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Xuanzhou Liu
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2020 – today
- 2025
[c4]Xuanzhou Liu
, Zhibo Xiao
, Luwei Yang
, Hansheng Xue
, Jianxing Ma
, Yujiu Yang
:
Improving CTR Prediction with Graph-Enhanced Interest Networks for Sparse Behavior Sequences. WSDM 2025: 876-884- 2024
[c3]Jianxing Ma
, Zhibo Xiao
, Luwei Yang
, Hansheng Xue
, Xuanzhou Liu
, Wen Jiang
, Wei Ning
, Guannan Zhang
:
Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation. CIKM 2024: 4743-4751
[i3]Jianxing Ma, Zhibo Xiao, Luwei Yang, Hansheng Xue, Xuanzhou Liu, Wen Jiang, Wei Ning, Guannan Zhang:
Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation. CoRR abs/2408.03091 (2024)- 2023
[c2]Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang:
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching. ICML 2023: 22454-22472
[c1]Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu:
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks. ICML 2023: 38826-38847
[i2]Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqing Yang
, Bei Yu:
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks. CoRR abs/2305.14065 (2023)
[i1]Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang:
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching. CoRR abs/2306.06380 (2023)
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