Minh Pham

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 50

Top Topics

Communication Networks

Semantic Descriptions

Link Prediction

Top Venues

Publications

Khai Hanh Tang, Minh Pham, Chan Nam Ngo
RAMenPaSTA: Parallelizable Scalable Transparent Arguments of Knowledge for RAM Programs. IACR Cryptol. ePrint Arch. 2024 (2024)
Raunak Manekar, Elisa Negrini, Minh Pham, Daniel Jacobs, Jaideep Srivastava
LoDIP: Low light phase retrieval with deep image prior. CoRR (2024)
Jiangbo Li, Zichen Xu, Minh Pham, Yicheng Tu, Qihe Zhou
A Comparative Study of Intersection-Based Triangle Counting Algorithms on GPUs. IPDPS (2024)
Kelly O. Marshall, Minh Pham, Ameya Joshi, Anushrut Jignasu, Aditya Balu, Adarsh Krishnamurthy, Chinmay Hegde
ZeroForge: Feedforward Text-to-Shape Without 3D Supervision. CoRR (2023)
Minh Pham, Yicheng Tu, Xiaoyi Lv
Accelerating BWA-MEM Read Mapping on GPUs. ICS (2023)
Chengcheng Mou, Minh Pham, Benjamin Hsu, Yicheng Tu
Computing Group-By and Aggregates on Massively Parallel Systems. BigData (2023)
Tan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley J. Osher, Nhat Ho
Transformer with Fourier Integral Attentions. CoRR (2022)
Minh Pham, Minsu Cho, Ameya Joshi, Chinmay Hegde
Revisiting Self-Distillation. CoRR (2022)
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)
Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. CoRR (2022)
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)
Binh Vu, Craig A. Knoblock, Pedro A. Szekely, Minh Pham, Jay Pujara
A Graph-Based Approach for Inferring Semantic Descriptions of Wikipedia Tables. ISWC (2021)
Minh Pham, Martin Kappes
Using a Graph Algorithm Based Metric to Navigate Important Nodes and Validate Network Availability Design. ACOMP (2021)
Minh Pham, Ha Manh Do, Zhidong Su, Alex J. Bishop, Weihua Sheng
Negative Emotion Management Using a Smart Shirt and a Robot Assistant. IEEE Robotics Autom. Lett. 6 (2) (2021)
Minh Pham, Craig A. Knoblock, Muhao Chen, Binh Vu, Jay Pujara
SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables. IJCAI (2021)
Minh Pham, Anh Ninh, Hoang Le, Yufeng Liu
An Efficient Algorithm for Minimizing Multi Non-Smooth Component Functions. J. Comput. Graph. Stat. 30 (1) (2021)
Yolanda Gil, Daniel Garijo, Deborah Khider, Craig A. Knoblock, Varun Ratnakar, Maximiliano Osorio, Hernán Vargas, Minh Pham, Jay Pujara, Basel Shbita, Binh Vu, Yao-Yi Chiang, Dan Feldman, Yijun Lin, Hayley Song, Vipin Kumar, Ankush Khandelwal, Michael S. Steinbach, Kshitij Tayal, Shaoming Xu, Suzanne A. Pierce, Lissa Pearson, Daniel Hardesty-Lewis, Ewa Deelman, Rafael Ferreira da Silva, Rajiv Mayani, Armen R. Kemanian, Yuning Shi, Lorne Leonard, Scott D. Peckham, Maria Stoica, Kelly M. Cobourn, Zeya Zhang, Christopher J. Duffy, Lele Shu
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. 11 (2) (2021)
Anand Ramakrishnan, Minh Pham, Jacob Whitehill
Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning. CoRR (2021)
Dmitry A. Perepelkin, Minh Pham
Computer Modeling System of Allocating and Planning Processes of Heterogeneous Resources in Industrial Telecommunication Networks. REDUNDANCY (2021)
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) (2021)
Minh Pham, Kaiqi Xiong
A survey on security attacks and defense techniques for connected and autonomous vehicles. Comput. Secur. 109 (2021)
Minh Pham, Hung Nguyen, Long Dang, Jennifer Adorno Nieves
Compressive Features in Offline Reinforcement Learning for Recommender Systems. IEEE BigData (2021)
Yu Du, Xiaodong Lin, Minh Pham, Andrzej Ruszczynski
Selective linearization for multi-block statistical learning. Eur. J. Oper. Res. 293 (1) (2021)
Minh Pham, Zeqian Li, Jacob Whitehill
How Does Label Noise Affect the Quality of Speaker Embeddings? INTERSPEECH (2020)
Isa Jahnke, Yen-Mei Lee, Minh Pham, Hao He, Linda Austin
Unpacking the Inherent Design Principles of Mobile Microlearning. Technol. Knowl. Learn. 25 (3) (2020)
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 (2020)
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) (2020)
Minh Pham, Olivier Lichtarge
Graph-Based Information Diffusion Method for Prioritizing Functionally Related Genes in Protein-Protein Interaction Networks. PSB (2020)
Minh Pham, Zeqian Li, Jacob Whitehill
