Journal Papers

  1. [ACM CSUR 2021]  Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, Chengxiang Zhai, Kalyan Veeramachaneni. "AutoML to Date and Beyond: Challenges and Opportunities." In ACM Computing Surveys, 54(8): 175:1-175:36 (2022). Paper
  2. [SIGKDD Explorations 2018]   Shubhra Kanti Karmaker Santu, C. Geigle, D. C. Ferguson, W. Cope, M. Kalantzis, D. Searsmith, Chengxiang Zhai. "SOFSAT: Towards a Setlike Operator based Framework for Semantic Analysis of Text". In ACM SIGKDD Explorations [Position Paper]"> Paper

Conference Papers

  1. [ACL 2022]   Mousumi Akter, Naman Bansal, Shubhra Kanti Karmaker. "Revisiting Automatic Evaluation of Extractive Summarization Task: Can We Do Better than ROUGE? ". In Findings of ACL , 2022. Paper
  2. [IUI 2021]   Biddut Sarker Bijoy, Syeda Jannatus Saba, Souvika Sarkar, Md Saiful Islam, Sheikh Rabiul Islam, Md. Ruhul Amin and Shubhra Kanti Karmaker. "COVID19𝛼: Interactive Spatio-Temporal Visualization of COVID-19 Symptoms through Tweet Analysis". In ACM IUI 2021. Paper Demo Video Tutorial
  3. [CIKM 2020] [**Best Poster Nomination**]Shubhra Kanti Karmaker Santu, Parikshit Sondhi and ChengXiang Zhai. "Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods". In ACM CIKM, 2020. Paper Presentation
  4. [ICWSM 2020]   Naeemul Hassan, Amrit Poudel, Jason Hale, Claire Hubacek, Khandakar Tasnim Huq, Shubhra Kanti Karmaker Santu, Syed Ishtiaque Ahmed. "Towards Automated Sexual Violence Report Tracking". In ICWSM 2020. Paper
  5. [CoNLL 2019]  Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni, ChengXiang Zhai. "Neural Language Models with Evolving Topical Influence". In ACL SIGNLL CoNLL 2019. Paper
  6. [CIKM 2019]  Saar Kuzi, Sahiti Labhishetty, Shubhra Kanti Karmaker Santu, Prasad Pradip Joshi and ChengXiang Zhai. "Analysis of Adaptive Training for Learning to Rank in Information Retrieval". In ACM CIKM 2019. Paper
  7. [CIKM 2018]  Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai. "JIM: Joint Influence Modeling for Collective Search Behavior". In ACM CIKM 2018. Paper Presentation
  8. [CIKM 2017]  Yiren Wang, Dominic Seyler, Shubhra Kanti Karmaker Santu, ChengXiang Zhai. "A Study of Feature Construction for Text-based Forecasting of Time Series Variables". In ACM CIKM 2017 [Short Paper]. Paper Presentation
  9. [SIGIR 2017]  Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai . "On Application of Learning to Rank for E-Commerce Search". In ACM SIGIR 2017. Paper Presentation
  10. [WWW 2017]  Shubhra Kanti Karmaker Santu, Liangda Li, Dae Hoon Park, Yi Chang, ChengXiang Zhai . "Modeling the Influence of Popular Trending Events on User Search Behavior". In WWW 2017. Paper Presentation
  11. [CIKM 2016]  Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai . "Generative Feature Language Models for Mining Implicit Features from Customer Reviews". In ACM CIKM 2016. Paper Presentation
  12. [IJCNN 2014]  Md. Mustafizur Rahman, Shubhra Kanti Karmaker Santu, Md. Monirul Islam, Kazuyuki Murase. "Forecasting time series - A layered ensemble architecture". In IJCNN 2014. Paper
  13. [CEC 2014]  Shubhra Kanti Karmaker Santu, Md. Mustafizur Rahman, Md. Monirul Islam, Kazuyuki Murase. "Towards better generalization in Pittsburgh learning classifier systems". In IEEE CEC (Congress on Evolutionary Computation) 2014. Paper   Presentation

Workshop Papers

  1. [UserNLP@WWW 2022]   Souvika Sarkar and Shubhra Kanti Karmaker Santu. "Concept Annotation from Users Perspective: A New Challenge". In UserNLP@WWW 2022. Paper
  2. [WPES@CCS 2018]   Shubhra Kanti Karmaker Santu, Vincent Bindschaedler, ChengXiang Zhai, Carl A. Gunter. "NRF: A Naive Re-identification Framework". In WPES@ACM CCS 2018. Paper Presentation

Arxiv Pre-prints

  1. [Arxiv 2019]   Lei Xu, Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni. "MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data." In Arxiv [Preprint] 2019. Paper