A new event driven testbench synthesis engine for FPGA emulation. - Haocheng Huang; Aiwu Ruan; Yongbo Liao; Jianhua Zhu; Lin Wang; Chuanyin Xiang; Ping Li 024 (ASICON, 2011)

Optimizing and controlling functions of complex networks by manipulating rich-club connections - Xiaoke Xu; Jie Zhang 012; Ping Li 024; Michael Small (CoRR, 2011)

Population Behavior Analysis of Chinese University Students via Digital Campus Cards. - Shilin Fan; Ping Li 024; Ting Liu; Yan Chen (ICDM Workshops, 2015)

Social boundary of any two nodes in a social network. - Shilin Fan; Ping Li 024; Yan Chen; Lixue Chen (RAM/CIS, 2015)

Biterm-based multilayer perceptron network for tagging short text. - Hao Hu; Ping Li 024; Yan Chen (RAM/CIS, 2015)

Stock Market Trend Prediction Using High-Order Information of Time Series. - Min Wen; Ping Li 024; Lingfei Zhang; Yan Chen (IEEE Access, 2019)

Single document keyword extraction via quantifying higher-order structural features of word co-occurrence graph. - Yan Chen; Jie Wang; Ping Li 024; Peilun Guo (Comput. Speech Lang., 2019)

Augmented label propagation for seed set expansion. - Tingting Zhu; Xinyu Peng; Ping Li 024; Kai Zhang 001; Yan Chen (Knowl. Based Syst., 2019)

Augmented sentiment representation by learning context information. - Hu Han 002; Xuxu Bai; Ping Li 024 (Neural Comput. Appl., 2019)

GSSA: Pay attention to graph feature importance for GCN via statistical self-attention. - Jin Zheng; Yang Wang 188; Wanjun Xu; Zilu Gan; Ping Li 024; Jiancheng Lv 001 (Neurocomputing, 2020)

Online random forests regression with memories. - Yuan Zhong; Hongyu Yang; Yanci Zhang; Ping Li 024 (Knowl. Based Syst., 2020)

Change Point Detection in Dynamic Networks Based on Community Identification. - Tingting Zhu; Ping Li 024; Lanlan Yu; Kaiqi Chen; Yan Chen (IEEE Trans. Netw. Sci. Eng., 2020)

Context-aware Graph Collaborative Recommendation Without Feature Entanglement. - Tianyi Gu; Ping Li 024; Kaiwen Huang (CollaborateCom (1), 2021)

Long short-term memory self-adapting online random forests for evolving data stream regression. - Yuan Zhong; Hongyu Yang; Yanci Zhang; Ping Li 024; Cheng Ren (Neurocomputing, 2021)

Dig users' intentions via attention flow network for personalized recommendation. - Yan Chen; Yongfang Dai; Xiulong Han; Yi Ge; Hong Yin; Ping Li 024 (Inf. Sci., 2021)

Online Rebuilding Regression Random Forests. - Yuan Zhong; Hongyu Yang; Yanci Zhang; Ping Li 024 (Knowl. Based Syst., 2021)

Succinct Representation of Dynamic Networks. - Kaiqi Chen; Lanlan Yu; Tingting Zhu; Ping Li 024; Jürgen Kurths (IEEE Trans. Knowl. Data Eng., 2021)

Dynamic Periodic Location Encounter Network Analysis for Vehicular Social Networks. - Yuan Zhong; Kun Hua; Ping Li 024; Dan Deng; Xiaorong Liu; Yan Chen (IEEE Trans. Veh. Technol., 2021)

Semantic consistency for graph representation learning. - Jincheng Huang 005; Ping Li 024; Kai Zhang 001 (IJCNN, 2022)

Boosting semi-supervised network representation learning with pseudo-multitasking. - Biao Wang; Zhen Dai; Deshun Kong; Lanlan Yu; Jin Zheng; Ping Li 024 (Appl. Intell., 2022)

Learning heterophilious edge to drop: A general framework for boosting graph neural networks. - Jincheng Huang 005; Ping Li 024; Rui Huang; Chen Na (CoRR, 2022)

Latent graph learning with dual-channel attention for relation extraction. - Guogen Tang; Ping Li 024; Yupeng He; Yan Chen; Yuan Zhong; Fangji Gan (Knowl. Based Syst., 2022)

Traffic-GGNN: Predicting Traffic Flow via Attentional Spatial-Temporal Gated Graph Neural Networks. - Yang Wang 188; Jin Zheng; Yuqi Du; Cheng Huang; Ping Li 024 (IEEE Trans. Intell. Transp. Syst., 2022)

Hub-hub connections matter: Improving edge dropout to relieve over-smoothing in graph neural networks. - Rui Huang; Ping Li 024 (Knowl. Based Syst., 2023)

Aspect-Pair Supervised Contrastive Learning for aspect-based sentiment analysis. - Pan Li; Ping Li 024; Xiao Xiao (Knowl. Based Syst., 2023)

Data augmentation using Heuristic Masked Language Modeling. - Xiaorong Liu; Yuan Zhong; Jie Wang; Ping Li 024 (Int. J. Mach. Learn. Cybern., 2023)

Fast Convolutional Factorization Machine With Enhanced Robustness. - Tianyi Gu; Kaiwen Huang; Jie Zhang 012; Kai Zhang 001; Ping Li 024 (IEEE Trans. Knowl. Data Eng., 2023)

CateReg: category regularization of graph convolutional networks based collaborative filtering. - Kaiwen Huang; Jie Gong; Ping Li 024; Jinsong Zhao (Appl. Intell., 2023)

Dual channel group-aware graph convolutional networks for collaborative filtering. - Jinsong Zhao; Kaiwen Huang; Ping Li 024 (Appl. Intell., 2023)

A multi-stage approach for high-precision measurement of cervical curvature in X-ray images. - Yuan Zhong; Ya-Nan Huang; Jing Zhou; Ping Li 024; Yi Yang 001; Li-Tai Ma; Xiang Zhang (Biomed. Signal Process. Control., 2024)

DPGCL: Dual pass filtering based graph contrastive learning. - Rui Huang; Ping Li 024; Kai Zhang 001 (Neural Networks, 2024)

Revisiting the Role of Heterophily in Graph Representation Learning: An Edge Classification Perspective. - Jincheng Huang 005; Ping Li 024; Rui Huang; Na Chen; Acong Zhang (ACM Trans. Knowl. Discov. Data, 2024)

Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks. - Acong Zhang; Jincheng Huang 005; Ping Li 024; Kai Zhang 001 (ACM Trans. Knowl. Discov. Data, 2024)

Microscopic Defect Detection on Aircraft Engine Blades via Improved YOLOv8. - Yujie Jiang; Ping Li 024; Bing Lin; Yingying Wang; Tian Li; Hui Xue; Weidong Liu; Zaihu Han; Dan Wang; Junlei Tang (IEEE Access, 2025)

Color-channel adversarial attack with resolution based camouflaging. - Guowei Li; Ping Li 024; Xinpeng Zhu (Soft Comput., 2025)

Denoising Structure against Adversarial Attacks on Graph Representation Learning. - Na Chen; Ping Li 024; Jincheng Huang 005; Kai Zhang 001 (ACM Trans. Intell. Syst. Technol., 2025)