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2020 – today
- 2024
[j39]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): 2344-2359 (2024)- [j38]Jiatai Huang, Leana Golubchik, Longbo Huang:
When Lyapunov Drift Based Queue Scheduling Meets Adversarial Bandit Learning. IEEE/ACM Trans. Netw. 32(4): 3034-3044 (2024) - [c90]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 - [c89]Xinran Gu, Kaifeng Lyu, Sanjeev Arora, Jingzhao Zhang, Longbo Huang:
A Quadratic Synchronization Rule for Distributed Deep Learning. ICLR 2024 - [c88]Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang:
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation. ICML 2024 - [c87]Boning Li, Zhixuan Fang, Longbo Huang:
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. ICML 2024 - [c86]Tonghe Zhang, Yu Chen, Longbo Huang:
Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation. ICML 2024 - [i68]Tonghe Zhang, Yu Chen, Longbo Huang:
Provably Efficient Partially Observable Risk-Sensitive Reinforcement Learning with Hindsight Observation. CoRR abs/2402.18149 (2024) - [i67]Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang:
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation. CoRR abs/2402.18159 (2024) - [i66]Boning Li, Zhixuan Fang, Longbo Huang:
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. CoRR abs/2403.04344 (2024) - 2023
- [j37]Jiatai Huang, Longbo Huang:
Learning-based Optimal Quantum Switch Scheduling. SIGMETRICS Perform. Evaluation Rev. 51(2): 75-77 (2023) - [j36]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): 2847-2859 (2023) - [j35]Yu Huang, Yuan Cheng, Yingbin Liang, Longbo Huang:
Online Min-max Problems with Non-convexity and Non-stationarity. Trans. Mach. Learn. Res. 2023 (2023) - [c85]Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang:
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. AAAI 2023: 6879-6887 - [c84]Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang:
Collaborative Pure Exploration in Kernel Bandit. ICLR 2023 - [c83]Yihan Du, Siwei Wang, Longbo Huang:
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path. ICLR 2023 - [c82]Xinran Gu, Kaifeng Lyu, Longbo Huang, Sanjeev Arora:
Why (and When) does Local SGD Generalize Better than SGD? ICLR 2023 - [c81]Pihe Hu, Yu Chen, Longbo Huang:
Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs. ICLR 2023 - [c80]Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio:
Generative Augmented Flow Networks. ICLR 2023 - [c79]Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang:
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. ICLR 2023 - [c78]Yihan Du, Longbo Huang, Wen Sun:
Multi-task Representation Learning for Pure Exploration in Linear Bandits. ICML 2023: 8511-8564 - [c77]Jiatai Huang, Yan Dai, Longbo Huang:
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning. ICML 2023: 13814-13844 - [c76]Nuoya Xiong, Yihan Du, Longbo Huang:
Provably Safe Reinforcement Learning with Step-wise Violation Constraints. NeurIPS 2023 - [c75]Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio:
Stochastic Generative Flow Networks. UAI 2023: 1628-1638 - [i65]Jiatai Huang, Yan Dai, Longbo Huang:
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning. CoRR abs/2301.10500 (2023) - [i64]Yihan Du, Longbo Huang, Wen Sun:
Multi-task Representation Learning for Pure Exploration in Linear Bandits. CoRR abs/2302.04441 (2023) - [i63]Nuoya Xiong, Yihan Du, Longbo Huang:
Provably Safe Reinforcement Learning with Step-wise Violation Constraints. CoRR abs/2302.06064 (2023) - [i62]Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio:
Stochastic Generative Flow Networks. CoRR abs/2302.09465 (2023) - [i61]Xinran Gu, Kaifeng Lyu, Longbo Huang, Sanjeev Arora:
Why (and When) does Local SGD Generalize Better than SGD? CoRR abs/2303.01215 (2023) - [i60]Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang:
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. CoRR abs/2303.01668 (2023) - [i59]Jiatai Huang, Leana Golubchik, Longbo Huang:
Queue Scheduling with Adversarial Bandit Learning. CoRR abs/2303.01745 (2023) - [i58]Zhuoran Li, Ling Pan, Longbo Huang:
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning. CoRR abs/2307.01472 (2023) - [i57]Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, Hang Zhao:
