Xingli Fang's Homepage

Short Bio

I am Xingli Fang (方星力 in Chinese), a Ph.D. student at North Carolina State University advised by Dr. Jung-Eun Kim. Prior to that, I got my Master Degree (Computer Engineering) from Syracuse University and Bachelor Degree (Software Engineering) from Northeastern University (China).

My current research lies at trustworthy machine learning – with a special focus on building privacy-safe and efficient ML. My research interests include privacy, efficient AI, semi-supervised learning, and generative models.

News

[Oct 2024] I get awarded AIES'24 Student Travel Award
[Jul. 2024] One first-authored paper is accepted by AIES 2024.
[Jul. 2024] I get awarded a Academic Travel Grants, thanks for my department.
[May 2024] I get awarded a scholarship from UAI 2024
[Apr. 2024] One first-authored paper is accepted by UAI 2024
[Nov. 2023] I get awarded a Academic Travel Grants, thanks for my department.
[Apr. 2023] I get awarded a Summer Graduate Award (SGA), thanks for my department.
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Education

North Carolina State University

Department of Computer Science

Ph.D. in Computer Science, [2023 Spring-Ongoing]

Syracuse University

Department of Electrical Eng. and Computer Sci.

M.S. in Computer Engineering, [2021 Fall - 2022 Winter]

Northeastern University

Software College

B.Eng. in Software Engineering, [2017 Fall - 2021 Summer]

Publications [Google Scholar]

Conference

AIES 24

Representation Magnitude has a Liability to Privacy Vulnerability

Xingli Fang, Jung-Eun Kim

7th AAAI Conference on AI, Ethics, and Society, 2024.

PDF Code

UAI 24

Center-Based Relaxed Learning Against Membership Inference Attacks

Xingli Fang, Jung-Eun Kim

Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence, 2024.

PDF Code Project Page

Workshop

WANT@NeurIPS

Cooperative Learning for Cost-Adaptive Inference

Xingli Fang, Richard Bradford, Jung-Eun Kim

Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization, 2023.

PDF Project Page

Journal

Multi-Step Real-Time Prediction of Hard-Rock TBM Penetration Rate Combining Temporal Convolutional Network and Squeeze-And-Excitation Block

Long Li, Zaobao Liu, Xingli Fang, Wenbiao Qi

Scientific Reports, 2024.

PDF Project Page

Realtime Prediction of Hard Rock TBM Advance Rate using Temporal Convolutional Network (TCN) With Tunnel Construction Big Data

Zaobao Liu,Yongchen Wang, Long Li, Xingli Fang, Junze Wang

Frontiers of Structural and Civil Engineering, 2022.

PDF Project Page

Hard-rock Tunnel Lithology Prediction with TBM Construction Big Data using A Global-Attention-Mechanism-Based LSTM Network

Zaobao Liu,Long Li, Xingli Fang, Wenbiao Qi, Jimei Shen, Hongyuan Zhou, Yulong Zhang

Automation in Construction, 2021.

PDF Project Page

Teaching

Teaching Assistant, Deep Learning Beyond Accuracy at NC State University, 2024 Fall

Services

Conference

[June 2024] 2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML 2024), serve as reviewer

Honors & Grants & Awards

[Oct. 2024] AIES’24 Student Travel Award, 7th AAAI Conference on AI, Ethics, and Society
[Jul. 2024] Academic Travel Grants, Department of Comp. Sci., NC State University
[May 2024] Scholarship, The Conference on Uncertainty in Artificial Intelligence (UAI) 2024
[Nov. 2023] Academic Travel Grants, Department of Comp. Sci., NC State University
[Apr. 2023] Summer Graduate Award (SGA), Department of Comp. Sci., NC State University

Contact

Address: 890 Oval Dr, Raleigh, NC 27606
Email: xfang23 (at) ncsu.edu