Yifan Zhang (中文: 张一凡, 日本語: ちょういっパン, Русский: Чжан Ифань) is a Ph.D. student in Computer Science at Vanderbilt University (Vandy), under the supervision of Prof. Kevin J. Leach and Prof. Yu Huang at the Institute for Software Integrated Systems (ISIS). He is also jointly pursuing the Online Master of Science in Computer Science (OMSCS) at Georgia Institute of Technology (GaTech). Before joining Vanderbilt & GaTech, he earned his B.A., B.Eng., and M.Eng. from China University of Petroleum (CUP) at Beijing and worked as a data scientist at the Intelligent Risk Management Lab at JD.COM. He has also worked as a research associate at the University of Hong Kong (HKU) and Duke University (Duke). His research interests lie in AI for programming languages (AI4Code), code representation learning, cognitive process in software engineering, binary code analysis, and medical imaging.
Vanderbilt University, 2022-2026
Ph.D. in Computer Science (AI for Software Engineering)
Georgia Institute of Technology, 2022-2025
M.Sc. in Computer Science (Computing Systems)
China University of Petroleum, 2012-2019
B.A., B.Eng., M.Eng. in English & Petroleum Engineering
[09/05/2023] One collaborative paper got accepted to IEEE TMI.
[07/13/2023] Invited as a PC member for AAAI 2024 regular track.
[07/07/2023] One collaborative paper got accepted to ASE 2023 NIER track.
[03/19/2023] Invited as a PC member for MLSys 2023 artifact evaluation track.
[03/02/2023] One paper got accepted to ICSE 2023 workshops.
[03/02/2023] Accepted a research intern position at ByteDance in San Jose, CA, USA.
[02/06/2023] Invited as a PC member for MICCAI 2023 regular track.
[01/06/2023] Invited as a PC member for AAAI-DCAA 2023.
[12/04/2022] Invited as a Junior PC member for MSR 2023 technical track.
[11/28/2022] Attended NeurIPS 2022 physically in New Orleans, LA, USA.
[10/10/2022] Attended ASE 2022 physically in Detroit, MI, USA and presented one paper.
[09/22/2022] Attended MICCAI 2022 virtually in Singapore and presented one paper.
[08/05/2022] One paper got accepted to ASE 2022 doctoral symposium.
[08/01/2022] Invited as a PC member for AAAI 2023 regular track.
[07/18/2022] One paper got accepted to MICCAI 2022 workshops.
[07/02/2022] Invited as a PC member for MICCAI-CaPTion 2022.
[06/01/2022] Started my Ph.D. in Computer Science at Vanderbilt University.
Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej Mazurowski: REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection. Preprint.
Yichang He, Yifan Zhang, Yunpeng Fan, U-Xuan Tan,: Real-time Vibration Compensation with Long Short-term Memory Recurrent Neural Network and Adaptive Filter, Under Review by IEEE-TMech.
Yifan Zhang, Chen Huang, Yueke Zhang, Kevin Cao, Scott Thomas Anderson, Huajie (Jay) Shao, Kevin Leach, Yu Huang: Pre-Training Representations of Binary Code Using Contrastive Learning. Under Review.
Yifan Zhang, Junwen Yang, Haoyu Dong, Qingchen Wang, Huajie (Jay) Shao, Kevin Leach, Yu Huang: ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection. Accepted by ICSEW 2023.
Haoyu Dong, Yifan Zhang, Hanxue Gu, Nicholas Konz, Maciej Mazurowski: SWSSL: Sliding-Window based Self-Supervised Learning Framework for Anomaly Detection. IEEE-TMI.
Haoyu Dong, Yifan Zhang, Nicholas Konz, Hanxue Gu, Maciej Mazurowski: Localized Semi-Supervised Anomaly Detection for Breast Tomosynthesis Lesion Screening. Under Review by CMPB.
Chen Huang, Yifan Zhang, Kevin Leach, Yu Huang, Wenqiang Lei, Jiancheng Lv: Cross-Domain Filters for Graph Convolutional Networks by Multiple Kernel Learning. Under Review by AAAI 2024.
Infrastructure Systems Lab
Institute fot Software Integrated Systems
Duke University Health System
HKU Business School
Intelligent Risk Management Lab, JD Technology
Schulich School of Engineering