About Me

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Hi! I am Dong-Kyu Chae from South Korea. I am a postdoctoral research associate at Georgia Institute of Technology working with Prof. Polo’s data science group. Before joining here, 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 and machine learning. Currently, my research interest is mainly focused on recommender systems. I am also interested in incorporating visualization and explanation into recommender systems.

Experiences

Conference Papers

  • [C13] 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%)
  • [C12] 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]
  • [C11] Dong-Kyu Chae and Sang-Wook Kim, Adversarial Training of Deep Autoencoders Towards Recommendation Tasks, In IEEE IC-NIDC 2018, Aug. 22-24, 2018.
  • [C10] Jangwan Koo, Dong-Jin Kim, Dong-Kyu Chae, Sang-Wook Kim, Incremental Maintenance of C-Rank Scores in Dynamic Web Environment, In IEEE SMC 2017, Oct. 5-8, 2017.
  • [C9] Dong-Kyu Chae, Bo-Kyum Kim, Seung-Ho Kim and Sang-Wook Kim, On Classifying Dynamic Graph Bags, In ACM RACS 2017, Sept. 20-23, 2017.
  • [C8] 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).
  • [C7] 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).
  • [C6] Sang-Chul Lee, Si-Yong Lee, Dong-Kyu Chae, and Sang-Wook Kim, Scalable Collaborative Filtering Based on Efficient Identification of Similar Users, In IEEE IC-NIDC 2016, Sept. 23-25, 2016.
  • [C5] 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).
  • [C4] Hee-Jeong Kim, Dong-Kyu Chae, Jongwuk Lee, and Sang-Wook Kim, Analyzing Crowdsourced Promotion Effects in Online Social Networks, In ACM SAC 2016, Apr. 4-8, 2016.
  • [C3] 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).
  • [C2] 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)
  • [C1] Dong-Kyu Chae, Jiwoon Ha, Sang-Chul Lee, Sang-Wook Kim, and Gyun Woo, Software Plagiarism Detection via Static API Call Frequency Birthmark, In ACM SAC 2013, Mar. 18-22, 2013.

SCI(E) Journal Papers

  • [J12] Dong-Kyu Chae, Bo-Kyum Kim, Seung-Ho Kim and Sang-Wook Kim, Incremental Feature Selection for Efficient Classification of Dynamic Graph Bags, Concurrency and Computation: Practice and Experience, 2019.
  • [J11] Sang-Chul Lee, Sang-Wook Kim, Sunju Park, and Dong-Kyu Chae, A Tripartite-Graph Based Recommendation Framework for Price-Comparison Services, Computer Science and Information Systems, Jun. 2019.
  • [J10] 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)
  • [J9] 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.
  • [J8] Dong-Kyu Chae, Jung Ah Shin, and Sang-Wook Kim, Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model under the GAN Framework, IEEE Access, Dec. 2019.
  • [J7] Yoon-Yong Ko, Dong-Kyu Chae, and Sang-Wook Kim, Influence Maximization in Social Networks: A Target-Oriented Estimation, Journal of Information Science, Oct. 2018.
  • [J6] Hee-Jeong Kim, Jongwuk Lee, Dong-Kyu Chae, and Sang-Wook Kim, Crowdsourced Promotions in Doubt: Analyzing Effective Crowdsourced Promotions, Information Sciences, Mar. 2018.
  • [J5] Dong-Kyu Chae, Sang-Chul Lee, Si-Yong Lee, and Sang-Wook Kim, On Identifying k-Nearest Neighbors in Neighborhood Models for Efficient and Effective Collaborative Filtering, Neurocomputing, Feb. 2018.
  • [J4] Sang-Chul Lee, Sang-Wook Kim, Sunju Park, and Dong-Kyu Chae, An Effective Recommendation Method Considering User Preference and Diversity Simultaneously, IEICE Transactions on Information and Systems, Jan. 2018.
  • [J3] Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae, and Sang-Wook Kim, Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors, IEICE Transactions on Information and Systems, Oct. 2017.
  • [J2] 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.
  • [J1] Dong-Kyu Chae, Sang-Wook Kim, Seong-Je Cho, and Yesol Kim, Effective and Efficient Detection of Software Theft via Dynamic API Authority Vectors, Journal of Systems and Software, Dec. 2015.

Honors & Awards

Selected Projects

Contacts

  • Primary: kyu899 at agape dot hanyang dot ac dot kr
  • Secondary: cdongkyu3 at gatech dot edu