Longbo Huang - RankMe

230 papers A* 53A 9B 20Misc 1Journal 130Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Best-of-Both-Worlds for Heavy-Tailed Markov Decision Processes. CoRR Yu Chen, Yuhao Liu, Jiatai Huang, Yihan Du, Longbo Huang
2026	J	`jnl`	Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies. CoRR Zhuoran Li, Hai Zhong, Xun Wang, Qingxin Xia, Lihua Zhang, Longbo Huang
2026	J	`jnl`	PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching. CoRR Ruishuo Chen, Yu Chen, Zhuoran Li, Longbo Huang
2026	J	`jnl`	Reparameterization Flow Policy Optimization. CoRR Hai Zhong, Zhuoran Li, Xun Wang, Longbo Huang
2025	—	`conf`	Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks. SIGMETRICS (Abstracts) Yan Dai, Longbo Huang
2025	A*	`conf`	Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks. ICLR Rui Hu, Yifan Zhang, Zhuoran Li, Longbo Huang
2025	B	`conf`	Beyond Static Populations: Efficient Delay-Constrained Scheduling for Dynamic Users via Deep Reinforcement Learning. MobiHoc Xun Wang, Zhuoran Li, Longbo Huang
2025	J	`jnl`	Continuous K-Max Bandits. CoRR Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
2025	A*	`conf`	Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games. ICLR Boning Li, Longbo Huang
2025	J	`jnl`	Few is More: Task-Efficient Skill-Discovery for Multi-Task Offline Multi-Agent Reinforcement Learning. CoRR Xun Wang, Zhuoran Li, Hai Zhong, Longbo Huang
2025	A*	`conf`	Finite-Time Analysis of Discrete-Time Stochastic Interpolants. ICML Yuhao Liu, Yu Chen, Rui Hu, Longbo Huang
2025	J	`jnl`	Finite-Time Analysis of Discrete-Time Stochastic Interpolants. CoRR Yuhao Liu, Yu Chen, Rui Hu, Longbo Huang
2025	J	`jnl`	Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants. CoRR Yuhao Liu, Rui Hu, Yu Chen, Longbo Huang
2025	J	`jnl`	Finite-time Convergence Analysis of Actor-Critic with Evolving Reward. CoRR Rui Hu, Yu Chen, Longbo Huang
2025	J	`jnl`	From Solo to Symphony: Orchestrating Multi-Agent Collaboration with Single-Agent Demos. CoRR Xun Wang, Zhuoran Li, Yanshan Lin, Hai Zhong, Longbo Huang
2025	J	`jnl`	Layer-Aware Influence for Online Data Valuation Estimation. CoRR Ziao Yang, Longbo Huang, Hongfu Liu
2025	J	`jnl`	Mixed Sparsity Training: Achieving 4× FLOP Reduction for Transformer Pretraining. Trans. Mach. Learn. Res. Pihe Hu, Shaolong Li, Xun Wang, Longbo Huang
2025	J	`jnl`	OM2P: Offline Multi-Agent Mean-Flow Policy. CoRR Zhuoran Li, Xun Wang, Hai Zhong, Longbo Huang
2025	J	`jnl`	Offline Critic-Guided Diffusion Policy for Multi-User Delay-Constrained Scheduling. CoRR Zhuoran Li, Ruishuo Chen, Hai Zhong, Longbo Huang
2025	A	`conf`	Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration. AAMAS Hai Zhong, Xun Wang, Zhuoran Li, Longbo Huang
2025	J	`jnl`	Proxy-Free GFlowNet. CoRR Ruishuo Chen, Xun Wang, Rui Hu, Zhuoran Li, Longbo Huang
2025	J	`jnl`	Reparameterization Proximal Policy Optimization. CoRR Hai Zhong, Xun Wang, Zhuoran Li, Longbo Huang
2025	A	`conf`	Tackling Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement Learning. AAMAS Jiaxuan Jiang, Ling Pan, Lin Zhou, Longbo Huang, Zhixuan Fang
2025	A*	`conf`	uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs. ICLR Yu Chen, Jiatai Huang, Yan Dai, Longbo Huang
2024	A*	`conf`	A Quadratic Synchronization Rule for Distributed Deep Learning. ICLR Xinran Gu, Kaifeng Lyu, Sanjeev Arora, Jingzhao Zhang, Longbo Huang
2024	J	`jnl`	Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks. CoRR Yan Dai, Longbo Huang
2024	J	`jnl`	Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks. Proc. ACM Meas. Anal. Comput. Syst. Yan Dai, Longbo Huang
2024	J	`jnl`	Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks. CoRR Rui Hu, Yifan Zhang, Zhuoran Li, Longbo Huang
2024	J	`jnl`	Mixed Sparsity Training: Achieving 4⨉ FLOP Reduction for Transformer Pretraining. CoRR Pihe Hu, Shaolong Li, Longbo Huang
