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Minh Pham

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2020 – today

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2024
[c19]
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Jiangbo Li, Zichen Xu, Minh Pham, Yicheng Tu, Qihe Zhou:
A Comparative Study of Intersection-Based Triangle Counting Algorithms on GPUs. IPDPS 2024: 1070-1081
[i5]
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Jacob Fein-Ashley, Ethan Feng, Minh Pham:
HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean Space. CoRR abs/2409.16897 (2024)
[i4]
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Khai Hanh Tang, Minh Pham, Chan Nam Ngo:
RAMenPaSTA: Parallelizable Scalable Transparent Arguments of Knowledge for RAM Programs. IACR Cryptol. ePrint Arch. 2024: 336 (2024)
2023
[c18]
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Chengcheng Mou, Minh Pham, Benjamin Hsu, Yicheng Tu:
Computing Group-By and Aggregates on Massively Parallel Systems. IEEE Big Data 2023: 149-158
[c17]
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Minh Pham, Yicheng Tu, Xiaoyi Lv:
Accelerating BWA-MEM Read Mapping on GPUs. ICS 2023: 155-166
2022
[c16]
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Minh Pham, Hao Li, Yongke Yuan, Chengcheng Mou, Kandethody Ramachandran, Zichen Xu, Yicheng Tu:
Dynamic memory management in massively parallel systems: a case on GPUs. ICS 2022: 24:1-24:13
[c15]
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Dmitry A. Perepelkin, Minh Pham:
Mathematical and Computer Modeling of Planning and Distribution of Heterogeneous Resources in Industrial Telecommunication Networks with Ordered Sets of Tasks. MECO 2022: 1-6
2021
[j12]
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Minh Pham, Kaiqi Xiong:
A survey on security attacks and defense techniques for connected and autonomous vehicles. Comput. Secur. 109: 102269 (2021)
[j11]
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Yu Du, Xiaodong Lin, Minh Pham, Andrzej Ruszczynski:
Selective linearization for multi-block statistical learning. Eur. J. Oper. Res. 293(1): 219-228 (2021)
[j10]
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Minh Pham, Anh Ninh, Hoang Le, Yufeng Liu:
An Efficient Algorithm for Minimizing Multi Non-Smooth Component Functions. J. Comput. Graph. Stat. 30(1): 162-170 (2021)
[j9]
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Minh Pham, Xiaodong Lin, Andrzej Ruszczynski, Yu Du:
An outer-inner linearization method for non-convex and nondifferentiable composite regularization problems. J. Glob. Optim. 81(1): 179-202 (2021)
[c14]
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Minh Pham, Martin Kappes:
Using a Graph Algorithm Based Metric to Navigate Important Nodes and Validate Network Availability Design. ACOMP 2021: 196-200
[c13]
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Minh Pham, Hung Nguyen, Long Dang, Jennifer Adorno Nieves:
Compressive Features in Offline Reinforcement Learning for Recommender Systems. IEEE BigData 2021: 5719-5726
[c12]
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Dmitry A. Perepelkin, Minh Pham:
Computer Modeling System of Allocating and Planning Processes of Heterogeneous Resources in Industrial Telecommunication Networks. REDUNDANCY 2021: 22-27
2020
[j8]
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  - journals/bioinformatics/PhamWGLL20
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Minh Pham, Stephen J. Wilson, Harikumar Govindarajan, Chih-Hsu Lin, Olivier Lichtarge:
Discovery of disease- and drug-specific pathways through community structures of a literature network. Bioinform. 36(6): 1881-1888 (2020)
[j7]
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Minh Pham, Stephen J. Wilson, Harikumar Govindarajan, Chih-Hsu Lin, Olivier Lichtarge:
Discovery of disease- and drug-specific pathways through community structures of a literature network. Bioinform. 36(11): 3623 (2020)
[j6]
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Minh Pham, Doan B. Hoang, Zenon Chaczko:
Congestion-Aware and Energy-Aware Virtual Network Embedding. IEEE/ACM Trans. Netw. 28(1): 210-223 (2020)
[c11]
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Minh Pham, Olivier Lichtarge:
Graph-Based Information Diffusion Method for Prioritizing Functionally Related Genes in Protein-Protein Interaction Networks. PSB 2020: 439-450
[i3]
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  - journals/corr/abs-2007-08041
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Minh Pham, Kaiqi Xiong:
A Survey on Security Attacks and Defense Techniques for Connected and Autonomous Vehicles. CoRR abs/2007.08041 (2020)
[i2]
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Jenna Oberstaller, Swamy Rakesh Adapa, Guy W. Dayhoff II, Justin Gibbons, Thomas E. Keller, Chang Li, Shen Jean Lim, Minh Pham, Anujit Sarkar, Ravi Sharma, Agaz H. Wani, Andrea Vianello, Linh M. Duong, Chenggi Wang, Celine Grace F. Atkinson, Madeleine Barrow, Nathan W. Van Bibber, Jan Dahrendorff, David A. E. Dean, Omkar Dokur, Gloria C. Ferreira, Mitchell Hastings, Gregory S. Herbert, Khandaker Tasnim Huq, Youngchul Kim, Xiangyun Liao, XiaoMing Liu, Fahad Mansuri, Lynn B. Martin, Elizabeth M. Miller, Ojas Natarajan, Jinyong Pang, Francesca Prieto, Peter W. Radulovic, Vyoma Sheth, Matthew Sumpter, Desirae Sutherland, Nisha Vijayakumar, Rays H. Y. Jiang:
Uncovering host-microbiome interactions in global systems with collaborative programming: a novel approach integrating social and data sciences. F1000Research 9: 1478 (2020)

