Analysis of prefix hijacking based on AS hierarchical model. - Bofeng Zhang; Yuan Li 011; Yujing Liu; Jinshu Su (NSS, 2011)

A fast and transparent communication protocol for co-resident virtual machines. - Yi Ren; Ling Liu 001; Xiaojian Liu; Jinzhu Kong; Huadong Dai; Qingbo Wu 003; Yuan Li 011 (CollaborateCom, 2012)

Parallelizing sparse LU decomposition on FPGAs. - Guiming Wu; Xianghui Xie 001; Yong Dou; Junqing Sun; Dong Wu; Yuan Li 011 (FPT, 2012)

Improving minimum flow rate in wireless mesh networks by effective placement of directional antennas. - Yuan Li 011; Michal Pióro; Björn Landfeldt (MSWiM, 2013)

Integer programming models for maximizing parallel transmissions in wireless networks. - Yuan Li 011; Michal Pióro (Electron. Notes Discret. Math., 2013)

Resilient topology design for free space optical cellular backhaul networking. - Yuan Li 011; Nikolaos Pappas 001; Vangelis Angelakis; Michal Pióro; Di Yuan 001 (GLOBECOM Workshops, 2014)

Optimizing compatible sets in wireless networks through integer programming. - Yuan Li 011; Michal Pióro; Di Yuan 001; Jinshu Su (EURO J. Comput. Optim., 2014)

On end-to-end delay minimization in wireless networks under the physical interference model. - Yuan Li 011; Antonio Capone; Di Yuan 001 (INFOCOM, 2015)

Optimization of Free Space Optical Wireless Network for Cellular Backhauling. - Yuan Li 011; Nikolaos Pappas 001; Vangelis Angelakis; Michal Pióro; Di Yuan 001 (IEEE J. Sel. Areas Commun., 2015)

Fair flow rate optimization by effective placement of directional antennas in wireless mesh networks. - Yuan Li 011; Michal Pióro; Björn Landfeldt (Perform. Evaluation, 2015)

Exact and Approximation Algorithms for Optimal Equipment Selection in Deploying In-Building Distributed Antenna Systems. - David Adjiashvili; Sandro Bosio; Yuan Li 011; Di Yuan 001 (IEEE Trans. Mob. Comput., 2015)

Mathematical Models and Algorithms for Wireless Network Design and Optimization. - Yuan Li 011 (2015)

On packet transmission scheduling for min-max delay and energy consumption in wireless mesh sensor networks. - Antonio Capone; Michal Pióro; Yuan Li 011; Di Yuan 001 (Electron. Notes Discret. Math., 2016)

Optimizing link rate assignment and transmission scheduling in WMN through compatible set generation. - Yuan Li 011; Michal Pióro; Di Yuan 001; Jinshu Su (Telecommun. Syst., 2016)

Multiagent Reinforcement Learning for Swarm Confrontation Environments. - Guanyu Zhang; Yuan Li 011; Xinhai Xu; Huadong Dai (ICIRA (3), 2019)

Joint Optimization of Multi-UAV Target Assignment and Path Planning Based on Multi-Agent Reinforcement Learning. - Han Qie; Dianxi Shi; Tianlong Shen; Xinhai Xu; Yuan Li 011; Liujing Wang (IEEE Access, 2019)

Efficient Training Techniques for Multi-Agent Reinforcement Learning in Combat Tasks. - Guanyu Zhang; Yuan Li 011; Xinhai Xu; Huadong Dai (IEEE Access, 2019)

Minimizing end-to-end delay in multi-hop wireless networks with optimized transmission scheduling. - Antonio Capone; Yuan Li 011; Michal Pióro; Di Yuan 001 (Ad Hoc Networks, 2019)

Learning Distinct Strategies for Heterogeneous Cooperative Multi-agent Reinforcement Learning. - Kejia Wan; Xinhai Xu; Yuan Li 011 (ICANN (4), 2021)

Improving Generalization of Reinforcement Learning for Multi-agent Combating Games. - Kejia Wan; Xinhai Xu; Yuan Li 011 (ICONIP (2), 2021)

Learning Attentive Cooperation in Multi-agent Reinforcement Learning with Graph Convolutional Network. - Yuqi Zhu; Yuntao Liu 004; Xinhai Xu; Yuan Li 011 (ICONIP (5), 2021)

Temporal Dynamic Weighted Graph Convolution for Multi-agent Reinforcement Learning. - Yuntao Liu 004; Yong Dou; Yuan Li 011; Xinhai Xu; Donghong Liu (CogSci, 2022)

ROGC: Role-Oriented Graph Convolution Based Multi-Agent Reinforcement Learning. - Yuntao Liu 004; Yuan Li 011; Xinhai Xu; Donghong Liu; Yong Dou (ICME, 2022)

HierRL: Hierarchical Reinforcement Learning for Task Scheduling in Distributed Systems. - Yanxia Guan; Yuntao Liu 004; Yuan Li 011; Xinhai Xu (IJCNN, 2022)

Heterogeneous Skill Learning for Multi-agent Tasks. - Yuntao Liu 004; Yuan Li 011; Xinhai Xu; Yong Dou; Donghong Liu (NeurIPS, 2022)

Attentive Reinforcement Learning for Scheduling Problem with Node Auto-scaling. - Yanxia Guan; Min Xie; Yuan Li 011; Xinhai Xu (SMC, 2022)