Beilong Tang

I am Beilong Tang, an incoming Ph.D. student of ECE at North Carolina State University (NCSU) under the supervision of Dr. Hamid Krim (I want to express my sincere appreciation to Dr. Vahid Tarokh for his generous recommendation!). I will focus on diffusion models and other generative models.

I graduated from Duke Kunshan University May 2025 with Signature Work with Distinction award and Magna Cum Laude award, majoring in Applied Mathematics and Computational Sciences/Computer Science. For my undergraduate research, I was fortunate to be advised by Dr. Ming Li on using language models to conduct Target Speaker Extraction. Before that, I did research related to Federated Learning under the supervision of Dr. Bing Luo.

My research interests are in Deep Learning, Statistical Machine Learning, and Signal Processing.

News

May 16, 2025	I am honored to receive the Undergraduate Signature Work with Distinction award and magna cum laude award from DKU.
Mar 12, 2025	I have accepted my offer to pursue a PhD in ECE at NCSU under the guidance of Dr. Hamid Krim!
Nov 01, 2024	I’m very honored to speak on behalf of DKU students at the Donor Appreciation Dinner.
Sep 15, 2024	I submitted my first first-author paper TSELM: Target Speaker Extraction using Discrete Tokens and Language Models to ICASSP 2025
Aug 15, 2024	Our paper FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics is accepted by ACM MobiHoc 2024

Selected Publications

Preprint

LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models

Beilong Tang, Bang Zeng, and Ming Li

arXiv preprint arXiv:2504.07402, 2025

arXiv Bib Code

@article{tang2025lauratse,
  title = {LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models},
  author = {Tang, Beilong and Zeng, Bang and Li, Ming},
  journal = {arXiv preprint arXiv:2504.07402},
  year = {2025},
}

Preprint

TSELM: Target Speaker Extraction using Discrete Tokens and Language Models

Beilong Tang, Bang Zeng, and Ming Li

arXiv preprint arXiv:2409.07841, 2024

arXiv Bib Code

@article{tang2024tselm,
  title = {TSELM: Target Speaker Extraction using Discrete Tokens and Language Models},
  author = {Tang, Beilong and Zeng, Bang and Li, Ming},
  journal = {arXiv preprint arXiv:2409.07841},
  year = {2024},
}

INFOCOM Demo

Fedkit: Enabling Cross-Platform Federated Learning for Android and iOS

Sichang He, Beilong Tang, Boyan Zhang, and 4 more authors

In IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2024

arXiv Bib Code

@inproceedings{FedKit,
  author = {He, Sichang and Tang, Beilong and Zhang, Boyan and Shao, Jiaoqi and Ouyang, Xiaomin and Nugraha, Daniel Nata and Luo, Bing},
  booktitle = {IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)},
  title = {Fedkit: Enabling Cross-Platform Federated Learning for Android and iOS},
  year = {2024},
  volume = {},
  number = {},
  pages = {1-2},
  keywords = {Training;Data analysis;Federated learning;Conferences;Computational modeling;Pipelines;Production},
  doi = {10.1109/INFOCOMWKSHPS61880.2024.10620662},
}

MobiHoc Demo

FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics

Jiaxiang Geng, Beilong Tang, Boyan Zhang, and 2 more authors

ACM MobiHoc, 2024

arXiv Bib

@article{geng2024fedcampus,
  title = {FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning \& Analytics},
  author = {Geng, Jiaxiang and Tang, Beilong and Zhang, Boyan and Shao, Jiaqi and Luo, Bing},
  journal = {ACM MobiHoc},
  year = {2024},
}

Latest posts

Dec 02, 2024	SLT Conference
Nov 01, 2024	Read source code

My Life

Sep 14, 2024	Play basketball with Kyranbek Makan