Shu Wan

15 papers A* 1A 2B 2Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Causality Guided Representation Learning for Cross-Style Hate Speech Detection.
WWW
Chengshuai Zhao, Shu Wan, Paras Sheth, Karan Patwa, K. Selçuk Candan, Huan Liu
2026 J jnl
DAGverse: Building Document-Grounded Semantic DAGs from Scientific Papers.
CoRR
Shu Wan, Saketh Vishnubhatla, Iskander Kushbay, Tom Heffernan, Aaron Belikoff, Raha Moraffah, Huan Liu
2026 J jnl
Proxy-Guided Measurement Calibration.
CoRR
Saketh Vishnubhatla, Shu Wan, Andre Harrison, Adrienne Raglin, Huan Liu
2025 B conf
CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting.
IEEE Big Data
Shu Wan, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
2025 J jnl
CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting.
CoRR
Shu Wan, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
2025 A conf
CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking.
CIKM
Ahmet Kapkiç, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul Çoban, Paras Sheth, Huan Liu, K. Selçuk Candan
2025 — conf
CausalBench: Causal Learning Research Streamlined.
KDD (2)
Ahmet Kapkiç, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul Çoban, Paras Sheth, Huan Liu, K. Selçuk Candan
2025 J jnl
Causality Guided Representation Learning for Cross-Style Hate Speech Detection.
CoRR
Chengshuai Zhao, Shu Wan, Paras Sheth, Karan Patwa, K. Selçuk Candan, Huan Liu
2024 A conf
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning.
CIKM
Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan
2024 J jnl
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning.
CoRR
Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan
2024 J jnl
Long-term causal effects estimation via latent surrogates representation learning.
Neural Networks
Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo
2024 B conf
Spatio-temporal Causal Learning for Streamflow Forecasting.
IEEE Big Data
Shu Wan, Reepal Shah, Qi Deng, John Sabo, Huan Liu, K. Selçuk Candan
2024 J jnl
Spatio-temporal Causal Learning for Streamflow Forecasting.
CoRR
Shu Wan, Reepal Shah, Qi Deng, John Sabo, Huan Liu, K. Selçuk Candan
2022 J jnl
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace.
CoRR
Shu Wan, Chen Zheng, Zhonggen Sun, Mengfan Xu, Xiaoqing Yang, Hongtu Zhu, Jiecheng Guo
2022 J jnl
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning.
CoRR
Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo