College of Commerce and Economics

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  • 2025

    Online Continuous Generalized Category Discovery

    Park, K. H., Lee, H., Song, K. & Park, G. M., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 53-69 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15139 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2024

    Can Separators Improve Chain-of-Thought Prompting?

    Park, Y., Kim, H., Choi, C., Kim, J. & Sohn, J. Y., 2024, 2024 2nd International Conference on Foundation and Large Language Models, FLLM 2024. Jararweh, Y., Jansen, J. & Alsmirat, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 493-500 8 p. (2024 2nd International Conference on Foundation and Large Language Models, FLLM 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text

    Lee, H., Park, K. H., Byun, H., Yeom, J., Kim, J., Park, G. M. & Song, K., 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 14866-14882 17 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification

    Lim, S., Kim, Y., Choi, C. H., Sohn, J. Y. & Kim, B. H., 2024, ClinicalNLP 2024 - 6th Workshop on Clinical Natural Language Processing, Proceedings of the Workshop. Naumann, T., Abacha, A. B., Bethard, S., Roberts, K. & Bitterman, D. (eds.). Association for Computational Linguistics (ACL), p. 292-300 9 p. (ClinicalNLP 2024 - 6th Workshop on Clinical Natural Language Processing, Proceedings of the Workshop).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer

    Jung, H., Oh, C., Kang, J., Sohn, J., Song, K., Kim, J. & Mortensen, D. R., 2024, MRL 2024 - 4th Workshop on Multilingual Representation Learning, Proceedings of the Workshop. Saleva, J. & Owodunni, A. (eds.). Association for Computational Linguistics (ACL), p. 200-211 12 p. (MRL 2024 - 4th Workshop on Multilingual Representation Learning, Proceedings of the Workshop).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Overcoming Data Imbalance in Federated Learning with Calibration Weighting

    Kang, N., Lim, Y. & Im, J., 2024, Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024. Ding, W., Lu, C.-T., Wang, F., Di, L., Wu, K., Huan, J., Nambiar, R., Li, J., Ilievski, F., Baeza-Yates, R. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 7832-7841 10 p. (Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments

    Lee, H., Byun, H., Oh, C., Bak, J. Y. & Song, K., 2024 Oct 16, ECAI 2024 - 27th European Conference on Artificial Intelligence, Including 13th Conference on Prestigious Applications of Intelligent Systems, PAIS 2024, Proceedings. Endriss, U., Melo, F. S., Bach, K., Bugarin-Diz, A., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). IOS Press BV, p. 2066-2073 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 392).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 2023

    BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning

    Oh, C., Hwang, H., Lee, H. Y., Lim, Y. T., Jung, G., Jung, J., Choi, H. & Song, K., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 24224-24235 12 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    22 Citations (Scopus)
  • Can We Find Strong Lottery Tickets in Generative Models?

    Yeo, S., Jang, Y., Sohn, J. Y., Han, D. & Yoo, J., 2023 Jun 27, AAAI-23 Technical Tracks 3. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI press, p. 3267-3275 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    4 Citations (Scopus)
  • Causally Disentangled Generative Variational AutoEncoder

    An, S. H., Song, K. & Jeon, J. J., 2023 Sept 28, ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings. Gal, K., Gal, K., Nowe, A., Nalepa, G. J., Fairstein, R. & Radulescu, R. (eds.). IOS Press BV, p. 93-100 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 372).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Geodesic Multi-Modal Mixup for Robust Fine-Tuning

    Oh, C., So, J., Byun, H., Lim, Y. T., Shin, M., Jeon, J. J. & Song, K., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)
  • Retrieval-based Evaluation for LLMs: A Case Study in Korean Legal QA

    Ryu, C., Lee, S., Pang, S., Choi, C., Choi, H., Min, M. & Sohn, J. Y., 2023, NLLP 2023 - Natural Legal Language Processing Workshop 2023, Proceedings of the Workshop. Preotiuc-Pietro, D., Goanta, C., Chalkidis, I., Barrett, L., Spanakis, G. & Aletras, N. (eds.). Association for Computational Linguistics (ACL), p. 132-137 6 p. (NLLP 2023 - Natural Legal Language Processing Workshop 2023, Proceedings of the Workshop).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)
  • 2022

    A permutation-free kernel two-sample test

    Shekhar, S., Kim, I. & Ramdas, A., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Citations (Scopus)
  • Breaking Fair Binary Classification with Optimal Flipping Attacks

    Jo, C., Sohn, J. Y. & Lee, K., 2022, 2022 IEEE International Symposium on Information Theory, ISIT 2022. Institute of Electrical and Electronics Engineers Inc., p. 1453-1458 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2022-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    2 Citations (Scopus)
  • Efficient Aggregated Kernel Tests using Incomplete U-statistics

