Standout Papers

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization 2024 202679
  1. Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization (2024)
    Hongyang Du, Ruichen Zhang et al. IEEE Communications Surveys & Tutorials

Immediate Impact

25 standout
Sub-graph 1 of 8

Citing Papers

RIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications
2024 Standout
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers
2024 Standout
4 intermediate papers

Works of Yijing Lin being referenced

Blockchain-Aided Secure Semantic Communication for AI-Generated Content in Metaverse
2023
Efficient Consensus and Elastic Resource Allocation Empowered Blockchain for Vehicular Networks
2022
and 2 more

Author Peers

Author Last Decade Papers Cites
Yijing Lin 91 113 90 21 264
Yu‐Beng Leau 84 148 93 27 275
Xiaoxu Ren 93 108 54 26 240
Madhuri Siddula 88 105 116 17 261
Ammar T. Zahary 111 163 48 26 282
Abdullah Alabdulatif 90 115 105 22 305
Yuna Jiang 113 159 72 14 305
Farnaz Derakhshan 57 137 94 16 262
Amid Khatibi Bardsiri 116 97 88 31 264
Ranbir Singh Batth 79 151 68 25 274
Adel Aneiba 80 174 53 26 309

All Works

Loading papers...

Rankless by CCL
2026