Yiyang Zhu

Orcid: 0009-0000-7641-7353

According to our database1, Yiyang Zhu authored at least 24 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Low-Complexity Multi-Agent Continual Learning for Stacked Intelligent Metasurface-Assisted Secure Communications.
CoRR, February, 2026

Beamforming Design for Beyond Diagonal RIS-Aided Cell-Free Massive MIMO Systems.
IEEE Wirel. Commun. Lett., 2026

Joint Precoding and AP Selection for Energy-Efficient RIS-Aided Cell-Free Massive MIMO With Multi-Agent Reinforcement Learning.
IEEE Trans. Wirel. Commun., 2026

Performance Optimization of RIS-Aided Cell-Free Massive MIMO Systems With DRL Approach.
IEEE Trans. Wirel. Commun., 2026

MaLAM4Com: Multi-Agent Cooperative Large AI Models for Wireless Communications.
IEEE J. Sel. Areas Commun., 2026

Scaling Law for Large Wireless Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
AKG kernel Agent: A Multi-Agent Framework for Cross-Platform Kernel Synthesis.
CoRR, December, 2025

WirelessMathLM: Teaching Mathematical Reasoning for LLMs in Wireless Communications with Reinforcement Learning.
CoRR, September, 2025

Uplink Performance of Stacked Intelligent Metasurface-Enhanced Cell-Free Massive MIMO Systems.
IEEE Trans. Wirel. Commun., May, 2025

Mobile Cell-Free Massive MIMO With Multi-Agent Reinforcement Learning: A Scalable Framework.
IEEE Trans. Wirel. Commun., March, 2025

Beamforming Design for Beyond Diagonal RIS-Aided Cell-Free Massive MIMO Systems.
CoRR, March, 2025

Joint Power Allocation and Phase Shift Design for Stacked Intelligent Metasurfaces-aided Cell-Free Massive MIMO Systems with MARL.
CoRR, February, 2025

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G.
CoRR, February, 2025

Joint Precoding and Phase Shift Design for RIS-Aided Cell-Free Massive MIMO With Heterogeneous-Agent Trust Region Policy.
IEEE Trans. Veh. Technol., January, 2025

Polygenic prediction for underrepresented populations through transfer learning by utilizing genetic similarity shared with European populations.
Briefings Bioinform., January, 2025

Robust Multidimensional Graph Neural Networks for Signal Processing in Wireless Communications With Edge-Graph Information Bottleneck.
IEEE Trans. Signal Process., 2025

2024
Cooperative Multi-Target Positioning for Cell-Free Massive MIMO With Multi-Agent Reinforcement Learning.
IEEE Trans. Wirel. Commun., December, 2024

Multi-Agent Reinforcement Learning-Based Joint Precoding and Phase Shift Optimization for RIS-Aided Cell-Free Massive MIMO Systems.
IEEE Trans. Veh. Technol., September, 2024

Joint Precoding and AP Selection for Energy Efficient RIS-aided Cell-Free Massive MIMO Using Multi-agent Reinforcement Learning.
CoRR, 2024

Harnessing Stacked Intelligent Metasurface for Enhanced Cell-Free Massive MIMO Systems: A Low-Power and Cost Approach.
CoRR, 2024

Uplink Performance of Stacked Intelligent Metasurface-enhanced Cell-Free Massive MIMO Systems.
Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024

Performance Analysis of RIS-Aided MISO Systems with EMI and Channel Aging.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Distributed Collaborative User Positioning for Cell-Free Massive MIMO with Multi-Agent Reinforcement Learning.
Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Uplink Performance and Beamforming Design of SIM-enhanced Cell-Free Massive MIMO Systems.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2024


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