Zhichao Wang

Orcid: 0000-0003-1326-0859

Affiliations:
  • University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, NSW, Australia


According to our database1, Zhichao Wang authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation.
IEEE Trans. Knowl. Data Eng., October, 2023

Causal Optimal Transport for Treatment Effect Estimation.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Be Causal: De-Biasing Social Network Confounding in Recommendation.
ACM Trans. Knowl. Discov. Data, January, 2023

Toward Explainable Recommendation via Counterfactual Reasoning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022
Deep treatment-adaptive network for causal inference.
VLDB J., 2022

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation.
CoRR, 2022

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Semantics-Guided Disentangled Learning for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021
Hilbert Sinkhorn Divergence for Optimal Transport.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Causal-Aware Generative Imputation for Automated Underwriting.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2019
Polynomial Representation for Persistence Diagram.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold.
Proceedings of the International Conference on Computational Science, 2017

Riemannian Submanifold Tracking on Low-Rank Algebraic Variety.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017


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