| A chatbot by combining finite state machine, information retrieval, and bot-initiative strategy S Yi, K Jung Proc. Alexa Prize, 1-10, 2017 | 13 | 2017 |
| A compare-aggregate model with latent clustering for answer selection S Yoon, F Dernoncourt, DS Kim, T Bui, K Jung Proceedings of the 28th ACM international conference on information and …, 2019 | 82 | 2019 |
| A local decision test for sparse polynomials E Grigorescu, K Jung, R Rubinfeld Information Processing Letters 110 (20), 898-901, 2010 | 16 | 2010 |
| Action-driven contrastive representation for reinforcement learning M Kim, K Rho, Y Kim, K Jung Plos one 17 (3), e0265456, 2022 | 8 | 2022 |
| AdaStride: Using Adaptive Strides in Sequential Data for Effective Downsampling Y Lee, K Jung | | |
| AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence M Kim, H Lee, J Park, H Lee, K Jung arXiv preprint arXiv:2404.11826, 2024 | | 2024 |
| Air quality prediction with 1-dimensional convolution and attention on multi-modal features J Choi, J Kim, K Jung 2021 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2021 | 6 | 2021 |
| Algorithmically efficient networks K Jung, D Shah Submitted, 2008 | 3 | 2008 |
| Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo-Boolean Functions S Choi, K Jung, JH Kim The Annual Conference on Learning Theory (COLT), 2008 | 19 | 2008 |
| Analysis of information diffusion for threshold models on arbitrary networks S Lim, I Jung, S Lee, K Jung The European Physical Journal B 88, 1-14, 2015 | 13 | 2015 |
| Analysis of Information Diffusion on Threshold Models in Arbitrary Social Networks K Jung, S Lee, S Lim | | |
| Analysis of Tipping Points for Threshold Models on Arbitrary Networks K Hyuna, L Seulki, J Kyomin The 3rd Workshop on Complex Networks, 2012 | | 2012 |
| Analysis of Tipping Points in Social Networks for Diffusion of Innovations L Seulki, K Hyuna, J Kyomin Interdisciplinary Workshop on Informatition and Decision in Social Networks, 2011 | 1 | 2011 |
| Analyzing and controlling inter-head diversity in multi-head attention H Yun, T Kang, K Jung Applied Sciences 11 (4), 1548, 2021 | 7 | 2021 |
| Approximate inference: decomposition methods with applications to networks K Jung Massachusetts Institute of Technology, 2009 | 7 | 2009 |
| Approximate message-passing inference algorithm K Jung, D Shah 2007 IEEE Information Theory Workshop, 224-229, 2007 | 8 | 2007 |
| Asking clarification questions to handle ambiguity in open-domain qa D Lee, S Kim, M Lee, H Lee, J Park, SW Lee, K Jung arXiv preprint arXiv:2305.13808, 2023 | 3 | 2023 |
| Aspects of rumor spreading on a microblog network S Kwon, M Cha, K Jung, W Chen, Y Wang Social Informatics: 5th International Conference, SocInfo 2013, Kyoto, Japan …, 2013 | 55 | 2013 |
| Attentive modality hopping mechanism for speech emotion recognition S Yoon, S Dey, H Lee, K Jung ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 41 | 2020 |
| Attnconvnet at semeval-2018 task 1: Attention-based convolutional neural networks for multi-label emotion classification Y Kim, H Lee, K Jung arXiv preprint arXiv:1804.00831, 2018 | 52 | 2018 |
Devavrat ShahMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
