Noseong Park

Research output

Research output per year 2005 2018 2019 2021 2022 2023

• 50 Conference contribution
• 13 Article
• 1 Conference article
• 1 Editorial

Research output per year

Research output per year

Search results

• 2022

  An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models

  Hyeong, J., Kim, J., Park, N. & Jajodia, S., 2022 Oct 17, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 4064-4068 5 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Attack 100%
  • Data Synthesis 66%
  • Synthesis Model 66%
  • Algorithms 33%
  • Simulation Mode 33%

• Enabling hard constraints in differentiable neural network and accelerator co-exploration

  Hong, D., Choi, K., Lee, H. Y., Yu, J., Park, N., Kim, Y. & Lee, J., 2022 Jul 10, Proceedings of the 59th ACM/IEEE Design Automation Conference, DAC 2022. Institute of Electrical and Electronics Engineers Inc., p. 589-594 6 p. (Proceedings - Design Automation Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Hard Constraint 100%
  • Computational Cost 25%
  • Design Objective 25%
  • Hardware Accelerator 25%
  • Quality Solution 25%

• EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting

  Jhin, S. Y., Lee, J., Jo, M., Kook, S., Jeon, J., Hyeong, J., Kim, J. & Park, N., 2022 Apr 25, WWW 2022 - Proceedings of the ACM Web Conference 2022. Association for Computing Machinery, Inc, p. 3102-3112 11 p. (WWW 2022 - Proceedings of the ACM Web Conference 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Interpolation 100%
  • Machine Learning 33%
  • Algorithms 16%
  • Classification 16%
  • Real World 16%

• It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher

  Choi, K., Lee, H. Y., Hong, D., Yu, J., Park, N., Kim, Y. & Lee, J., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 8301-8311 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Quantization 100%
  • Networks 66%
  • Training Data 33%
  • Generalization 16%
  • Real World 16%

• Linear, or non-linear, that is the question!

  Kong, T., Kim, T., Jeon, J., Choi, J., Lee, Y. C., Park, N. & Kim, S. W., 2022 Feb 11, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 517-525 9 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Nonlinearity 100%
  • User 66%
  • Embedding 66%
  • Hybrid 50%
  • Simulation Mode 33%
  5 Citations (Scopus)

• Phishing URL Detection: A Network-based Approach Robust to Evasion

  Kim, T., Park, N., Hong, J. & Kim, S. W., 2022 Nov 7, CCS 2022 - Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, p. 1769-1782 14 p. (Proceedings of the ACM Conference on Computer and Communications Security).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Phishing 100%
  • Networks 44%
  • Attackers 22%
  • Machine Learning 11%
  • Detection Performance 11%

• Prediction-based One-shot Dynamic Parking Pricing

  Hong, S., Shin, H., Choi, J. & Park, N., 2022 Oct 17, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 748-757 10 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Prediction Model 100%
  • Optimization 50%
  • Design 50%
  • Collected Data 25%
  • Optimal Solution 25%
  1 Citation (Scopus)

• SOS: Score-based Oversampling for Tabular Data

  Kim, J., Lee, C., Shin, Y., Park, S., Kim, M., Park, N. & Cho, J., 2022 Aug 14, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 762-772 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Generative Model 100%
  • Classes 50%
  • Generative Adversarial Networks 25%
  • Design 25%
  • Networks 25%
• 2021

  ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations

  Jhin, S. Y., Jo, M., Kong, T., Jeon, J. & Park, N., 2021 Aug 14, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 736-745 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Ordinary Differential Equation 100%
  • Continuous Time 10%
  • Learning Task 10%
  • Number 10%
  • Characteristics 10%
  2 Citations (Scopus)

• A sweet rabbit hole by DARCY: Using honeypots to detect universal trigger's adversarial attacks

  Le, T., Park, N. & Lee, D., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3831-3844 14 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Attack 100%
  • Honeypots 75%
  • Neural Network Model 50%
  • Prediction Accuracy 50%
  • Cybersecurity 25%
  8 Citations (Scopus)

• Attention-based stress detection exploiting non-contact monitoring of movement patterns with IR-UWB radar

  Shin, J., Moon, J., Kim, B., Eom, J., Park, N. & Lee, K., 2021 Mar 22, Proceedings of the 36th Annual ACM Symposium on Applied Computing, SAC 2021. Association for Computing Machinery, p. 637-640 4 p. (Proceedings of the ACM Symposium on Applied Computing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Ultra-Wideband 100%
  • User 66%
  • Detection Technique 66%
  • Sensor Device 50%
  • Stress State 33%

• Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting

  Jhin, S. Y., Shin, H., Hong, S., Jo, M., Park, S., Park, N., Lee, S., Maeng, H. & Jeon, S., 2021, Proceedings - 21st IEEE International Conference on Data Mining, ICDM 2021. Bailey, J., Miettinen, P., Koh, Y. S., Tao, D. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 250-259 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2021-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Classification 100%
  • Time Series Data 100%
  • Machine Learning 50%
  • Real World 50%
  • Visualization 50%
  3 Citations (Scopus)

• Climate Modeling with Neural Diffusion Equations

  Hwang, J., Choi, J., Choi, H., Lee, K., Lee, D. & Park, N., 2021, Proceedings - 21st IEEE International Conference on Data Mining, ICDM 2021. Bailey, J., Miettinen, P., Koh, Y. S., Tao, D. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 230-239 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2021-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Diffusion Equation 100%
  • Simulation Mode 50%
  • Governing Equation 33%
  • Deep Learning 33%
  • Modeling 33%
  2 Citations (Scopus)

• DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation

  Kim, J., Lee, K., Lee, D., Jhin, S. Y. & Park, N., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 8146-8154 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 9B).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Procedure 100%
  • Aqueous Solution 33%
  • Time 33%
  • Error 11%
  8 Citations (Scopus)

• Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis

  Lee, J., Hyeong, J., Jeon, J., Park, N. & Cho, J., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 4263-4273 11 p. (Advances in Neural Information Processing Systems; vol. 6).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Records 100%
  • Synthesis 60%
  • Data Synthesis 40%
  • Attack 40%
  • Experimental Result 20%
  3 Citations (Scopus)

• Large-Scale Data-Driven Airline Market Influence Maximization

  Li, D., Liu, J., Jeon, J., Hong, S., Le, T., Lee, D. & Park, N., 2021 Aug 14, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 914-924 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Optimization 100%
  • Prediction Model 100%
  • Optimization Problem 100%
  • Conventional Method 50%
  • Large Scale Data 50%
  1 Citation (Scopus)

• Large-scale flight frequency optimization with global convergence in the US domestic air passenger markets

  Jeon, J., Lee, D., Hwang, S., Kang, S., Park, N., Li, D., Lee, K. & Liu, J., 2021, SIAM International Conference on Data Mining, SDM 2021. Siam Society, p. 711-719 9 p. (SIAM International Conference on Data Mining, SDM 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Frequency Optimization 100%
  • Prediction Model 66%
  • Scalability 66%
  • Global Convergence 66%
  • Unified Framework 33%
  1 Citation (Scopus)

• LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising

  Jeon, J., Kang, S., Jo, M., Cho, S., Park, N., Kim, S. & Song, C., 2021 Oct 26, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 3857-3866 10 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Simulation Mode 100%
  • Targeted Advertising 33%
  • Leading Company 33%
  • Prediction Accuracy 33%
  • Demographic Information 33%
  5 Citations (Scopus)

• LT-OCF: Learnable-Time ODE-based Collaborative Filtering

  Choi, J., Jeon, J. & Park, N., 2021 Oct 26, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 251-260 10 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Collaborative Filtering 100%
  • Graph Convolutional Network 80%
  • Accuracy 40%
  • Research Worker 20%
  • Matrix Factorization 20%
  6 Citations (Scopus)

• OCT-GAN: Neural ODE-based conditional tabular GANs

  Kim, J., Jeon, J., Lee, J., Hyeong, J. & Park, N., 2021 Apr 19, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, Inc, p. 1506-1515 10 p. (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Vectors 100%
  • Classification 33%
  • Data Synthesis 33%
  • Utilities 33%
  • Synthesis Technique 16%
  6 Citations (Scopus)

• Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples

  Choi, K., Hong, D., Park, N., Kim, Y. & Lee, J., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 14835-14847 13 p. (Advances in Neural Information Processing Systems; vol. 18).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Quantization 100%
  • Simulation Mode 80%
  • Embedding 40%
  • Experimental Result 20%
  • Real World 20%
  5 Citations (Scopus)

