2025
Conference Proceedings
Journals Workshop
2024
Conference Proceedings
[C46] Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? – A Theoretical and Empirical Study Neural Information Processing Systems (NeurIPS ) , December 2024[C45] Towards More Diverse Evaluation of Class Incremental Learning: Representation Learning Perspective The Third Conference on Lifelong Learning Agents (CoLLAs ) , July 2024[C44] Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation The Third Conference on Lifelong Learning Agents (CoLLAs ) , July 2024[C43] Listwise Reward Estimation for Offline Preference-based Reinforcement Learning International Conference on Machine Learning (ICML ) , July 2024[C42] Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning International Conference on Machine Learning (ICML ) , July 2024[C41] MAFA: Managing False Negatives for Vision-Language Pre-training IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR ) , June 2024[C40] Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline The 12th International Conference on Learning Representations (ICLR ) , May 2024[C39] Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers The 38th AAAI Conference on Artificial Intelligence (AAAI ) , February 2024[C38] NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations IEEE/CVF Winter Conference on Applications of Computer Vision (WACV ) , January 2024
Journals
Workshop
2023
[C37] SwiFT: Swin 4D fMRI Transformer Neural Information Processing Systems (NeurIPS ) , December 2023[C36] Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR ) , June 2023[J23] Observations on K-Image Expansion of Image-Mixing Augmentation IEEE Access [C35] Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization The 11th International Conference on Learning Representations (ICLR ) , May 2023[C34] Towards More Robust Interpretation via Local Gradient Alignment The 37th AAAI Conference on Artificial Intelligence (AAAI ) , February 2023[W] Towards More Objective Evaluation of Class Incremental Learning: Representation Learning Perspective CVPR Workshop on Continual Learning in Computer Vision (CLVISION )[W] Issues for Continual Learning in the Presence of Dataset Bias AAAI 2023 Bridge Program: Continual Causality
2022
[J22] GAN-Based Framework for Unified Estimation of Process-Induced Random Variation in FinFET IEEE Access [J21] Interpretable Deep Learning-based Hippocampal Sclerosis Classification Epilepsia Open (IF=4.026) [C33] Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks Neural Information Processing Systems (NeurIPS ) , December 2022[C32] GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training European Conference on Computer Vision (ECCV ) , October 2022[C31] Learning Fair Classifiers with Partially Annotated Group Labels IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR ) , June 2022[W] Task-Balanced Batch Normalization for Exemplar-based Class-Incremental Learning CVPR Workshop on Continual Learning in Computer Vision (CLVISION )
2021
[C30] SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning Neural Information Processing Systems (NeurIPS ) , December 2021[C29] SS-IL: Separated Softmax for Incremental Learning International Conference on Computer Vision (ICCV ) , October 2021[J20] Is the posterior cingulate cortex an on-off switch for tinnitus?: A comparison between hearing loss subjects with and without tinnitus Hearing Research [C28] Fair Feature Distillation for Visual Recognition IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR ) , June 2021[C27] FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise (Oral ) IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR ) , June 2021[J19] Prediction Model for Random Variation in FinFET Induced by Line-Edge-Roughness (LER) Electronics (IF=2.412 )[J18] Deep Learning Aided Blind Synchronization Word Estimation IEEE Access (IF=3.745 )[C26] CPR: Classifier-projection regularization for continual learning International Conference on Learning Representations (ICLR ) , May 20214th Lifelong Learning Workshop (LifelongML ) at ICML 2020 , July 2020[C25] GAN2GAN: Generative noise learning for blind image denoising with single noisy images International Conference on Learning Representations (ICLR ) , May 2021NeurIPS 2020 Workshop on Deep Learning and Inverse Problems[J17] Continual Learning of Micro-Doppler Signatures based Human Activity Classification IEEE Geoscience and Remote Sensing Letters (IF=3.833 )[W] Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack ICML 2021 Workshop on Adversarial Machine Learning (AdvML )
2020
[C24] Continual Learning with Node-Importance based Adaptive Group Sparse Regularization Neural Information Processing Systems (NeurIPS ) , December 2020CVPR Workshop on Continual Learning in Computer Vision (CLVISION ) , June 2020[J16] Learning blind pixelwise affine image denoiser with single noisy images IEEE Signal Processing Letters (IF=3.268 )[C23] Iterative channel estimation for discrete denoising under channel uncertainty Conference on Uncertainty in Artificial Intelligence (UAI ) , August 2020[C22] Unsupervised neural universal denoiser for finite-input general-output noisy channel International Conference on Artificial Intelligence and Statistics (AISTATS ) , August 2020[J15] Interpreting machine learning models in neuroimaging: Towards a unified framework Nature Protocols (IF=11.334 )[J14] Estimating PM2.5 concentration of the conterminous United States via interpretable convolutional neural networks (press )Environmental Pollution (IF=5.714 )[W] A simple class decision balancing for incremental learning CVPR Workshop on Continual Learning in Computer Vision (CLVISION ) , June 2020
