An empirical study of multipass decoding for vietnamese LVCSR. - Khoa Trinh; Ha Nguyen; Duc Duong; Quan Vu (SLTU, 2008)

An Approximation Approach for a Real-World Variant of Vehicle Routing Problem. - Khoa Trinh; Nguyen Dang 003; Tien Ba Dinh (ACIIDS Posters, 2011)

A Stochastic Optimization Method for Solving the Machine-Part Cell Formation Problem. - Khoa Trinh; Jacques A. Ferland; Tien Ba Dinh (ICIC (1), 2011)

'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. - Naren Ramakrishnan; Patrick Butler; Sathappan Muthiah; Nathan Self; Rupinder Paul Khandpur; Parang Saraf; Wei Wang 064; Jose Cadena; Anil Vullikanti; Gizem Korkmaz; Chris J. Kuhlman; Achla Marathe; et al. (KDD, 2014)

An Improved Approximation for $k$-median, and Positive Correlation in Budgeted Optimization. - Jaroslaw Byrka; Thomas W. Pensyl; Bartosz Rybicki; Aravind Srinivasan; Khoa Trinh (CoRR, 2014)

Symmetric Randomized Dependent Rounding. - David G. Harris 001; Thomas W. Pensyl; Aravind Srinivasan; Khoa Trinh (CoRR, 2017)

An Improved Approximation for k-Median and Positive Correlation in Budgeted Optimization. - Jaroslaw Byrka; Thomas W. Pensyl; Bartosz Rybicki; Aravind Srinivasan; Khoa Trinh (ACM Trans. Algorithms, 2017)

Approximation Algorithms for Facility Location and Clustering Problems. - Khoa Trinh (2017)

An Improved Approximation Algorithm for Knapsack Median Using Sparsification. - Jaroslaw Byrka; Thomas W. Pensyl; Bartosz Rybicki; Joachim Spoerhase; Aravind Srinivasan; Khoa Trinh (Algorithmica, 2018)

Approximation Algorithms for Stochastic Clustering. - David G. Harris 001; Shi Li 001; Thomas W. Pensyl; Aravind Srinivasan; Khoa Trinh (J. Mach. Learn. Res., 2019)

A Lottery Model for Center-Type Problems With Outliers. - David G. Harris 001; Thomas W. Pensyl; Aravind Srinivasan; Khoa Trinh (ACM Trans. Algorithms, 2019)

Weighted Distillation with Unlabeled Examples. - Fotis Iliopoulos; Vasilis Kontonis; Cenk Baykal; Gaurav Menghani; Khoa Trinh; Erik Vee (NeurIPS, 2022)

Improved Bi-point Rounding Algorithms and a Golden Barrier for k-Median. - Kishen N. Gowda; Thomas W. Pensyl; Aravind Srinivasan; Khoa Trinh (CoRR, 2022)

Dependent randomized rounding for clustering and partition systems with knapsack constraints. - David G. Harris 001; Thomas W. Pensyl; Aravind Srinivasan; Khoa Trinh (J. Mach. Learn. Res., 2022)

Robust Active Distillation. - Cenk Baykal; Khoa Trinh; Fotis Iliopoulos; Gaurav Menghani; Erik Vee (ICLR, 2023)

SLaM: Student-Label Mixing for Distillation with Unlabeled Examples. - Vasilis Kontonis; Fotis Iliopoulos; Khoa Trinh; Cenk Baykal; Gaurav Menghani; Erik Vee (NeurIPS, 2023)

Improved Bi-point Rounding Algorithms and a Golden Barrier for k-Median. - Kishen N. Gowda; Thomas W. Pensyl; Aravind Srinivasan; Khoa Trinh (SODA, 2023)

SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation. - Vasilis Kontonis; Fotis Iliopoulos; Khoa Trinh; Cenk Baykal; Gaurav Menghani; Erik Vee (CoRR, 2023)