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ORCIDTian Lan 0001
- > Home > Persons > Tian Lan 0001
Publications
- 2025
[j47]Chang-Lin Chen
, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Tian Lan, Zheqing Zhu, Chi Zhou, Pol Mauri Ruiz, Neeraj Kumar, Hongbo Dong, Vaneet Aggarwal:
Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation. IEEE Trans. Netw. Serv. Manag. 22(1): 572-581 (2025)- [c92]Zuyuan Zhang, Vaneet Aggarwal, Tian Lan:
Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration. INFOCOM 2025: 1-10 - [i59]Zuyuan Zhang, Vaneet Aggarwal, Tian Lan:
Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration. CoRR abs/2501.05673 (2025) - [i57]Chang-Lin Chen, Jiayu Chen, Tian Lan, Zhaoxia Zhao, Hongbo Dong, Vaneet Aggarwal:
Rack Position Optimization in Large-Scale Heterogeneous Data Centers. CoRR abs/2504.00277 (2025) - 2024
- [j41]Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal:
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. Trans. Mach. Learn. Res. 2024 (2024) - [j40]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Hierarchical Adversarial Inverse Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17549-17558 (2024) - [j39]Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu, Qing Li:
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. IEEE/ACM Trans. Netw. 32(2): 1003-1018 (2024) - [i55]Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal:
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. CoRR abs/2402.13777 (2024) - [i51]Jiayu Chen, Bhargav Ganguly, Tian Lan, Vaneet Aggarwal:
Variational Offline Multi-agent Skill Discovery. CoRR abs/2405.16386 (2024) - 2023
- [j37]Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu:
Machine Learning for Robust Network Design: A New Perspective. IEEE Commun. Mag. 61(10): 86-92 (2023) - [j35]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs. IEEE Trans. Artif. Intell. 4(5): 1141-1153 (2023) - [j34]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1351-1361 (2023) - [j32]Nan Geng, Qinbo Bai, Chenyi Liu, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu:
A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints. IEEE Trans. Veh. Technol. 72(5): 6753-6764 (2023) - [c75]Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal:
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. ICML 2023: 4895-4920 - [c74]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control. ICRA 2023: 5902-5908 - [c69]Jiayu Chen, Vaneet Aggarwal, Tian Lan:
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process. NeurIPS 2023 - [i43]Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal:
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. CoRR abs/2305.12633 (2023) - [i41]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Hierarchical Deep Counterfactual Regret Minimization. CoRR abs/2305.17327 (2023) - [i40]Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu, Qing Li:
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. CoRR abs/2305.19153 (2023) - [i38]Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Vaneet Aggarwal, Tian Lan, Zheqing Zhu, Chi Zhou, Tim Gasser, Pol Mauri Ruiz, Vijay Menon, Neeraj Kumar, Hongbo Dong:
Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning. CoRR abs/2306.17054 (2023) - [i37]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Scalable Multi-agent Skill Discovery based on Kronecker Graphs. CoRR abs/2307.11629 (2023) - [i34]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning. CoRR abs/2308.14897 (2023) - 2022
- [j31]Yimeng Wang, Mridul Agarwal, Tian Lan, Vaneet Aggarwal:
Learning-Based Online QoE Optimization in Multi-Agent Video Streaming. Algorithms 15(7): 227 (2022) - [c67]Mridul Agarwal, Vaneet Aggarwal, Tian Lan:
Multi-Objective Reinforcement Learning with Non-Linear Scalarization. AAMAS 2022: 9-17 - [c66]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs. AAMAS 2022: 1572-1574 - [c63]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs. NeurIPS 2022 - [c62]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning. NeurIPS 2022 - [i28]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. CoRR abs/2201.01247 (2022) - [i27]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs. CoRR abs/2201.08227 (2022) - [i23]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning. CoRR abs/2206.11420 (2022) - [i22]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Hierarchical Adversarial Inverse Reinforcement Learning. CoRR abs/2210.01969 (2022) - [i21]Jiayu Chen, Marina Haliem, Tian Lan, Vaneet Aggarwal:
Multi-agent Deep Covering Option Discovery. CoRR abs/2210.03269 (2022) - [i19]Jiayu Chen, Vaneet Aggarwal, Tian Lan:
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process. CoRR abs/2212.00211 (2022) - 2021
- [j26]Vaneet Aggarwal, Tian Lan:
Modeling and Optimization of Latency in Erasure-coded Storage Systems. Found. Trends Commun. Inf. Theory 18(3): 380-525 (2021) - [j25]Vaneet Aggarwal, Tian Lan, Dheeraj Peddireddy:
Preemptive scheduling on unrelated machines with fractional precedence constraints. J. Parallel Distributed Comput. 157: 280-286 (2021) - [j24]Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, Yih-Farn Chen:
FastTrack: Minimizing Stalls for CDN-Based Over-the-Top Video Streaming Systems. IEEE Trans. Cloud Comput. 9(4): 1453-1466 (2021) - [j22]Vaneet Aggarwal, Tian Lan, Suresh Subramaniam, Maotong Xu:
On the Approximability of Related Machine Scheduling Under Arbitrary Precedence. IEEE Trans. Netw. Serv. Manag. 18(3): 3706-3718 (2021) - [c61]Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal:
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. ICAPS 2021: 510-518 - [c56]Chenyi Liu, Nan Geng, Vaneet Aggarwal, Tian Lan, Yuan Yang, Mingwei Xu:
CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints. ECML/PKDD (1) 2021: 157-173 - [i18]Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal:
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. CoRR abs/2103.03450 (2021) - 2020
- [c52]Nan Geng, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu:
A Multi-agent Reinforcement Learning Perspective on Distributed Traffic Engineering. ICNP 2020: 1-11 - [i12]Vaneet Aggarwal, Tian Lan:
Modeling and Optimization of Latency in Erasure-coded Storage Systems. CoRR abs/2005.10855 (2020) - 2019
- [j17]Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan:
Differentiated Latency in Data Center Networks with Erasure Coded Files Through Traffic Engineering. IEEE Trans. Cloud Comput. 7(2): 495-508 (2019) - [j16]Yimeng Wang, Yongbo Li, Tian Lan, Vaneet Aggarwal:
DeepChunk: Deep Q-Learning for Chunk-Based Caching in Wireless Data Processing Networks. IEEE Trans. Cogn. Commun. Netw. 5(4): 1034-1045 (2019) - [j14]Yang Zhang, Arnob Ghosh, Vaneet Aggarwal, Tian Lan:
Tiered Cloud Storage via Two-Stage, Latency-Aware Bidding. IEEE Trans. Netw. Serv. Manag. 16(1): 176-191 (2019) - [j13]Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan:
TTLoC: Taming Tail Latency for Erasure-Coded Cloud Storage Systems. IEEE Trans. Netw. Serv. Manag. 16(4): 1609-1623 (2019) - [c49]Yimeng Wang, Yongbo Li, Tian Lan, Vaneet Aggarwal:
Deep Q-Learning for Chunk-based Caching in Data Processing Networks. Allerton 2019: 910-916 - 2018
- [i8]Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, Yih-Farn Robin Chen:
FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems. CoRR abs/1807.01147 (2018) - 2017
- [j11]Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Chen:
Optimizing Differentiated Latency in Multi-Tenant, Erasure-Coded Storage. IEEE Trans. Netw. Serv. Manag. 14(1): 204-216 (2017) - [j10]Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang:
Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage. IEEE/ACM Trans. Netw. 25(6): 3683-3694 (2017) - [c30]Vaneet Aggarwal, Jingxian Fan, Tian Lan:
Taming tail latency for erasure-coded, distributee storage systems. INFOCOM 2017: 1-9 - [i7]Vaneet Aggarwal, Abubakr O. Al-Abbasi, Jingxian Fan, Tian Lan:
Taming Tail Latency for Erasure-coded, Distributed Storage Systems. CoRR abs/1703.08337 (2017) - [i6]Vaneet Aggarwal, Maotong Xu, Tian Lan, Suresh Subramaniam:
On the Optimality of Scheduling Dependent MapReduce Tasks on Heterogeneous Machines. CoRR abs/1711.09964 (2017) - 2016
- [j6]Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen:
Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage. IEEE/ACM Trans. Netw. 24(4): 2443-2457 (2016) - [c23]Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang:
Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage. ICDCS 2016: 753-754 - [i5]Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan:
Differentiated latency in data center networks with erasure coded files through traffic engineering. CoRR abs/1602.05551 (2016) - [i4]Vaneet Aggarwal, Tian Lan:
Tail Index for a Distributed Storage System with Pareto File Size Distribution. CoRR abs/1607.06044 (2016) - [i3]Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang:
Sprout: A functional caching approach to minimize service latency in erasure-coded storage. CoRR abs/1609.09827 (2016) - 2015
- [c22]Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan:
Taming Latency in Data Center Networking with Erasure Coded Files. CCGRID 2015: 241-250 - [c21]Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen:
Multi-tenant Latency Optimization in Erasure-Coded Storage with Differentiated Services. ICDCS 2015: 790-791 - 2014
- [j4]Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen:
Joint latency and cost optimization for erasurecoded data center storage. SIGMETRICS Perform. Evaluation Rev. 42(2): 3-14 (2014) - [i2]Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen:
Joint Latency and Cost Optimization for Erasure-coded Data Center Storage. CoRR abs/1404.4975 (2014) - 2012
- [c13]Wei Wang, Peng Zhang, Tian Lan, Vaneet Aggarwal:
Datacenter net profit optimization with deadline dependent pricing. CISS 2012: 1-6
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