A negotiation game for multichannel access in cognitive radio networks. - Hua Liu 005; Longbo Huang; Bhaskar Krishnamachari; Qing Zhao 001 (WICON, 2008)

Dynamic product assembly and inventory control for maximum profit. - Michael J. Neely; Longbo Huang (CDC, 2010)

The optimality of two prices: maximizing revenue in a stochastic communication system. - Longbo Huang; Michael J. Neely (IEEE/ACM Trans. Netw., 2010)

Delay efficient scheduling via redundant constraints in multihop networks. - Longbo Huang; Michael J. Neely (Perform. Evaluation, 2011)

Utility optimal scheduling in processing networks. - Longbo Huang; Michael J. Neely (Perform. Evaluation, 2011)

Delay reduction via Lagrange multipliers in stochastic network optimization. - Longbo Huang; Michael J. Neely (IEEE Trans. Autom. Control., 2011)

A multi-layer market for vehicle-to-grid energy trading in the smart grid. - Albert Y. S. Lam; Longbo Huang; Alonso Silva; Walid Saad (INFOCOM Workshops, 2012)

Data centers power reduction: A two time scale approach for delay tolerant workloads. - Yuan Yao; Longbo Huang; Abhishek B. Sharma; Leana Golubchik; Michael J. Neely (INFOCOM, 2012)

Codes can reduce queueing delay in data centers. - Longbo Huang; Sameer Pawar; Hao Zhang 006; Kannan Ramchandran (ISIT, 2012)

Optimal smart grid tariffs. - Longbo Huang; Jean C. Walrand; Kannan Ramchandran (ITA, 2012)

Optimal demand response with energy storage management. - Longbo Huang; Jean C. Walrand; Kannan Ramchandran (SmartGridComm, 2012)

A Benes packet network. - Longbo Huang; Jean C. Walrand (INFOCOM, 2013)

Optimal distributed broadcasting with per-neighbor queues in acyclic overlay networks with arbitrary underlay capacity constraints. - Shaoquan Zhang; Minghua Chen 001; Zongpeng Li; Longbo Huang (ISIT, 2013)

LIFO-Backpressure Achieves Near-Optimal Utility-Delay Tradeoff. - Longbo Huang; Scott Moeller; Michael J. Neely; Bhaskar Krishnamachari (IEEE/ACM Trans. Netw., 2013)

Utility Optimal Scheduling in Energy-Harvesting Networks. - Longbo Huang; Michael J. Neely (IEEE/ACM Trans. Netw., 2013)

Optimizing your online-advertisement asynchronously. - Longbo Huang (CDC, 2014)

Control of systems that store renewable energy. - Neda Edalat; Mehul Motani; Jean C. Walrand; Longbo Huang (e-Energy, 2014)

Predictive delay-aware network selection in data offloading. - Haoran Yu 001; Man Hon Cheung; Longbo Huang; Jianwei Huang 001 (GLOBECOM, 2014)

When queueing meets coding: Optimal-latency data retrieving scheme in storage clouds. - Shengbo Chen; Yin Sun; Ulas C. Kozat; Longbo Huang; Prasun Sinha; Guanfeng Liang; Xin Liu 002; Ness B. Shroff (INFOCOM, 2014)

Delay-aware Predictive Network Selection in data offloading. - Haoran Yu 001; Man Hon Cheung; Longbo Huang; Jianwei Huang 001 (INFOCOM Workshops, 2014)

The multi-shop ski rental problem. - Lingqing Ai; Xian Wu; Lingxiao Huang; Longbo Huang; Pingzhong Tang; Jian Li 015 (SIGMETRICS, 2014)

The power of online learning in stochastic network optimization. - Longbo Huang; Xin Liu 002; Xiaohong Hao (SIGMETRICS, 2014)

Effect of proactive serving on user delay reduction in service systems. - Shaoquan Zhang; Longbo Huang; Minghua Chen 001; Xin Liu 002 (SIGMETRICS, 2014)

Power Cost Reduction in Distributed Data Centers: A Two-Time-Scale Approach for Delay Tolerant Workloads. - Yuan Yao; Longbo Huang; Abhishek B. Sharma; Leana Golubchik; Michael J. Neely (IEEE Trans. Parallel Distributed Syst., 2014)

