About Me

[공지] 시스템 문제로 인해 딥러닝 수업 청강 신청한 학생들 중 일부가 블랙보드 시스템에서 누락되었습니다. 메일로 다시 요청해주시면 청강생으로 등록해드리겠습니다.

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I am an Assistant Professor in the Department of Computer Science at Hanyang University. 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.

Contact

I am looking for highly self-motivated graduate & undergraduate students and postdoctoral researchers. If you are interested in working with me, please email me with your CV.

  • Primary: dongkyu at hanyang dot ac dot kr
  • Secondary: kyu899 at agape dot hanyang dot ac dot kr

Experiences

Conference Papers

  • [C15] Dong-Kyu Chae, Jin-Soo Kang, and Sang-Wook Kim, Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation, In DASFAA 2020, Sep. 24-27, 2020.
  • [C14] 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%)
  • [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, Sep. 2020.
  • [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