Scholar
Jiaxing Zhang
Google Scholar ID: 86f1WUAAAAAJ
ByteDance
Citations & Impact
Citations
87
H-index
5
i10-index
3
Publications
10
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Publications: MixupExplainer (KDD’23), ProxyExplainer (ICML’24), RegExplainer (NeurIPS’24), and ConfExplainer (KDD’25); Reviewer for KDD, ICML, ICLR, NeurIPS, AISTATS, WACV, PKDD and AAAI PC member; ACM Professional Member (2025–2026).
Research Experience
- Currently a Research Scientist at TikTok, working on vision–language models. Previously, a Senior Data Scientist at Walmart Global Tech (recommender systems and knowledge graphs) and an Applied Scientist Intern at Amazon (model retraining under distribution shift).
Education
- Ph.D. in Informatics from the New Jersey Institute of Technology (NJIT), May 2025, (co-)supervised by Prof. Hua Wei@ASU and Prof. Michael Lee@NJIT; B.S. in Computer Science (Honored Science Program) from Xi’an Jiaotong University, 2020, with study experiences at the University of Minnesota Twin Cities and the University of Alberta.
Background
- Research interests include trustworthy & explainable AI for Graph Neural Networks (e.g., information bottleneck and confidence-aware explanations), deep learning (LLMs/VLMs) for video moderation, and NLP for code intelligence. Representative works include MixupExplainer (KDD’23), ProxyExplainer (ICML’24), RegExplainer (NeurIPS’24), and ConfExplainer (KDD’25).
Miscellany
- Actively welcome research collaborations across areas including (but not limited to): GNNs and their applications/explainability, LLM/VLM explainability and architecture optimization, training strategy optimization, video compression, and ML infrastructure. Also open to working with motivated, well-prepared interns.