• Scalable graph synthesis with ADJ and 1 - ADJ

  Jeon, J., Liu, J., Kim, J., Lee, J., Park, N., Lee, J. J., Uzuner, O. & Jajodia, S., 2021, SIAM International Conference on Data Mining, SDM 2021. Siam Society, p. 307-315 9 p. (SIAM International Conference on Data Mining, SDM 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Random Walk 100%
  • Synthesis 75%
  • Scalability 50%
  • Baseline Method 25%
  • Research Problem 25%
• 2020

  MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks

  Ko, J., Lee, K., Shin, K. & Park, N., 2020 Dec 7, Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020. Atzmuller, M., Coscia, M. & Missaoui, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 204-211 8 p. 9381460. (Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Monte Carlo Simulation 100%
  • Algorithms 100%
  • Social Capital 100%
  • Machine Learning 50%
  • Real World 50%
  3 Citations (Scopus)
• 2019

  Faketables: Using GANs to generate functional dependency preserving tables with bounded real data

  Chen, H., Jajodia, S., Liu, J., Park, N., Sokolov, V. & Subrahmanian, V. S., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 2074-2080 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Statistics 100%
  • Functional Dependency 66%
  • Classification 33%
  • Machine Learning 33%
  • Simulation Mode 33%
  12 Citations (Scopus)

• Phishing URL Detection with Oversampling based on Text Generative Adversarial Networks

  Anand, A., Gorde, K., Antony Moniz, J. R., Park, N., Chakraborty, T. & Chu, B. T., 2019 Jan 22, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1168-1177 10 p. 8622547. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Minority Class 100%
  • Majority Class 66%
  • Generative Adversarial Networks 66%
  • Phishing 66%
  • Detection 66%
  28 Citations (Scopus)

• Predicting Influence Probabilities using Graph Convolutional Networks

  Liu, J., Chen, Y., Li, D., Park, N., Lee, K. & Lee, D., 2019 Dec, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 860-869 10 p. 9006450. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Probability 100%
  • Real World 50%
  • Graph Convolutional Network 50%
  • User 50%
  • Simulation Mode 25%

• Student network analysis: A novel way to predict delayed graduation in higher education

  Nur, N., Park, N., Dorodchi, M., Dou, W., Mahzoon, M. J., Niu, X. & Maher, M. L., 2019, Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings. Isotani, S., Millán, E., Ogan, A., McLaren, B., Hastings, P. & Luckin, R. (eds.). Springer Verlag, p. 370-382 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11625 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Networks 100%
  • Prediction Model 25%
  • Undergraduate Student 25%
  • Higher Education 25%
  • Design 25%
  5 Citations (Scopus)

• Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients

  Nur, N., Park, N., Lee, K., Kang, H. & Kwon, S., 2019 Dec, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1181-1186 6 p. 9005966. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Embedding 100%
  • Vectors 33%
  • Representation 33%
  • Bipartite Graph 16%
  • Embedding Method 16%

• Using twitter to predict when vulnerabilities will be exploited

  Chen, H., Liu, R., Park, N. & Subrahmanian, V. S., 2019 Jul 25, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3143-3152 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Vulnerabilities 100%
  • Algorithms 11%
  • Classification 11%
  • Real World 11%
  • Simulation Mode 11%
  19 Citations (Scopus)

• VASE: A twitter-based vulnerability analysis and score engine

  Chen, H., Liu, J., Liu, R., Park, N. & Subrahmanian, V. S., 2019 Nov, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 976-981 6 p. 8970796. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2019-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Vulnerabilities 100%
  • Vulnerability Assessment 50%
  • Scoring System 41%
  • Standards 33%
  • Real World 8%
  6 Citations (Scopus)

• VEST: A system for vulnerability exploit scoring & timing

  Chen, H., Liu, J., Liu, R., Park, N. & Subrahmanian, V. S., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 6503-6505 3 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Vulnerabilities 100%
  • Visualization 14%
  • Cyber 14%
  • Security Officer 14%
  • Attack 14%
  9 Citations (Scopus)
• 2018

  A computational approach to finding contradictions in user opinionated text

  Li, C., Niu, X., Al-Doulat, A. & Park, N., 2018 Oct 24, Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018. Tagarelli, A., Reddy, C. & Brandes, U. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 351-356 6 p. 8508308. (Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • User 100%
  • Opinionated Text 66%
  • Simulation Mode 33%
  • Computational Approach 33%
  • Social Media 33%
  3 Citations (Scopus)

