. CoRR (2022)
Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio
Generative Augmented Flow Networks. CoRR (2022)
Yihan Du, Siwei Wang, Longbo Huang
A One-Size-Fits-All Solution to Conservative Bandit Problems. AAAI (2021)
Siwei Wang, Haoyun Wang, Longbo Huang
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. AAAI (2021)
Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework. AAAI (2021)
Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. CoRR (2021)
Tiancheng Jin, Longbo Huang, Haipeng Luo
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition. NeurIPS (2021)
Ling Pan, Qingpeng Cai, Longbo Huang
Exploration in policy optimization through multiple paths. Auton. Agents Multi Agent Syst. 35 (2) (2021)
Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang
Simultaneously achieving sublinear regret and constraint violations for online convex optimization with time-varying constraints. Perform. Evaluation 152 (2021)
Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang
What Makes Multi-Modal Learning Better than Single (Provably). NeurIPS (2021)
Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang
Fast Federated Learning in the Presence of Arbitrary Device Unavailability. CoRR (2021)
Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang
Fast Federated Learning in the Presence of Arbitrary Device Unavailability. NeurIPS (2021)
Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang
What Makes Multimodal Learning Better than Single (Provably). CoRR (2021)
Jiatai Huang, Longbo Huang
Robust Wireless Scheduling under Arbitrary Channel Dynamics and Feedback Delay (Invited Paper). ITC (2021)
Jiatai Huang, Yan Dai, Longbo Huang
Scale-Free Adversarial Multi-Armed Bandit with Arbitrary Feedback Delays. CoRR (2021)
Tiancheng Jin, Longbo Huang, Haipeng Luo
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition. CoRR (2021)
Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
Regularized Softmax Deep Multi-Agent Q-Learning. NeurIPS (2021)
Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
Continuous Mean-Covariance Bandits. CoRR (2021)
Jiatai Huang, Longbo Huang
Banker Online Mirror Descent. CoRR (2021)
Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang
Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints. CoRR (2021)
Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning. CoRR (2021)
Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
Multi-Agent Reinforcement Learning in Stochastic Networked Systems. NeurIPS (2021)
Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang
Collaborative Pure Exploration in Kernel Bandit. CoRR (2021)
Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
Continuous Mean-Covariance Bandits. NeurIPS (2021)
Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao
Combinatorial Pure Exploration of Dueling Bandit. CoRR (2020)
Yihan Du, Siwei Wang, Longbo Huang
Dueling Bandits: From Two-dueling to Multi-dueling. AAMAS (2020)
Yu Huang, Longbo Huang
Heavy Traffic Analysis of Approximate Max-Weight Matching Algorithms for Input-Queued Switches. SIGMETRICS Perform. Evaluation Rev. 48 (3) (2020)
Ling Pan, Qingpeng Cai, Longbo Huang
Multi-Path Policy Optimization. AAMAS (2020)
Yu Huang, Longbo Huang
Heavy traffic analysis of approximate max-weight matching algorithms for input-queued switches. Perform. Evaluation 144 (2020)
Yihan Du, Siwei Wang, Longbo Huang
A One-Size-Fits-All Solution to Conservative Bandit Problems. CoRR (2020)
Longbo Huang
Fast-Convergent Learning-Aided Control in Energy Harvesting Networks. IEEE Trans. Mob. Comput. 19 (12) (2020)
Siwei Wang, Longbo Huang, John C. S. Lui
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits. CoRR (2020)
Zhixuan Fang, Longbo Huang, Adam Wierman
Loyalty programs in the sharing economy: Optimality and competition. Perform. Evaluation 143 (2020)
Yuxing Li, Hu Zheng, Chengqiang Huang, Ke Pei, Jinghui Li, Longbo Huang
Terminator: An Efficient and Light-weight Fault Localization Framework. INFOCOM Workshops (2020)
Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
Distributed Reinforcement Learning in Multi-Agent Networked Systems. CoRR (2020)
Siwei Wang, Haoyun Wang, Longbo Huang
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. CoRR (2020)
Siwei Wang, Longbo Huang, John C. S. Lui
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits. NeurIPS (2020)
Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li
Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL. CoRR (2020)
Ling Pan, Qingpeng Cai, Longbo Huang
Softmax Deep Double Deterministic Policy Gradients. CoRR (2020)
Longbo Huang, Yuxing Li, Jean C. Walrand
RTCP - Reduce Delay Variability with an End-to-end Approach. Networking (2020)
Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. IJCAI (2020)
Ling Pan, Qingpeng Cai, Longbo Huang
Softmax Deep Double Deterministic Policy Gradients. NeurIPS (2020)
Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao
Combinatorial Pure Exploration for Dueling Bandit. ICML (2020)
Hongyi Zhou, Kefan Lv, Longbo Huang, Xiongfeng Ma
Security assessment and key management in a quantum network. CoRR (2019)
Yue Yu, Jiaxiang Wu, Longbo Huang
Double Quantization for Communication-Efficient Distributed Optimization. NeurIPS (2019)
Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. AAAI (2019)
Ling Pan, Qingpeng Cai, Longbo Huang
Multi-Path Policy Optimization. CoRR (2019)
Zhixuan Fang, Longbo Huang, Adam Wierman
Prices and subsidies in the sharing economy. Perform. Evaluation 136 (2019)
Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Longbo Huang