Jian Li

Orcid: 0000-0003-3642-3569

Affiliations:
  • Binghamton University (SUNY), Department of Electrical and Computer Engineering, Binghamton, NY, USA
  • University of Massachusetts, College of Information and Computer Sciences, Amherst, MA, USA (2017 - 2019)
  • Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA (PhD 2016)
  • Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China


According to our database1, Jian Li authored at least 77 papers between 2011 and 2024.

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Bibliography

2024
Freyr $^+$+: Harvesting Idle Resources in Serverless Computing via Deep Reinforcement Learning.
IEEE Trans. Parallel Distributed Syst., November, 2024

Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks.
IEEE Trans. Wirel. Commun., October, 2024

Whittle Index-Based Q-Learning for Wireless Edge Caching With Linear Function Approximation.
IEEE/ACM Trans. Netw., October, 2024

A survey of VNF forwarding graph embedding in B5G/6G networks.
Wirel. Networks, July, 2024

DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback.
CoRR, 2024

Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods.
Proceedings of the 27th International Symposium on Research in Attacks, 2024

Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates.
Proceedings of the Twenty-fifth International Symposium on Theory, 2024

FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach.
IEEE Trans. Netw. Serv. Manag., December, 2023

Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach.
IEEE/ACM Trans. Netw., October, 2023

CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Applied Online Algorithms with Heterogeneous Predictors.
Proceedings of the International Conference on Machine Learning, 2023

Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
DRL-D: Revenue-Aware Online Service Function Chain Deployment via Deep Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., December, 2022

A Survey on Federated Learning for Resource-Constrained IoT Devices.
IEEE Internet Things J., 2022

Model-free Reinforcement Learning for Content Caching at the Wireless Edge via Restless Bandits.
CoRR, 2022

Accelerating Serverless Computing by Harvesting Idle Resources.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Latency Awareness for Content Delivery Network Caching.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022

Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Index-aware reinforcement learning for adaptive video streaming at the wireless edge.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

Peak Demand Optimization of Commercial Buildings Based on Energy Storage Systems.
Proceedings of the IEEE Global Communications Conference, 2022

Seizing Critical Learning Periods in Federated Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Let's Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds.
IEEE Trans. Netw. Serv. Manag., 2021

PA-Cache: Evolving Learning-Based Popularity- Aware Content Caching in Edge Networks.
IEEE Trans. Netw. Serv. Manag., 2021

FedADMP: A Joint Anomaly Detection and Mobility Prediction Framework via Federated Learning.
EAI Endorsed Trans. Security Safety, 2021

Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits.
CoRR, 2021

Critical Learning Periods in Federated Learning.
CoRR, 2021

Harvesting Idle Resources in Serverless Computing via Reinforcement Learning.
CoRR, 2021

Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers.
CoRR, 2021

Learning Augmented Index Policy for Optimal Service Placement at the Network Edge.
CoRR, 2021

A TTL-based Approach for Content Placement in Edge Networks.
Proceedings of the Performance Evaluation Methodologies and Tools, 2021

Online Peak-Aware Energy Scheduling with Untrusted Advice.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Learning from optimal caching for content delivery.
Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021

Leveraging Different Types of Predictors for Online Optimization (Invited Paper).
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020
Quickest Detection of Dynamic Events in Networks.
IEEE Trans. Inf. Theory, 2020

Optimal Energy Consumption for Communication, Computation, Caching, and Quality Guarantee.
IEEE Trans. Control. Netw. Syst., 2020

Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art.
CoRR, 2020

PA-Cache: Learning-based Popularity-Aware Content Caching in Edge Networks.
CoRR, 2020

Online Algorithms for Multi-shop Ski Rental with Machine Learned Predictions.
CoRR, 2020

Network cache design under stationary requests: Exact analysis and Poisson approximation.
Comput. Networks, 2020

Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

RL-Bélády: A Unified Learning Framework for Content Caching.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

GCN-TD: A Learning-based Approach for Service Function Chain Deployment on the Fly.
Proceedings of the IEEE Global Communications Conference, 2020

2019
A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics.
Proc. ACM Meas. Anal. Comput. Syst., 2019

Learning-Assisted Competitive Algorithms for Peak-Aware Energy Scheduling.
CoRR, 2019

Jointly Compressing and Caching Data in Wireless Sensor Networks.
Proceedings of the IEEE International Conference on Smart Computing, 2019

Distributed Quickest Detection of Significant Events in Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

gl2vec: learning feature representation using graphlets for directed networks.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

A Consensus-based Approach for Distributed Quickest Detection of Significant Events in Networks.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Mean Field Games in Nudge Systems for Societal Networks.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018

Accurate Learning or Fast Mixing? Dynamic Adaptability of Caching Algorithms.
IEEE J. Sel. Areas Commun., 2018

A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds.
CoRR, 2018

Network Classification in Temporal Networks Using Motifs.
CoRR, 2018

Joint Data Compression and Caching: Approaching Optimality with Guarantees.
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge.
Proceedings of the 2018 on Technologies for the Wireless Edge Workshop, 2018

Network Cache Design Under Stationary Requests: Exact Analysis and Poisson Approximation.
Proceedings of the 26th IEEE International Symposium on Modeling, 2018

DR-Cache: Distributed Resilient Caching with Latency Guarantees.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Optimal Energy Tradeoff Among Communication, Computation and Caching with QoI-Guarantee.
Proceedings of the IEEE Global Communications Conference, 2018

Quickest Detection of Significant Events in Structured Networks.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Incentivizing Sharing in Realtime D2D Streaming Networks: A Mean Field Game Perspective.
IEEE/ACM Trans. Netw., 2017

Hit Rate vs. Hit Probability Based Cache Utility Maximization.
SIGMETRICS Perform. Evaluation Rev., 2017

Network Cache Design under Stationary Requests: Challenges, Algorithms and Experiments.
CoRR, 2017

What, When and Where to Cache: A Unified Optimization Approach.
CoRR, 2017

2016
Optimal resource capacity management for stochastic loss network systems with applications in clouds and data centers.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Energy Coupon: A Mean Field Game Perspective on Demand Response in Smart Grids.
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

2012
Group Multicast Capacity in Large Scale Wireless Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2012

Throughput and Delay with Network Coding in Hybrid Mobile Ad Hoc Networks: A Global Perspective.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2012

Multicast capacity of wireless ad hoc networks with infrastructure support.
Proceedings of IEEE International Conference on Communications, 2012

Capacity in arbitrary wireless ad hoc networks with MIMO and power constraint.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

2011
Multicast Capacity-Delay Tradeoff with Network Coding in MANETs.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2011


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