Ziqi Xu

According to our database, Ziqi Xu authored at least 28 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Disentangled Representation Learning for Causal Inference With Instruments.

Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework.

Brodie Oldfield, Ziqi Xu, Sevvandi Kandanaarachchi

CoRR, August, 2025

FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction.

Sichen Zhao, Wei Shao, Jeffrey Chan, Ziqi Xu, Flora Salim

CoRR, August, 2025

Deconfounding representation learning for mitigating latent confounding effects in recommendation.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Ziqi Xu, Shichao Zhang

Knowl. Inf. Syst., July, 2025

Data-driven learning optimal K values for K-nearest neighbour matching in causal inference.

Yinghao Zhang, Tingting Xu, Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Zaiwen Feng

Data Min. Knowl. Discov., July, 2025

An Item Response Theory-based R module for Algorithm Portfolio Analysis.

Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu, Mario Andrés Muñoz

SoftwareX, 2025

Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory.

Ziqi Xu, Chenglong Ma, Yongli Ren, Jeffrey Chan, Wei Shao, Feng Xia

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Fairness Evaluation with Item Response Theory.

Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi

Proceedings of the ACM on Web Conference 2025, 2025

Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders.

Haolin Wang, Lin Liu, Jiuyong Li, Ziqi Xu, Jixue Liu, Zehong Cao, Debo Cheng

Proceedings of the ACM on Web Conference 2025, 2025

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation.

Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors.

Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin, Feng Xia

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Xudong Guo, Shichao Zhang

CoRR, 2024

Deconfounding Time Series Forecasting.

Wentao Gao, Feiyu Yang, Mengze Hong, Xiaojing Du, Zechen Hu, Xiongren Chen, Ziqi Xu

CoRR, 2024

Linking Model Intervention to Causal Interpretation in Model Explanation.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

CoRR, 2024

Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables.

Yang Xie, Ziqi Xu, Debo Cheng, Jiuyong Li, Lin Liu, Yinghao Zhang, Zaiwen Feng

CoRR, 2024

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Conditional Instrumental Variable Regression with Representation Learning for Causal Inference.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TSI: A Multi-view Representation Learning Approach for Time Series Forecasting.

Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

CoRR, 2023

Linking a predictive model to causal effect estimation.

Jiuyong Li, Lin Liu, Ziqi Xu, Ha Xuan Tran, Thuc Duy Le, Jixue Liu

CoRR, 2023

A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation.

Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Disentangled Representation with Causal Constraints for Counterfactual Fairness.

Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference.

Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng

Proceedings of the IEEE International Conference on Data Mining, 2023

Disentangled Representation for Causal Mediation Analysis.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Causal Inference with Conditional Instruments Using Deep Generative Models.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Assessing Classifier Fairness with Collider Bias.

Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022