When Geometry Becomes Unreliable: Robust Federated Aggregation via Bounded Influence
Yitong Ma, Gang Yan
35th International ACM Conference on Knowledge and Information Management (CIKM 2026).
About
Hi, I am Yitong.
I am a PhD candidate at Jilin University. My primary research interests include (i) federated learning and privacy-preserving machine learning, (ii) robust optimization for reliable AI systems, (iii) high-performance networking for distributed intelligence, (iv) bioinformatics and biomedical data mining. I am actively exploring the broader impacts of my research experience, particularly in secure, efficient, and trustworthy AI systems for biomedical applications and public health.
News
Recent Updates
- Paper accepted to CIKM 2026.
- Selected as KDD 2026 Best Reviewers.
- Selected as Outstanding PhD Student Paper Presentation at CCF Computility 2026.
Selected Publications
Research
Geometry-Aware Update Control for Robust Optimization
Yitong Ma, Mandi Li, Gang Yan
The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026).
ANCHOR: Aligned Non-contextual and Contextual Hybridization with On-condition Calibration for Per-Base Risk Prediction
Yitong Ma, Zilin Ma, Yujie Jia, Kun Bi, Gang Yan
The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026).
MAGNet: Multi-Adjacency Graph Network for Spatiotemporal sEMG
Yitong Ma, Peilin Liu, Junxian Li, Gang Yan
The 34th European Signal Processing Conference (EUSIPCO 2026).
High-Risk Sequence Prediction Model in DNA Storage: The LQSF Method
Yitong Ma, Shuai Chen, Qi Xu, Zuhong Lu, Kun Bi
IEEE Transactions on NanoBioscience, 2025.
DPCM-DP-EN: a lossless dynamic compress and encrypted encode method for DNA storage of medical images with high storage density
Kun Bi, Zilin Ma, Qi Xu, Ying Zhou, Yitong Ma, Qingjiang Sun, Zuhong Lu
Medical & Biological Engineering & Computing, 2025.
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image
Qi Xu, Yitong Ma, Zuhong Lu, Kun Bi
Interdisciplinary Sciences: Computational Life Sciences, 2025.
Awards
Honors
- KDD 2026 Best Reviewer
- Outstanding PhD Student Paper Presentation at CCF Computility 2026
- ICML Gold Reviewer
- Outstanding Graduate, Southeast University
- Honors Graduate, Monash Suzhou Research Institute (10/550)
- National Scholarship
- University-level Merit Student, Southeast University
Experience
Internships
- Tencent, QQ Browser Framework Development Group
- Aptiv, Intelligent Front Vision Group
Education
Education Experience
-
Ph.D. in Computer Science and Technology, Jilin University, Changchun, Jilin, China
Advisor: Prof. Gang Yan -
M.S. in Electronic Information, Southeast University, Nanjing, Jiangsu, China
Advisor: Assoc. Prof. Kun Bi; Co-advisor: Prof. Jing Tu -
M.S. in Biotechnology, Monash University, Monash Suzhou Research Institute, Suzhou, Jiangsu, China
Advisor: Prof. Huazheng Liang -
B.S. in Computer Science and Technology, Hefei University of Technology, Hefei, Anhui, China
Advisor: Prof. Peipei Li