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Jun-Hyung Park

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2020 – today

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2024
[c21]
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Jun-Hyung Park, Mingyu Lee, Junho Kim, SangKeun Lee:
Coconut: Contextualized Commonsense Unified Transformers for Graph-Based Commonsense Augmentation of Language Models. ACL (Findings) 2024: 5815-5830
[c20]
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Junho Kim, Yeachan Kim, Jun-Hyung Park, Yerim Oh, Suho Kim, SangKeun Lee:
MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science. EMNLP (Findings) 2024: 10690-10703
[c19]
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Hyuntae Park, Yeachan Kim, Jun-Hyung Park, SangKeun Lee:
Zero-shot Commonsense Reasoning over Machine Imagination. EMNLP (Findings) 2024: 11451-11471
[c18]
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Jun-Hyung Park, Yeachan Kim, Mingyu Lee, Hyuntae Park, SangKeun Lee:
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction. EMNLP 2024: 14241-14254
[i4]
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  - journals/corr/abs-2408-01426
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Jun-Hyung Park, Yeachan Kim, Mingyu Lee, Hyuntae Park, SangKeun Lee:
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction. CoRR abs/2408.01426 (2024)
[i3]
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  - journals/corr/abs-2408-08021
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Jun-Hyung Park, Hyuntae Park, Youjin Kang, Eojin Jeon, SangKeun Lee:
DIVE: Towards Descriptive and Diverse Visual Commonsense Generation. CoRR abs/2408.08021 (2024)
2023
[c17]
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Jun-Hyung Park, Yeachan Kim, Junho Kim, Joon-Young Choi, SangKeun Lee:
Dynamic Structure Pruning for Compressing CNNs. AAAI 2023: 9408-9416
[c16]
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Yeachan Kim, Junho Kim, Wing-Lam Mok, Jun-Hyung Park, SangKeun Lee:
Client-Customized Adaptation for Parameter-Efficient Federated Learning. ACL (Findings) 2023: 1159-1172
[c15]
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Jun-Hyung Park, Hyuntae Park, Youjin Kang, Eojin Jeon, SangKeun Lee:
DIVE: Towards Descriptive and Diverse Visual Commonsense Generation. EMNLP 2023: 9677-9695
[c14]
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Joon-Young Choi, Junho Kim, Jun-Hyung Park, Wing-Lam Mok, SangKeun Lee:
SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts. EMNLP 2023: 14306-14316
[c13]
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Yeachan Kim, Junho Kim, Jun-Hyung Park, Mingyu Lee, SangKeun Lee:
Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing. EMNLP 2023: 15757-15769
[i2]
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  - journals/corr/abs-2303-09736
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Jun-Hyung Park, Yeachan Kim, Junho Kim, Joon-Young Choi, SangKeun Lee:
Dynamic Structure Pruning for Compressing CNNs. CoRR abs/2303.09736 (2023)
2022
[j4]
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Jun-Hyung Park, Byung-Ju Choi, SangKeun Lee:
Examining the impact of adaptive convolution on natural language understanding. Expert Syst. Appl. 189: 116044 (2022)
[j3]
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Jun-Hyung Park, Kang-Min Kim, SangKeun Lee:
Quantized Sparse Training: A Unified Trainable Framework for Joint Pruning and Quantization in DNNs. ACM Trans. Embed. Comput. Syst. 21(5): 60:1-60:22 (2022)
[c12]
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Yong-Ho Jung, Jun-Hyung Park, Joon-Young Choi, Mingyu Lee, Junho Kim, Kang-Min Kim, SangKeun Lee:
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference. ACL (Findings) 2022: 1514-1523
[c11]
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Nayeon Kim, Jun-Hyung Park, Joon-Young Choi, Eojin Jeon, Youjin Kang, SangKeun Lee:
Break it Down into BTS: Basic, Tiniest Subword Units for Korean. EMNLP 2022: 7007-7024
[c10]
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Junho Kim, Jun-Hyung Park, Mingyu Lee, Wing-Lam Mok, Joon-Young Choi, SangKeun Lee:
Tutoring Helps Students Learn Better: Improving Knowledge Distillation for BERT with Tutor Network. EMNLP 2022: 7371-7382
[c9]
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Mingyu Lee, Jun-Hyung Park, Junho Kim, Kang-Min Kim, SangKeun Lee:
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking. EMNLP 2022: 7417-7427
[i1]
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  - journals/corr/abs-2212-07617
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Mingyu Lee, Jun-Hyung Park, Junho Kim, Kang-Min Kim, SangKeun Lee:
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking. CoRR abs/2212.07617 (2022)
2021
[j2]
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  - journals/neuroimage/ZhaoFCSGISKHHOW21
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Moss Y. Zhao, Audrey P. Fan, David Yen-Ting Chen, Magdalena J. Sokolska, Jia Guo, Yosuke Ishii, David D. Shin, Mohammad Mehdi Khalighi, Dawn Holley, Kim Halbert, Andrea Otte, Brittney Williams, Taghi Rostami, Jun-Hyung Park, Bin Shen, Greg Zaharchuk:
Cerebrovascular reactivity measurements using simultaneous ¹⁵O-water PET and ASL MRI: Impacts of arterial transit time, labeling efficiency, and hematocrit. NeuroImage 233: 117955 (2021)
[c8]
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San-Hee Park, Kang-Min Kim, Seonhee Cho, Jun-Hyung Park, Hyuntae Park, Hyuna Kim, Seongwon Chung, SangKeun Lee:
KOAS: Korean Text Offensiveness Analysis System. EMNLP (Demos) 2021: 72-78
2020
[c7]
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Kang-Min Kim, Bumsu Hyeon, Yeachan Kim, Jun-Hyung Park, SangKeun Lee:
Multi-pretraining for Large-scale Text Classification. EMNLP (Findings) 2020: 2041-2050

2010 – 2019

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2019
[j1]
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Kang-Min Kim, Woo-Jong Ryu, Jun-Hyung Park, SangKeun Lee:
meChat: In-Device Personal Assistant for Conversational Photo Sharing. IEEE Internet Comput. 23(2): 23-30 (2019)
[c6]
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  - conf/mobisys/LeeRALKP019
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Jungho Lee, Woo-Jong Ryu, Yoonjoo Ahn, Song-Eun Lee, Kang-Min Kim, Jun-Hyung Park, SangKeun Lee:
meChat: In-device Conversational Photo Sharing Service. MobiSys 2019: 655-656
[c5]
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Byung-Ju Choi, Jun-Hyung Park, SangKeun Lee:
Adaptive Convolution for Text Classification. NAACL-HLT (1) 2019: 2475-2485

2000 – 2009

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2009
[c4]
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Jun-Hyung Park, Hyun Suk Lee, Ju Seok Jeong, Tae-Jeong Jang:
Realization of a vibro-tactile glove type mouse. VRST 2009: 255-256
2008
[c3]
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Jun-Hyung Park, Minsoo Kim, Bong-Nam Noh:
A Visualization Technique for Installation Evidences Containing Malicious Executable Files Using Machine Language Sequence. WISA 2008: 201-210
2006
[c2]
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Jun-Hyung Park, Minsoo Kim, BongNam Noh, James B. D. Joshi:
A similarity based technique for detecting malicious executable files for computer forensics. IRI 2006: 188-193
2004
[c1]
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Jun-Hyung Park, Minsoo Kim, BongNam Noh:
Detection Techniques for ELF Executable File Using Assembly Instruction Searching. ICCSA (1) 2004: 230-237

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