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Nuocheng Yang 杨诺诚

Ph.D. Student in Information and Communication Engineering

Beijing University of Posts and Telecommunications (BUPT) · School of Information and Communication Engineering

✉ yangnuocheng@bupt.edu.cn· ☎ +86 188 0132 8722· Beijing, China

nuocheng-yang-cv.vercel.app· Google Scholar· GitHub

Education

Sep 2023 – Present
Ph.D. Student, Information and Communication Engineering
Beijing University of Posts and Telecommunications (BUPT) — Advisor: Prof. Changchuan Yin · GPA 3.6/4.0, rank 15/144 · Expected graduation Jun 2027.
Jan 2026 – Present
Visiting Ph.D. Student (Joint Training), Information Systems Technology and Design
Singapore University of Technology and Design (SUTD) — Joint Ph.D. training with Prof. Tony Q. S. Quek, funded by the China Scholarship Council (CSC) (since Jan 3, 2026).
Jul 2024
Visiting Student (Academic Visit), Information and Communication Engineering
The University of Electro-Communications (UEC), Tokyo, Japan — Short-term academic visit, Jul 19–26, 2024.
2021 – 2023
M.Eng., Information and Communication Engineering
Beijing University of Posts and Telecommunications (BUPT) — GPA 3.7/4.0 · rank 13/685.
2017 – 2021
B.Eng., Information and Communication Engineering
Beijing University of Posts and Telecommunications (BUPT) — GPA: 3.3 / 4.0.

Research Interests

Distributed LLM Training & Fine-Tuning · On-Device Multimodal VLMs & Efficient Inference · Federated & Collaborative Learning · Learning for Network & Compute Orchestration · Semantic Communication & ISAC · Digital Twins & Wireless Systems

Publications

Author in bold = me.

2026
  1. N. Yang, L. Zhou, S. Wang, C. Yin, T. Q. S. Quek, “A Query-Driven Communication-Efficient Digital Twins Design for Autonomous Driving,” IEEE Transactions on Mobile Computing (under review). [Under Review]
  2. N. Yang, Y. He, S. Wang, M. Chen, Z. Chen, T. Q. S. Quek, C. Yin, “Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning,” IEEE Transactions on Network Science and Engineering (under review). [Under Review]
  3. N. Yang¹, S. Wang¹, O. Huan¹, M. Chen, C. Yin, “Collaborative LLM Fine-Tuning over Mobile Networks via Sparse-and-Orthogonal LoRA,” ICC 2026 – IEEE International Conference on Communications, Glasgow, Scotland, UK, May 2026 (¹ equal contribution). [Accepted]
  4. N. Yang, S. Wang, O. Huan, M. Chen, T. Q. S. Quek, C. Yin, “Wireless Federated Multi-Task LLM Fine-Tuning via Sparse-and-Orthogonal LoRA,” IEEE Transactions on Mobile Computing (major revision) · arXiv:2602.20492. [Major Revision]
  5. N. Yang, S. Wang, Z. Yang, M. Chen, C. Yin, K. Huang, “A Secure and Private Distributed Bayesian Federated Learning Design,” IEEE Transactions on Information Forensics and Security (major revision) · arXiv:2602.20003. [Major Revision]
  6. O. Huan, C. Liu, N. Yang, Z. Zhang, T. Luo, M. Chen, “Joint Optimization of Digital Semantic Communication and Radar Sensing for Enhanced ISAC,” IEEE Transactions on Wireless Communications, vol. 25, pp. 16730–16744, 2026.
2025
  1. N. Yang, S. Wang, M. Chen, C. Yin, C. G. Brinton, “Graph Neural Networks for the Optimization of Collaborative Federated Learning Energy Efficiency,” IEEE Transactions on Mobile Computing, vol. 24, no. 11, pp. 12049–12060, Nov. 2025.
  2. J. Zhao, T. Wang, H. Tong, N. Yang, C. Yin, D. Niyato, “A Joint Flow Scheduling Scheme for the Uplink of 5G-TSN in Industrial Internet of Things Systems,” IEEE Transactions on Cognitive Communications and Networking, 2025.
  3. O. Huan, C. Liu, N. Yang, Z. Zhang, T. Luo, “Digital Semantic Communication in ISAC: A Framework for Enhanced Sensing and Communication,” GLOBECOM 2025 – IEEE Global Communications Conference, pp. 4891–4896.
  4. J. Zhao, T. Wang, Z. Yang, N. Yang, H. Tong, C. Yin, “Deterministic Flow Scheduling in 5G-TSN for IIoT: A Learning-Based Adaptive MCG-GF-NOMA Approach,” IEEE/CIC International Conference on Communications in China (ICCC), Shanghai, China, Aug. 2025.
  5. P. Ding, N. Yang, X. He, S. Wang, C. Yin, “Task-Oriented Based Computing Power Measurement for Task Scheduling in Computing Power Networks,” IEEE/CIC International Conference on Communications in China (ICCC), Shanghai, China, Aug. 2025.
  6. S. Huang, N. Yang, S. Wang, X. He, C. Yin, “Resource Synchronization Mechanism Design in Computing Power Networks: An Adaptive Multi-Agent Reinforcement Learning Framework,” 2025 11th International Conference on Computer and Communications (ICCC), pp. 1892–1897.
  7. D. Xu, T. Wang, N. Yang, X. He, C. Yin, C. You, H. Tong, “IRS Deployment Under Practical Channel Model: Joint Position and Rotation Optimization,” 2025 11th International Conference on Computer and Communications (ICCC), pp. 981–986.
2024
  1. N. Yang, S. Wang, M. Chen, C. Yin, C. G. Brinton, “A Privacy Preserving and Byzantine Robust Collaborative Federated Learning Method Design,” ICC 2024 – IEEE International Conference on Communications, Denver, USA, Jun. 2024, pp. 3598–3603.
  2. X. Wei, H. Tong, N. Yang, C. Yin, “Language-Oriented Semantic Communication for Image Transmission with Fine-Tuned Diffusion Model,” International Conference on Wireless Communications and Signal Processing (WCSP), Hefei, China, Oct. 2024, pp. 1456–1461.
  3. H. Li, H. Tong, S. Wang, N. Yang, Z. Yang, C. Yin, “Video Semantic Communication with Major Object Extraction and Contextual Video Encoding,” IEEE Wireless Communications and Networking Conference (WCNC), Dubai, UAE, Apr. 2024.
  4. G. Ma, H. Tong, N. Yang, C. Yin, “Attention-Based UNet Enabled Lightweight Image Semantic Communication System over Internet of Things,” IEEE Wireless Communications and Networking Conference (WCNC), 2024.
  5. M. Sun, T. Wang, N. Yang, C. Yin, “A Novel Channel Estimation Method for RIS Assisted Wireless Communication Systems,” 2024 10th International Conference on Computer and Communications (ICCC), pp. 2371–2376.
2023
  1. N. Yang, S. Wang, M. Chen, C. Shen, C. Yin, C. G. Brinton, “MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization,” GLOBECOM 2023 – IEEE Global Communications Conference, Kuala Lumpur, Malaysia, Dec. 2023, pp. 607–612.
  2. N. Yang, S. Wang, M. Chen, C. G. Brinton, C. Yin, “Energy Efficient Collaborative Federated Learning Design: A Graph Neural Network Based Approach,” GLOBECOM 2023 – IEEE Global Communications Conference, Kuala Lumpur, Malaysia, Dec. 2023, pp. 164–169.
2022
  1. N. Yang, S. Wang, M. Chen, C. G. Brinton, C. Yin, W. Saad, S. Cui, “Model-Based Reinforcement Learning for Quantized Federated Learning Performance Optimization,” GLOBECOM 2022 – IEEE Global Communications Conference, Rio de Janeiro, Brazil, Dec. 2022, pp. 5063–5068.

