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

Aug 04, 2025	Two of my first-author papers LauraTSE and SEF-MK got accepted by 2025 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
Jun 11, 2025	I am honored to give a talk about our recent work LauraTSE at RASDAP 2025 hosted by Speech Home.
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 am very honored to speak on behalf of DKU students at the Donor Appreciation Dinner.

Selected Publications

IEEE ASRU

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

Beilong Tang, Bang Zeng, and Ming Li

IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 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 = {IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},
  year = {2025},
}

IEEE ASRU

SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization

Beilong Tang, Xiaoxiao Miao, Xin Wang, and 1 more author

IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2025

arXiv Bib Code

@article{tang2025sef,
  title = {SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization},
  author = {Tang, Beilong and Miao, Xiaoxiao and Wang, Xin and Li, Ming},
  journal = {IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},
  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

Jul 20, 2025	Travel in New Orleans
Sep 14, 2024	Play basketball with Kyranbek Makan