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Zhibo Cai
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2020 – today
- 2025
[j2]Yu Liu, Xu Qin, Zhibo Cai
:
A tree approach for variable selection and its random forest. Comput. Stat. Data Anal. 202: 108068 (2025)
[c3]Guoqing Hu
, An Zhang
, Shuo Liu
, Zhibo Cai
, Xun Yang
, Xiang Wang
:
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings. SIGIR 2025: 1614-1623
[i4]Guoqing Hu, An Zhang, Shuo Liu, Zhibo Cai, Xun Yang, Xiang Wang:
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings. CoRR abs/2504.19218 (2025)- 2024
[j1]Haochong Chen, Meixue Zhang, Shunfu Xiao, Qing Wang, Zhibo Cai, Qiaoxue Dong, Puyu Feng, Ke Shao, Yuntao Ma
:
Quantitative analysis and planting optimization of multi-genotype sugar beet plant types based on 3D plant architecture. Comput. Electron. Agric. 225: 109231 (2024)
[i3]Guoqing Hu, Zhengyi Yang, Zhibo Cai, An Zhang, Xiang Wang:
Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation. CoRR abs/2410.13428 (2024)- 2023
[c2]An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Boosting Causal Discovery via Adaptive Sample Reweighting. ICLR 2023
[c1]An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. NeurIPS 2023
[i2]An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting. CoRR abs/2303.03187 (2023)
[i1]An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. CoRR abs/2310.18700 (2023)
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