About Me

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Recent News

My lab homepage is open here. I am looking for highly self-motivated graduate & undergraduate students and postdoctoral researchers. If you are interested in working with me, please visit my lab page.

About

I am an Assistant Professor in the Department of Computer Science at Hanyang University. I am jointly appointed with the Department of Artificial Intelligence. Before joining here, I was a postdoctoral research associate at Georgia Institute of Technology working with Prof. Polo’s data science group. I obtained my B.S. and Ph.D. degrees in Hanyang University under the supervision of Prof. Sang-Wook Kim.

Areas of Interest

My research interests are broadly in the area of data mining, machine learning and AI. In the recent several years, my research interest was mainly focused on recommender systems. Currently I am interested in developing explainable & interpretable AI systems.

Experiences

Selected Publications

  • Sunghyun Hwang and Dong-Kyu Chae, An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering, In ACM CIKM 2022, Oct. 17-21, 2022 (A/R: TBA)
  • Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau and Sunghwan Park, Context-aware Traffic Flow Forecasting in New Roads, In ACM CIKM 2022, Oct. 17-21, 2022 (short paper)(co-first author)
  • Seonggyeom Kim and Dong-Kyu Chae, ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis, In KDD 2022, Aug. 14-18, 2022 (A/R: 15%)
  • Harim Lee, Eunseon Seong and Dong-Kyu Chae, Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data, In IJCAI 2022, Jul. 23-29, 2022 (A/R: 15%)
  • Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, and Sang-Wook Kim, Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation, In WSDM 2022, Feb. 21-25, 2022. (A/R: 20%)(co-first author)
  • Eujeanne Kim, Sung-Jun Park, Seokwoo Choi, Dong-Kyu Chae and Sang-Wook Kim, MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups, In ACM CCS 2021, Nov. 11-15, 2021. (demo track)(co-corresponding author)
  • Eujeanne Kim, Sung-Jun Park, Dong-Kyu Chae, Seokwoo Choi and Sang-Wook Kim, A Human-in-the-Loop Approach to Malware Author Classification, In ACM CIKM 2020, Oct. 19-23, 2020. (poster)
  • Dong-Kyu Chae, Jihoo Kim, Sang-Wook Kim and Duen Horng Chau, AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems, In ACM SIGIR 2020, Jul. 25-30, 2020. (A/R: 26%)
  • Jangwan Koo, Dong-Kyu Chae, Dong-Jin Kim and Sang-Wook Kim, Incremental C-Rank: An Effective and Efficient Ranking Algorithm for Dynamic Web Environment, Knowledge-Based Systems, Jul. 2019. (co-first author)
  • Dong-Kyu Chae, Sang-Wook Kim and Jung-Tae Lee, Autoencoder-based Personalized Ranking Framework Unifying Explicit and Implicit Feedback for Accurate Top-N Recommendation, Knowledge-Based Systems, Jul. 2019.
  • Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim and Jaeho Choi, Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering, In WWW 2019, May 13-17, 2019. (A/R: 20%)
  • Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim and Jung-Tae Lee, CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks, In ACM CIKM 2018, Oct. 22-26, 2018. (A/R: 17%)[code]
  • Hee-Jeong Kim, Jongwuk Lee, Dong-Kyu Chae, and Sang-Wook Kim, Crowdsourced Promotions in Doubt: Analyzing Effective Crowdsourced Promotions, Information Sciences, Mar. 2018.
  • Sang-Chul Lee, Sang-Wook Kim, Sunju Park and Dong-Kyu Chae, A Single-Step Approach to Recommendation Diversification, In WWW 2017, Apr. 03-07, 2017 (short paper).
  • Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae and Sang-Wook Kim, On Detecting Frauds in Comparison-Shopping Services, In WWW 2017, Apr. 03-07, 2017 (short paper).
  • Yoon-Yong Ko, Dong-Kyu Chae, and Sang-Wook Kim, Accurate Path-based Methods for Influence Maximization in Social Networks, In WWW 2016, Apr. 11-15, 2016 (short paper).
  • Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim, BooJoong Kang, Eul Gyu Im, and SunJu Park, Credible, Resilient, and Scalable Detection of Software Plagiarism Using Authority Histograms, Knowledge-Based Systems, Mar. 2016.
  • Dong-Kyu Chae, Sang-Wook Kim, Seong-Je Cho, and Yesol Kim, DAAV: Dynamic API Authority Vectors for Detecting Software Theft, In ACM CIKM 2015, Oct. 19-23, 2015 (short paper).
  • Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim, Boo-Joong Kang, and Eul-Gyu Im, Software Plagiarism Detection: A Graph-based Approach, In ACM CIKM 2013, Oct. 27 – Nov. 1, 2013. (short paper, best poster award)

Honors & Awards

Contact

  • dongkyu at hanyang dot ac dot kr