Toward Better Speaker Embeddings: Automated Collection of Speech Samples From Unknown Distinct Speakers. ICASSP (2020)
Minh Pham, Kaiqi Xiong
A Survey on Security Attacks and Defense Techniques for Connected and Autonomous Vehicles. CoRR (2020)
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) (2020)
Minh Pham, Doan B. Hoang, Zenon Chaczko
Congestion-Aware and Energy-Aware Virtual Network Embedding. IEEE/ACM Trans. Netw. 28 (1) (2020)
Minh Pham, Craig A. Knoblock, Jay Pujara
Learning Data Transformations with Minimal User Effort. IEEE BigData (2019)
Daniel Garijo, Deborah Khider, Varun Ratnakar, Yolanda Gil, Ewa Deelman, Rafael Ferreira da Silva, Craig A. Knoblock, Yao-Yi Chiang, Minh Pham, Jay Pujara, Binh Vu, Dan Feldman, Rajiv Mayani, Kelly M. Cobourn, Christopher J. Duffy, Armen R. Kemanian, Lele Shu, Vipin Kumar, Ankush Khandelwal, Kshitij Tayal, Scott D. Peckham, Maria Stoica, Anna Dabrowski, Daniel Hardesty-Lewis, Suzanne A. Pierce
An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. IUI Companion (2019)
Minh Pham, Doan B. Hoang, Zenon Chaczko
Realization of congestion-aware energy-aware virtual link embedding. ITNAC (2019)
Minh Pham, Dan Yang, Weihua Sheng
A Sensor Fusion Approach to Indoor Human Localization Based on Environmental and Wearable Sensors. IEEE Trans Autom. Sci. Eng. 16 (1) (2019)
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 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 (2019)
Penghang Yin, Minh Pham, Adam M. Oberman, Stanley J. Osher
Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-Means Clustering. J. Sci. Comput. 77 (2) (2018)
Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin
Laplacian Smoothing Gradient Descent. CoRR (2018)
Minh Pham, Jing Lin, Yanjia Zhang
Diagnosing Voice Disorder with Machine Learning. IEEE BigData (2018)
Chong Zhang, Minh Pham, Sheng Fu, Yufeng Liu
Robust multicategory support vector machines using difference convex algorithm. Math. Program. 169 (1) (2018)
Tingting Zhang, Minh Pham, Jianhui Sun, Guofen Yan, Huazhang Li, Yinge Sun, Marlen Z. Gonzalez, James A. 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 (2018)
Ha Manh Do, Minh Pham, Weihua Sheng, Dan Yang, Meiqin Liu
RiSH: A robot-integrated smart home for elderly care. Robotics Auton. Syst. 101 (2018)
Minh Pham, Yehenew Mengistu, Ha Manh Do, Weihua Sheng
Delivering home healthcare through a Cloud-based Smart Home Environment (CoSHE). Future Gener. Comput. Syst. 81 (2018)
Penghang Yin, Minh Pham, Adam M. Oberman, Stanley J. Osher
Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-means Clustering. CoRR (2017)
Craig A. Knoblock, Aparna R. Joshi, Abhishek Megotia, Minh Pham, Chelsea Ursaner
Automatic Spatio-temporal Indexing to Integrate and Analyze the Data of an Organization. UrbanGIS@SIGSPATIAL (2017)
Minh Pham, Suresh Alse, Craig A. Knoblock, Pedro A. Szekely
Semantic Labeling: A Domain-Independent Approach. ISWC (1) (2016)
Yehenew Mengistu, Minh Pham, Ha Manh Do, Weihua Sheng
AutoHydrate: A wearable hydration monitoring system. IROS (2016)
Minh Pham, Yehenew Mengistu, Ha Manh Do, Weihua Sheng
Cloud-Based Smart Home Environment (CoSHE) for home healthcare. CASE (2016)
Minh Pham, Doan B. Hoang
SDN applications - The intent-based Northbound Interface realisation for extended applications. NetSoft (2016)
Doan B. Hoang, Minh Pham
On software-defined networking and the design of SDN controllers. NOF (2015)
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) (2015)
Minh Pham, Dan Yang, Weihua Sheng, Meiqin Liu
Human localization and tracking using distributed motion sensors and an inertial measurement unit. ROBIO (2015)
Xiaodong Lin, Minh Pham, Andrzej Ruszczynski
Alternating linearization for structured regularization problems. J. Mach. Learn. Res. 15 (1) (2014)
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)
Wanzhi Qiu, Syed Khusro Saleem, Minh Pham
Blind identification of multichannel systems driven by impulsive signals. Digit. Signal Process. 20 (3) (2010)
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)
Mei Xiang, Chih-Cheng Hung, Minh Pham, Bor-Chen Kuo, Tommy L. Coleman
A parallelepiped multispectral image classifier using genetic algorithms. IGARSS (2005)
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)
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)