2010 – 2019

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2019
[c10]
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Minh Pham, Doan B. Hoang, Zenon Chaczko:
Realization of congestion-aware energy-aware virtual link embedding. ITNAC 2019: 1-6
[d1]
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Charles Doodnauth, Minh Pham, Tien Nguyen, Steve Swaby:
HUD Pedestrian Detection. IEEE DataPort, 2019
[i1]
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Gloria C. Ferreira, Jenna Oberstaller, Renée Fonseca, Thomas E. Keller, Swamy Rakesh Adapa, Justin Gibbons, Chengqi Wang, Xiaoming Liu, Chang Li, Minh Pham, Guy W. Dayhoff II, Linh M. Duong, Luis Tañón Reyes, Luciano Enrique Laratelli, Douglas Franz, Segun A. Fatumo, ATM Golam Bari, Audrey Freischel, Lindsey Fiedler, Omkar Dokur, Krishna Sharma, Deborah Cragun, Ben Busby, Rays H. Y. Jiang:
Iron Hack - A symposium/hackathon focused on porphyrias, Friedreich's ataxia, and other rare iron-related diseases. F1000Research 8: 1135 (2019)
2018
[j5]
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Chong Zhang, Minh Pham, Sheng Fu, Yufeng Liu:
Robust multicategory support vector machines using difference convex algorithm. Math. Program. 169(1): 277-305 (2018)
[j4]
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Tingting Zhang, Minh Pham, Jianhui Sun, Guofen Yan, Huazhang Li, Yinge Sun, Marlen Z. Gonzalez, James Arthur Coan:
A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison. NeuroImage 173: 580-591 (2018)
[c9]
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Minh Pham, Jing Lin, Yanjia Zhang:
Diagnosing Voice Disorder with Machine Learning. IEEE BigData 2018: 5263-5266
2016
[c8]
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Minh Pham, Doan B. Hoang:
SDN applications - The intent-based Northbound Interface realisation for extended applications. NetSoft 2016: 372-377
2015
[j3]
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Chungmok Lee, Minh Pham, Myong Kee Jeong, Dohyun Kim, Dennis K. J. Lin, Wanpracha Art Chaovalitwongse:
A Network Structural Approach to the Link Prediction Problem. INFORMS J. Comput. 27(2): 249-267 (2015)
[c7]
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Doan B. Hoang, Minh Pham:
On software-defined networking and the design of SDN controllers. NOF 2015: 1-3
2014
[j2]
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Xiaodong Lin, Minh Pham, Andrzej Ruszczynski:
Alternating linearization for structured regularization problems. J. Mach. Learn. Res. 15(1): 3447-3481 (2014)
[c6]
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Chungmok Lee, Minh Pham, Norman Kim, Myong K. Jeong, Dennis K. J. Lin, Wanpracha Art Chaovalitwongse:
A novel link prediction approach for scale-free networks. WWW (Companion Volume) 2014: 1333-1338
2011
[c5]
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Nickens Okello, Minh Pham, Syed Khusro Saleem, Robin J. Evans, Iven Mareels:
Real-time LQ control of Murray-Darling basin networks. AuCC 2011: 205-210
2010
[j1]
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Wanzhi Qiu, Syed Khusro Saleem, Minh Pham:
Blind identification of multichannel systems driven by impulsive signals. Digit. Signal Process. 20(3): 736-742 (2010)

2000 – 2009

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2007
[c4]
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David Taubenheim, Wayne Chiou, Neiyer S. Correal, Paul Gorday, Spyros Kyperountas, Stephen Machan, Minh Pham, Qicai Shi, Ed Callaway, Richard Rachwalski:
Implementing an Experimental Cognitive Radio System for DySPAN. GLOBECOM 2007: 4040-4044
2005
[c3]
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Minh Pham, Mei Xiang, Chih-Cheng Hung, Bor-Chen Kuo:
A comparative study on the K-views classifier and Markov random fields for image texture classification. ACM Southeast Regional Conference (1) 2005: 96-97
[c2]
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Mei Xiang, Chih-Cheng Hung, Minh Pham, Bor-Chen Kuo, Tommy L. Coleman:
A parallelepiped multispectral image classifier using genetic algorithms. IGARSS 2005: 4
2004
[c1]
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Chih-Cheng Hung, Dilek Karabudak, Minh Pham, Tommy L. Coleman:
Experiments on image texture classification with K-views classifier, Markov random fields and cooccurrence probabilities. IGARSS 2004: 3818-3821

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