Online Energy Management Strategy for Hybrid Electric Vehicle. - Lok To Mak; Minghua Chen 001; Guanglin Zhang; Longbo Huang; Haibo Zeng 001 (e-Energy, 2015)

Optimizing age-of-information in a multi-class queueing system. - Longbo Huang; Eytan H. Modiano (ISIT, 2015)

Optimizing power consumption of mobile games. - Yu Yan; Songtao He; Yunxin Liu; Longbo Huang (HotPower@SOSP, 2015)

A Methodology for Designing the Control of Energy Harvesting Sensor Nodes. - Neda Edalat; Mehul Motani; Jean C. Walrand; Longbo Huang (IEEE J. Sel. Areas Commun., 2015)

Receding learning-aided control in stochastic networks. - Longbo Huang (Perform. Evaluation, 2015)

Proactive Serving Decreases User Delay Exponentially. - Shaoquan Zhang; Longbo Huang; Minghua Chen 001; Xin Liu 002 (SIGMETRICS Perform. Evaluation Rev., 2015)

A Comment on "Power Cost Reduction in Distributed Data Centers: A Two Time Scale Approach for Delay Tolerant Workloads". - Weiwei Fang; Yuan Yao; Longbo Huang; Abhishek B. Sharma; Leana Golubchik; Michael J. Neely (IEEE Trans. Parallel Distributed Syst., 2015)

Market Share Analysis with Brand Effect: (Extended Abstract). - Zhixuan Fang; Longbo Huang (AAMAS, 2016)

Market share analysis with brand effect. - Zhixuan Fang; Longbo Huang (CDC, 2016)

Online microgrid energy generation scheduling revisited: the benefits of randomization and interval prediction. - Mohammad Hassan Hajiesmaili; Chi-Kin Chau; Minghua Chen 001; Longbu Huang (e-Energy, 2016)

Increasing large-scale data center capacity by statistical power control. - Guosai Wang; Shuhao Wang; Bing Luo; Weisong Shi; Yinghang Zhu; Wenjun Yang; Dianming Hu; Longbo Huang; Xin Jin 008; Wei Xu 005 (EuroSys, 2016)

User identification in cyber-physical space: a case study on mobile query logs and trajectories. - Tianyi Hao 001; Jingbo Zhou; Yunsheng Cheng; Longbo Huang; Haishan Wu (SIGSPATIAL/GIS, 2016)

Two-Scale Stochastic Control for Smart-Grid Powered Coordinated Multi-Point Systems. - Xiaojing Chen 001; Tianyi Chen; Xin Wang 003; Longbo Huang; Georgios B. Giannakis (GLOBECOM, 2016)

Age-of-information in the presence of error. - Kun Chen 004; Longbo Huang (ISIT, 2016)

System intelligence: model, bounds and algorithms. - Longbo Huang (MobiHoc, 2016)

Learning-aided scheduling for mobile virtual network operators with QoS constraints. - Tianxiao Zhang; Huasen Wu; Xin Liu 002; Longbo Huang (WiOpt, 2016)

Boosting Sharing Economy: Social Welfare or Revenue Driven? - Zhixuan Fang; Longbo Huang (CoRR, 2016)

Two-Scale Stochastic Control for Multipoint Communication Systems with Renewables. - Xin Wang 003; Xiaojing Chen 001; Tianyi Chen; Longbo Huang; Georgios B. Giannakis (CoRR, 2016)

Power-Delay Tradeoff With Predictive Scheduling in Integrated Cellular and Wi-Fi Networks. - Haoran Yu 001; Man Hon Cheung; Longbo Huang; Jianwei Huang 001 (IEEE J. Sel. Areas Commun., 2016)

When Backpressure Meets Predictive Scheduling. - Longbo Huang; Shaoquan Zhang; Minghua Chen 001; Xin Liu 002 (IEEE/ACM Trans. Netw., 2016)

Multi-level Feedback Web Links Selection Problem: Learning and Optimization. - Kechao Cai; Kun Chen 004; Longbo Huang; John C. S. Lui (ICDM, 2017)

Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization. - Yue Yu; Longbo Huang (IJCAI, 2017)

Learning-aided Stochastic Network Optimization with Imperfect State Prediction. - Longbo Huang; Minghua Chen 001; Yunxin Liu (MobiHoc, 2017)

