Learning Neural Templates for Recommender Dialogue System. - Zujie Liang; Huang Hu; Can Xu; Jian Miao; Yingying He; Yining Chen; Xiubo Geng; Fan Liang; Daxin Jiang (EMNLP (1), 2021)

FORCE: A Framework of Rule-Based Conversational Recommender System. - Jun Quan; Ze Wei; Qiang Gan 004; Jingqi Yao; Jingyi Lu; Yuchen Dong; Yiming Liu; Yi Zeng; Chao Zhang; Yongzhi Li; Huang Hu; Yingying He; et al. (AAAI, 2022)

High-Order Collaborative Filtering for Third-Party Library Recommendation. - Lianrong Chen; Naidan Mei; Yingying He; Wanping Liu; Guo Zhong; Mingdong Tang (ICWS, 2023)

Understanding and Enhancing Issue Prioritization in GitHub. - Yingying He; Wenhua Yang 001; Minxue Pan; Yasir Hussain; Yu Zhou 010 (ASE, 2023)

A framework of structural damage detection for civil structures using a combined multi-scale convolutional neural network and echo state network. - Yingying He; Likai Zhang; Zengshun Chen; Cruz Y. Li (Eng. Comput., 2023)

A Two-Stage Approach for GitHub Issue Links Identification and Classification. - Yingying He; Wenhua Yang 001 (APSEC, 2024)

Semi-supervised learning via DQN for log anomaly detection. - Yingying He; Xiaobing Pei; Lihong Shen (CoRR, 2024)

A multi-scale residual encoding network for concrete crack segmentation. - Die Liu; Mengdie Xu; Zhiting Li; Yingying He; Long Zheng; Pengpeng Xue; Xiaodong Wu (J. Intell. Fuzzy Syst., 2024)

Microscale Sensor Arrays for the Detection of Dopamine Using PEDOT:PSS Organic Electrochemical Transistors. - Chunling Li; Yingying He; Sven Ingebrandt; Xuan Thang Vu (Sensors, 2024)

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance. - Zhiqing Luo; Yi Wang 118; Yingying He; Wei Wang 050 (INFOCOM, 2025)

A parallel neural network based structural anomaly detection: Leveraging time-frequency domain features. - Yingying He; Bo Yang; Weihong Jin; Likai Zhang; Hongyang Chen (Neurocomputing, 2025)