Riemannian Submanifold Tracking on Low-Rank Algebraic Variety. - Qian Li 003; Zhichao Wang 001 (AAAI, 2017)

Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold. - Qian Li 003; Zhichao Wang 001; Gang Li 009; Yanan Cao 001; Gang Xiong 001; Li Guo 001 (ICCS, 2017)

Polynomial Representation for Persistence Diagram. - Zhichao Wang 001; Qian Li 003; Gang Li 009; Guandong Xu (CVPR, 2019)

Causal-Aware Generative Imputation for Automated Underwriting. - Qian Li 003; Tri Dung Duong; Zhichao Wang 001; Shaowu Liu; Dingxian Wang; Guandong Xu (CIKM, 2021)

Hilbert Sinkhorn Divergence for Optimal Transport. - Qian Li 003; Zhichao Wang 001; Gang Li 009; Jun Pang 001; Guandong Xu (CVPR, 2021)

Semantics-Guided Disentangled Learning for Recommendation. - Dianer Yu; Qian Li 003; Xiangmeng Wang; Zhichao Wang 001; Yanan Cao 001; Guandong Xu (PAKDD (1), 2022)

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Zhichao Wang 001; Hongxu Chen 002; Guandong Xu (SIGIR, 2022)

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Peng Cui 001; Zhichao Wang 001; Guandong Xu (CoRR, 2022)

Deep treatment-adaptive network for causal inference. - Qian Li 003; Zhichao Wang 001; Shaowu Liu; Gang Li 009; Guandong Xu (VLDB J., 2022)

Toward Explainable Recommendation via Counterfactual Reasoning. - Haiyang Xia; Qian Li 003; Zhichao Wang 001; Gang Li 009 (PAKDD (3), 2023)

Be Causal: De-Biasing Social Network Confounding in Recommendation. - Qian Li 003; Xiangmeng Wang; Zhichao Wang 001; Guandong Xu (ACM Trans. Knowl. Discov. Data, 2023)

Causal Optimal Transport for Treatment Effect Estimation. - Qian Li 003; Zhichao Wang 001; Shaowu Liu; Gang Li 009; Guandong Xu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Peng Cui 001; Zhichao Wang 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2023)

HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network. - Qian Li 003; Zhichao Wang 001; Haiyang Xia; Gang Li 009; Yanan Cao 001; Lina Yao 001; Guandong Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)