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Ziqi Xu 0001
Person information
- affiliation: RMIT University, Melbourne, VIC, Australia
- affiliation (PhD): University of South Australia
Other persons with the same name
- Ziqi Xu — disambiguation page
- Ziqi Xu 0002
— Washington University in St. Louis, St. Louis, MO, USA
- Ziqi Xu 0003
- Ziqi Xu 0004
- Ziqi Xu 0005
- Ziqi Xu 0006
- Ziqi Xu 0007
- Ziqi Xu 0008 — Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, China
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2020 – today
- 2025
- [c13]Haolin Wang
Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders. WWW 2025: 413-424 - [c12]Ziqi Xu
Fairness Evaluation with Item Response Theory. WWW 2025: 2276-2288 - 2024
- [c11]Debo Cheng
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. AAAI 2024: 11480-11488 - [c10]Wentao Gao
TSI: A Multi-view Representation Learning Approach for Time Series Forecasting. AI (1) 2024: 291-302 - [c9]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. ICLR 2024 - [c8]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu:
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. ICLR 2024 - [i18]Yang Xie, Ziqi Xu, Debo Cheng, Jiuyong Li, Lin Liu, Yinghao Zhang, Zaiwen Feng:
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables. CoRR abs/2408.07219 (2024) - [i17]Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu, Mario Andrés Muñoz:
An Item Response Theory-based R Module for Algorithm Portfolio Analysis. CoRR abs/2408.14025 (2024) - [i16]Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen:
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting. CoRR abs/2409.19871 (2024) - [i15]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Linking Model Intervention to Causal Interpretation in Model Explanation. CoRR abs/2410.15648 (2024) - [i14]Wentao Gao, Feiyu Yang, Mengze Hong, Xiaojing Du, Zechen Hu, Xiongren Chen, Ziqi Xu:
Deconfounding Time Series Forecasting. CoRR abs/2410.21328 (2024) - [i13]Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi:
Fairness Evaluation with Item Response Theory. CoRR abs/2411.02414 (2024) - [i12]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Xudong Guo, Shichao Zhang:
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data. CoRR abs/2411.17774 (2024) - [i11]Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le:
Disentangled Representation Learning for Causal Inference with Instruments. CoRR abs/2412.04641 (2024) - 2023
- [c7]Debo Cheng, Ziqi Xu, Jiuyong Li
Causal Inference with Conditional Instruments Using Deep Generative Models. AAAI 2023: 7122-7130 - [c6]Ziqi Xu
Disentangled Representation for Causal Mediation Analysis. AAAI 2023: 10666-10674 - [c5]Debo Cheng
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. ICDM 2023: 51-60 - [c4]Ziqi Xu
Disentangled Representation with Causal Constraints for Counterfactual Fairness. PAKDD (1) 2023: 471-482 - [c3]Debo Cheng
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. ECML/PKDD (1) 2023: 525-540 - [c2]Tingting Xu, Yinghao Zhang, Jiuyong Li
A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. WISE 2023: 723-732 - [i10]Ziqi Xu, Debo Cheng
Disentangled Representation for Causal Mediation Analysis. CoRR abs/2302.09694 (2023) - [i9]Jiuyong Li, Lin Liu, Ziqi Xu, Ha Xuan Tran, Thuc Duy Le, Jixue Liu:
Linking a predictive model to causal effect estimation. CoRR abs/2304.04566 (2023) - [i8]Ziqi Xu, Debo Cheng
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion. CoRR abs/2304.11969 (2023) - [i7]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu:
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. CoRR abs/2306.12453 (2023) - [i6]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. CoRR abs/2310.01865 (2023) - [i5]Ziqi Xu, Debo Cheng
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. CoRR abs/2310.01937 (2023) - [i4]Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng:
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. CoRR abs/2312.05404 (2023) - [i3]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le:
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. CoRR abs/2312.07175 (2023) - 2022
- [c1]Zhenlong Xu, Ziqi Xu
Assessing Classifier Fairness with Collider Bias. PAKDD (2) 2022: 262-276 - [i2]Ziqi Xu, Jixue Liu, Debo Cheng
Disentangled Representation with Causal Constraints for Counterfactual Fairness. CoRR abs/2208.09147 (2022) - [i1]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Causal Inference with Conditional Instruments using Deep Generative Models. CoRR abs/2211.16246 (2022)
Coauthor Index
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