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference. CoRR abs/2310.04378 (2023) - [i56]Yiqin Tan, Ling Pan, Longbo Huang:
One is More: Diverse Perspectives within a Single Network for Efficient DRL. CoRR abs/2310.14009 (2023) - [i55]Xinran Gu, Kaifeng Lyu, Sanjeev Arora, Jingzhao Zhang, Longbo Huang:
A Quadratic Synchronization Rule for Distributed Deep Learning. CoRR abs/2310.14423 (2023) - [i54]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 abs/2311.05556 (2023) - 2022
- [j34]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): 4-5 (2022) - [j33]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): 5850-5851 (2022) - [j32]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): 1562-1575 (2022) - [j31]Hongyi Zhou, Kefan Lv, Longbo Huang, Xiongfeng Ma:
Quantum Network: Security Assessment and Key Management. IEEE/ACM Trans. Netw. 30(3): 1328-1339 (2022) - [c74]Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang, Longbo Huang:
Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. CIKM 2022: 128-137 - [c73]Pihe Hu, Yu Chen, Longbo Huang:
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation. ICML 2022: 8971-9019 - [c72]Jiatai Huang, Yan Dai, Longbo Huang:
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits. ICML 2022: 9173-9200 - [c71]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: 9226-9259 - [c70]Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu:
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. ICML 2022: 17221-17237 - [c69]Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang:
Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning. MobiHoc 2022: 1-10 - [c68]Yu Huang, Yingbin Liang, Longbo Huang:
Provable Generalization of Overparameterized Meta-learning Trained with SGD. NeurIPS 2022 - [i53]Jiatai Huang, Yan Dai, Longbo Huang:
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits. CoRR abs/2201.11921 (2022) - [i52]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 abs/2203.12221 (2022) - [i51]Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang:
Network Topology Optimization via Deep Reinforcement Learning. CoRR abs/2204.14133 (2022) - [i50]Yiqin Tan, Pihe Hu, Ling Pan, Longbo Huang:
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. CoRR abs/2205.15043 (2022) - [i49]Yihan Du, Siwei Wang, Longbo Huang:
Risk-Sensitive Reinforcement Learning: Iterated CVaR and the Worst Path. CoRR abs/2206.02678 (2022) - [i48]Yu Huang, Yingbin Liang, Longbo Huang:
Provable Generalization of Overparameterized Meta-learning Trained with SGD. CoRR abs/2206.09136 (2022) - [i47]Pihe Hu, Yu Chen, Longbo Huang:
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation. CoRR abs/2206.11489 (2022) - [i46]Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang:
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning. CoRR abs/2208.14074 (2022) - [i45]Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio:
Generative Augmented Flow Networks. CoRR abs/2210.03308 (2022) - [i44]Yihan Du, Siwei Wang, Longbo Huang:
Dueling Bandits: From Two-dueling to Multi-dueling. CoRR abs/2211.10293 (2022) - 2021
- [j30]Ling Pan, Qingpeng Cai, Longbo Huang:
Exploration in policy optimization through multiple paths. Auton. Agents Multi Agent Syst. 35(2): 33 (2021) - [j29]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: 102240 (2021) - [c67]Yihan Du, Siwei Wang, Longbo Huang:
A One-Size-Fits-All Solution to Conservative Bandit Problems. AAAI 2021: 7254-7261 - [c66]Siwei Wang, Haoyun Wang, Longbo Huang:
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. AAAI 2021: 10210-10217 - [c65]Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li:
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework. AAAI 2021: 10859-10867 - [c64]Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang:
Continuous Mean-Covariance Bandits. NeurIPS 2021: 875-886 - [c63]Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson:
Regularized Softmax Deep Multi-Agent Q-Learning. NeurIPS 2021: 1365-1377 - [c62]Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman:
Multi-Agent Reinforcement Learning in Stochastic Networked Systems. NeurIPS 2021: 7825-7837 - [c61]Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang:
