College of Computing

Research output

Research output per year 1981 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2024

• 146780 Citations
• 169 h-index
• 1861 Conference contribution
• 1507 Article
• 195 Paper
• 165 Conference article
• 126 More
  • 52 Chapter
  • 47 Editorial
  • 12 Review article
  • 9 Comment/debate
  • 4 Letter
  • 1 Book
  • 1 Foreword/postscript

Research output per year

Research output per year

Search results

• 2024

  BEV-MAE: Bird’s Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios

  Lin, Z., Wang, Y., Qi, S., Dong, N. & Yang, M. H., 2024 Mar 25, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 4, p. 3531-3539 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Perspective View 100%
  3 Citations (Scopus)

• Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration

  Choi, W., Park, J., Han, D. J., Park, Y. & Moon, J., 2024 Mar 25, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 10, p. 11588-11596 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Content Information 100%
  • Artificial Intelligence 100%
  • Validation Set 50%
  • Represent Data 50%
  • Experimental Result 50%

• Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space

  Koo, R., Kim, Y., Kang, D. & Kim, J., 2024 Mar 25, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 21, p. 23548-23549 2 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Detection Method 100%
  • Feature Space 50%
  • Discriminative Feature 50%
  • Sample Distribution 50%
  • Experimental Result 50%
• 2023

  AIMS: All-Inclusive Multi-Level Segmentation for Anything

  Qi, L., Kuen, J., Guo, W., Gu, J., Lin, Z., Du, B., Xu, Y. & Yang, M. H., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Annotation 100%
  • Image Segmentation 100%
  • Training Model 100%
  • Segmentation Model 100%
  • Semantic Relationship 100%
  6 Citations (Scopus)

• Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions

  Lowmanstone, L., Wan, R., Owan, R., Kim, J. & Kang, D., 2023, In: CEUR Workshop Proceedings. 3494

  Research output: Contribution to journal › Conference article › peer-review

  • Annotation 100%
  • Model Prediction 100%
  • Imputation Method 100%
  • Dynamics 100%
  • Crowdsourcing 100%

• Controllability-Aware Unsupervised Skill Discovery

  Park, S., Lee, K., Lee, Y. & Abbeel, P., 2023, In: Proceedings of Machine Learning Research. 202, p. 27225-27245 21 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Distance Function 100%
  • State Transition 50%
  6 Citations (Scopus)

• Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation

  Isik, B., Chen, W. N., Ozgur, A., Weissman, T. & No, A., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Simplex 100%
  • Proposed Mechanism 50%
  • Random Variable 50%
  • Optimal Algorithm 50%
  • Differential Privacy 50%
  6 Citations (Scopus)

• GREAD: Graph Neural Reaction-Diffusion Networks

  Choi, J., Hong, S., Park, N. & Cho, S. B., 2023, In: Proceedings of Machine Learning Research. 202, p. 5722-5747 26 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Reaction-Diffusion System 100%
  • Neural Network 100%
  • Diffusion Equation 100%
  • Layer Processing 25%
  • Synthetic Data 20%
  15 Citations (Scopus)

• Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis

  Shin, Y., Lee, C., Lee, G. & An, H. C., 2023, In: Proceedings of Machine Learning Research. 202, p. 31539-31561 23 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Competitive Analysis 100%
  • Randomized Algorithm 50%
  1 Citation (Scopus)

• Language-Conditioned Path Planning

  Xie, A., Lee, Y., Abbeel, P. & James, S., 2023, In: Proceedings of Machine Learning Research. 229

  Research output: Contribution to journal › Conference article › peer-review

  • path-planning 100%
  • path planning problem 14%
  2 Citations (Scopus)

• Module-wise Adaptive Distillation for Multimodality Foundation Models

  Liang, C., Yu, J., Yang, M. H., Brown, M., Cui, Y., Zhao, T., Gong, B. & Zhou, T., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Effective Approach 100%
  • Architecture Component 100%
  • Nonstationarity 100%
  2 Citations (Scopus)

• Muse: Text-To-Image Generation via Masked Generative Transformers

  Chang, H., Zhang, H., Barber, J., Maschinot, A. J., Lezama, J., Jiang, L., Yang, M. H., Murphy, K., Freeman, W. T., Rubinstein, M., Li, Y. & Krishnan, D., 2023, In: Proceedings of Machine Learning Research. 202, p. 4055-4075 21 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Autoregressive Model 100%
  • Parameter Model 66%
  • Cardinality 50%
  • Language Understanding 33%
  9 Citations (Scopus)

• NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks

  Ham, S., Park, J., Han, D. J. & Moon, J., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Knowledge Distillation 100%
  • Neural Network 100%
  • Adversarial Machine Learning 100%
  • Adversarial Example 33%
  • Experimental Result 16%
  2 Citations (Scopus)

• On Monotonic Aggregation for Open-domain QA

  Han, S. E., Jeong, Y., Hwang, S. W. & Lee, K., 2023, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2023-August, p. 3432-3436 5 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Source Individual 100%

• Optimizing Data Pipelines for Machine Learning in Feature Stores

  Liu, R., Park, K., Psallidas, F., Zhu, X., Mo, J., Sen, R., Interlandi, M., Karanasos, K., Tian, Y. & Camacho-Rodríguez, J., 2023, In: Proceedings of the VLDB Endowment. 16, 13, p. 4230-4239 10 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Machine Learning 100%
  • Artificial Intelligence 33%
  • Use Case 33%
  • Database Management System 33%
  • Data Scientist 33%
  1 Citation (Scopus)

• Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning

  Kim, J., Shin, J. & Kang, D., 2023, In: Proceedings of Machine Learning Research. 202, p. 16807-16828 22 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Pairwise Comparison 100%

• Relation-based Counterfactual Data Augmentation and Contrastive Learning for Robustifying Natural Language Inference Models

  Yang, H., Hwang, S. W. & So, J., 2023, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2023-August, p. 2938-2942 5 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Inference Model 100%
  • Contrastive Learning 100%
  • Natural-Language Understanding 100%
  • Data Augmentation 100%
  • Evaluation Result 50%

• Skill-based Model-based Reinforcement Learning

  Shi, L. X., Lim, J. J. & Lee, Y., 2023, In: Proceedings of Machine Learning Research. 205, p. 2262-2272 11 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Intermediate State 100%
  • Temporal Horizon 100%
  3 Citations (Scopus)

• SMCL: Saliency Masked Contrastive Learning for Long-Tailed Visual Recognition

  Park, S., Hwang, S. W. & So, J., 2023, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Contrastive Learning 100%
  • Feature Space 25%
  • Imbalanced Data 25%
  • Saliency Detection 25%
  • Generalizability 25%
  1 Citation (Scopus)

• StableFDG: Style and Attention Based Learning for Federated Domain Generalization

  Park, J., Wang, S., Han, D. J., Brinton, C. G., Kim, J. & Moon, J., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Federated Learning 100%
  • Common Characteristic 25%
  • Invariant Domain 25%
  • Experimental Result 25%
  • Data Distribution 25%

• Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization

  Park, J., Han, D. J., Kim, S. & Moon, J., 2023, In: Proceedings of Machine Learning Research. 202, p. 27114-27131 18 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Experimental Result 100%
  • Effective Approach 100%
  2 Citations (Scopus)

• Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features

  Lin, C. H., Tseng, H. Y., Lee, H. Y., Singh, M. K. & Yang, M. H., 2023, In: Proceedings of Machine Learning Research. 202, p. 21204-21222 19 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Position Information 100%
  • Positional Information 75%
  • Performance Model 25%
  • Metric Measure 25%

• Video Prediction Models as Rewards for Reinforcement Learning

  Escontrela, A., Adeniji, A., Yan, W., Jain, A., Peng, X. B., Goldberg, K., Lee, Y., Hafner, D. & Abbeel, P., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Prediction Model 100%
  • Reinforcement Learning 100%
  • Source Codes 25%
  • Learning Agent 25%
  • Starting Point 25%
  8 Citations (Scopus)

• Video Timeline Modeling For News Story Understanding

  Liu, M., Zhang, M., Liu, J., Dai, H., Yang, M. H., Ji, S., Feng, Z. & Gong, B., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Story Understanding 100%
• 2022

  An Information-Theoretic Justification for Model Pruning

  Isik, B., Weissman, T. & No, A., 2022, In: Proceedings of Machine Learning Research. 151, p. 3821-3846 26 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Compression Network 100%
  • Bridges 33%
  • Compression Ratio 33%
  • rate-distortion theory 20%
  • Theoretic Formulation 20%
  18 Citations (Scopus)

• Boosting Code Summarization by Embedding Code Structures

  Son, J., Hahn, J., Seo, H. T. & Han, Y. S., 2022, In: Proceedings - International Conference on Computational Linguistics, COLING. 29, 1, p. 5966-5977 12 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Dependency Graph 100%
  6 Citations (Scopus)

• Generalizable Implicit Hate Speech Detection using Contrastive Learning

  Kim, Y., Park, S. & Han, Y. S., 2022, In: Proceedings - International Conference on Computational Linguistics, COLING. 29, 1, p. 6667-6679 13 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Contrastive Learning 100%
  • Speech Detection 100%
  • Bidirectional Encoder Representations From Transformers 66%
  • Representation Space 33%
  • Experimental Result 33%
  25 Citations (Scopus)

