Data Intelligence (Intelligent Decision Making using AI)

• Artificial intelligence that helps make optimal decisions based on prediction, optimization, and reasoning techniques

  • Prediction

    • Prediction, Regression, Time-series Forecasting, Generative Models

  • Optimization

    • Deep Reinforcement Learning

  • Reasoning

    • Explainable AI, Causal Learning, Disentangled Representation Learning

  • Transfer Learning - Using knowledge with a lot of labelled data to a task with little labelled data

• Applications

  • Anomaly Detection, Demand/Sales/Raw Materials Price Forecasting, Process Optimization, Molecular Design, Reaction Prediction

Materials Intelligence (Materials Discovery and Design using AI)

• Artificial intelligence that helps make new materials based on prediction, and optimization techniques

• Applications

  • Universal Molecular Design, Neural Chemical Synthesis

LG AI Research (2022.12 ~ Present)

• Research Group Leader / Vice President, Applied AI Research Group

• Time-Series Forecasting, Prediction, Anomaly Detection, Reinforcement Learning, Recommendation, Generative Models, Representation Learning

• Materials Intelligence, Materials Discovery, AI based Molecular Design, AI based Reaction Prediction

• AI Service Platform

LG AI Research (2020.12 ~ 2022.11)

• Lab Leader / Vice President, Applied AI Research Lab

• Time-Series Forecasting, Prediction, Anomaly Detection, Reinforcement Learning, Recommendation, Generative Models, Representation Learning

LG Sciencepark (2020.09 ~ 2020.11)

• Lab Leader / Research Fellow, Data Intelligence Lab, AI Division

• Research Fellow

• Time-Series Forecasting, Prediction, Anomaly Detection, Reinforcement Learning, Generative Models, Representation Learning

LG Sciencepark (2019.03 ~ 2020.08)

• Research Fellow, AI Division

• Data Intelligence Task Leader

• Time-Series Forecasting, Prediction, Anomaly Detection, Reinforcement Learning, Generative Models, Representation Learning

SK Telecom (2013.05 ~ 2019.02)

• Principal Research Engineer, AI Tech. Unit

• Lead Acoustic Models and Front-end Processing Researcher

• Lead Speech Recognition Client/Server Software Architect

• NUGU Platform, Speech Recognition, Multi-Channel Speech Enhancement, Speech Recognition Client/Server

Samsung Electronics (2007.09 ~ 2013.04)

• Senior Software Engineer, Mobile Division

• S Voice (Speech Recognition and Natural Language Processing), S Translator (Machine Translation)

• Mobile Phone Multimedia Software Development (Video/Music Player, Video Telephony) 

Doctor of Philosophy, Machine Learning / Speech Recognition, Seoul National University (2007.08)

• Dissertation: "Statistical Approaches to Robust Speech Recognition in Adverse Environments"

• Projects: Robust Speech Recognition, Speech Enhancement, Speaker Adaptation, Audio Codec, Speech Synthesis, Disease of Vocal Cord and Larynx Detection, Cochlear Implant

Master's degree, Machine Learning / Speech Recognition, Seoul National University (2002.02)

• Thesis: "Score Normalization for Text-Independent Speaker Verification Systems"

• Projects: Robust Speech Recognition, Speech Synthesis, Cochlear Implant

Bachelor's degree, Electrical and Computer Engineering, Seoul National University (2000.02)

LG AI Research

• Naphtha Scheduling Optimization, 2022 ~

• AI Based PCB Layout Design, 2021 ~

• Recommendation, 2021 ~

• Music Composer, 2021 ~

• Demand/Sales Forecasting, 2021 ~

• Battery Anomaly Detection, 2020 ~

• AI Materials Discovery, 2020 ~

• Battery Discharge Capacity Prediction, 2020 ~ 2022

• Network Quality Anomaly Detection, 2020 ~ 2021

• Battery Cycle-life Prediction, 2020 ~ 2021

• AI Drug Discovery, 2020 ~ 2021

SK Telecom

• NUGU Speech Recognition , 2015 ~ 2019

• T-map Speech Recognition, 2014 ~ 2019

• SK Broadband Settop Box Speech Recognition, 2014 ~ 2019

• FPGA Accelerator for Speech Recognition, 2017 ~ 2019

• Contact Center Speech-to-Text Solution, 2014 ~ 2019

• Voice Phishing Detection, 2018 ~ 2019

Samsung Electronics

• S Translator (Galaxy S4 ~), 2012 ~ 2013

• S Voice (Galaxy S3 ~), 2012 ~ 2013

• Multimedia Framework, 2007 ~ 2012

• H. Ihm, S. Han, W. Lim, "Composer AI with tap-to-pitch generator," Neurips Workshop on Machine Learning for Creativity and Design, Dec. 2021.

• S. Han, H. Ihm, W. Lim, "Symbolic Music Loop Generation with VQ-VAE," arXiv:2111.07657, Nov. 2021.

