QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation. - Panpan Wang; Zhao Li 007; Yazhou Zhang; Yuexian Hou; Liangzhu Ge (CIKM, 2019)

Regularizing Deep Neural Networks by Ensemble-based Low-Level Sample-Variances Method. - Shuai Yao; Yuexian Hou; Liangzhu Ge; Zeting Hu (CIKM, 2019)

VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract). - Liangzhu Ge; Yuexian Hou; Yaju Jiang; Shuai Yao; Chao Yang (AAAI, 2020)

Redundancy of Hidden Layers in Deep Learning: An Information Perspective. - Chenguang Zhang; Yuexian Hou; Dawei Song 001; Liangzhu Ge; Yaoshuai Yao (CoRR, 2020)

SAS: Self-Augmented Strategy for Language Model Pre-training. - Yifei Xu; Jingqiao Zhang; Ru He; Liangzhu Ge; Chao Yang; Cheng Yang; Ying Nian Wu (CoRR, 2021)

SAS: Self-Augmentation Strategy for Language Model Pre-training. - Yifei Xu; Jingqiao Zhang; Ru He; Liangzhu Ge; Chao Yang; Cheng Yang; Ying Nian Wu (AAAI, 2022)

Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved Negatives. - Wei Wang; Liangzhu Ge; Jingqiao Zhang; Cheng Yang (SIGIR, 2022)