Zhaocheng Liu

发表

Improving Multi-Interest Network with Stable Learning

Qi Liu, Yingtao Luo, Zhi Chen, 2022, ArXiv.

Deep Stable Representation Learning on Electronic Health Records

Qiang Liu, Yingtao Luo, Zhaocheng Liu, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Deep Active Learning for Text Classification with Diverse Interpretations

Shu Wu, Qiang Liu, Yanqiao Zhu, 2021, CIKM.

Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation

Liang Wang, Zhen Zhu, Q. Liu, 2023, ArXiv.

STAN: Spatio-Temporal Attention Network for Next Location Recommendation

Qiang Liu, Yingtao Luo, Zhaocheng Liu, 2021, WWW.

Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor

Qiang Liu, Jingyi Wang, Zhaocheng Liu, 2019, CIKM.

Deep Active Learning by Model Interpretability pdf

Qiang Liu, Zhaocheng Liu, Xiaofang Zhu, 2020, ArXiv.

Mining Cross Features for Financial Credit Risk Assessment

Qiang Liu, Zhaocheng Liu, Yuntian Chen, 2021, CIKM.

DNN2LR: Automatic Feature Crossing for Credit Scoring

Qiang Liu, Zhaocheng Liu, Yuntian Chen, 2021, ArXiv.

DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data

Qiang Liu, Zhaocheng Liu, Yuntian Chen, 2020, ArXiv.

Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions

Qiang Liu, Liang Wang, Shu Wu, 2020, CIKM.

Multi-Epoch Learning for Deep Click-Through Rate Prediction Models

Zhaocheng Liu, Dongying Kong, Han Li, 2023, ArXiv.

CPM-sensitive AUC for CTR prediction pdf

Zhaocheng Liu, Guangxue Yin, Zhaocheng Liu, 2019, ArXiv.

LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction

Qiang Liu, Ji Liu, Jianchao Tan, 2022, ArXiv.