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Bai Liu 0003
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Bai Liu — disambiguation page
- Bai Liu 0001
— Jilin University, Changchun, China - Bai Liu 0002
— Fuxi AI Lab, NetEase, Inc., Hangzhou, China - Bai Liu 0004
— Hubei University of Technology, China
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2020 – today
- 2024
[j5]Bai Liu
, Quang Minh Nguyen, Qingkai Liang, Eytan H. Modiano
:
Tracking Drift-Plus-Penalty: Utility Maximization for Partially Observable and Controllable Networks. IEEE/ACM Trans. Netw. 32(2): 1064-1079 (2024)- 2023
[j4]Bai Liu
, Qingkai Liang, Eytan H. Modiano:
Tracking MaxWeight: Optimal Control for Partially Observable and Controllable Networks. IEEE/ACM Trans. Netw. 31(4): 1809-1821 (2023)- 2022
[j3]Bai Liu, Eytan H. Modiano:
Optimal Control for Networks with Unobservable MaliciousNodes. SIGMETRICS Perform. Evaluation Rev. 49(3): 18-19 (2022)
[j2]Bai Liu
, Qiaomin Xie
, Eytan H. Modiano
:
RL-QN: A Reinforcement Learning Framework for Optimal Control of Queueing Systems. ACM Trans. Model. Perform. Evaluation Comput. Syst. 7(1): 2:1-2:35 (2022)
[c2]Bai Liu, Eytan H. Modiano:
Universal Policy Tracking: Scheduling for Wireless Networks with Delayed State Observation. Allerton 2022: 1-8
[i3]Bai Liu, Eytan H. Modiano:
Universal Policy Tracking: Scheduling for Wireless Networks with Delayed State Observation. CoRR abs/2209.13812 (2022)- 2021
[j1]Bai Liu
, Eytan H. Modiano:
Optimal control for networks with unobservable malicious nodes. Perform. Evaluation 151: 102230 (2021)- 2020
[i2]Bai Liu, Qiaomin Xie, Eytan H. Modiano:
RL-QN: A Reinforcement Learning Framework for Optimal Control of Queueing Systems. CoRR abs/2011.07401 (2020)
2010 – 2019
- 2019
[c1]Bai Liu
, Qiaomin Xie, Eytan H. Modiano:
Reinforcement Learning for Optimal Control of Queueing Systems. Allerton 2019: 663-670- 2016
[i1]Bai Liu
, Ke Han, Jianming Hu:
Global optimization framework for real-time route guidance via variable message sign. CoRR abs/1611.08343 (2016)

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