Tian Lan
Orcid: 0000-0003-3010-8090Affiliations:
- George Washington University, Department of Electrical and Computer Engineering, Washington, DC, USA
- Princeton University, Department of Electrical Engineering, Princeton, NJ, USA (PhD 2010)
According to our database1,
Tian Lan
authored at least 162 papers
between 2007 and 2025.
Collaborative distances:
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Bibliography
2025
IEEE Trans. Mob. Comput., January, 2025
2024
Multi-Memristor Based Distributed Decision Tree Circuit for Cybersecurity Applications.
IEEE Trans. Circuits Syst. I Regul. Pap., August, 2024
AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy.
IEEE Trans. Mob. Comput., June, 2024
SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications.
IEEE Trans. Mob. Comput., May, 2024
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design.
IEEE/ACM Trans. Netw., April, 2024
DTRAP, 2024
CoRR, 2024
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions.
CoRR, 2024
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024
Characterizing and Optimizing the End-to-End Performance of Multi-Agent Reinforcement Learning Systems.
Proceedings of the IEEE International Symposium on Workload Characterization, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE Conference on Control Technology and Applications, 2024
Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE/ACM Trans. Netw., December, 2023
Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
IEEE Trans. Artif. Intell., October, 2023
IEEE Commun. Mag., October, 2023
A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints.
IEEE Trans. Veh. Technol., May, 2023
Forseti: Dynamic chunk-level reshaping for data processing on heterogeneous clusters.
J. Parallel Distributed Comput., January, 2023
Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning.
CoRR, 2023
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning.
CoRR, 2023
CoRR, 2023
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients.
CoRR, 2023
Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning.
CoRR, 2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning.
CoRR, 2023
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Communication Resources Limited Decentralized Learning with Privacy Guarantee through Over-the-Air Computation.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023
Proceedings of the Twenty-fourth International Symposium on Theory, 2023
Exploiting Partial Common Information Microstructure for Multi-modal Brain Tumor Segmentation.
Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023
Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the International Conference on Machine Learning, 2023
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-Aware Prioritization.
Proceedings of the 34th IEEE International Conference on Application-specific Systems, 2023
2022
Pushing Collaborative Data Deduplication to the Network Edge: An Optimization Framework and System Design.
IEEE Trans. Netw. Sci. Eng., 2022
IEEE Trans. Netw. Sci. Eng., 2022
ACM Trans. Intell. Syst. Technol., 2022
IEEE J. Sel. Areas Commun., 2022
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process.
CoRR, 2022
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions.
CoRR, 2022
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning.
CoRR, 2022
CoRR, 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning.
CoRR, 2022
CoRR, 2022
Algorithms, 2022
PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Verify-Pro: A Framework for Server Authentication Using Communication Protocol Dialects.
Proceedings of the IEEE Military Communications Conference, 2022
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
Optimizing Job Reliability Through Contention-Free, Distributed Checkpoint Scheduling.
IEEE Trans. Netw. Serv. Manag., 2021
IEEE Trans. Netw. Serv. Manag., 2021
IEEE Trans. Cloud Comput., 2021
J. Parallel Distributed Comput., 2021
Found. Trends Commun. Inf. Theory, 2021
PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer.
CoRR, 2021
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021
Proceedings of the Security and Privacy in Communication Networks, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Bringing Fairness to Actor-Critic Reinforcement Learning for Network Utility Optimization.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021
2020
IEEE Trans. Netw. Serv. Manag., 2020
Comput. Secur., 2020
Proceedings of the IEEE 14th International Workshop on Software Clones, 2020
HotDedup: Managing Hot Data Storage at Network Edge through Optimal Distributed Deduplication.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the 28th IEEE International Conference on Network Protocols, 2020
Hunting Garbage Collection Related Concurrency Bugs through Critical Condition Restoration.
Proceedings of the 2020 ACM Workshop on Forming an Ecosystem Around Software Transformation, 2020
2019
IEEE Trans. Netw. Serv. Manag., 2019
IEEE Trans. Netw. Serv. Manag., 2019
IEEE Trans. Mob. Comput., 2019
DeepChunk: Deep Q-Learning for Chunk-Based Caching in Wireless Data Processing Networks.