    Schrab, A., Kim, I., Guedj, B. & Gretton, A., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Citations (Scopus)
  • Learning Fair Representation via Distributional Contrastive Disentanglement

    Oh, C., Won, H., So, J., Kim, T., Kim, Y., Choi, H. & Song, K., 2022 Aug 14, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1295-1305 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    23 Citations (Scopus)
  • LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

    Dinh, T., Zeng, Y., Zhang, R., Lin, Z., Gira, M., Rajput, S., Sohn, J. Y., Papailiopoulos, D. & Lee, K., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    39 Citations (Scopus)
  • Rare Gems: Finding Lottery Tickets at Initialization

    Sreenivasan, K., Sohn, J. Y., Yang, L., Grinde, M., Nagle, A., Wang, H., Xing, E., Lee, K. & Papailiopoulos, D., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    17 Citations (Scopus)
  • Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

    Lee, K., Yang, H., Chakraborty, S., Cai, Z., Swaminathan, G., Ravichandran, A. & Dabeer, O., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 366-382 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13680 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)
  • Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation

    Jang, J. H., Na, B., Shin, D. H., Ji, M., Song, K. & Moon, I. C., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    22 Citations (Scopus)
  • 2021

    Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder

    Kim, H., Shin, S., Jang, J. H., Song, K., Joo, W., Kang, W. & Moon, I. C., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 8128-8136 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 9B).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    32 Citations (Scopus)
  • Implicit Kernel Attention

    Song, K., Jung, Y., Kim, D. & Moon, I. C., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 9713-9721 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 11A).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    5 Citations (Scopus)
  • Improving Transferability of Representations via Augmentation-Aware Self-Supervision

    Lee, H., Lee, K., Lee, K., Lee, H. & Shin, J., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 17710-17722 13 p. (Advances in Neural Information Processing Systems; vol. 21).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    26 Citations (Scopus)
  • LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning

    Kim, Y. Y., Song, K., Jang, J. & Moon, I. C., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 22919-22930 12 p. (Advances in Neural Information Processing Systems; vol. 27).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    21 Citations (Scopus)
  • Robust quantum classifier with minimal overhead

    Park, D. K., Blank, C. & Petruccione, F., 2021 Jul 18, IJCNN 2021 - International Joint Conference on Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks; vol. 2021-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    4 Citations (Scopus)
  • TiBroco: A fast and secure distributed learning framework for tiered wireless edge networks

    Han, D. J., Sohn, J. Y. & Moon, J., 2021 May 10, INFOCOM 2021 - IEEE Conference on Computer Communications. Institute of Electrical and Electronics Engineers Inc., 9488860. (Proceedings - IEEE INFOCOM; vol. 2021-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2020

    Bivariate beta-LSTM

    Song, K., Jang, J. H., Shin, S. J. & Moon, I. C., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 5818-5825 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)
  • Context aware sequence model

    Song, K., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 5208-5209 2 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Deep Generative Positive-Unlabeled Learning under Selection Bias

    Na, B., Kim, H., Song, K., Joo, W., Kim, Y. Y. & Moon, I. C., 2020 Oct 19, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1155-1164 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    17 Citations (Scopus)
  • Differentially Private Generation of Social Networks via Exponential Random Graph Models

    Liu, F., Eugenio, E., Jin, I. H. & Bowen, C., 2020 Jul, Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020. Chan, W. K., Claycomb, B., Takakura, H., Yang, J.-J., Teranishi, Y., Towey, D., Segura, S., Shahriar, H., Reisman, S. & Ahamed, S. I. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1695-1700 6 p. 9202793. (Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    6 Citations (Scopus)
  • Hierarchically clustered representation learning

    Shin, S. J., Song, K. & Moon, I. C., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 5776-5783 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    7 Citations (Scopus)
  • Neutralizing gender bias in word embeddings with latent disentanglement and counterfactual generation

    Shin, S., Song, K., Jang, J. H., Kim, H., Joo, W. & Moon, I. C., 2020, Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020. Association for Computational Linguistics (ACL), p. 3126-3140 15 p. (Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Citations (Scopus)
  • Sequential recommendation with relation-aware kernelized self-attention

    Ji, M., Joo, W., Song, K., Kim, Y. Y. & Moon, I. C., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 4304-4311 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    23 Citations (Scopus)
  • 2019

    Adversarial dropout for recurrent neural networks

    Park, S., Song, K., Ji, M., Lee, W. & Moon, I. C., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 4699-4706 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    2 Citations (Scopus)
  • Automatic correction of lithography hotspots with a deep generative model

