Online Learning Enabled Task Offloading for Vehicular Edge Computing. - Rui Zhang 042; Peng Cheng 002; Zhuo Chen 001; Sige Liu; Yonghui Li 001; Branka Vucetic (IEEE Wirel. Commun. Lett., 2020)

User-Oriented Task Offloading for Mobile Edge Computing in Ultra-Dense Networks. - Sige Liu; Peng Cheng 002; Zhuo Chen 001; Wei Xiang 001; Branka Vucetic; Yonghui Li 001 (GLOBECOM, 2021)

A Contextual Bandit Learning Based Quality Test System in 5G-Enabled IIoT. - Sige Liu; Peng Cheng 002; Zhuo Chen 001; Wei Xiang 001; Branka Vucetic; Yonghui Li 001 (INDIN, 2022)

Research on Power Grid Investment Portfolio Optimization Method Based on Deep Deterministic Policy Gradient Algorithm. - Lang Zhao; Jing Wu; Yuheng Sha; Zhuo Song; Sige Liu; Qiuxia Yu (RICAI, 2022)

Calibrated Bandit Learning for Decentralized Task Offloading in Ultra-Dense Networks. - Rui Zhang 042; Peng Cheng 002; Zhuo Chen 001; Sige Liu; Branka Vucetic; Yonghui Li 001 (IEEE Trans. Commun., 2022)

An Evolutionary Edge Computing Architecture for the Beyond 5G Era. - Elli Kartsakli; Jordi Pérez-Romero; Nikolaos G. Bartzoudis; Oriol Sallent; Oluwatayo Y. Kolawole; Xin Tao 003; Swarup Kumar Mohalik; Tomasz Mach; Sige Liu; Yansha Deng; Gianluca Mandò; Angelos Antonopoulos 001; et al. (CAMAD, 2023)

A Learning-Based Context-Aware Quality Test System in B5G-Aided Advanced Manufacturing. - Sige Liu; Peng Cheng 002; Zhuo Chen 001; Kan Yu 002; Wei Xiang 001; Jun Li 004; Branka Vucetic; Yonghui Li 001 (IEEE Trans. Ind. Informatics, 2023)

Deep Reinforcement Learning for Online Resource Allocation in IoT Networks: Technology, Development, and Future Challenges. - Peng Cheng 002; Youjia Chen; Ming Ding 001; Zhuo Chen 001; Sige Liu; Yi-Ping Phoebe Chen (IEEE Commun. Mag., 2023)

Contextual User-Centric Task Offloading for Mobile Edge Computing in Ultra-Dense Network. - Sige Liu; Peng Cheng 002; Zhuo Chen 001; Wei Xiang 001; Branka Vucetic; Yonghui Li 001 (IEEE Trans. Mob. Comput., 2023)

Goal-Oriented Semantic Communication for Wireless Visual Question Answering. - Sige Liu; Nan Li; Yansha Deng; Tony Q. S. Quek (CoRR, 2024)

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences. - Adnan Shahid; Adrian Kliks; Ahmed Al-Tahmeesschi; Ahmed Elbakary; Alexandros Nikou; Ali Maatouk; Ali Mokh; Amirreza Kazemi; Antonio De Domenico; Athanasios Karapantelakis; Bo Cheng 001; Bo Yang 035; et al. (CoRR, 2025)