• IoT Edge Orchestration for Distributed DNN Service with Containerized Resource Allocation

  Park, H. B., Kim, T. Y., Jin, Y. H. & Lee, S. K., 2022, In: Proceedings - IEEE Consumer Communications and Networking Conference, CCNC. p. 483-484 2 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Internet of Things 100%
  • Service 80%
  • Service Request 20%
  • Internet of Things Device 20%
  • Deep Neural Network 20%
  1 Citation (Scopus)

• Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization

  Kim, S., Joo, S. J., Chae, H., Kim, C., Hwang, S. W. & Yeo, J., 2022, In: Proceedings - International Conference on Computational Linguistics, COLING. 29, 1, p. 6285-6300 16 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Common Sense Knowledge 100%
  • Mind the Gap 100%
  • Selection Method 33%
  • External Knowledge 33%
  • Multitask Learning 33%
  12 Citations (Scopus)

• Neural Tangent Kernel Analysis of Deep Narrow Neural Networks

  Lee, J., Choi, J. Y., Ryu, E. K. & No, A., 2022, In: Proceedings of Machine Learning Research. 162, p. 12282-12351 70 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Experiment 100%
  • Learning 100%
  • Dynamics 100%
  • Perceptron 100%
  • Training 100%
  6 Citations (Scopus)

• Query Processing on Tensor Computation Runtimes

  He, D., Nakandala, S. C., Banda, D., Sen, R., Saur, K., Park, K., Curino, C., Camacho-Rodríguez, J., Karanasos, K. & Interlandi, M., 2022, In: Proceedings of the VLDB Endowment. 15, 11, p. 2811-2825 15 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Query Processor 100%
  • Computation 66%
  • Artificial Intelligence 50%
  • Hardware 50%
  • Structured Query Language 33%
  18 Citations (Scopus)

• Reflections on Visualization in Motion forFitnessTrackers

  Islam, A., Yao, L., Bezerianos, A., Blascheck, T., He, T., Lee, B., Vuillemot, R. & Isenberg, P., 2022, In: CEUR Workshop Proceedings. 3267

  Research output: Contribution to journal › Conference article › peer-review

  • Relative Motion 100%
  1 Citation (Scopus)

• Time Is MattEr: Temporal Self-supervision for Video Transformers

  Yun, S., Kim, J., Han, D., Song, H., Ha, J. W. & Shin, J., 2022, In: Proceedings of Machine Learning Research. 162, p. 25804-25816 13 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Architectural Design 100%
  6 Citations (Scopus)

• VIP Hashing-Adapting to Skew in Popularity of Data on the Fly

  Kakaraparthy, A., Patel, J. M., Kroth, B. P. & Park, K., 2022, In: Proceedings of the VLDB Endowment. 15, 10, p. 1978-1990 13 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Hashing 100%
  • Hash Table 100%
  • Benchmarking 20%
  • Throughput 20%
  • Execution Time 20%
  2 Citations (Scopus)
• 2021

  Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization

  Lee, Y., Lim, J. J., Anandkumar, A. & Zhu, Y., 2021, In: Proceedings of Machine Learning Research. 164, p. 406-416 11 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Chaining 100%
  • State Distribution 100%
  • Learning Algorithm 25%
  • Behavior 25%
  • Training 25%
  9 Citations (Scopus)

• Bridging Code-Text Representation Gap using Explanation

  Han, H., Lee, Y., Kim, M. & Hwang, S. W., 2021, In: Proceedings of Machine Learning Research. 157, p. 1033-1048 16 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Text Representation 100%
  • Performance Gain 33%
  • Intermediate Representation 33%
  • Representation Learning 33%

• Continuous face aging generative adversarial networks

  Jeon, S., Lee, P., Hong, K. & Byun, H., 2021, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2021-June, p. 1995-1999 5 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Simulation Mode 100%
  • Generative Adversarial Networks 100%
  • Quantitative Evaluation 50%
  • Cosine Similarity 50%
  • Functions 50%
  8 Citations (Scopus)

• Demonstration-Guided Reinforcement Learning with Learned Skills

  Pertsch, K., Lee, Y., Wu, Y. & Lim, J. J., 2021, In: Proceedings of Machine Learning Research. 164, p. 729-739 11 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Primitive Action 100%
  • Learning Approach 100%
  • Independent Learning 100%
  24 Citations (Scopus)

• Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation

  Arthur Liu, I. C., Uppal, S., Sukhatme, G. S., Lim, J. J., Englert, P. & Lee, Y., 2021, In: Proceedings of Machine Learning Research. 164, p. 641-650 10 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Control 100%
  • State Information 33%
  • Real World 33%
  • Visual Observation 33%
  5 Citations (Scopus)

• Integrating deep learning with first-order logic programmed constraints for zero-day phishing attack detection

  Bu, S. J. & Cho, S. B., 2021, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2021-June, p. 2685-2689 5 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Deep Learning 100%
  • Phishing Attack 60%
  • Real World 40%
  • Classification (Machine Learning) 20%
  • Domain Knowledge 20%
  25 Citations (Scopus)

• Mitigating inter-subject brain signal variability for EEG-based driver fatigue state classification

  Hwang, S., Park, S., Kim, D., Lee, J. & Byun, H., 2021, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2021-June, p. 990-994 5 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Classification Models 100%
  • Simulation Mode 66%
  • Experimental Result 33%
  • Classification 33%
  • Classification Task 33%
  22 Citations (Scopus)

• Semi-Supervised Learning with Meta-Gradient

  Zhang, X. Y., Xiao, T., Jia, H., Cheng, M. M. & Yang, M. H., 2021, In: Proceedings of Machine Learning Research. 130, p. 73-81 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Regularization Term 100%
  • Semisupervised Learning 100%
  • Optimization Problem 50%
  • Generalization Ability 50%
  • Mathematical Convergence 50%
  4 Citations (Scopus)

• Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle

  Zhang, X. Y., Zhao, K., Xiao, T., Cheng, M. M. & Yang, M. H., 2021, In: Proceedings of Machine Learning Research. 161, p. 1639-1649 11 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Convolutional Neural Network 100%
  • Network Architecture 100%
  • Group Communication 100%
  • Sparsity 100%
  • Experimental Result 100%
• 2020

  Accelerating Reinforcement Learning with Learned Skill Priors

  Pertsch, K., Lee, Y. & Lim, J. J., 2020, In: Proceedings of Machine Learning Research. 155, p. 188-204 17 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Latent Variable Model 100%
  • Equal Probability 100%
  58 Citations (Scopus)

• Collaborative distillation for ultra-resolution universal style transfer

  Wang, H., Li, Y., Wang, Y., Hu, H. & Yang, M. H., 2020, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 1857-1866 10 p., 9156947.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Simulation Mode 100%
  • Embedding 40%
  • Algorithms 20%
  • Optimization 20%
  • Resolution Image 20%
  83 Citations (Scopus)

• Composing Good Shots by Exploiting Mutual Relations

  Li, D., Zhang, J., Huang, K. & Yang, M. H., 2020, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 4212-4221 10 p., 9157704.

  Research output: Contribution to journal › Conference article › peer-review

  • Simulation Mode 100%
  • Candidate Region 40%
  • Region Feature 40%
  • Experimental Result 20%
  • Generalization Ability 20%
  22 Citations (Scopus)

• Conditional response augmentation for dialogue using knowledge distillation

  Jeong, M., Choi, S., Han, H., Kim, K. & Hwang, S. W., 2020, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2020-October, p. 3890-3894 5 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Simulation Mode 100%
  • Annotation 100%
  • Response Selection 100%
  • Selection Task 100%
  • Dialogue 100%
  2 Citations (Scopus)

• CycleISP: Real image restoration via improved data synthesis

  Zamir, S. W., Arora, A., Khan, S., Hayat, M., Khan, F. S., Yang, M. H. & Shao, L., 2020, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 2693-2702 10 p., 9156752.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Simulation Mode 100%
  • Benchmark 66%
  • Synthetic Data 66%
  • Additive White Gaussian Noise 66%
  • Denoising Problem 66%
  267 Citations (Scopus)

• Distribution aligning refinery of pseudo-label for imbalanced semi-supervised learning

  Kim, J., Hur, Y., Park, S., Yang, E., Hwang, S. J. & Shin, J., 2020, In: Advances in Neural Information Processing Systems. 2020-December

  Research output: Contribution to journal › Conference article › peer-review

  • Testing Criterion 100%
  129 Citations (Scopus)

• Election coding for distributed learning: Protecting SignSGD against byzantine attacks

  Sohn, J. Y., Han, D. J., Choi, B. & Moon, J., 2020, In: Advances in Neural Information Processing Systems. 2020-December

  Research output: Contribution to journal › Conference article › peer-review

  • Distance Education 100%
  • Attack 80%
  • Gradient Descent 60%
  • Learning Algorithm 40%
  • Learning Systems 40%
  20 Citations (Scopus)