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Dat Hong

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2020 – today

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2024
[i4]
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  - journals/corr/abs-2407-00147
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Dat Hong, Philip M. Polgreen, Alberto Maria Segre:
Predicting Elevated Risk of Hospitalization Following Emergency Department Discharges. CoRR abs/2407.00147 (2024)
[i3]
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  - journals/corr/abs-2408-07238
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Tong Wang, K. Sudhir, Dat Hong:
Using Advanced LLMs to Enhance Smaller LLMs: An Interpretable Knowledge Distillation Approach. CoRR abs/2408.07238 (2024)
2023
[j2]
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  - journals/jmlr/HongWB23
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Dat Hong, Tong Wang, Stephen Baek:
ProtoryNet - Interpretable Text Classification Via Prototype Trajectories. J. Mach. Learn. Res. 24: 264:1-264:39 (2023)
[i2]
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  - journals/corr/abs-2312-08724
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Dat Hong, Tong Wang:
Personalized Path Recourse. CoRR abs/2312.08724 (2023)
2022
[c1]
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  - conf/kdd/HongSW22
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Dat Hong, Alberto Maria Segre, Tong Wang:
AdaAX: Explaining Recurrent Neural Networks by Learning Automata with Adaptive States. KDD 2022: 574-584
2020
[i1]
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  - journals/corr/abs-2007-01777
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Dat Hong, Stephen S. Baek, Tong Wang:
Interpretable Sequence Classification Via Prototype Trajectory. CoRR abs/2007.01777 (2020)

2010 – 2019

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2019
[j1]
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  - journals/popets/RusertKHSS19
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Jonathan Rusert, Osama Khalid, Dat Hong, Zubair Shafiq, Padmini Srinivasan:
No Place to Hide: Inadvertent Location Privacy Leaks on Twitter. Proc. Priv. Enhancing Technol. 2019(4): 172-189 (2019)

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