Proceedings

Xintao Wu

University of Arkansas

10 papers in the IJCAI proceedings

IJCAI 2026

LEMD: Latent Environment Extrapolation and Message Disentanglement for Dynamic Graph Under Distribution Shift
with Xiaoran Wei, Chen Zhao, Minglai Shao, Zhong Chen, Wenjun Wang, Qin Tian, Chang Liu
doi:10.24963/ijcai.2026/345
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PURE: Purging Unrelated Representations for Content-Agnostic Forgery Detection
with Xinyu Wu, Dong Li, Minglai Shao, Zhong Chen, Chen Zhao
doi:10.24963/ijcai.2026/207
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Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach
with An Vuong, Minh-Hao Van, Chen Zhao
doi:10.24963/ijcai.2026/453
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IJCAI 2024

Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
with Aneesh Komanduri, Yongkai Wu, Feng Chen
doi:10.24963/ijcai.2024/476
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Supervised Algorithmic Fairness in Distribution Shifts: A Survey
with Minglai Shao, Dong Li, Chen Zhao, Yujie Lin, Qin Tian
doi:10.24963/ijcai.2024/909
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IJCAI 2019

Achieving Causal Fairness through Generative Adversarial Networks
with Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang
doi:10.24963/ijcai.2019/201
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Counterfactual Fairness: Unidentification, Bound and Algorithm
with Yongkai Wu, Lu Zhang
doi:10.24963/ijcai.2019/199
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Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
with NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, My T. Thai
doi:10.24963/ijcai.2019/660
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IJCAI 2018

Achieving Non-Discrimination in Prediction
with Lu Zhang, Yongkai Wu
doi:10.24963/ijcai.2018/430
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IJCAI 2017

A Causal Framework for Discovering and Removing Direct and Indirect Discrimination
with Lu Zhang, Yongkai Wu
doi:10.24963/ijcai.2017/549
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