2024	J	`jnl`	Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning. IEEE/ACM Trans. Netw. Pihe Hu, Yu Chen, Ling Pan, Zhixuan Fang, Fu Xiao, Longbo Huang
2024	J	`jnl`	Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration. CoRR Hai Zhong, Xun Wang, Zhuoran Li, Longbo Huang
2024	A*	`conf`	Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation. ICML Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
2024	J	`jnl`	Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation. CoRR Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
2024	A*	`conf`	Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback. ICLR Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
2024	J	`jnl`	Provably Efficient Partially Observable Risk-Sensitive Reinforcement Learning with Hindsight Observation. CoRR Tonghe Zhang, Yu Chen, Longbo Huang
2024	A*	`conf`	Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation. ICML Tonghe Zhang, Yu Chen, Longbo Huang
2024	A*	`conf`	RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. ICML Boning Li, Zhixuan Fang, Longbo Huang
2024	J	`jnl`	RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. CoRR Boning Li, Zhixuan Fang, Longbo Huang
2024	A*	`conf`	Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training. NeurIPS Pihe Hu, Shaolong Li, Zhuoran Li, Ling Pan, Longbo Huang
2024	J	`jnl`	Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training. CoRR Pihe Hu, Shaolong Li, Zhuoran Li, Ling Pan, Longbo Huang
2024	J	`jnl`	When Lyapunov Drift Based Queue Scheduling Meets Adversarial Bandit Learning. IEEE/ACM Trans. Netw. Jiatai Huang, Leana Golubchik, Longbo Huang
2024	J	`jnl`	uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs. CoRR Yu Chen, Jiatai Huang, Yan Dai, Longbo Huang
2023	J	`jnl`	A Quadratic Synchronization Rule for Distributed Deep Learning. CoRR Xinran Gu, Kaifeng Lyu, Sanjeev Arora, Jingzhao Zhang, Longbo Huang
2023	A*	`conf`	Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning. ICML Jiatai Huang, Yan Dai, Longbo Huang
2023	J	`jnl`	Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning. CoRR Jiatai Huang, Yan Dai, Longbo Huang
2023	J	`jnl`	Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning. CoRR Zhuoran Li, Ling Pan, Longbo Huang
2023	A*	`conf`	Collaborative Pure Exploration in Kernel Bandit. ICLR Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang
2023	A*	`conf`	Generative Augmented Flow Networks. ICLR Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio
2023	J	`jnl`	LCM-LoRA: A Universal Stable-Diffusion Acceleration Module. CoRR Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu, Patrick von Platen, Apolinário Passos, Longbo Huang, Jian Li, Hang Zhao
2023	J	`jnl`	Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference. CoRR Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, Hang Zhao
2023	J	`jnl`	Learning-based Optimal Quantum Switch Scheduling. SIGMETRICS Perform. Evaluation Rev. Jiatai Huang, Longbo Huang
2023	A*	`conf`	Multi-task Representation Learning for Pure Exploration in Linear Bandits. ICML Yihan Du, Longbo Huang, Wen Sun
2023	J	`jnl`	Multi-task Representation Learning for Pure Exploration in Linear Bandits. CoRR Yihan Du, Longbo Huang, Wen Sun
2023	J	`jnl`	Network Topology Optimization via Deep Reinforcement Learning. IEEE Trans. Commun. Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang
2023	J	`jnl`	One is More: Diverse Perspectives within a Single Network for Efficient DRL. CoRR Yiqin Tan, Ling Pan, Longbo Huang
2023	J	`jnl`	Online Min-max Problems with Non-convexity and Non-stationarity. Trans. Mach. Learn. Res. Yu Huang, Yuan Cheng, Yingbin Liang, Longbo Huang
2023	A*	`conf`	Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path. ICLR Yihan Du, Siwei Wang, Longbo Huang
2023	A*	`conf`	Provably Safe Reinforcement Learning with Step-wise Violation Constraints. NeurIPS Nuoya Xiong, Yihan Du, Longbo Huang