Human-in-the-Loop Mobile Networks: A Survey of Recent Advancements. - Lingjie Duan; Longbo Huang; Cedric Langbort; Alexey Pozdnukhov; Jean C. Walrand; Lin Zhang 001 (IEEE J. Sel. Areas Commun., 2017)

Time-Average Optimization With Nonconvex Decision Set and Its Convergence. - Sucha Supittayapornpong; Longbo Huang; Michael J. Neely (IEEE Trans. Autom. Control., 2017)

The MDS Queue: Analysing the Latency Performance of Erasure Codes. - Kangwook Lee 001; Nihar B. Shah; Longbo Huang; Kannan Ramchandran (IEEE Trans. Inf. Theory, 2017)

Optimal Sleep-Wake Scheduling for Energy Harvesting Smart Mobile Devices. - Longbo Huang (IEEE Trans. Mob. Comput., 2017)

The Value-of-Information in Matching With Queues. - Longbo Huang (IEEE/ACM Trans. Netw., 2017)

Intelligence of Smart Systems: Model, Bounds, and Algorithms. - Longbo Huang (IEEE/ACM Trans. Netw., 2017)

Proactive Serving Decreases User Delay Exponentially: The Light-Tailed Service Time Case. - Shaoquan Zhang; Longbo Huang; Minghua Chen 001; Xin Liu 002 (IEEE/ACM Trans. Netw., 2017)

Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback. - Kun Chen 004; Kechao Cai; Longbo Huang; John C. S. Lui (IJCAI, 2018)

A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks. - Tianyi Hao 001; Longbo Huang (IJCAI, 2018)

Multi-armed Bandits with Compensation. - Siwei Wang 002; Longbo Huang (NeurIPS, 2018)

Rebalancing Dockless Bike Sharing Systems. - Ling Pan; Qingpeng Cai 001; Zhixuan Fang; Pingzhong Tang; Longbo Huang (CoRR, 2018)

A New Analysis of Variance Reduced Stochastic Proximal Methods for Composite Optimization with Serial and Asynchronous Realizations. - Yue Yu; Longbo Huang (CoRR, 2018)

Timely-Throughput Optimal Scheduling With Prediction. - Kun Chen 004; Longbo Huang (IEEE/ACM Trans. Netw., 2018)

Learning-Aided Stochastic Network Optimization With State Prediction. - Longbo Huang; Minghua Chen 001; Yunxin Liu (IEEE/ACM Trans. Netw., 2018)

Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables. - Xin Wang 003; Xiaojing Chen 001; Tianyi Chen; Longbo Huang; Georgios B. Giannakis (IEEE Trans. Smart Grid, 2018)

A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. - Ling Pan; Qingpeng Cai 001; Zhixuan Fang; Pingzhong Tang; Longbo Huang (AAAI, 2019)

Double Quantization for Communication-Efficient Distributed Optimization. - Yue Yu; Jiaxiang Wu 001; Longbo Huang (NeurIPS, 2019)

Reinforcement Learning with Dynamic Boltzmann Softmax Updates. - Ling Pan; Qingpeng Cai 001; Qi Meng; Wei Chen 034; Longbo Huang; Tie-Yan Liu (CoRR, 2019)

Security assessment and key management in a quantum network. - Hongyi Zhou; Kefan Lv; Longbo Huang; Xiongfeng Ma (CoRR, 2019)

Prices and subsidies in the sharing economy. - Zhixuan Fang; Longbo Huang; Adam Wierman (Perform. Evaluation, 2019)

Dueling Bandits: From Two-dueling to Multi-dueling. - Yihan Du; Siwei Wang 002; Longbo Huang (AAMAS, 2020)

Multi-Path Policy Optimization. - Ling Pan; Qingpeng Cai 001; Longbo Huang (AAMAS, 2020)

Combinatorial Pure Exploration for Dueling Bandit. - Wei Chen 034; Yihan Du; Longbo Huang; Haoyu Zhao (ICML, 2020)

Reinforcement Learning with Dynamic Boltzmann Softmax Updates. - Ling Pan; Qingpeng Cai 001; Qi Meng; Wei Chen 034; Longbo Huang (IJCAI, 2020)

