We build practical, affordable AI systems for the edge. Our work spans on‑device LLMs, IRS‑assisted spectrum sharing, federated learning, and robust, privacy‑preserving wireless networks for smart cities and industrial IoT.
CIDER Lab focuses on advancing next‑generation intelligent wireless communication, edge intelligence applications, and affordable AI solutions. We emphasize energy‑aware and secure learning across heterogeneous devices, targeting real‑world deployments and reproducible research artifacts.
Decentralized training with secure aggregation and privacy‑preserving analytics for cross‑organization collaboration.
Modular CNN/GNN models to boost sensing accuracy and fairness in dynamic 6 GHz Wi‑Fi/NR‑U coexistence.
LLM/GenAI‑driven anomaly detection and rapid response for heterogeneous IoT deployments.
Topology‑aware power allocation and beamforming robust to eavesdropping and interference.
Lightweight camera‑only tracking and gesture interfaces for embedded and assistive systems.
Privacy‑preserving assistants for recycling, 3D layout design, and domain‑specific edge reasoning.
Received NSF Collaborative Research CISE Core Small NeTS Grant ($60,000) as Lead PI for "Intelligent Reflecting Surface Assisted Physical Layer Security Enhancement" with collaborators from UGA and UCSC.
Our CIDER Lab project WildfireRFM won the 1st prize in KumoRFM Hackathon, congratulations to Binrong Zhu, Guiran Liu, and Yang Liu.
Received NSF CRII Grant ($175,000) as Single-PI for "Spectrum Sharing and Sensing Networks" research project.
Our research project has been selected for the Gilead Innovation Initiative 2025 Summer Research Award, with $5,000 to Binrong Zhu and $5,000 to Yang Liu.
Congratulations to Xu Gu for being selected as the 2025 SFSU Graduate Distinguished Achievement Award Recipient.
Congratulations to Satvik Verma, Xu Gu, and Ruxue Jin on their graduation.
Satvik Verma presented our research at AAAI 2025 Spring Symposium.
S. Verma, Q. Wang, E. W. Bethel, "Intelligent IoT Attack Detection via ODLLM," accepted by AAAI 2025 Spring Symposium.
W. Guo, Q. Wang, H. Yue, H. Sun, R. Q. Hu, "Efficient Phishing URL Detection Using Graph-based Machine Learning and Loopy Belief Propagation." Accepted by IEEE ICC 2025.
S. Liu, Q. Wang, Z. Qin, W. Zhang, J. Wang, X. Ma, "IRS Assisted Decentralized Learning for Wideband Spectrum Sensing." Accepted by ISICN 2025.
D. Chen, Q. Wang, H. Sun, Y. Hao, "GNN Based PLS Enhancement for Next Generation Spectrum Sharing Industrial Networks." Accepted by ISICN 2025.
Q. Wang, Y. Lu, G. Liu, B. Zhu, Y. Liu, "LLM‑Assisted Alpha‑Fairness for 6 GHz Wi‑Fi/NR‑U Coexistence: An Agentic Orchestrator for Throughput, Energy, and SLA." Accepted by IEEE IEMCON 2025.
G. Liu, B. Zhu, Y. Liu, Q. Wang, "Design of a Cross-Layer AI Agent for Secure Spectrum-Aware Network Slicing." Accepted by Chen Institute Symposium for AI Accelerated Science 2025.
Invited to attend NSF NeTS Early Career Workshop 2025 with travel support.
Congratulations to Satvik Verma and Sicheng Liu for their student abstract accepted by IEEE DSAA'24 with travel support.
Guest editor for the Special Issue "Cognitive Semantic Communications for 6G Wireless Networks", VSI: CSC-6GWN in Physical Communication (IF: 2.0).
J. Xu, Q. Wang, Y. Cao, B. Zeng, S. Liu, "A general-purpose device for interaction with llms." Accepted by Future Technologies Conference (FTC) 2024.
X. Ma, Q. Wang, H. Sun, R. Q. Hu, Y. Qian, "CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning." IEEE ICC 2024.
M. Xiang, Y. Zhou, H. Zhang, Q. Wang, H. Sun, H. Wang, R. Q. Hu, "Exploring Communication Technologies, Standards, and Challenges in Electrified Vehicle Charging." Accepted by IEEE Open Journal of the Communications Society (IF: 6.3).
Received NSF Discovery Research PreK-12 Grant ($1,396,551) as Co-PI for "Design Effective and Equitable Professional Learning for Middle School Computer Science Teachers".
Received SFSU RSCA Fund Award as Co-PI for "Intelligent Wireless Spectrum Monitoring with Decentralized On-device Learning" (Internal Funding, Spring 2023).
Email: qunwang@sfsu.edu
Links: Publications · CRII Project · Faculty Page
We are recruiting motivated MS/BS students. If you are interested in edge AI, on‑device LLMs, spectrum sharing, or wireless security, email your CV and research interests.