2023	J	`jnl`	Provably Safe Reinforcement Learning with Step-wise Violation Constraints. CoRR Nuoya Xiong, Yihan Du, Longbo Huang
2023	J	`jnl`	Queue Scheduling with Adversarial Bandit Learning. CoRR Jiatai Huang, Leana Golubchik, Longbo Huang
2023	A*	`conf`	RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. ICLR Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang
2023	A*	`conf`	RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. AAAI Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang
2023	J	`jnl`	RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. CoRR Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang
2023	A	`conf`	Stochastic Generative Flow Networks. UAI Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio
2023	J	`jnl`	Stochastic Generative Flow Networks. CoRR Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio
2023	A*	`conf`	Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs. ICLR Pihe Hu, Yu Chen, Longbo Huang
2023	A*	`conf`	Why (and When) does Local SGD Generalize Better than SGD? ICLR Xinran Gu, Kaifeng Lyu, Longbo Huang, Sanjeev Arora
2023	J	`jnl`	Why (and When) does Local SGD Generalize Better than SGD? CoRR Xinran Gu, Kaifeng Lyu, Longbo Huang, Sanjeev Arora
2022	J	`jnl`	A Unified Framework for User Identification Across Online and Offline Data. IEEE Trans. Knowl. Data Eng. Tianyi Hao, Jingbo Zhou, Yunsheng Cheng, Longbo Huang, Haishan Wu
2022	A*	`conf`	Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits. ICML Jiatai Huang, Yan Dai, Longbo Huang
2022	J	`jnl`	Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits. CoRR Jiatai Huang, Yan Dai, Longbo Huang
2022	J	`jnl`	Addendum and Erratum to "The MDS Queue: Analysing the Latency Performance of Erasure Codes". IEEE Trans. Inf. Theory Kangwook Lee, Nihar B. Shah, Longbo Huang, Kannan Ramchandran
2022	J	`jnl`	Dueling Bandits: From Two-dueling to Multi-dueling. CoRR Yihan Du, Siwei Wang, Longbo Huang
2022	J	`jnl`	Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning. CoRR Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang
2022	B	`conf`	Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning. MobiHoc Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang
2022	J	`jnl`	Generative Augmented Flow Networks. CoRR Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio
2022	A	`conf`	Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. CIKM Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang, Longbo Huang
2022	A*	`conf`	Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). ICML Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang
2022	J	`jnl`	Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). CoRR Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang
2022	A*	`conf`	Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation. ICML Pihe Hu, Yu Chen, Longbo Huang
2022	J	`jnl`	Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation. CoRR Pihe Hu, Yu Chen, Longbo Huang
2022	J	`jnl`	Network Topology Optimization via Deep Reinforcement Learning. CoRR Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang
2022	A*	`conf`	Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. ICML Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
2022	A*	`conf`	Provable Generalization of Overparameterized Meta-learning Trained with SGD. NeurIPS Yu Huang, Yingbin Liang, Longbo Huang
2022	J	`jnl`	Provable Generalization of Overparameterized Meta-learning Trained with SGD. CoRR Yu Huang, Yingbin Liang, Longbo Huang
2022	J	`jnl`	Quantum Network: Security Assessment and Key Management. IEEE/ACM Trans. Netw. Hongyi Zhou, Kefan Lv, Longbo Huang, Xiongfeng Ma
2022	J	`jnl`	RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. CoRR Yiqin Tan, Pihe Hu, Ling Pan, Longbo Huang
2022	J	`jnl`	Risk-Sensitive Reinforcement Learning: Iterated CVaR and the Worst Path. CoRR Yihan Du, Siwei Wang, Longbo Huang