Terminator: An Efficient and Light-weight Fault Localization Framework. - Yuxing Li; Hu Zheng; Chengqiang Huang; Ke Pei; Jinghui Li; Longbo Huang (INFOCOM Workshops, 2020)

RTCP - Reduce Delay Variability with an End-to-end Approach. - Longbo Huang; Yuxing Li; Jean C. Walrand (Networking, 2020)

Softmax Deep Double Deterministic Policy Gradients. - Ling Pan; Qingpeng Cai 001; Longbo Huang (NeurIPS, 2020)

Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits. - Siwei Wang 002; Longbo Huang; John C. S. Lui (NeurIPS, 2020)

Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL. - Chuheng Zhang; Yuanying Cai; Longbo Huang; Jian Li 015 (CoRR, 2020)

Distributed Reinforcement Learning in Multi-Agent Networked Systems. - Yiheng Lin 001; Guannan Qu; Longbo Huang; Adam Wierman (CoRR, 2020)

Loyalty programs in the sharing economy: Optimality and competition. - Zhixuan Fang; Longbo Huang; Adam Wierman (Perform. Evaluation, 2020)

Heavy traffic analysis of approximate max-weight matching algorithms for input-queued switches. - Yu Huang 023; Longbo Huang (Perform. Evaluation, 2020)

Fast-Convergent Learning-Aided Control in Energy Harvesting Networks. - Longbo Huang (IEEE Trans. Mob. Comput., 2020)

A One-Size-Fits-All Solution to Conservative Bandit Problems. - Yihan Du; Siwei Wang 002; Longbo Huang (AAAI, 2021)

Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. - Siwei Wang 002; Haoyun Wang; Longbo Huang (AAAI, 2021)

Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework. - Chuheng Zhang; Yuanying Cai; Longbo Huang; Jian Li 015 (AAAI, 2021)

Continuous Mean-Covariance Bandits. - Yihan Du; Siwei Wang 002; Zhixuan Fang; Longbo Huang (NeurIPS, 2021)

Fast Federated Learning in the Presence of Arbitrary Device Unavailability. - Xinran Gu; Kaixuan Huang; Jingzhao Zhang; Longbo Huang (NeurIPS, 2021)

What Makes Multi-Modal Learning Better than Single (Provably). - Yu Huang 023; Chenzhuang Du; Zihui Xue; Xuanyao Chen; Hang Zhao; Longbo Huang (NeurIPS, 2021)

The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition. - Tiancheng Jin; Longbo Huang; Haipeng Luo (NeurIPS, 2021)

Multi-Agent Reinforcement Learning in Stochastic Networked Systems. - Yiheng Lin 001; Guannan Qu; Longbo Huang; Adam Wierman (NeurIPS, 2021)

Regularized Softmax Deep Multi-Agent Q-Learning. - Ling Pan; Tabish Rashid; Bei Peng 001; Longbo Huang; Shimon Whiteson (NeurIPS, 2021)

Robust Wireless Scheduling under Arbitrary Channel Dynamics and Feedback Delay (Invited Paper). - Jiatai Huang; Longbo Huang (ITC, 2021)

Exploration in policy optimization through multiple paths. - Ling Pan; Qingpeng Cai 001; Longbo Huang (Auton. Agents Multi Agent Syst., 2021)

Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning. - Ling Pan; Tabish Rashid; Bei Peng 001; Longbo Huang; Shimon Whiteson (CoRR, 2021)

What Makes Multimodal Learning Better than Single (Provably). - Yu Huang 023; Chenzhuang Du; Zihui Xue; Xuanyao Chen; Hang Zhao; Longbo Huang (CoRR, 2021)

Simultaneously achieving sublinear regret and constraint violations for online convex optimization with time-varying constraints. - Qingsong Liu 001; Wenfei Wu; Longbo Huang; Zhixuan Fang (Perform. Evaluation, 2021)

Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. - Yuanying Cai; Chuheng Zhang; Wei Shen 005; Xiaonan He; Xuyun Zhang; Longbo Huang (CIKM, 2022)

Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation. - Pihe Hu; Yu Chen 074; Longbo Huang (ICML, 2022)

Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits. - Jiatai Huang; Yan Dai 002; Longbo Huang (ICML, 2022)