IEEE Trans. Cogn. Commun. Netw., 2019
Differentiated Latency in Data Center Networks with Erasure Coded Files Through Traffic Engineering.
IEEE Trans. Cloud Comput., 2019
AMASS: Automated Software Mass Customization via Feature Identification and Tailoring.
EAI Endorsed Trans. Security Safety, 2019
CoRR, 2019
IEEE Access, 2019
Hecate: Automated Customization of Program and Communication Features to Reduce Attack Surfaces.
Proceedings of the Security and Privacy in Communication Networks, 2019
Proceedings of the Security and Privacy in Communication Networks, 2019
A Reinforcement Learning Approach for Online Service Tree Placement in Edge Computing.
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019
Proceedings of the 3rd ACM Workshop on Forming an Ecosystem Around Software Transformation, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
Joint Scheduling and Source Selection for Background Traffic in Erasure-Coded Storage.
IEEE Trans. Parallel Distributed Syst., 2018
Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018
Chronos: A Unifying Optimization Framework for Speculative Execution of Deadline-Critical MapReduce Jobs.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Proceedings of the 2018 IEEE International Conference on Communications, 2018
Proceedings of the IEEE Global Communications Conference, 2018
Proceedings of the 2018 Workshop on Forming an Ecosystem Around Software Transformation, 2018
Proceedings of the 2018 Workshop on Forming an Ecosystem Around Software Transformation, 2018
MORPH: Enhancing System Security through Interactive Customization of Application and Communication Protocol Features.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018
2017
Elastic Reliability Optimization Through Peer-to-Peer Checkpointing in Cloud Computing.
IEEE Trans. Parallel Distributed Syst., 2017
IEEE Trans. Parallel Distributed Syst., 2017
Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage.
IEEE/ACM Trans. Netw., 2017
IEEE Trans. Netw. Serv. Manag., 2017
CoRR, 2017
Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05, 2017
Proceedings of the ICT Systems Security and Privacy Protection, 2017
Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
S3: Joint Scheduling and Source Selection for Background Traffic in Erasure-Coded Storage.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
MobiQoR: Pushing the Envelope of Mobile Edge Computing Via Quality-of-Result Optimization.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
LASER: A Deep Learning Approach for Speculative Execution and Replication of Deadline-Critical Jobs in Cloud.
Proceedings of the 26th International Conference on Computer Communication and Networks, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017
Proceedings of the 2017 Workshop on Forming an Ecosystem Around Software Transformation, 2017
2016
IEEE/ACM Trans. Netw., 2016
SARRE: Semantics-Aware Rule Recommendation and Enforcement for Event Paths on Android.
IEEE Trans. Inf. Forensics Secur., 2016
CoRR, 2016
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016
2015
Int. J. Distributed Sens. Networks, 2015
Proceedings of the Security and Privacy in Communication Networks, 2015
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015
Multi-tenant Latency Optimization in Erasure-Coded Storage with Differentiated Services.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
2014
SIGMETRICS Perform. Evaluation Rev., 2014
Optimizing job reliability via contention-free, distributed scheduling of vm checkpointing.
Proceedings of the 2014 ACM SIGCOMM workshop on Distributed cloud computing, 2014
Proceedings of the 20th Annual International Conference on Mobile Computing and Networking, 2014
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014
2013
IEEE/ACM Trans. Netw., 2013
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2013
Proceedings of the 7th IEEE International Conference on Self-Adaptation and Self-Organizing Systems Workshops, 2013
2012
Proceedings of the Sixth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, 2012
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012
Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012
Proceedings of IEEE International Conference on Communications, 2012
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012
2011
Proceedings of the Theoretical Aspects of Distributed Computing in Sensor Networks, 2011
IEEE/ACM Trans. Netw., 2011
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
2010
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010
Resource Allocation and Performance Study for LTE Networks Integrated with Femtocells.
Proceedings of the Global Communications Conference, 2010
2009
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009
2008
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008
2007
Proceedings of the IEEE International Symposium on Information Theory, 2007