• S. S. Han, I. J. Moon, S. H. Kim, J.-I. Na, M. S. Kim, G. H. Park, I. Park, K. Kim, W. Lim, J. H. Lee, S. E. Chang, "Assessment of deep neural networks for the diagnosis of benign and malignant skin neoplasms in comparison with dermatologists: A retrospective validation study," PLoS medicine, Nov. 2020.

• S. S. Han, I. Park, S. E. Chang, W. Lim, M. S. Kim, G. H. Park, J. B. Chae, C. H. Huh, J.-I. Na, "Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders," Journal of Investigative Dermatology, Mar. 2020.

• S. S. Han, I. J. Moon, W. Lim, I. S. Suh, S. Y. Lee, J.-I. Na, S. H. Kim, S. E. Chang, "Keratinocytic Skin Cancer Detection on the Face Using Region-based Convolutional Neural Network," JAMA Dermatology, Jan. 2020.

• M. Ahn, S. J. Hwang, W. Kim, S. Jung, Y. Lee, M. Chung, W. Lim, Y. Kim, "AIX: A High Performance and Energy Efficient Inference Accelerator on FPGA for a DNN-based Commercial Speech Recognition," Design, Automation & Test in Europe Conference & Exhibition, Mar. 2019.

• S. S. Han, W. Lim, M. S. Kim, I. Park, G. H. Park, S. E. Chang, "Interpretation of the Outputs of a Deep Learning Model Trained with a Skin Cancer Dataset," Journal of Investigative Dermatology, Oct. 2018.

• S. S. Han, M. S. Kim, W. Lim, G. H. Park, I. Park, S. E. Chang, "Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm," Journal of Investigative Dermatology, Feb. 2018.

• S. S. Han, G. H. Park, W. Lim, M. S. Kim, J.-I. Na, I. Park, S. E. Chang, "Deep Neural Networks Show an Equivalent and Often Superior Performance to Dermatologists in Onychomycosis Diagnosis: Automatic Construction of Onychomycosis Datasets by Region-based Convolutional Deep Neural Network," PLOS ONE, Jan. 2018.

• W. Lim, C. W. Han, N. S. Kim, "Computationally Efficient Cepstral Domain Feature Compensation," IEICE TRANS. INF. & SYST., Jan. 2009.

• W. Lim, C. W. Han, J. W. Shin, N. S. Kim, "Cepstral Domain Feature Compensation based on Diagonal Approximation," ICASSP, Mar. 2008.

• K.-H. Lee, W. Lim, N.-S. Kim, J.-H. Chang, "GMM-Based Gender Identification Employing Group Delay," The Journal of the Acoustical Society of Korea, Aug. 2007.

• J. W. Shin, W. Lim, J. Sung, N. S. Kim, "Speech Reinforcement based on Partial Specific Loudness," INTERSPEECH, Aug. 2007.

• W. Lim, N. S. Kim, "Feature Compensation Incorporating Modeling Error Statistics," IEEE Signal Processing Letters, Jun. 2007.

• W. Lim, J. K. Kim, N. S. Kim, "Feature Compensation using More Accurate Statistics of Modeling Error," ICASSP, Apr. 2007.

• J.-H. Chang, W. Lim, N. S. Kim, "Signal Modification Incorporating Perceptual Weighting Filter," INTERSPEECH, Sep. 2006.

• Y. J. Kim, W. Lim, N. S. Kim, "Clean Speech Feature Estimation based on Soft Spectral Masking," INTERSPEECH, Sep. 2006.

• W. Lim, B. K. Kim, N. S. Kim, "Feature Compensation based on Switching Linear Dynamic Model and Soft Decision," INTERSPEECH, Sep. 2005.

• N. S. Kim, D. J. Seo, W. Lim, "An Approach to Robust Unsupervised Speaker Adaptation," IEEE Signal Processing Letters, May 2005.

• N. S. Kim, W. Lim, R. M. Stern, "Feature Compensation based on Switching Linear Dynamic Model," IEEE Signal Processing Letters, May 2005.

• Y. J. Kim, H. W. Kim, W. Lim, N. S. Kim, "Feature Compensation Technique for Robust Speech Recognition in Noisy Environments," INTERSPEECH, Sep. 2003.

• D. K. Kim, Y. J. Kim, W. Lim, N. S. Kim, "Online Adaptation using Speatransformation Space Model Evolution," ICASSP, Apr. 2003.

• W. Lim, N. S. Kim, "Bayesian Approach to Text Independent Speaker Verification," ICSP, Aug. 2001.

Google Scholar 

• "Apparatus for Cancellation of Acoustic Echo and Computer Program Therefore," Korea Patent, 2017.

• "Method and System for Supporting a Translation-based Communication Service and Terminal Supporting the Service," US Patent, 2016.

• "Method for Extracting Feature Parameter of Speech Recognition and Apparatus using the Same," Korea Patent, 2013.

• "Supporting Method And System For Communication Service, and Electronic Device Supporting the Same," Korea Patent, 2013.