• Megan: Mixture of experts of generative adversarial networks for multimodal image generation

  Park, D. K., Yoo, S., Bahng, H., Choo, J. & Park, N., 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 878-884 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2018-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Generative Adversarial Networks 100%
  • Generator Network 100%
  • Simulation Mode 33%
  • Ensemble Approach 33%
  • Image Synthesis 33%
  6 Citations (Scopus)

• Metadata vs. Ground-truth: A Myth behind the Evolution of Community Detection Methods

  Chakraborty, T., Cui, Z. & Park, N., 2018 Apr 23, The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018. Association for Computing Machinery, Inc, p. 45-46 2 p. (The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Detection Method 100%
  • Metadata 100%
  • Community Detection 100%
  • Ground Truth 71%
  • Show 42%
  6 Citations (Scopus)

• MMGAN: Manifold-Matching Generative Adversarial Networks

  Park, N., Anand, A., Moniz, J. R. A., Lee, K., Choo, J., Park, D. K., Chakraborty, T., Park, H. & Kim, Y., 2018 Nov 26, 2018 24th International Conference on Pattern Recognition, ICPR 2018. Institute of Electrical and Electronics Engineers Inc., p. 1343-1348 6 p. 8545881. (Proceedings - International Conference on Pattern Recognition; vol. 2018-August).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Simulation Mode 100%
  • Correlation Matrix 33%
  • Generative Adversarial Networks 33%
  • Vectors 33%
  • Representation 33%
  2 Citations (Scopus)

• On Integrating Knowledge Graph Embedding into SPARQL Query Processing

  Kang, H., Hong, S., Lee, K., Park, N. & Kwon, S., 2018 Sept 5, Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services. Institute of Electrical and Electronics Engineers Inc., p. 371-374 4 p. 8456381. (Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Embedding 100%
  • Nearest Neighbour 66%
  • Neighbour Search 66%
  • Query Processing 33%
  • Search Algorithm 33%
  1 Citation (Scopus)

• PAGE: Answering graph pattern queries via knowledge graph embedding

  Hong, S., Park, N., Chakraborty, T., Kang, H. & Kwon, S., 2018, Big Data – BigData 2018 - 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Proceedings. Khan, L., Zhang, L-J., Lee, K., Chin, F. Y. & Chen, C. L. (eds.). Springer Verlag, p. 87-99 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10968 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Subgraphs 100%
  • Embedding 100%
  • Incomplete Information 50%
  • Embedding Method 50%
  • Evaluation 50%
  7 Citations (Scopus)
• 2017

  SENA: Preserving social structure for network embedding

  Hong, S., Chakraborty, T., Ahn, S., Husari, G. & Park, N., 2017 Jul 4, HT 2017 - Proceedings of the 28th ACM Conference on Hypertext and Social Media. Association for Computing Machinery, Inc, p. 235-244 10 p. (HT 2017 - Proceedings of the 28th ACM Conference on Hypertext and Social Media).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Networks 100%
  • Embedding Method 25%
  • Embedding 25%
  • Real World 8%
  • Feature Space 8%
  5 Citations (Scopus)

• We used neural networks to detect clickbaits: You won’t believe what happened next!

  Anand, A., Chakraborty, T. & Park, N., 2017, Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017, Proceedings. Hauff, C., Jose, J. M., Albakour, D., Altingovde, I. S., Tait, J., Song, D. & Watt, S. (eds.). Springer Verlag, p. 541-547 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10193 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Simulation Mode 100%
  • User 100%
  • Experimental Result 50%
  • Domain Knowledge 50%
  • Convolutional Neural Network 50%
  41 Citations (Scopus)
• 2016

  Ensemble-based algorithms to detect disjoint and overlapping communities in networks

  Chakraborty, T., Park, N. & Subrahmanian, V. S., 2016 Nov 21, Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Kumar, R., Caverlee, J. & Tong, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 73-80 8 p. 7752216. (Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Algorithms 100%
  • Community Detection 100%
  • Community Structure 100%
  • Networks 100%
  • Ensemble Method 66%
  8 Citations (Scopus)

• Ensemble models for data-driven prediction of malware infections

  Kang, C., Park, N., Prakash, B. A., Serra, E. & Subrahmanian, V. S., 2016 Feb 8, WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 583-592 10 p. (WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Malware 100%
  • Malware Infection 66%
  • Design 33%
  • Algorithms 16%
  • Diffusion Model 16%
  21 Citations (Scopus)

