Baojia Li

According to our database, Baojia Li authored at least 16 papers between 1999 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Privacy and security trade-off in interconnected systems with known or unknown privacy noise covariance.

Haojun Wang, Kun Liu, Baojia Li, Emilia Fridman, Yuanqing Xia

Autom., 2025

2024

TCCL: Co-optimizing Collective Communication and Traffic Routing for GPU-centric Clusters.

Baojia Li, Xiaoliang Wang, Jingzhu Wang, Yifan Liu, Yuanyuan Gong, Hao Lu, Weizhen Dang, Weifeng Zhang, Xiaojie Huang, Mingzhuo Chen, Jie Chen, Chunzhi He, Yadong Liu, Xiaoyuan Hu, Chen Liu, Xuefeng Ji, Yinben Xia, Xiang Li, Zekun He, Yachen Wang, Xianneng Zou

Proceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing, 2024

2022

To Cooperate or Not to Cooperate: Service Function Chaining in Multi-Domain Edge-Cloud Elastic Optical Networks.

Sijia Li, Baojia Li, Zuqing Zhu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

2021

Multi-Agent and Cooperative Deep Reinforcement Learning for Scalable Network Automation in Multi-Domain SD-EONs.

Baojia Li, Ruyun Zhang, Xiaojian Tian, Zuqing Zhu

IEEE Trans. Netw. Serv. Manag., 2021

Reconfiguring multicast sessions in elastic optical networks adaptively with graph-aware deep reinforcement learning.

Xiaojian Tian, Baojia Li, Rentao Gu, Zuqing Zhu

JOCN, 2021

2020

Deep-NFVOrch: leveraging deep reinforcement learning to achieve adaptive vNF service chaining in DCI-EONs.

Baojia Li, Wei Lu, Zuqing Zhu

JOCN, 2020

AI-Assisted Knowledge-Defined Network Orchestration for Energy-Efficient Data Center Networks.

Wei Lu, Lipei Liang, Bingxin Kong, Baojia Li, Zuqing Zhu

IEEE Commun. Mag., 2020

DeepCoop: Leveraging Cooperative DRL Agents to Achieve Scalable Network Automation for Multi-Domain SD-EONs.

Baojia Li, Zuqing Zhu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

2019

DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks.

Xiaoliang Chen, Baojia Li, Roberto Proietti, Hongbo Lu, Zuqing Zhu, S. J. Ben Yoo

CoRR, 2019

Deep-NFVOrch: Deep Reinforcement Learning based Service Framework for Adaptive vNF Service Chaining in IDC-EONs.

Baojia Li, Wei Lu, Zuqing Zhu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

Multi-Agent Deep Reinforcement Learning in Cognitive Inter-Domain Networking with Multi-Broker Orchestration.

Xiaoliang Chen, Baojia Li, Roberto Proietti, Zuqing Zhu, S. J. Ben Yoo

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

2018

Deep-Learning-Assisted Network Orchestration for On-Demand and Cost-Effective vNF Service Chaining in Inter-DC Elastic Optical Networks.

Baojia Li, Wei Lu, Siqi Liu, Zuqing Zhu

JOCN, 2018

Realizing AI-AssistedMulti-Layer Restoration in a Software-Defined IP-over-EON with Deep Learning: An Experimental Study.

Siqi Liu, Baojia Li, Zuqing Zhu

Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

Leveraging Predictive Analytics to Achieve Knowledge-Defined Orchestration in a Hybrid Optical/Electrical DC Network: Collaborative Forecasting and Decision Making.

Wei Lu, Lipei Liang, Bingxin Kong, Baojia Li, Zuqing Zhu

Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

2010

Adjusting the Clustering Results Referencing an External Set.

Baojia Li, Yongqian Liu, MingZhu Liu

Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

1999

Optimum acceleration parameter for the GSOR method.

Changjun Li, Baojia Li, David J. Evans

Neural Parallel Sci. Comput., 1999