Zhichao Wang

According to our database, Zhichao Wang authored at least 14 papers between 2017 and 2025.

Collaborative distances:

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

2025

HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network.

Qian Li, Zhichao Wang, Haiyang Xia, Gang Li, Yanan Cao, Lina Yao, Guandong Xu

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

2023

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu

IEEE Trans. Knowl. Data Eng., October, 2023

Causal Optimal Transport for Treatment Effect Estimation.

Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Be Causal: De-Biasing Social Network Confounding in Recommendation.

Qian Li, Xiangmeng Wang, Zhichao Wang, Guandong Xu

ACM Trans. Knowl. Discov. Data, January, 2023

Toward Explainable Recommendation via Counterfactual Reasoning.

Haiyang Xia, Qian Li, Zhichao Wang, Gang Li

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

2022

Deep treatment-adaptive network for causal inference.

Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu

VLDB J., 2022

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu

CoRR, 2022

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations.

Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu

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.

Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu

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

2021

Hilbert Sinkhorn Divergence for Optimal Transport.

Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Causal-Aware Generative Imputation for Automated Underwriting.

Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu

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.

Zhichao Wang, Qian Li, Gang Li, Guandong Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold.

Qian Li, Zhichao Wang, Gang Li, Yanan Cao, Gang Xiong, Li Guo

Proceedings of the International Conference on Computational Science, 2017

Riemannian Submanifold Tracking on Low-Rank Algebraic Variety.

Qian Li, Zhichao Wang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017