• MAP: Frequency-based maximization of airline profits based on an ensemble forecasting approach

  An, B., Chen, H., Park, N. & Subrahmanian, V. S., 2016 Aug 13, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 421-430 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Airline 100%
  • Profits 36%
  • Profit 33%
  • Forecasting 20%
  • Market Share 16%
  13 Citations (Scopus)
• 2013

  Personalized best answer computation in graph databases

  Ovelgönne, M., Park, N., Subrahmanian, V. S., Bowman, E. K. & Ogaard, K. A., 2013, The Semantic Web, ISWC 2013 - 12th International Semantic Web Conference, Proceedings. PART 1 ed. p. 478-493 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8218 LNCS, no. PART 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Algorithms 100%
  • User 66%
  • Computation 33%
  • Real World 33%
  • Social Network Data 33%
  3 Citations (Scopus)

• SMAC: Subgraph matching and centrality in huge social networks

  Park, N., Ovelgönne, M. & Subrahmanian, V. S., 2013, Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013. p. 134-141 8 p. 6693324. (Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Algorithms 100%
  • Subgraphs 100%
  • User 100%
  • Social Capital 66%
  • Real World 33%
  1 Citation (Scopus)
• 2011

  A multi-access asynchronous low-power MAC based on preamble sampling for WSNs

  Park, N., Kim, B. W., Doh, Y. & Jun, J., 2011, 16th IEEE Symposium on Computers and Communications, ISCC'11. p. 445-450 6 p. 5983877. (Proceedings - IEEE Symposium on Computers and Communications).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Collisions 100%
  • Performance Improvement 50%
  • Wireless Sensor Network 50%
  • Transmission Scheme 50%
  • Essential Feature 50%
  3 Citations (Scopus)
• 2007

  Distributed low power scheduling in wireless sensor networks

  Taehong, K., Noseong, P., Poh Kit, C., Jongwoo, S. & Daeyoung, K., 2007, 2007 2nd International Symposium on Wireless Pervasive Computing. p. 268-273 6 p. 4147072. (2007 2nd International Symposium on Wireless Pervasive Computing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sensor Networks 100%
  • Wireless Sensor Network 66%
  • Algorithms 33%
  • Low Power Consumption 33%
  • Network Application 33%
  2 Citations (Scopus)

• Shortcut tree routing in ZigBee networks

  Kim, T., Kim, D., Park, N., Yoo, S. E. & López, T. S., 2007, 2007 2nd International Symposium on Wireless Pervasive Computing. p. 42-47 6 p. 4147030. (2007 2nd International Symposium on Wireless Pervasive Computing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Wireless Sensor Network 100%
  • Low Power Consumption 100%
  • Ad Hoc Network 100%
  • Routing Protocol 100%
  • Industrial Automation 100%
  119 Citations (Scopus)
• 2005

  An optimal and lightweight routing for minimum energy consumption in wireless sensor networks

  Park, N., Kim, D., Doh, Y., Lee, S. & Kim, J. T., 2005, Proceedings - 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications. p. 387-393 7 p. 1541113. (Proceedings - 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Minimum Energy 100%
  • Energy Consumption 50%
  • Properties 33%
  • Wireless Sensor Network 33%
  • Optimality 16%
  7 Citations (Scopus)

• Power-aware position vector routing for wireless sensor networks

  Lee, S., Kim, D., Ahn, S. & Park, N., 2005, Embedded and Ubiquitous Computing - EUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES, Proceedings. Enokido, T., Yan, L., Xiao, B., Kim, D., Dai, Y. & Yang, L. T. (eds.). Springer Verlag, p. 1148-1156 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3823 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Routing Protocol 100%
  • Wireless Sensor Network 66%
  • Position Vector 66%
  • Energy Consumption 33%
  • Energy Efficient 33%
  4 Citations (Scopus)

• Sub-network mobility analysis in wireless sensor networks

  Park, N., Kim, D., Park, J. & Doh, Y., 2005, Proceedings - 14th International Conference on Computer Communications and Networks, ICCCN 2005. p. 483-488 6 p. 1523921. (Proceedings - International Conference on Computer Communications and Networks, ICCCN; vol. 2005).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Subnetwork 100%
  • Wireless Sensor Network 33%
  • Algorithms 16%
  • Packet Transmission 16%
  • Mathematical Modelling 16%