Short Bio
Hi, I’m Jiawei Chen, a fourth-year Ph.D. candidate in Computer Science at Old Dominion University, advised by Dr. Rui Ning. My research interests focus on Trustworthy AI and Interdisciplinary AI.
Education
Ph.D. Candidate (2023-Present, GPA: 4.0/4.0) in Computer Science (advised by Dr. Rui Ning), Old Dominion University, Norfolk, VA, USA.
M.S. (2019-2022, GPA: 3.21/4.0) in Computer Science and Technology (advised by Dr. Lan Shi & Dr. Yuhai Zhao), Northeastern University, Shenyang, China.
B.S. (2015-2019, ranking in major: 3/40) in Computer Science and Technology (advised by Prof. Sonam Gyatso), Tibet University, Tibet, China.
Publications
- J. Chen, L. Li, D. Takabi, R. Ning, “Towards More Realistic Graph Backdoor Attacks in Node Classification,” (Under Review).
- Z. Guo, Y. Shi, W. Zeng, C. Hu, H. Lin, T. Y. Zhuo, J. Chen, X. Gu, W. Ma, “ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction,” (Under Review).
- J. Wen, X. Li, X. Cui, G. Yang, J. Chen, “Core Stimulus or Emotional Resonance? The SOR-PAD Configuration and Platform Compatibility of Agricultural Aid KOLs Influencing Purchases,” (Under Review).
- J. Duan, J. Chen, T. Shi, L. Wang, Q. Qu, X. Meng, Y. Song, J. Wang, J. Li, “The Discrepancy Between Objective and Perceived Walkability: A Study on the ‘Perception Gap’ of Streets Based on Multi-Source Big Data and MLLM,” (Under Review).
- J. Chen, L. Li, D. Takabi, M. Sosonkina, R. Ning, “Heterogeneous Graph Backdoor Attack,” arXiv preprint arXiv:2506.00191, (Under Review).
- M. Lin, F. Yu, R. Ning, L. Li, J. Chen, Q. Lou, M. Zheng, C. Xin, H. Wu, “RPP: A Certified Poisoned-Sample Detection Framework for Backdoor Attacks under Dataset Imbalance,” (Under Review).
- X. Wang, H. Lv, J. Chen, “AGST-LSTM: The ConvLSTM Model Combines Attention and Gate Structure for Spatiotemporal Sequence Prediction,” in Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Springer, 2023. (CCF-C)
- J. Chen, Y. Yin, Y. Zhao, L. Shi, “Ether Phishing Account Detection Device and Method Based on Multi-Feature Learning,” China Patent (CN114782051B, Granted: March 14, 2025).
