| Conference Paper |
Link |
| Jiangbo Li, Zichen Xu, Minh Pham, Yicheng Tu, Qihe Zhou. A Comparative Study of Intersection-Based Triangle Counting Algorithms on GPUs. 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS) |
link |
| Minh Pham*, Chengcheng Mou*, Benjamin Hsu, and Yicheng Tu. Computing Group-By and Aggregate on Massively Parallel Systems. In 2023 IEEE International Conference on Big Data (BigData), pp. 149-158. IEEE, 2023 |
link |
| Minh Pham, Yicheng Tu , Weijia Xu. Accelerating BWA-MEM Read Mapping on GPUs. In Proceedings of the 37th International Conference on Supercomputing (pp. 155-166). |
link |
| Minh Pham, Hao Li, Yongke Yuan, Chengcheng Mou, Kandethody Ramachandran, Zichen Xu, and Yicheng Tu. 2022. Dynamic memory management in massively parallel systems: a case on GPUs. In Proceedings of the 36th ACM International Conference on Supercomputing (ICS '22). |
link |
| M. Pham, H. Nguyen, L. Dang and J. A. Nieves, "Compressive Features in Offline Reinforcement Learning for Recommender Systems" 2021 IEEE International Conference on Big Data (Big Data). |
link |
| J. Adorno Nieves, M. Pham, S. Barbeau, A. Labrador (2019). Scalable Real-Time Transit Data Archiving:
A Framework for Performance Assessment and Machine Learning Prediction. In Transportation Research Board
Conference Proceedings (No. 55). |
link |
| M. Pham, J. Lin, and Y. Zhang, “Diagnosing Voice Disorder with Machine Learning,” In IEEE
International Conference on Big Data, 2018. |
link |
| Journal Paper |
Journal's Impact Factor |
Link |
| Y. Hao, X. Yuan, J. Yan, M. Pham, D. Rohlsen, P. Qian, F. Cheng, and Y. Wang, “Metabolomic Markers in
Tongue-Coating Samples from Damp Phlegm Pattern Patients of Coronary Heart Disease and Chronic Renal Failure,”
Disease Markers, vol. 2019, pp. 1–14, 2019. |
2.761 |
link
|
| Y. Hao, F. Cheng, M. Pham, H. Rein, D. Patel, Y. Fang, Y. Feng, J. Yan, X. Song, H. Yan, and Y. Wang,
“A Noninvasive, Economical, and Instant-Result Method to Diagnose and Monitor Type 2 Diabetes Using Pulse
Wave: Case-Control Study,” JMIR mHealth and uHealth, vol. 7, no. 4, 2019. |
4.301 |
link |
| Z. Tang, M. Pham, Y. Hao, F. Wang, D. Patel, L. Jean-Baptiste, L. Fan, W. Wang, Y. Wang, and F.
Cheng, “Sex, Age, and BMI Modulate the Association of Physical Examinations and Blood Biochemistry Parameters
and NAFLD: A Retrospective Study on 1994 Cases Observed at Shuguang Hospital, China,” BioMed Research
International, vol. 2019, pp. 1–7, 2019. |
2.583 |
link |
| M. Pham, F. Cheng, and K. Ramachandran, “A Comparison Study of Algorithms to Detect Drug–Adverse
Event Associations: Frequentist, Bayesian, and Machine-Learning Approaches,” Drug Safety, vol. 42,
no. 6, pp. 743–750, 2019. |
3.643 |
link |
| Y. Lu, A. Ramachandra, M. Pham, Y.-C. Tu, and F. Cheng, “CuDDI: A CUDA-Based Application for
Extracting Drug-Drug Interaction Related Substance Terms from PubMed Literature,” Molecules, vol. 24,
no. 6, p. 1081, 2019. |
3.060 |
link |
| A. B. Lester, P. L. Winters, and M. Pham, “Segment: Applicability of an Existing Segmentation
Technique to Transportation Demand Management Campaigns in the United States,” Transportation Research
Record: Journal of the Transportation Research Board, vol. 2673, no. 9, pp. 227–239, 2019. |
0.954 |
link
|
| M. H. Pham, C. Tsokos, and B.-J. Choi, “Maximum Likelihood Estimation for the Generalized Pareto
Distribution and Goodness-of-Fit Test with Censored Data,” Journal of Modern Applied Statistical
Methods, vol. 17, no. 2, 2019. |
|
link |
| M. H. Pham and R. C. Kafle, “Competing Risks Analysis of African American Breast Cancer Patients,”
Advances in Breast Cancer Research, vol. 06, no. 01, pp. 28–41, 2017. |
|
link |