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). - Yu Huang 023; Junyang Lin; Chang Zhou; Hongxia Yang; Longbo Huang (ICML, 2022)

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. - Ling Pan; Longbo Huang; Tengyu Ma 001; Huazhe Xu (ICML, 2022)

Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning. - Pihe Hu; Ling Pan; Yu Chen 074; Zhixuan Fang; Longbo Huang (MobiHoc, 2022)

Provable Generalization of Overparameterized Meta-learning Trained with SGD. - Yu Huang 023; Yingbin Liang; Longbo Huang (NeurIPS, 2022)

RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. - Yiqin Tan; Pihe Hu; Ling Pan; Longbo Huang (CoRR, 2022)

Risk-Sensitive Reinforcement Learning: Iterated CVaR and the Worst Path. - Yihan Du; Siwei Wang 002; Longbo Huang (CoRR, 2022)

Addendum and Erratum to "The MDS Queue: Analysing the Latency Performance of Erasure Codes". - Kangwook Lee 001; Nihar B. Shah; Longbo Huang; Kannan Ramchandran (IEEE Trans. Inf. Theory, 2022)

A Unified Framework for User Identification Across Online and Offline Data. - Tianyi Hao 001; Jingbo Zhou; Yunsheng Cheng; Longbo Huang; Haishan Wu (IEEE Trans. Knowl. Data Eng., 2022)

Quantum Network: Security Assessment and Key Management. - Hongyi Zhou; Kefan Lv; Longbo Huang; Xiongfeng Ma (IEEE/ACM Trans. Netw., 2022)

RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. - Yuanying Cai; Chuheng Zhang; Wei Shen 005; Xuyun Zhang; Wenjie Ruan; Longbo Huang (AAAI, 2023)

Collaborative Pure Exploration in Kernel Bandit. - Yihan Du; Wei Chen 034; Yuko Kuroki; Longbo Huang (ICLR, 2023)

Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path. - Yihan Du; Siwei Wang 002; Longbo Huang (ICLR, 2023)

Why (and When) does Local SGD Generalize Better than SGD? - Xinran Gu; Kaifeng Lyu; Longbo Huang; Sanjeev Arora (ICLR, 2023)

Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs. - Pihe Hu; Yu Chen 074; Longbo Huang (ICLR, 2023)

Generative Augmented Flow Networks. - Ling Pan; Dinghuai Zhang; Aaron C. Courville; Longbo Huang; Yoshua Bengio (ICLR, 2023)

RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. - Yiqin Tan; Pihe Hu; Ling Pan; Jiatai Huang; Longbo Huang (ICLR, 2023)

Multi-task Representation Learning for Pure Exploration in Linear Bandits. - Yihan Du; Longbo Huang; Wen Sun (ICML, 2023)

Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning. - Jiatai Huang; Yan Dai 002; Longbo Huang (ICML, 2023)

Provably Safe Reinforcement Learning with Step-wise Violation Constraints. - Nuoya Xiong; Yihan Du; Longbo Huang (NeurIPS, 2023)

Stochastic Generative Flow Networks. - Ling Pan; Dinghuai Zhang; Moksh Jain; Longbo Huang; Yoshua Bengio (UAI, 2023)

Queue Scheduling with Adversarial Bandit Learning. - Jiatai Huang; Leana Golubchik; Longbo Huang (CoRR, 2023)

Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning. - Zhuoran Li; Ling Pan; Longbo Huang (CoRR, 2023)

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference. - Simian Luo; Yiqin Tan; Longbo Huang; Jian Li 015; Hang Zhao (CoRR, 2023)

One is More: Diverse Perspectives within a Single Network for Efficient DRL. - Yiqin Tan; Ling Pan; Longbo Huang (CoRR, 2023)

LCM-LoRA: A Universal Stable-Diffusion Acceleration Module. - Simian Luo; Yiqin Tan; Suraj Patil; Daniel Gu; Patrick von Platen; Apolinário Passos; Longbo Huang; Jian Li 015; Hang Zhao (CoRR, 2023)

Online Min-max Problems with Non-convexity and Non-stationarity. - Yu Huang 023; Yuan Cheng; Yingbin Liang; Longbo Huang (Trans. Mach. Learn. Res., 2023)