2019
[C21] Uncertainty-based continual learning with adaptive regularization (code ,press )Proceedings of Neural Information Processing Systems (NeurIPS ) , December 2019[C20] Fooling neural network interpretations via adversarial model manipulation (code ,press )Proceedings of Neural Information Processing Systems (NeurIPS ) , December 2019ICCV Workshop on Interpreting and Explaining Visual Artificial Intelligence Models (VXAI ) , November 2019[C19] Working vacation scheduling of M^X/M/1/N system using neural networks 7th International Conference on Robot Intelligence Technology and Applications (RiTA ) , November 2019[C18] Fully convolutional pixel adaptive image denoiser (code )Proceedings of IEEE International Conference on Computer Vision (ICCV ) , October 2019[J13] Skip-connected 3D DenseNet for volumetric infant brain MRI segmentation Biomedical Signal Processing and Control , Vol.54, September 2019, 101613[C17] Subtask gated networks for non-intrusive load monitoring Thirty-Third AAAI Conference on Artificial Intelligence (AAAI ) , January 2019[C16] DoPAMINE: Double-sided masked CNN for pixelwise adaptive multiplicative noise despeckling (Oral ) Thirty-Third AAAI Conference on Artificial Intelligence (AAAI ) , January 2019
2018
2017
2016
[J10] Micro-Doppler based classification of human aquatic activities via transfer learning of convolutional neural networks Sensors , 2016,16,1990, November 2016[C12] Neural universal discrete denoiser Proceedings of Neural Information Processing Systems (NIPS ) , December 2016[C11] Classification of human activity on water through micro-Dopplers using deep convolutional neural networks Proceedings of SPIE 9829, Radar Sensor Technology XX , 982917, May 2016[J9] Regularization and kernelization of the maximin correlation approach IEEE Access , vol. 4, pp. 1385-1392, April 2016[J8] Human detection and activity classification based on micro-Dopplers using deep convolutional neural networks (3rd most downloaded paper (Aug 2016, July 2016) in IEEE GRSL )IEEE Geoscience and Remote Sensing Letters , vol.13, no.1, pp.8-12, January 2016
2015
[C10] RNNDrop: A novel dropout for RNNs in ASR Proceedings of 2015 IEEE Automatic Speech Recognition and Understanding (ASRU ) Workshop , December 2015[J7] Evaluation of a MISR-based high-resolution aerosol retrieval method using AERONET DRAGON campaign data IEEE Transactions on Geoscience and Remote Sensing , vol.53, no.8, pp.4328-4339, August 2015
Before 2015
[J6] Exploiting user preference for online learning in recommender systems ACM Transactions on Intelligent Systems and Technology , vol.5, no.2, April 2014[J5] An online learning framework for refining recency search results with user click feedback ACM Transactions on Information Systems , vol. 30, no.4, 20:1-20:28, November 2012[J4] Universal switching FIR filtering IEEE Transactions on Signal Processing , vol.60, no.3, pp.1460-1464, March 2012[C9] An unbiased offline evaluation of contextual bandit algorithms with generalized linear models Journal of Machine Learning Research - Workshop and Conference Proceedings 26: On-line Trading of Exploration and Exploitation 2 , pp.19-36, May 2012[C8] Discrete denoising of heterogeneous two-dimensional data Proceedings of 2011 IEEE International Symposium on Information Theory (ISIT ) , pp.966–970, St. Petersburg, Russia, August 2011[C7] Learning to model relatedness for news recommendation Proceedings of the 20th International World Wide Web (WWW ) Conference , pp.57-66, Hyderabad, India, March 2011[C6] User behavior driven ranking without editorial judgments Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM ) (short paper) , pp.1473–1476, Toronto, Canada, October 2010[C5] Online learning for recency search ranking using real-time user feedback Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM ) (short paper) , pp.1501–1504, Toronto, Canada, October 2010[C4] IntervalRank - Isotonic regression with listwise and pairwise constraints Proceedings of the 3rd ACM International Conference on Web Search and Data Mining (WSDM ) , pp.151–159, New York, NY, February 2010[J3] Discrete denoising with shifts IEEE Transactions on Information Theory , vol. 55, no.11, pp.5284–5301, November 2009[J2] Universal FIR MMSE filtering IEEE Transactions on Signal Processing , vol.57, no.3, pp.1068-1083, March 2009[J1] Universal filtering via hidden Markov modeling IEEE Transactions on Information Theory , vol.54, no.2, pp.692–708, February 2008[C3] Discrete denoising with shiftsProceedings of the 45th Annual Allerton Conference on Communication, Control, and Computation , Monticello, Illinois, September 2007[C2] Competitive on-line linear FIR MMSE filtering Proceedings of 2007 IEEE International Symposium on Information Theory (ISIT ) , pp.1126–1130, Nice, France, June 2007[C1] Discrete universal filtering via hidden Markov modeling Proceedings of 2005 IEEE International Symposium on Information Theory (ISIT ) , pp.1285–1289, Adelaide, Australia, September 2005
Unpublished manuscripts
Patents and Defensive Publications
Denoiser, and control method thereof US Patent Application 20180137405 A1 , May 2018Neural network training method and apparatus, and data processing apparatus US Patent Application 20160026913 A1 , Jan 2016Related news articles US Patent US8713028 B2 , April 2014A method of using a pairwise learning model in an online recommendation system IP.com Prior Art Database Disclosure, Disclosure Number IPCOM000216302D , March 2012Method and system of online learning for recency search ranking using real-time user feedback IP.com Prior Art Database Disclosure, Disclosure Number IPCOM000203007D , January 2011
Thesis
