I am currently a fourth-year PhD student in Electrical and Computer Engineering at the University of Florida, advised by Prof. Jie Xu. Prior to that, I was a master student at the University of California, Los Angeles. My research interests focus on Edge Computing, Federated Learning and Large Language Model Fine-tuning.

You can download my CV here.

🔥 News

• 2025.09:  🎉🎉 Two papers are accepted by NeurIPS 2025.
• 2025.06:  🎉🎉 One paper is accepted by ICCV 2025.
• 2025.05:  🎉🎉 I will join PayPal GFP AI/ML team as a Machine Learning Scientist Intern this summer.
• 2024.10:  🎉🎉 One paper is accepted by NeurIPS 2024.

📝 Publications

Conference Papers

• NeurIPS 2025 Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
  Lei Wang*, Jieming Bian*, Letian Zhang, Jie Xu
  Annual Conference on Neural Information Processing Systems (NeurIPS), 2025

• NeurIPS 2025 FedEL: Federated Elastic Learning for Heterogeneous Devices
  Letian Zhang, Bo Chen, Jieming Bian, Lei Wang, Jie Xu
  Annual Conference on Neural Information Processing Systems (NeurIPS), 2025

• ICCV 2025 LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
  Jieming Bian*, Lei Wang*, Letian Zhang, Jie Xu
  International Conference on Computer Vision (ICCV), 2025

• NeurIPS 2024 Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
  Lei Wang*, Jieming Bian*, Letian Zhang, Chen Chen, Jie Xu
  Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

• ICDCS 2024 Adaptive User-Centric Entanglement Routing in Quantum Data Networks
  Lei Wang, Jieming Bian, Jie Xu
  IEEE International Conference on Distributed Computing Systems (ICDCS), 2024

• e-Energy 2024 CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers
  Jieming Bian, Lei Wang, Shaolei Ren, Jie Xu
  The 15th ACM International Conference on Future and Sustainable Energy Systems (ACM e-Energy), 2024 (Best Paper Nomination)

• ICASSP 2024 Federated Learning with Instance-Dependent Noisy Label
  Lei Wang, Jieming Bian, Jie Xu
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

Journal Papers

• IEEE TON Quantum Entanglement Path Selection and Qubit Allocation via Adversarial Group Neural Bandits
  Yin Huang*, Lei Wang*, Jie Xu
  IEEE/ACM Transactions on Networking, vol. 33, no. 2, pp. 583-594, 2025

• IEEE TSP Accelerating Hybrid Federated Learning Convergence Under Partial Participation
  Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu
  IEEE Transactions on Signal Processing, vol. 72, pp. 3258-3271, 2024

Preprints

• FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-the-World LoRA
  Jieming Bian*, Lei Wang*, Letian Zhang, Jie Xu

• Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning
  Jieming Bian, Lei Wang, Jie Xu

• A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
  Jieming Bian, Yuanzhe Peng, Lei Wang, Yin Huang, Jie Xu

• Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms
  Yuanzhe Peng, Jieming Bian, Lei Wang, Yin Huang, Jie Xu

📖 Educations

• 2022.08 - now, University of Florida, Ph.D. in Electrical and Computer Engineering (GPA: 4.00/4.00).
• 2022.08 - 2024.08, University of Miami, Ph.D. in Electrical and Computer Engineering (GPA: 4.00/4.00, transferred to UF with the advisor).
• 2021.09 - 2022.06, University of California, Los Angeles, M.S. in Electrical and Computer Engineering (GPA: 3.93/4.00).
• 2016.09 - 2020.07, University of Electronic Science and Technology of China, B.E. in Electronic and Information Engineering (GPA: 3.97/4.00).

💻 Internships

• 2025.05 - 2025.08, Machine Learning Scientist Intern, PayPal, San Jose, CA.

💬 Service

• Conference Reviewer:
  AAAI 2026, NeurIPS 2025, ICCV 2025, KDD 2025, CVPR 2024, ICDCS 2024,

• Journal Reviewer:
  IEEE Transactions on Cognitive Communications and Networking (TCCN),
  IEEE Internet of Things (IoT),
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),
  IEEE Signal Processing Letters (SPL),
  IEEE Open Journal of the Communications Society (OJCOMS),
  ACM Computing Surveys