Energy efficient resource allocation in heterogeneous software defined network: A reverse combinatorial auction approach. - Di Zhang 004; Zheng Chang 001; Mikhail Zolotukhin; Timo Hämäläinen 002 (ICCC, 2015)

A double auction mechanism for virtual resource allocation in SDN-based cellular network. - Di Zhang 004; Zheng Chang 001; Fei Richard Yu; Xianfu Chen; Timo Hämäläinen 002 (PIMRC, 2016)

Reverse Combinatorial Auction Based Resource Allocation in Heterogeneous Software Defined Network with Infrastructure Sharing. - Di Zhang 004; Zheng Chang 001; Timo Hämäläinen 002 (VTC Spring, 2016)

Double Auction Based Multi-Flow Transmission in Software-Defined and Virtualized Wireless Networks. - Di Zhang 004; Zheng Chang 001; Timo Hämäläinen 002; Fei Richard Yu (IEEE Trans. Wirel. Commun., 2017)

A contract-based resource allocation mechanism in wireless virtualized network. - Di Zhang 004; Zheng Chang 001; Timo Hämäläinen 002; Weinan Gao (INFOCOM Workshops, 2018)

Incentive Mechanism for Resource Allocation in Wireless Virtualized Networks with Multiple Infrastructure Providers. - Zheng Chang 001; Di Zhang 004; Timo Hämäläinen 002; Zhu Han 001; Tapani Ristaniemi (IEEE Trans. Mob. Comput., 2020)

Joint User Association and Dynamic Beam Operation for High Latitude Muti-beam LEO Satellites. - Ruiji Duan; Chengchao Liang; Di Zhang 004; Timo Hämäläinen 002; Qianbin Chen (APCC, 2021)

Special Issue on Edge Intelligence for Immersive Communications. - Zheng Chang 001; Geyong Min; Xiaojiang Du; Zhiwei Zhao; Di Zhang 004 (IEEE Open J. Commun. Soc., 2021)

Black-box Adversarial Examples against Intelligent Beamforming in 5G Networks. - Mikhail Zolotukhin; Parsa Miraghaei; Di Zhang 004; Timo Hämäläinen 002; Wang Ke; Marja Dunderfelt (CSCN, 2022)

On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples. - Mikhail Zolotukhin; Parsa Miraghaei; Di Zhang 004; Timo Hämäläinen 002 (IEEE Access, 2022)

On Attacking Future 5G Networks with Adversarial Examples: Survey. - Mikhail Zolotukhin; Di Zhang 004; Timo Hämäläinen 002; Parsa Miraghaei (Network, 2023)

Generative Diffusion Model-Based Deep Reinforcement Learning for Uplink Rate-Splitting Multiple Access in LEO Satellite Networks. - Xingjie Wang; Kan Wang; Di Zhang 004; Junhuai Li; Momiao Zhou; Timo Hämäläinen 002 (ISCC, 2024)