Grants & Projects per year
Personal profile
Research interests
Dr. Ma’s research spans machine learning, natural language processing, and biomedical research. He is particularly interested in exploring and modeling relational structures of data, especially the graphs which characterize interactions of a complex system. His work on graph learning includes scalable graph learning, graph coarsening, dynamic graph learning, graph neural networks enhanced by geometry and topology, and various applications to biomedical domain. His also works on time series analysis, summarization and AI4code.
Biography
Dr. Tengfei Ma received his Ph.D. in Mathematical Informatics from The University of Tokyo (Japan), M.S. from Peking University (China), and B.E. from Tsinghua University (China). Before joining Stony Brook University, he was a staff research scientist in IBM T. J. Watson Research Center.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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SBF Funds to fund 10 Seed Grants Advancing AI Research/Diffusion
Varshney, L. (PI), Carlini, L. (CoI), Choi, H. (CoI), Dave, A. (CoI), Enikolopov, G. (CoI), Klein, D. N. (CoI), Li, J. (CoI), Ma, T. (CoI), Miranda, V. (CoI), Samaras, D. (CoI), Sirotkin, H. I. (CoI), Sunar, U. (CoI), Vitek, N. (CoI), Yin, Z. (CoI), Jeon, M. E. (CoI) & Weiss, S. (CoI)
08/1/26 → 07/31/27
Project: Research
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Elements: MISPR: An Open-Source Computational Framework for Electrolyte and Electrode-Electrolyte Interfaces
Rajput, N. N. (PI) & Ma, T. (CoPI)
08/1/25 → 07/31/28
Project: Research
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Temporal and Graph Based Deep Learning for Early Disease Prediction
Wang, F. (PI), Ma, T. (CoPI), Rosenthal, R. (CoPI), Wong, R. (CoPI) & Preis, H. (CoPI)
Patient Centered Outcomes Research Institute (PCORI)
02/1/25 → 02/28/29
Project: Research
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SUNY-IBM AI Collaborative Research Alliance
Balasubramanian, A. (CoI), Balasubramanian, N. (CoI), Ferdman, M. (CoI), Kaufman, A. (CoI), Zadok, E. (CoI), Iacabucci, J. (PI), Beckmann, K. (CoI), Cady, N. (CoI), Cho, J. (CoI), D'Cruz, J. (CoI), Dunn, K. (CoI), Ghose, K. (CoI), Kosar, T. (CoI), Mazumder, B. (CoI), Park, S. (CoI), Xiong, J. (CoI), Yin, P. (CoI), Yu, K. (CoI), Ma, T. (CoI), Milder, P. A. (CoI), Qin, H. (CoI), Dimitrov, N. (CoI), Hu, H. (CoI), Imran, A. (CoI), Li, H. (CoI), Tarkesh Esfahani, E. (CoI), Bichuch, M. (CoI), Chowdhury, S. (CoI), Kojaku, S. (CoI), Perebeinos, V. (CoI), Yang, Z. (CoI), Yao, F. (CoI) & Wang, Z. (CoI)
01/1/22 → 12/31/28
Project: Research
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Artificial Intelligence Collaborative Research Alliance
Balasubramanian, A. (CoI), Balasubramanian, N. (CoI), Ferdman, M. (CoI), Kaufman, A. (CoI), Zadok, E. (CoI), Iacabucci, J. (PI), Beckmann, K. (CoI), Cady, N. (CoI), Cho, J. (CoI), D'Cruz, J. (CoI), Dunn, K. (CoI), Ghose, K. (CoI), Kosar, T. (CoI), Mazumder, B. (CoI), Park, S. (CoI), Xiong, J. (CoI), Yin, P. (CoI), Yu, K. (CoI), Ma, T. (CoI), Milder, P. A. (CoI), Qin, H. (CoI), Dimitrov, N. (CoI), Hu, H. (CoI), Imran, A. (CoI), Li, H. (CoI), Tarkesh Esfahani, E. (CoI), Bichuch, M. (CoI), Chowdhury, S. (CoI), Kojaku, S. (CoI), Perebeinos, V. (CoI), Yang, Z. (CoI), Yao, F. (CoI) & Wang, Z. (CoI)
05/14/19 → 09/30/27
Project: Research
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Graph Concept Bottleneck Models
Xu, H., Weng, T. W., Nguyen, L. M. & Ma, T., 2026, In: Transactions on Machine Learning Research. 2026-MarchResearch output: Contribution to journal › Article › peer-review
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Enhancing Graph Representation Learning with Localized Topological Features
Yan, Z., Zhao, Q., Ye, Z., Ma, T., Gao, L., Tang, Z., Wang, Y. & Chen, C., 2025, In: Journal of Machine Learning Research. 26Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Federated Learning of Models Pretrained on Different Features with Consensus Graphs
Ma, T., Chen, J. & Hoang, T. N., 2025, Springer Optimization and Its Applications. Springer, p. 289-319 31 p. (Springer Optimization and Its Applications; vol. 213).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
1 Scopus citations -
Identifying Autistic Children Using Deep Learning Based on the Temporal and Spatial Information of Eye-Tracking
Guo, D., Zhang, Y., Ma, T. & He, S., 2025, In: Progress in Electromagnetics Research M. 135, p. 100-111 12 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Influencer: Empowering Everyday Users in Creating Promotional Posts via AI-infused Exploration and Customization
Liu, X., Sun, A., An, P., Ma, T. & Zhao, J., Apr 26 2025, CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 1004. (Conference on Human Factors in Computing Systems - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access5 Scopus citations