2022	J	`jnl`	Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints. SIGMETRICS Perform. Evaluation Rev. Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang
2021	A*	`conf`	A One-Size-Fits-All Solution to Conservative Bandit Problems. AAAI Yihan Du, Siwei Wang, Longbo Huang
2021	A*	`conf`	Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. AAAI Siwei Wang, Haoyun Wang, Longbo Huang
2021	J	`jnl`	Collaborative Pure Exploration in Kernel Bandit. CoRR Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang
2021	A*	`conf`	Continuous Mean-Covariance Bandits. NeurIPS Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
2021	J	`jnl`	Continuous Mean-Covariance Bandits. CoRR Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
2021	A*	`conf`	Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework. AAAI Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li
2021	J	`jnl`	Exploration in policy optimization through multiple paths. Auton. Agents Multi Agent Syst. Ling Pan, Qingpeng Cai, Longbo Huang
2021	A*	`conf`	Fast Federated Learning in the Presence of Arbitrary Device Unavailability. NeurIPS Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang
2021	J	`jnl`	Fast Federated Learning in the Presence of Arbitrary Device Unavailability. CoRR Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang
2021	A*	`conf`	Multi-Agent Reinforcement Learning in Stochastic Networked Systems. NeurIPS Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
2021	J	`jnl`	Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. CoRR Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
2021	A*	`conf`	Regularized Softmax Deep Multi-Agent Q-Learning. NeurIPS Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
2021	A	`conf`	Robust Wireless Scheduling under Arbitrary Channel Dynamics and Feedback Delay (Invited Paper). ITC Jiatai Huang, Longbo Huang
2021	—	`ed.`	SIGMETRICS '21: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Virtual Event, China, June 14-18, 2021. SIGMETRICS Longbo Huang, Anshul Gandhi, Negar Kiyavash, Jia Wang
2021	J	`jnl`	Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints. CoRR Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang
2021	J	`jnl`	Simultaneously achieving sublinear regret and constraint violations for online convex optimization with time-varying constraints. Perform. Evaluation Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang
2021	J	`jnl`	Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning. CoRR Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
2021	A*	`conf`	The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition. NeurIPS Tiancheng Jin, Longbo Huang, Haipeng Luo
2021	J	`jnl`	The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition. CoRR Tiancheng Jin, Longbo Huang, Haipeng Luo
2021	A*	`conf`	What Makes Multi-Modal Learning Better than Single (Provably). NeurIPS Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang
2021	J	`jnl`	What Makes Multimodal Learning Better than Single (Provably). CoRR Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang
2020	J	`jnl`	A One-Size-Fits-All Solution to Conservative Bandit Problems. CoRR Yihan Du, Siwei Wang, Longbo Huang
2020	J	`jnl`	Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. CoRR Siwei Wang, Haoyun Wang, Longbo Huang
2020	A*	`conf`	Combinatorial Pure Exploration for Dueling Bandit. ICML Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao
2020	J	`jnl`	Combinatorial Pure Exploration of Dueling Bandit. CoRR Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao
2020	J	`jnl`	Distributed Reinforcement Learning in Multi-Agent Networked Systems. CoRR Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
2020	A	`conf`	Dueling Bandits: From Two-dueling to Multi-dueling. AAMAS Yihan Du, Siwei Wang, Longbo Huang
