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Dung K. Ha 0001

Dung K. T. Ha 0001

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affiliation: People's Security Academy, Faculty of Information and Security Technology, Hanoi, Vietnam

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2020 – today

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2023
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Canh V. Pham, Dung K. Ha:
A note for approximating the submodular cover problem over integer lattice with low adaptive and query complexities. Inf. Process. Lett. 182: 106393 (2023)
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Canh V. Pham, Tan D. Tran, Dung K. T. Ha, My T. Thai:
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint. IJCAI 2023: 4127-4135
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Dung K. T. Ha, Canh V. Pham, Tan D. Tran, Huan X. Hoang:
Robust Approximation Algorithms for Non-Monotone k-Submodular Maximization Under a Knapsack Constraint. KSE 2023: 1-6
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  - journals/corr/abs-2305-10292
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Canh V. Pham, Tan D. Tran, Dung K. T. Ha, My T. Thai:
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint. CoRR abs/2305.10292 (2023)
2022
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Dung K. Ha, Canh V. Pham, Huan X. Hoang:
Submodular Maximization Subject to a Knapsack Constraint Under Noise Models. Asia Pac. J. Oper. Res. 39(6): 2250013:1-2250013:26 (2022)
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Canh V. Pham, Quang C. Vu, Dung K. Ha, Tai T. Nguyen, Nguyen D. Le:
Maximizing k-submodular functions under budget constraint: applications and streaming algorithms. J. Comb. Optim. 44(1): 723-751 (2022)
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Canh V. Pham, Dung K. T. Ha, Huan X. Hoang, Tan D. Tran:
Fast Streaming Algorithms for k-Submodular Maximization under a Knapsack Constraint. DSAA 2022: 1-10
2021
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Canh V. Pham, Quang C. Vu, Dung K. Ha, Tai T. Nguyen:
Streaming Algorithms for Budgeted k-Submodular Maximization Problem. CSoNet 2021: 27-38
2020
[j1]
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Canh V. Pham, Dung K. T. Ha, Quang C. Vu, Anh N. Su, Huan X. Hoang:
Influence Maximization with Priority in Online Social Networks. Algorithms 13(8): 183 (2020)

2010 – 2019

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2016
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Canh V. Pham, My T. Thai, Dung K. Ha, Dung Q. Ngo, Huan X. Hoang:
Time-Critical Viral Marketing Strategy with the Competition on Online Social Networks. CSoNet 2016: 111-122
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Canh V. Pham, Dung K. Ha, Dung Q. Ngo, Quang C. Vu, Huan X. Hoang:
A new viral marketing strategy with the competition in the large-scale online social networks. RIVF 2016: 1-6

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