Patents

  1. N. Yang, S. Wang, H. Tong, Y. Zhu, C. Yin, “A Graph Neural Network–Based Collaborative Federated Learning Optimization Method and Related Equipment”, Invention Patent (China), CN117291226B. Granted · App. No. 202311042052.0 · Filed Aug 17, 2023 · Granted Apr 3, 2026 · Cert. No. 8831757
  2. N. Yang, Q. Guo, S. Wang, C. Yin, “A Query-Driven Active State Synchronization and Cross-Slot Query Scheduling Method for Autonomous-Driving Digital Twins”, Invention Patent (China), Patent Pending. Under Examination · China invention patent · under substantive examination · first inventor

Honors & Awards

2024 · 2025
IEEE Wireless Communications Letters (WCL) Exemplary Reviewer — two consecutive years · IEEE Communications Society
2025
“Digital Intelligence Pioneer” Award — Digital China Innovation Competition (AI Track) · DCIC
2021 · 2024 · 2025
First-Class Scholarship · BUPT
2023
Second-Class Scholarship · BUPT
2019
Huawei Special Award — Huawei DIGIX Geeks AI Campus Innovation Competition (AI Hardware Innovation Track) · Huawei
2019
First Prize (Beijing) & Second Prize (National) — Mathematical Contest in Modeling · CSIAM

Professional Service

Program Committees & Track Chairs
  • Track Chair — IEEE VTC2025-Fall, Chengdu — Workshops and Recent Results Track (2025)
  • TPC Member — IEEE ICC 2026 — Signal Processing for Communications (SPC) Symposium (2026)
  • TPC Member — IEEE ICC 2026 — Workshop WS-20 on Generative AI (2026)
  • TPC Member — IEEE DySPAN 2026 — Dynamic Spectrum Access Networks (2026)
  • Invited Reviewer · Journals — IEEE Transactions on Communications (TCOM), IEEE Transactions on Green Communications and Networking (TGCN), IEEE Wireless Communications Letters (WCL), IEEE Communications Letters (CL)
  • Invited Reviewer · Conferences — IEEE ICC, IEEE GLOBECOM
  • Member — Chinese Institute of Electronics (CIE)

Research Experience

Jul 2026 – Jun 2028
Research on Lightweight Multimodal Vision-Language Models for Fast Long-Context Inference on Mobile Devices — Beijing Natural Science Foundation – Xiaomi Innovation Joint Fund (No. 26L030076)
Designing lightweight multimodal vision-language models with efficient long-context inference for resource-constrained mobile devices.
2024 – Present
6G Cloud Architecture Design and Key Technologies Based on Open-Source Ecology — National Key R&D Program of China (No. 2024YFE0200300)
Studied unified measurement and representation indicators for computing power in computing-power networks; explored large-model–enabled cloud–edge–device collaboration for intelligent orchestration.
2023 – Present
Future Cellular Networks Enabled by Digital Twins — National Natural Science Foundation of China (No. 62471056)
Investigated channel knowledge maps for wireless channel modeling and self-regulation mechanisms for mission-critical service assurance using communication-assisting UAVs.
2023 – 2025
Intelligent Transmission for Broadband Interactive Services Facing 6G Terminal Devices — Beijing Natural Science Foundation (No. L223027)
Researched semantic-communication–based adaptive transmission and lightweight algorithm design for mobile devices in future broadband interactive services.