Short Bio

I am Xingli Fang (方星力 in Chinese), a Ph.D. candidate 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 degree research lies at Trustworthy ML (a.k.a., Responsible AI) – with a special focus on building privacy-safe and efficient ML. My research interests include privacy, efficient AI, semi-/self- supervised learning, and generative models. Currently, I am exploring privacy topics in large language models (LLMs).

News

• [Feb 2026] I get awarded a Academic Travel Grants, thanks for my department.
• [Feb 2026] I will work as SDE intern at Meta this summer.
• [Feb 2026] Serve as reviewer in UAI26
• [Jan 2026] One first-authored paper is accepted by ICLR 2026
• [Aug 2025] Serve as reviewer in AAAI26 for main track and special track
• Show more
[Jun 2025] I start a research intern for AT&T Labs in this summer
[May 2025] I pass the written preliminary exam and become a Ph.D. candidate, a lot of thanks to my advisor and department
[Jan 2025] Serve as reviewer in ICML25
[Jan 2025] Serve as reviewer in IEEE VTC25
[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.
[Jan 2023] I join in NCSU as a Ph.D. student.

Internship Experience

Meta [2026 May - 2026 Aug]

Software Engineer Intern, Machine Learning (PhD)

Will work as Software Engineer Intern, Machine Learning (PhD) in the upcoming summer.

AT&T Labs [2025 Jun - 2025 Aug]

Research Intern (Sr Associate Student Intern Technical II)

Worked in AT&T Lab Internship (Advanced Degree) research program with a focus on AI foundation model for AT&T 5G Cellular network big data.

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

ICLR 26

Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights

Xingli Fang, Jung-Eun Kim

The Fourteenth International Conference on Learning Representations, 2026

PDF

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

Sci. Rep.

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

Front. Struct. Civ. Eng.

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

Autom. Constr.

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

Preprints

ArXiv

Decoupling Generalizability and Membership Privacy Risks in Neural Networks

Xingli Fang, Jung-Eun Kim

ArXiv, 2026.

PDF

ArXiv

Trustworthy AI on Safety, Bias, and Privacy: A Survey

Xingli Fang, Jianwei Li, Varun Mulchandani, Jung-Eun Kim

ArXiv, 2025.

PDF

Teaching

• Teaching Assistant, Artificial Intelligence of Things (CSC 591) at NC State University, 2026 Spring
• Teaching Assistant, Deep Learning Beyond Accuracy (CSC 591/791, ECE 591) at NC State University, 2024 Fall, 2025 Spring, 2025 Fall

Services

Conferences, Serve as Program Committee / Reviewer

• [UAI 2026] 42nd Conference on Uncertainty in Artificial intelligence
• [AAAI 2026] The Fortieth AAAI Conference on Artificial Intelligence
• [AISI 2026] The Fortieth AAAI Conference on Artificial Intelligence, Special Track on AI for Social Impact
• [ICML 2025] The 42nd International Conference on Machine Learning
• [VTC 2025] The 2025 IEEE 101st Vehicular Technology Conference
• [WANT@ICML 2024] 2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization

Honors / Grants / Awards

Contact

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