Data Stream Grouping Aggregate Algorithms Based on Compound Sliding Window. - Yingli Zhong; Jinbao Li; Longjiang Guo; Yan Yang (ISCSCT (2), 2008)

Data Streams Join Aggregate Algorithms Based on Compound Sliding Window. - Yingli Zhong; Weiping Wang 001; Longjiang Guo (DBTA, 2009)

An Effective Top-k Keyword Search Algorithm Based on Classified Steiner Tree. - Yan Yang; Mingzhu Tang; Yingli Zhong; Zhaogong Zhang; Longjiang Guo (WAIM Workshops, 2012)

Estimation of the Number of Distinct Values over Data Stream Based on Compound Sliding Window. - Yingli Zhong; Jinghua Zhu; Meirui Ren; Yan Yang (J. Softw., 2013)

Prediction of potential disease-associated microRNAs based on random walk. - Ping Xuan; Ke Han; Yahong Guo; Jin Li 024; Xia Li 004; Yingli Zhong; Zhaogong Zhang; Jian Ding (Bioinform., 2015)

Structural Holes Theory-Based Influence Maximization in Social Network. - Jinghua Zhu; Xuming Yin; Yake Wang; Jinbao Li; Yingli Zhong; Yingshu Li (WASA, 2017)

A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network. - Yingli Zhong; Ping Xuan; Xiao Wang; Tiangang Zhang; Jianzhong Li 001; Yong Liu 029; Weixiong Zhang (Bioinform., 2018)

Unsupervised Reused Convolutional Network for Metal Artifact Reduction. - Binyu Zhao; Jinbao Li; Qianqian Ren; Yingli Zhong (ICONIP (4), 2020)

An Incremental Partitioning Graph Similarity Search Based on Tree Structure Index. - Yuhang Li; Yan Yang; Yingli Zhong (ICPCSEE (1), 2020)

Multi-factor Fusion POI Recommendation Model. - Xinxing Ma; Jinghua Zhu; Shuo Zhang; Yingli Zhong (ICPCSEE (2), 2020)

Session-Recommendation Based on Gated Neural Network to Extract Item Structure Feature Graph. - Wei Zhang; Yan Yang; Yingli Zhong (DSDE, 2022)

Wasserstein Adversarial Variational Autoencoder for Sequential Recommendation. - Wenbiao Liu; Xianjin Rong; Yingli Zhong; Jinghua Zhu (APWeb/WAIM (4), 2023)

Mixed Augmentation Contrastive Learning for Graph Recommendation System. - Zhuolun Dong; Yan Yang; Yingli Zhong (APWeb/WAIM (2), 2024)

Knowledge-enhanced Dynamic Modeling framework for Multi-Behavior Recommendation. - Xiujuan Li; Nan Wang 024; Jin Zeng; Yingli Zhong; Zhonghui Shen (CIKM, 2024)

Time-aware Dual-kernel Hawkes Process for Sequential Recommendation. - Jingyang Liu; Nan Wang; Yingli Zhong; Zhonghui Shen (DASFAA (2), 2024)

AB-Agent Graph Neural Network. - He Liu; Yan Yang; Yingli Zhong (ICIC (19), 2025)

Global and Local Feature Enhancement for Short Video Fake News Detection. - Haoran Wang; Yan Yang; Yingli Zhong (ICIC (22), 2025)

Data Augmentation Based on Neighborhood Effects to Steer User Interests. - Xuefeng Jiang; Nan Wang 024; Yingli Zhong (WASA (3), 2025)