2020	J	`jnl`	Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL. CoRR Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li
2020	J	`jnl`	Fast-Convergent Learning-Aided Control in Energy Harvesting Networks. IEEE Trans. Mob. Comput. Longbo Huang
2020	J	`jnl`	Heavy Traffic Analysis of Approximate Max-Weight Matching Algorithms for Input-Queued Switches. SIGMETRICS Perform. Evaluation Rev. Yu Huang, Longbo Huang
2020	J	`jnl`	Heavy traffic analysis of approximate max-weight matching algorithms for input-queued switches. Perform. Evaluation Yu Huang, Longbo Huang
2020	J	`jnl`	Loyalty programs in the sharing economy: Optimality and competition. Perform. Evaluation Zhixuan Fang, Longbo Huang, Adam Wierman
2020	A	`conf`	Multi-Path Policy Optimization. AAMAS Ling Pan, Qingpeng Cai, Longbo Huang
2020	B	`conf`	RTCP - Reduce Delay Variability with an End-to-end Approach. Networking Longbo Huang, Yuxing Li, Jean C. Walrand
2020	A*	`conf`	Reinforcement Learning with Dynamic Boltzmann Softmax Updates. IJCAI Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang
2020	A*	`conf`	Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits. NeurIPS Siwei Wang, Longbo Huang, John C. S. Lui
2020	J	`jnl`	Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits. CoRR Siwei Wang, Longbo Huang, John C. S. Lui
2020	A*	`conf`	Softmax Deep Double Deterministic Policy Gradients. NeurIPS Ling Pan, Qingpeng Cai, Longbo Huang
2020	J	`jnl`	Softmax Deep Double Deterministic Policy Gradients. CoRR Ling Pan, Qingpeng Cai, Longbo Huang
2020	—	`conf`	Terminator: An Efficient and Light-weight Fault Localization Framework. INFOCOM Workshops Yuxing Li, Hu Zheng, Chengqiang Huang, Ke Pei, Jinghui Li, Longbo Huang
2019	A*	`conf`	A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. AAAI Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang
2019	A*	`conf`	Double Quantization for Communication-Efficient Distributed Optimization. NeurIPS Yue Yu, Jiaxiang Wu, Longbo Huang
2019	—	`ed.`	Game Theory for Networks - 8th International EAI Conference, GameNets 2019, Paris, France, April 25-26, 2019, Proceedings GAMENETS Konstantin Avrachenkov, Longbo Huang, Jason R. Marden, Marceau Coupechoux, Anastasios Giovanidis
2019	J	`jnl`	Multi-Path Policy Optimization. CoRR Ling Pan, Qingpeng Cai, Longbo Huang
2019	J	`jnl`	Prices and subsidies in the sharing economy. Perform. Evaluation Zhixuan Fang, Longbo Huang, Adam Wierman
2019	J	`jnl`	Reinforcement Learning with Dynamic Boltzmann Softmax Updates. CoRR Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu
2019	J	`jnl`	Security assessment and key management in a quantum network. CoRR Hongyi Zhou, Kefan Lv, Longbo Huang, Xiongfeng Ma
2018	J	`jnl`	A New Analysis of Variance Reduced Stochastic Proximal Methods for Composite Optimization with Serial and Asynchronous Realizations. CoRR Yue Yu, Longbo Huang
2018	A*	`conf`	A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks. IJCAI Tianyi Hao, Longbo Huang
2018	A*	`conf`	Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback. IJCAI Kun Chen, Kechao Cai, Longbo Huang, John C. S. Lui
2018	J	`jnl`	Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback. CoRR Kun Chen, Kechao Cai, Longbo Huang, John C. S. Lui
2018	J	`jnl`	Learning-Aided Stochastic Network Optimization With State Prediction. IEEE/ACM Trans. Netw. Longbo Huang, Minghua Chen, Yunxin Liu
2018	B	`conf`	Loyalty Programs in the Sharing Economy: Optimality and Competition. MobiHoc Zhixuan Fang, Longbo Huang, Adam Wierman
2018	J	`jnl`	Loyalty Programs in the Sharing Economy: Optimality and Competition. CoRR Zhixuan Fang, Longbo Huang, Adam Wierman
2018	A*	`conf`	Multi-armed Bandits with Compensation. NeurIPS Siwei Wang, Longbo Huang
2018	J	`jnl`	Multi-armed Bandits with Compensation. CoRR Siwei Wang, Longbo Huang
2018	J	`jnl`	Rebalancing Dockless Bike Sharing Systems. CoRR Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang
2018	J	`jnl`	Timely-Throughput Optimal Scheduling With Prediction. IEEE/ACM Trans. Netw. Kun Chen, Longbo Huang
2018	A*	`conf`	Timely-Throughput Optimal Scheduling with Prediction. INFOCOM Kun Chen, Longbo Huang
2018	J	`jnl`	Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables. IEEE Trans. Smart Grid Xin Wang, Xiaojing Chen, Tianyi Chen, Longbo Huang, Georgios B. Giannakis
2017	A*	`conf`	Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization. IJCAI Yue Yu, Longbo Huang
2017	J	`jnl`	Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization. CoRR Yue Yu, Longbo Huang
2017	J	`jnl`	Human-in-the-Loop Mobile Networks: A Survey of Recent Advancements. IEEE J. Sel. Areas Commun. Lingjie Duan, Longbo Huang, Cedric Langbort, Alexey Pozdnukhov, Jean C. Walrand, Lin Zhang
2017	J	`jnl`	Intelligence of Smart Systems: Model, Bounds, and Algorithms. IEEE/ACM Trans. Netw. Longbo Huang
2017	B	`conf`	Learning-aided Stochastic Network Optimization with Imperfect State Prediction. MobiHoc Longbo Huang, Minghua Chen, Yunxin Liu
2017	J	`jnl`	Learning-aided Stochastic Network Optimization with Imperfect State Prediction. CoRR Longbo Huang, Minghua Chen, Yunxin Liu
2017	A*	`conf`	Multi-level Feedback Web Links Selection Problem: Learning and Optimization. ICDM Kechao Cai, Kun Chen, Longbo Huang, John C. S. Lui
2017	J	`jnl`	Multi-level Feedback Web Links Selection Problem: Learning and Optimization. CoRR Kechao Cai, Kun Chen, Longbo Huang, John C. S. Lui
2017	J	`jnl`	Optimal Sleep-Wake Scheduling for Energy Harvesting Smart Mobile Devices. IEEE Trans. Mob. Comput. Longbo Huang
2017	A*	`conf`	Prices and Subsidies in the Sharing Economy. WWW Zhixuan Fang, Longbo Huang, Adam Wierman
2017	J	`jnl`	Proactive Serving Decreases User Delay Exponentially: The Light-Tailed Service Time Case. IEEE/ACM Trans. Netw. Shaoquan Zhang, Longbo Huang, Minghua Chen, Xin Liu
2017	J	`jnl`	The MDS Queue: Analysing the Latency Performance of Erasure Codes. IEEE Trans. Inf. Theory Kangwook Lee, Nihar B. Shah, Longbo Huang, Kannan Ramchandran
2017	J	`jnl`	The Value-of-Information in Matching With Queues. IEEE/ACM Trans. Netw. Longbo Huang
2017	J	`jnl`	Time-Average Optimization With Nonconvex Decision Set and Its Convergence. IEEE Trans. Autom. Control. Sucha Supittayapornpong, Longbo Huang, Michael J. Neely
2017	J	`jnl`	Timely-Throughput Optimal Scheduling with Prediction. CoRR Kun Chen, Longbo Huang
2016	J	`jnl`	A multi-layer market for vehicle-to-grid energy trading in the smart grid. CoRR Albert Y. S. Lam, Longbo Huang, Alonso Silva, Walid Saad
2016	J	`jnl`	Age-of-Information in the Presence of Error. CoRR Kun Chen, Longbo Huang
2016	B	`conf`	Age-of-information in the presence of error. ISIT Kun Chen, Longbo Huang
2016	J	`jnl`	Boosting Sharing Economy: Social Welfare or Revenue Driven? CoRR Zhixuan Fang, Longbo Huang
2016	A	`conf`	Increasing large-scale data center capacity by statistical power control. EuroSys Guosai Wang, Shuhao Wang, Bing Luo, Weisong Shi, Yinghang Zhu, Wenjun Yang, Dianming Hu, Longbo Huang, Xin Jin, Wei Xu
2016	B	`conf`	Learning-aided scheduling for mobile virtual network operators with QoS constraints. WiOpt Tianxiao Zhang, Huasen Wu, Xin Liu, Longbo Huang
2016	J	`jnl`	Market Share Analysis with Brand Effect. CoRR Zhixuan Fang, Longbo Huang
2016	A	`conf`	Market Share Analysis with Brand Effect: (Extended Abstract). AAMAS Zhixuan Fang, Longbo Huang
2016	—	`conf`	Market share analysis with brand effect. CDC Zhixuan Fang, Longbo Huang
2016	J	`jnl`	Power-Delay Tradeoff With Predictive Scheduling in Integrated Cellular and Wi-Fi Networks. IEEE J. Sel. Areas Commun. Haoran Yu, Man Hon Cheung, Longbo Huang, Jianwei Huang
2016	B	`conf`	System intelligence: model, bounds and algorithms. MobiHoc Longbo Huang