    Sim, W., Lee, K., Yang, D., Jeong, J., Hong, J. S., Lee, S. & Lee, H., 2019, Optical Microlithography XXXII. Kye, J. & Owa, S. (eds.). SPIE, 1096105. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10961).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Citations (Scopus)
  • Coded Distributed Computing over Packet Erasure Channels

    Han, D. J., Sohn, J. Y. & Moon, J., 2019 Jul, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 717-721 5 p. 8849747. (IEEE International Symposium on Information Theory - Proceedings; vol. 2019-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    9 Citations (Scopus)
  • Coded Matrix Multiplication on a Group-Based Model

    Kim, M., Sohn, J. Y. & Moon, J., 2019 Jul, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 722-726 5 p. 8849317. (IEEE International Symposium on Information Theory - Proceedings; vol. 2019-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    16 Citations (Scopus)
  • Hierarchical context enabled recurrent neural network for recommendation

    Song, K., Ji, M., Park, S. & Moon, I. C., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 4983-4991 9 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    27 Citations (Scopus)
  • Incremental learning with unlabeled data in the wild

    Lee, K., Lee, K., Shin, J. & Lee, H., 2019 Jun, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019. IEEE Computer Society, p. 29-32 4 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)
  • Overcoming catastrophic forgetting with unlabeled data in the wild

    Lee, K., Lee, K., Shin, J. & Lee, H., 2019 Oct, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 312-321 10 p. 9010368. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    159 Citations (Scopus)
  • Robust inference via generative classifiers for handling noisy labels

    Lee, K., Yun, S., Lee, K., Lee, H., Li, B. & Shin, J., 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 6688-6697 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    27 Citations (Scopus)
  • Scalable Network-Coded PBFT Consensus Algorithm

    Choi, B., Sohn, J. Y., Han, D. J. & Moon, J., 2019 Jul, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 857-861 5 p. 8849573. (IEEE International Symposium on Information Theory - Proceedings; vol. 2019-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    25 Citations (Scopus)
  • 2018

    A Class of MSR Codes for Clustered Distributed Storage

    Sohn, J. Y., Choi, B. & Moon, J., 2018 Aug 15, 2018 IEEE International Symposium on Information Theory, ISIT 2018. Institute of Electrical and Electronics Engineers Inc., p. 2366-2370 5 p. 8437458. (IEEE International Symposium on Information Theory - Proceedings; vol. 2018-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    8 Citations (Scopus)
  • Ballistic coefficient estimation with Gaussian process particle filter

    Moon, I. C., Tak, J., Kim, S. H. & Song, K., 2018 Dec 10, International Conference on Control, Automation and Systems. IEEE Computer Society, p. 776-780 5 p. 8571994. (International Conference on Control, Automation and Systems; vol. 2018-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Hierarchical Coding for Distributed Computing

    Park, H., Lee, K., Sohn, J. Y., Suh, C. & Moon, J., 2018 Aug 15, 2018 IEEE International Symposium on Information Theory, ISIT 2018. Institute of Electrical and Electronics Engineers Inc., p. 1630-1634 5 p. 8437669. (IEEE International Symposium on Information Theory - Proceedings; vol. 2018-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    57 Citations (Scopus)
  • Hierarchical Novelty Detection for Visual Object Recognition

    Lee, K., Lee, K., Min, K., Zhang, Y., Shin, J. & Lee, H., 2018 Dec 14, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 1034-1042 9 p. 8578212. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    61 Citations (Scopus)
  • Neural ideal point estimation network

    Song, K., Lee, W. & Moon, I. C., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 2411-2418 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)
  • 2017

    Augmented variational autoencoders for collaborative filtering with auxiliary information

    Lee, W., Song, K. & Moon, I. C., 2017 Nov 6, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1139-1148 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    57 Citations (Scopus)
  • Capacity of clustered distributed storage

    Sohn, J. Y., Choi, B., Yoon, S. W. & Moon, J., 2017 Jul 28, 2017 IEEE International Conference on Communications, ICC 2017. Debbah, M., Gesbert, D. & Mellouk, A. (eds.). Institute of Electrical and Electronics Engineers Inc., 7997392. (IEEE International Conference on Communications).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    9 Citations (Scopus)
  • Secure clustered distributed storage against eavesdroppers

    Choi, B., Sohn, J. Y., Yoon, S. W. & Moon, J., 2017 Jul 28, 2017 IEEE International Conference on Communications, ICC 2017. Debbah, M., Gesbert, D. & Mellouk, A. (eds.). Institute of Electrical and Electronics Engineers Inc., 7997110. (IEEE International Conference on Communications).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    1 Citation (Scopus)