Network Topology Optimization via Deep Reinforcement Learning. - Zhuoran Li; Xing Wang; Ling Pan; Lin Zhu; Zhendong Wang; Junlan Feng; Chao Deng; Longbo Huang (IEEE Trans. Commun., 2023)

Learning-based Optimal Quantum Switch Scheduling. - Jiatai Huang; Longbo Huang (SIGMETRICS Perform. Evaluation Rev., 2023)

Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback. - Yu Chen 074; Yihan Du; Pihe Hu; Siwei Wang 002; Desheng Wu; Longbo Huang (ICLR, 2024)

A Quadratic Synchronization Rule for Distributed Deep Learning. - Xinran Gu; Kaifeng Lyu; Sanjeev Arora; Jingzhao Zhang; Longbo Huang (ICLR, 2024)

Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation. - Yu Chen 074; Xiangcheng Zhang; Siwei Wang 002; Longbo Huang (ICML, 2024)

RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. - Boning Li; Zhixuan Fang; Longbo Huang (ICML, 2024)

Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation. - Tonghe Zhang; Yu Chen 074; Longbo Huang (ICML, 2024)

Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training. - Pihe Hu; Shaolong Li; Zhuoran Li; Ling Pan; Longbo Huang (NeurIPS, 2024)

Mixed Sparsity Training: Achieving 4⨉ FLOP Reduction for Transformer Pretraining. - Pihe Hu; Shaolong Li; Longbo Huang (CoRR, 2024)

Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning. - Pihe Hu; Yu Chen 074; Ling Pan; Zhixuan Fang; Fu Xiao 001; Longbo Huang (IEEE/ACM Trans. Netw., 2024)

When Lyapunov Drift Based Queue Scheduling Meets Adversarial Bandit Learning. - Jiatai Huang; Leana Golubchik; Longbo Huang (IEEE/ACM Trans. Netw., 2024)

Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks. - Yan Dai 002; Longbo Huang (Proc. ACM Meas. Anal. Comput. Syst., 2024)

uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs. - Yu Chen 074; Jiatai Huang; Yan Dai 002; Longbo Huang (ICLR, 2025)

Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks. - Rui Hu; Yifan Zhang; Zhuoran Li; Longbo Huang (ICLR, 2025)

Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games. - Boning Li; Longbo Huang (ICLR, 2025)

Tackling Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement Learning. - Jiaxuan Jiang; Ling Pan; Lin Zhou; Longbo Huang; Zhixuan Fang (AAMAS, 2025)

Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration. - Hai Zhong; Xun Wang 013; Zhuoran Li; Longbo Huang (AAMAS, 2025)

Mixed Sparsity Training: Achieving 4× FLOP Reduction for Transformer Pretraining. - Pihe Hu; Shaolong Li; Xun Wang 013; Longbo Huang (Trans. Mach. Learn. Res., 2025)

Offline Critic-Guided Diffusion Policy for Multi-User Delay-Constrained Scheduling. - Zhuoran Li; Ruishuo Chen; Hai Zhong; Longbo Huang (CoRR, 2025)

Few is More: Task-Efficient Skill-Discovery for Multi-Task Offline Multi-Agent Reinforcement Learning. - Xun Wang 013; Zhuoran Li; Hai Zhong; Longbo Huang (CoRR, 2025)

Finite-Time Analysis of Discrete-Time Stochastic Interpolants. - Yuhao Liu; Yu Chen 074; Rui Hu; Longbo Huang (CoRR, 2025)

Continuous K-Max Bandits. - Yu Chen 074; Siwei Wang 002; Longbo Huang; Wei Chen 034 (CoRR, 2025)

Proxy-Free GFlowNet. - Ruishuo Chen; Xun Wang 013; Rui Hu; Zhuoran Li; Longbo Huang (CoRR, 2025)

Reparameterization Proximal Policy Optimization. - Hai Zhong; Xun Wang 013; Zhuoran Li; Longbo Huang (CoRR, 2025)

OM2P: Offline Multi-Agent Mean-Flow Policy. - Zhuoran Li; Xun Wang 013; Hai Zhong; Longbo Huang (CoRR, 2025)

Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants. - Yuhao Liu; Rui Hu; Yu Chen 074; Longbo Huang (CoRR, 2025)