2016	J	`jnl`	Two-Scale Stochastic Control for Multipoint Communication Systems with Renewables. CoRR Xin Wang, Xiaojing Chen, Tianyi Chen, Longbo Huang, Georgios B. Giannakis
2016	B	`conf`	Two-Scale Stochastic Control for Smart-Grid Powered Coordinated Multi-Point Systems. GLOBECOM Xiaojing Chen, Tianyi Chen, Xin Wang, Longbo Huang, Georgios B. Giannakis
2016	—	`conf`	User identification in cyber-physical space: a case study on mobile query logs and trajectories. SIGSPATIAL/GIS Tianyi Hao, Jingbo Zhou, Yunsheng Cheng, Longbo Huang, Haishan Wu
2016	J	`jnl`	When Backpressure Meets Predictive Scheduling. IEEE/ACM Trans. Netw. Longbo Huang, Shaoquan Zhang, Minghua Chen, Xin Liu
2015	J	`jnl`	A Comment on "Power Cost Reduction in Distributed Data Centers: A Two Time Scale Approach for Delay Tolerant Workloads". IEEE Trans. Parallel Distributed Syst. Weiwei Fang, Yuan Yao, Longbo Huang, Abhishek B. Sharma, Leana Golubchik, Michael J. Neely
2015	J	`jnl`	A Methodology for Designing the Control of Energy Harvesting Sensor Nodes. IEEE J. Sel. Areas Commun. Neda Edalat, Mehul Motani, Jean C. Walrand, Longbo Huang
2015	—	`conf`	Fast-convergent learning-aided control in energy harvesting networks. CDC Longbo Huang
2015	—	`conf`	Online Energy Management Strategy for Hybrid Electric Vehicle. e-Energy Lok To Mak, Minghua Chen, Guanglin Zhang, Longbo Huang, Haibo Zeng
2015	J	`jnl`	Optimizing Age-of-Information in a Multi-class Queueing System. CoRR Longbo Huang, Eytan H. Modiano
2015	B	`conf`	Optimizing age-of-information in a multi-class queueing system. ISIT Longbo Huang, Eytan H. Modiano
2015	—	`conf`	Optimizing power consumption of mobile games. HotPower@SOSP Yu Yan, Songtao He, Yunxin Liu, Longbo Huang
2015	J	`jnl`	Power-Delay Tradeoff with Predictive Scheduling in Integrated Cellular and Wi-Fi Networks. CoRR Haoran Yu, Man Hon Cheung, Longbo Huang, Jianwei Huang
2015	J	`jnl`	Proactive Serving Decreases User Delay Exponentially. SIGMETRICS Perform. Evaluation Rev. Shaoquan Zhang, Longbo Huang, Minghua Chen, Xin Liu
2015	J	`jnl`	Receding learning-aided control in stochastic networks. Perform. Evaluation Longbo Huang
2015	B	`conf`	The Value-of-Information in Matching with Queues. MobiHoc Longbo Huang
2014	—	`conf`	Control of systems that store renewable energy. e-Energy Neda Edalat, Mehul Motani, Jean C. Walrand, Longbo Huang
2014	—	`conf`	Delay-aware Predictive Network Selection in data offloading. INFOCOM Workshops Haoran Yu, Man Hon Cheung, Longbo Huang, Jianwei Huang
2014	A*	`conf`	Effect of proactive serving on user delay reduction in service systems. SIGMETRICS Shaoquan Zhang, Longbo Huang, Minghua Chen, Xin Liu
2014	J	`jnl`	Optimizing Your Online-Advertisement Asynchronously. CoRR Longbo Huang
2014	—	`conf`	Optimizing your online-advertisement asynchronously. CDC Longbo Huang
2014	J	`jnl`	Power Cost Reduction in Distributed Data Centers: A Two-Time-Scale Approach for Delay Tolerant Workloads. IEEE Trans. Parallel Distributed Syst. Yuan Yao, Longbo Huang, Abhishek B. Sharma, Leana Golubchik, Michael J. Neely
2014	B	`conf`	Predictive delay-aware network selection in data offloading. GLOBECOM Haoran Yu, Man Hon Cheung, Longbo Huang, Jianwei Huang
2014	J	`jnl`	The Multi-shop Ski Rental Problem. CoRR Lingqing Ai, Xian Wu, Lingxiao Huang, Longbo Huang, Pingzhong Tang, Jian Li
2014	J	`jnl`	The Power of Online Learning in Stochastic Network Optimization. CoRR Longbo Huang, Xin Liu, Xiaohong Hao
2014	A*	`conf`	The multi-shop ski rental problem. SIGMETRICS Lingqing Ai, Xian Wu, Lingxiao Huang, Longbo Huang, Pingzhong Tang, Jian Li
2014	A*	`conf`	The power of online learning in stochastic network optimization. SIGMETRICS Longbo Huang, Xin Liu, Xiaohong Hao
2014	—	`conf`	Time-average optimization with nonconvex decision set and its convergence. CDC Sucha Supittayapornpong, Longbo Huang, Michael J. Neely
