Conference appearances

• Causality Guided Representation Learning for Cross-Style Hate Speech Detection
  Authors: Chengshuai Zhao, Shu Wan, Paras Sheth, Karan Patwa, K. Selçuk Candan, Huan Liu
  Venue: The Web Conference ’26 (ACM Web Conference 2026) Links: Paper · Dataset · Code

• Workshop on Benchmarking Causal Models (CausalBench)
  Organizers: K. Selçuk Candan, Huan Liu, Ruocheng Guo, Paras Sheth, Ahmet Kapkiç, Pratanu Mandal
  Venue: Workshop at WSDM ’26 (19th ACM International Conference on Web Search and Data Mining), 2026
  Links: Workshop Link

• CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking (Resource Paper)
  Authors: Ahmet Kapkiç, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul Çoban, Paras Sheth, Huan Liu, K. Selçuk Candan
  Venue: CIKM ’25 (34th ACM International Conference on Information and Knowledge Management), 2025
  Links: Paper

• CausalBench: Causal Learning Research Streamlined (Hands-on Tutorial)
  Authors: Ahmet Kapkiç, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertuğrul Çoban, Paras Sheth, Huan Liu, K. Selçuk Candan
  Venue: KDD ’25 (31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining), 2025
  Links: Paper · Tutorial page

• Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning (Best Demo-Paper Award)
  Authors: Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan
  Venue: CIKM ’24 (33rd ACM International Conference on Information and Knowledge Management) — Demo Track, 2024
  Links: Paper

Reports and papers

• CausalBench: A Unifying Framework for Benchmarking Causal Learning Models
  Authors: Ahmet Kapkiç, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertuğrul Çoban, Paras Sheth, Huan Liu, K. Selçuk Candan
  Venue: Technical report (CausalBench)
  Links: Link