What Makes Multi-Modal Learning Better than Single (Provably). NeurIPS 2021: 10944-10956 - [c60]Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang:
Fast Federated Learning in the Presence of Arbitrary Device Unavailability. NeurIPS 2021: 12052-12064 - [c59]Tiancheng Jin, Longbo Huang, Haipeng Luo:
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition. NeurIPS 2021: 20491-20502 - [c58]Jiatai Huang, Longbo Huang:
Robust Wireless Scheduling under Arbitrary Channel Dynamics and Feedback Delay (Invited Paper). ITC 2021: 1-8 - [e2]Longbo Huang, Anshul Gandhi, Negar Kiyavash, Jia Wang:
SIGMETRICS '21: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Virtual Event, China, June 14-18, 2021. ACM 2021, ISBN 978-1-4503-8072-0 [contents] - [i43]Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang:
Continuous Mean-Covariance Bandits. CoRR abs/2102.12090 (2021) - [i42]Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson:
Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning. CoRR abs/2103.11883 (2021) - [i41]Tiancheng Jin, Longbo Huang, Haipeng Luo:
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition. CoRR abs/2106.04117 (2021) - [i40]Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang:
Fast Federated Learning in the Presence of Arbitrary Device Unavailability. CoRR abs/2106.04159 (2021) - [i39]Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang:
What Makes Multimodal Learning Better than Single (Provably). CoRR abs/2106.04538 (2021) - [i38]Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang:
Collaborative Pure Exploration in Kernel Bandit. CoRR abs/2110.15771 (2021) - [i37]Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang:
Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints. CoRR abs/2111.07707 (2021) - [i36]Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu:
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. CoRR abs/2111.11188 (2021) - 2020
- [j28]Zhixuan Fang, Longbo Huang, Adam Wierman:
Loyalty programs in the sharing economy: Optimality and competition. Perform. Evaluation 143: 102105 (2020) - [j27]Yu Huang, Longbo Huang:
Heavy traffic analysis of approximate max-weight matching algorithms for input-queued switches. Perform. Evaluation 144: 102143 (2020) - [j26]Yu Huang, Longbo Huang:
Heavy Traffic Analysis of Approximate Max-Weight Matching Algorithms for Input-Queued Switches. SIGMETRICS Perform. Evaluation Rev. 48(3): 109-110 (2020) - [j25]Longbo Huang:
Fast-Convergent Learning-Aided Control in Energy Harvesting Networks. IEEE Trans. Mob. Comput. 19(12): 2793-2803 (2020) - [c57]Yihan Du, Siwei Wang, Longbo Huang:
Dueling Bandits: From Two-dueling to Multi-dueling. AAMAS 2020: 348-356 - [c56]Ling Pan, Qingpeng Cai, Longbo Huang:
Multi-Path Policy Optimization. AAMAS 2020: 1001-1009 - [c55]Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao:
Combinatorial Pure Exploration for Dueling Bandit. ICML 2020: 1531-1541 - [c54]Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang:
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. IJCAI 2020: 1992-1998 - [c53]Yuxing Li, Hu Zheng, Chengqiang Huang, Ke Pei, Jinghui Li, Longbo Huang:
Terminator: An Efficient and Light-weight Fault Localization Framework. INFOCOM Workshops 2020: 580-585 - [c52]Longbo Huang, Yuxing Li, Jean C. Walrand:
RTCP - Reduce Delay Variability with an End-to-end Approach. Networking 2020: 235-243 - [c51]Ling Pan, Qingpeng Cai, Longbo Huang:
Softmax Deep Double Deterministic Policy Gradients. NeurIPS 2020 - [c50]Siwei Wang, Longbo Huang, John C. S. Lui:
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits. NeurIPS 2020 - [i35]Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li:
Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL. CoRR abs/2006.06193 (2020) - [i34]Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman:
Distributed Reinforcement Learning in Multi-Agent Networked Systems. CoRR abs/2006.06555 (2020) - [i33]Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao:
Combinatorial Pure Exploration of Dueling Bandit. CoRR abs/2006.12772 (2020) - [i32]Ling Pan, Qingpeng Cai, Longbo Huang:
Softmax Deep Double Deterministic Policy Gradients. CoRR abs/2010.09177 (2020) - [i31]Siwei Wang, Longbo Huang, John C. S. Lui:
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits. CoRR abs/2011.02664 (2020) - [i30]Siwei Wang, Haoyun Wang, Longbo Huang:
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. CoRR abs/2012.07048 (2020) - [i29]Yihan Du, Siwei Wang, Longbo Huang:
A One-Size-Fits-All Solution to Conservative Bandit Problems. CoRR abs/2012.07341 (2020)
2010 – 2019
- 2019
- [j24]Zhixuan Fang, Longbo Huang, Adam Wierman:
Prices and subsidies in the sharing economy. Perform. Evaluation 136 (2019) - [c49]Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang:
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. AAAI 2019: 1393-1400 - [c48]Yue Yu, Jiaxiang Wu, Longbo Huang:
Double Quantization for Communication-Efficient Distributed Optimization. NeurIPS 2019: 4440-4451 - [e1]Konstantin Avrachenkov, Longbo Huang, Jason R. Marden, Marceau Coupechoux, Anastasios Giovanidis:
Game Theory for Networks - 8th International EAI Conference, GameNets 2019, Paris, France, April 25-26, 2019, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 277, Springer 2019, ISBN 978-3-030-16988-6 [contents] - [i28]Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu:
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. CoRR abs/1903.05926 (2019) - [i27]Hongyi Zhou, Kefan Lv, Longbo Huang, Xiongfeng Ma:
Security assessment and key management in a quantum network. CoRR abs/1907.08963 (2019) - [i26]Ling Pan, Qingpeng Cai, Longbo Huang:
Multi-Path Policy Optimization. CoRR abs/1911.04207 (2019) - 2018
- [j23]Longbo Huang, Minghua Chen, Yunxin Liu:
Learning-Aided Stochastic Network Optimization With State Prediction. IEEE/ACM Trans. Netw. 26(4): 1810-1820 (2018) - [j22]Kun Chen, Longbo Huang:
Timely-Throughput Optimal Scheduling With Prediction. IEEE/ACM Trans. Netw. 26(6): 2457-2470 (2018) - [j21]Xin Wang, Xiaojing Chen, Tianyi Chen, Longbo Huang, Georgios B. Giannakis:
Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables. IEEE Trans. Smart Grid 9(3): 1822-1834 (2018) - [c47]Kun Chen, Kechao Cai, Longbo Huang, John C. S. Lui:
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback. IJCAI 2018: 3308-3314 - [c46]Tianyi Hao, Longbo Huang:
A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks. IJCAI 2018: 3790-3796 - [c45]Kun Chen, Longbo Huang:
Timely-Throughput Optimal Scheduling with Prediction. INFOCOM 2018: 603-611 - [c44]Zhixuan Fang, Longbo Huang, Adam Wierman:
Loyalty Programs in the Sharing Economy: Optimality and Competition. MobiHoc 2018: 131-140 - [c43]Siwei Wang, Longbo Huang:
Multi-armed Bandits with Compensation. NeurIPS 2018: 5119-5128 - [i25]Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang:
Rebalancing Dockless Bike Sharing Systems. CoRR abs/1802.04592 (2018) - [i24]Kun Chen, Kechao Cai, Longbo Huang, John C. S. Lui:
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback. CoRR abs/1805.01702 (2018) - [i23]Zhixuan Fang, Longbo Huang, Adam Wierman:
Loyalty Programs in the Sharing Economy: Optimality and Competition. CoRR abs/1805.03581 (2018) - [i22]Yue Yu, Longbo Huang:
A New Analysis of Variance Reduced Stochastic Proximal Methods for Composite Optimization with Serial and Asynchronous Realizations. CoRR abs/1805.10111 (2018) - [i21]Siwei Wang, Longbo Huang:
Multi-armed Bandits with Compensation. CoRR abs/1811.01715 (2018) - 2017
- [j20]Lingjie Duan, Longbo Huang, Cedric Langbort, Alexey Pozdnukhov, Jean C. Walrand, Lin Zhang:
Human-in-the-Loop Mobile Networks: A Survey of Recent Advancements. IEEE J. Sel. Areas Commun. 35(4): 813-831 (2017) - [j19]Sucha Supittayapornpong, Longbo Huang, Michael J. Neely:
Time-Average Optimization With Nonconvex Decision Set and Its Convergence. IEEE Trans. Autom. Control. 62(8): 4202-4208 (2017) - [j18]Kangwook Lee, Nihar B. Shah, Longbo Huang, Kannan Ramchandran:
The MDS Queue: Analysing the Latency Performance of Erasure Codes. IEEE Trans. Inf. Theory 63(5): 2822-2842 (2017) - [j17]Longbo Huang:
Optimal Sleep-Wake Scheduling for Energy Harvesting Smart Mobile Devices. IEEE Trans. Mob. Comput. 16(5): 1394-1407 (2017) - [j16]Longbo Huang:
The Value-of-Information in Matching With Queues. IEEE/ACM Trans. Netw. 25(1): 29-42 (2017) - [j15]Shaoquan Zhang, Longbo Huang, Minghua Chen, Xin Liu:
Proactive Serving Decreases User Delay Exponentially: The Light-Tailed Service Time Case. IEEE/ACM Trans. Netw. 25(2): 708-723 (2017) - [j14]