Bold: author of this site / *: corresponding author. Citation counts are on Google Scholar.
International Journals & Conference Proceedings
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[4]Proceedings of the 35th International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026), 2026 · pp. 4421–4429 · Acceptance rate 13.6% · CORE A*
@inproceedings{kim2026vector, title = {Vector-Quantized Discrete Latent Factors Meet Financial Priors: Dynamic Cross-Sectional Stock Ranking Prediction for Portfolio Construction}, author = {Kim, Namhyoung and Song, Jae Wook}, booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, {IJCAI-26}}, pages = {4421--4429}, year = {2026}, publisher = {International Joint Conferences on Artificial Intelligence Organization}, doi = {10.24963/ijcai.2026/492} } -
[3]HAR-CEV: Probabilistic Volatility Forecasting with Adaptive Mean Reversion under Distribution ShiftProceedings of the 7th ACM International Conference on AI in Finance (ICAIF '26), 2026 · Accepted, to appear
@inproceedings{na2026harcev, title = {{HAR-CEV}: Probabilistic Volatility Forecasting with Adaptive Mean Reversion under Distribution Shift}, author = {Na, Yosep and Kim, Namhyoung and Jun, Joon Ho and Song, Jae Wook}, booktitle = {Proceedings of the 7th ACM International Conference on AI in Finance}, series = {ICAIF '26}, year = {2026}, publisher = {ACM}, note = {To appear} } -
[2]Proceedings of the 6th ACM International Conference on AI in Finance (ICAIF '25), 2025 · pp. 405–412 · Oral · Acceptance rate 15.5%
@inproceedings{kim2025deep, title = {Deep Mean-Reversion: A Physics-Informed Contrastive Approach to Pairs Trading}, author = {Kim, Namhyoung and Na, Yosep and Song, Jae Wook}, booktitle = {Proceedings of the 6th ACM International Conference on AI in Finance}, series = {ICAIF '25}, pages = {405--412}, year = {2025}, publisher = {ACM}, doi = {10.1145/3768292.3770406} } -
[1]Knowledge-Based Systems, 2025 · Vol. 318, Article 113460 · IF 7.6 · JCR Q1 (Top 6%, AI / Computer Science)
@article{kim2025factorvqvae, title = {{FactorVQVAE}: Discrete Latent Factor Model via Vector Quantized Variational Autoencoder}, author = {Kim, Namhyoung and Ock, Seung Eun and Song, Jae Wook}, journal = {Knowledge-Based Systems}, volume = {318}, pages = {113460}, year = {2025}, publisher = {Elsevier}, doi = {10.1016/j.knosys.2025.113460} }
Domestic Journals
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[1]Korean Management Science Review, 41(1), 51–70, 2024 · Outstanding Paper Award (KORMS, 2024)
@article{ock2024machine, title = {Machine Learning-based Regional Healthy Life Expectancy Estimation Model: An Empirical Analysis Using Gyeongsangbuk-do Data}, author = {Ock, Seung Eun and Byun, Jun Young and Kim, Namhyoung and Song, Jae Wook}, journal = {Korean Management Science Review}, volume = {41}, number = {1}, pages = {51--70}, year = {2024}, publisher = {The Korean Operations Research and Management Science Society}, doi = {10.7737/kmsr.2024.41.1.051} }
Under Review & Working Papers
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[3]LEXICON: Making Factors Talk with Language-Grounded Anchors in Stock Return PredictionRevise & Resubmit, ACM SIGKDD 2027 (Cycle 1), 2026
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[2]PRAXIS: Policy-Coupled Group Robustness for Interpretable Deep HedgingManuscript, 2026
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[1]Decision Space QuantizationManuscript, 2026