Boosting Causal Discovery via Adaptive Sample Reweighting. - An Zhang 003; Fangfu Liu; Wenchang Ma; Zhibo Cai; Xiang Wang 010; Tat-Seng Chua (ICLR, 2023)

Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. - An Zhang 003; Leheng Sheng; Zhibo Cai; Xiang Wang 010; Tat-Seng Chua (NeurIPS, 2023)

Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting. - An Zhang 003; Fangfu Liu; Wenchang Ma; Zhibo Cai; Xiang Wang 010; Tat-Seng Chua (CoRR, 2023)

Quantitative analysis and planting optimization of multi-genotype sugar beet plant types based on 3D plant architecture. - Haochong Chen; Meixue Zhang; Shunfu Xiao; Qing Wang; Zhibo Cai; Qiaoxue Dong; Puyu Feng; Ke Shao; Yuntao Ma (Comput. Electron. Agric., 2024)

Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation. - Guoqing Hu; Zhengyi Yang 007; Zhibo Cai; An Zhang 003; Xiang Wang 010 (CoRR, 2024)

AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings. - Guoqing Hu; An Zhang 003; Shuo Liu 017; Zhibo Cai; Xun Yang 001; Xiang Wang 010 (SIGIR, 2025)

A tree approach for variable selection and its random forest. - Yu Liu; Xu Qin; Zhibo Cai (Comput. Stat. Data Anal., 2025)