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Jun-Hyung Park
Jun-Hyung Park
Postdoc researcher in Korea University
Verified email at korea.ac.kr - Homepage
Title
Cited by
Cited by
Year
Adaptive convolution for text classification
BJ Choi, JH Park, SK Lee
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
192019
Efficient pre-training of masked language model via concept-based curriculum masking
M Lee, JH Park, J Kim, KM Kim, SK Lee
arXiv preprint arXiv:2212.07617, 2022
102022
Dynamic structure pruning for compressing CNNs
JH Park, Y Kim, J Kim, JY Choi, SK Lee
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9408-9416, 2023
92023
Quantized sparse training: a unified trainable framework for joint pruning and quantization in DNNs
JH Park, KM Kim, S Lee
ACM Transactions on Embedded Computing Systems (TECS) 21 (5), 1-22, 2022
72022
Multi-pretraining for large-scale text classification
KM Kim, B Hyeon, Y Kim, JH Park, SK Lee
Findings of the Association for Computational Linguistics: EMNLP 2020, 2041-2050, 2020
62020
Learning from missing relations: Contrastive learning with commonsense knowledge graphs for commonsense inference
YH Jung, JH Park, JY Choi, M Lee, J Kim, KM Kim, SK Lee
Findings of the Association for Computational Linguistics: ACL 2022, 1514-1523, 2022
52022
MeChat: In-device personal assistant for conversational photo sharing
KM Kim, WJ Ryu, JH Park, SK Lee
IEEE Internet Computing 23 (2), 23-30, 2018
52018
Client-customized adaptation for parameter-efficient federated learning
Y Kim, J Kim, WL Mok, JH Park, SK Lee
Findings of the Association for Computational Linguistics: ACL 2023, 1159-1172, 2023
42023
Examining the impact of adaptive convolution on natural language understanding
JH Park, BJ Choi, SK Lee
Expert Systems with Applications 189, 116044, 2022
32022
KOAS: Korean text offensiveness analysis system
SH Park, KM Kim, S Cho, JH Park, H Park, H Kim, S Chung, SK Lee
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
32021
SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts
JY Choi, J Kim, JH Park, WL Mok, SK Lee
The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
22023
Tutoring helps students learn better: Improving knowledge distillation for bert with tutor network
J Kim, JH Park, M Lee, WL Mok, JY Choi, SK Lee
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
22022
Break it down into bts: Basic, tiniest subword units for korean
N Kim, JH Park, JY Choi, E Jeon, Y Kang, SK Lee
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
12022
Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing
Y Kim, J Kim, JH Park, M Lee, SK Lee
The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2023
DIVE: Towards Descriptive and Diverse Visual Commonsense Generation
JH Park, H Park, Y Kang, E Jeon, SK Lee
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
2023
meChat: In-device Conversational Photo Sharing Service
J Lee, WJ Ryu, Y Ahn, SE Lee, KM Kim, JH Park, SK Lee
Proceedings of the 17th Annual International Conference on Mobile Systems …, 2019
2019
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Articles 1–16