2014	J	`jnl`	When Queueing Meets Coding: Optimal-Latency Data Retrieving Scheme in Storage Clouds. CoRR Shengbo Chen, Yin Sun, Ulas C. Kozat, Longbo Huang, Prasun Sinha, Guanfeng Liang, Xin Liu, Ness B. Shroff
2014	B	`conf`	When backpressure meets predictive scheduling. MobiHoc Longbo Huang, Shaoquan Zhang, Minghua Chen, Xin Liu
2014	A*	`conf`	When queueing meets coding: Optimal-latency data retrieving scheme in storage clouds. INFOCOM Shengbo Chen, Yin Sun, Ulas C. Kozat, Longbo Huang, Prasun Sinha, Guanfeng Liang, Xin Liu, Ness B. Shroff
2013	A*	`conf`	A Benes packet network. INFOCOM Longbo Huang, Jean C. Walrand
2013	J	`jnl`	LIFO-Backpressure Achieves Near-Optimal Utility-Delay Tradeoff. IEEE/ACM Trans. Netw. Longbo Huang, Scott Moeller, Michael J. Neely, Bhaskar Krishnamachari
2013	J	`jnl`	Optimal Distributed Broadcasting with Per-neighbor Queues in Acyclic Overlay Networks with Arbitrary Underlay Capacity Constraints CoRR Shaoquan Zhang, Minghua Chen, Zongpeng Li, Longbo Huang
2013	B	`conf`	Optimal distributed broadcasting with per-neighbor queues in acyclic overlay networks with arbitrary underlay capacity constraints. ISIT Shaoquan Zhang, Minghua Chen, Zongpeng Li, Longbo Huang
2013	B	`conf`	Optimal sleep-wake scheduling for energy harvesting smart mobile devices. WiOpt Longbo Huang
2013	J	`jnl`	Utility Optimal Scheduling in Energy-Harvesting Networks. IEEE/ACM Trans. Netw. Longbo Huang, Michael J. Neely
2013	J	`jnl`	When Backpressure Meets Predictive Scheduling. CoRR Longbo Huang, Shaoquan Zhang, Minghua Chen, Xin Liu
2012	J	`jnl`	A Benes Packet Network CoRR Longbo Huang, Jean C. Walrand
2012	—	`conf`	A multi-layer market for vehicle-to-grid energy trading in the smart grid. INFOCOM Workshops Albert Y. S. Lam, Longbo Huang, Alonso Silva, Walid Saad
2012	J	`jnl`	Codes Can Reduce Queueing Delay in Data Centers CoRR Longbo Huang, Sameer Pawar, Hao Zhang, Kannan Ramchandran
2012	B	`conf`	Codes can reduce queueing delay in data centers. ISIT Longbo Huang, Sameer Pawar, Hao Zhang, Kannan Ramchandran
2012	A*	`conf`	Data centers power reduction: A two time scale approach for delay tolerant workloads. INFOCOM Yuan Yao, Longbo Huang, Abhishek B. Sharma, Leana Golubchik, Michael J. Neely
2012	—	`conf`	Optimal demand response with energy storage management. SmartGridComm Longbo Huang, Jean C. Walrand, Kannan Ramchandran
2012	Misc	`conf`	Optimal smart grid tariffs. ITA Longbo Huang, Jean C. Walrand, Kannan Ramchandran
2011	J	`jnl`	Delay efficient scheduling via redundant constraints in multihop networks. Perform. Evaluation Longbo Huang, Michael J. Neely
2011	J	`jnl`	Delay reduction via Lagrange multipliers in stochastic network optimization. IEEE Trans. Autom. Control. Longbo Huang, Michael J. Neely
2011	B	`conf`	LIFO-Backpressure achieves near optimal utility-delay tradeoff. WiOpt Longbo Huang, Scott Moeller, Michael J. Neely, Bhaskar Krishnamachari
2011	B	`conf`	Utility optimal scheduling in energy harvesting networks. MobiHoc Longbo Huang, Michael J. Neely
2011	J	`jnl`	Utility optimal scheduling in processing networks. Perform. Evaluation Longbo Huang, Michael J. Neely
2010	B	`conf`	Delay efficient scheduling via redundant constraints in multihop networks. WiOpt Longbo Huang, Michael J. Neely
2010	—	`conf`	Dynamic product assembly and inventory control for maximum profit. CDC Michael J. Neely, Longbo Huang
2010	J	`jnl`	The optimality of two prices: maximizing revenue in a stochastic communication system. IEEE/ACM Trans. Netw. Longbo Huang, Michael J. Neely
2010	J	`jnl`	Utility Optimal Scheduling in Processing Networks CoRR Longbo Huang, Michael J. Neely
2009	B	`conf`	Delay reduction via Lagrange Multipliers in stochastic network optimization. WiOpt Longbo Huang, Michael J. Neely
2008	—	`conf`	A negotiation game for multichannel access in cognitive radio networks. WICON Hua Liu, Longbo Huang, Bhaskar Krishnamachari, Qing Zhao