I am now a Research Fellow in College of Computing and Data Science (CCDS) @NTU, working with Prof. Luo Siqiang. In Spring 2026, I will join Southeast University (SEU) as a tenure-track Associate Professor.

I earned my Ph.D. and B.Eng. from the SEU. I was a Research Fellow at the School of Computing (SoC) @NUS, where I was affiliated with HPC-AI-LAB. I also served as a Senior Research Scientist at an AI startup, focusing on the acceleration training of a powerful video generation model Open-Sora. My research lies at the intersection of scalable machine learning, uncertainty-aware modeling, and efficient training of large models.

In addition to academic research, I also design and implement high-frequency trading (HFT) strategies, focusing on algorithmic execution and multi-market arbitrage.

Education

Ph.D. Southeast University (SEU), Nanjing, China
Sep. 2016 – Jun. 2022

• Advisors: Prof. Pei-hong Wang and Prof. Zhi-gang Su

Visiting Scholar
School of Computing, National University of Singapore (NUS), Singapore
Apr. 2021 – Apr. 2022

• Advisor: Prof. Yang You

B.Eng. SEU, Nanjing, China
Aug. 2012 – Jun. 2016

Selected Pubications

^† Equal contribution, ^✉ Corresponding Author， More Paper in google scholar

Chaoyu Gong, et.al DeepfakeImpact: A Two-Stage Benchmark with Real-World Impact in Deepfake Detection
CVPR, 2026.

Chaoyu Gong ^†, Haoyu Liu ^† , et.al (alphabetical order)
When Deepfake Detection Meets Graph Neural Network: a Unified and Lightweight Learning Framework
KDD, 2026.

Yong Liu, Zirui Zhu, Chaoyu Gong^✉, et.al
Sparse mezo: Less parameters for better performance in zeroth-order llm fine-tuning
Neurips, 2025.

Yunshu Shi, Chaoyu Gong^✉, et.al
Time-Series Clustering With Dynamic Feature Mining in the Framework of Belief Function Theory
IEEE TSMC, 2025.

Chaoyu Gong, et.al
Multi-view Evidential K-NN Classification
Information Fusion, 2025.

Chaoyu Gong, et.al
Distributed and Joint Evidential K -Nearest Neighbor Classification
IEEE TKDE, 2024.

Chaoyu Gong, et.al
Scalable Evidential K -Nearest Neighbor Classification on Big Data
IEEE TBD, 2024.

Chaoyu Gong, et.al
Sparse Reconstructive Evidential Clustering for Multi-view Data
IEEE/CAA Journal of Automatica Sinica, 2023.

Chaoyu Gong, et.al
Joint Evidential K-Nearest Neighbor Classification
IEEE ICDE, 2022.

Chaoyu Gong, et.al
Self-reconstructive evidential clustering for high-dimensional data
IEEE ICDE, 2022.

Chaoyu Gong, et.al
A Sparse Reconstructive Evidential K-Nearest Neighbor Classifier for High-dimensional Data
IEEE TKDE, 2022.

Academic Services

Early-Career Editor: AI & Innovation (AI²)