0-SM: A fast algorithm for mining Candidate Clusters in Pattern-based Clustering. - Jingfeng Guo; Qian Ma; Hanfeng Liu (CIDM, 2007)

An Efficient Graph-Based Multi-Relational Data Mining Algorithm. - Jingfeng Guo; Lizhen Zheng; Tieying Li (CIS, 2007)

Multi-relational Association Rule Mining with Guidance of User. - Jingfeng Guo; Weifeng Bian; Jing Li (FSKD (2), 2007)

An Efficient Relational Decision Tree Classification Algorithm. - Jingfeng Guo; Jing Li; Weifeng Bian (ICNC (3), 2007)

ELCEA: An Entity-Based Semantics Towards Effective XML Keyword Search. - Qingling Ji; Junfeng Zhou; Jingfeng Guo (DBTA, 2010)

Research on Set Pair Cognitive Map Model. - Chunying Zhang; Jingfeng Guo (ICICA (LNCS), 2010)

Mining high-quality clusters in pattern-based clustering. - Qian Ma; Jingfeng Guo (FSKD, 2011)

Image Texture Feature Extraction Method Based on Regional Average Binary Gray Level Difference Co-occurrence Matrix. - Jian Yang; Jingfeng Guo (Int. J. Virtual Real., 2011)

Fast SLCA and ELCA Computation for XML Keyword Queries Based on Set Intersection. - Junfeng Zhou; Zhifeng Bao; Wei Wang 011; Tok Wang Ling; Ziyang Chen; Xudong Lin 004; Jingfeng Guo (ICDE, 2012)

Top-Down SLCA Computation Based on Hash Search. - Junfeng Zhou; Guoxiang Lan; Ziyang Chen; Xian Tang; Jingfeng Guo (WAIM, 2012)

Efficient Greedy Algorithms for Influence Maximization in Social Networks. - Jiaguo Lv; Jingfeng Guo; Huixiao Ren (J. Inf. Process. Syst., 2014)

Research of Community Partition Based on the Modularity in Signed Network. - Jingfeng Guo; Xiao Chen; Junli Yu; Chaozhi Fan; Miaomiao Liu 005 (ICDS, 2015)

Link Prediction Based on the Similarity of Transmission Nodes of Multiple Paths in Weighted Social Networks. - Miaomiao Liu 005; Jingfeng Guo; Xu Luo (J. Inf. Hiding Multim. Signal Process., 2016)

Study on similarity based on connection degree in social network. - Xiao Chen; Jingfeng Guo; Fengchun Liu; Chunying Zhang (Clust. Comput., 2017)

Link Prediction in Signed Networks based on The Similarity and Structural Balance Theory. - Miaomiao Liu 005; Jingfeng Guo; Jing Chen 039 (J. Inf. Hiding Multim. Signal Process., 2017)

Partitioning Weighted Social Networks based on the Link Strength of Nodes and Communities. - Miaomiao Liu 005; Jingfeng Guo; Jing Chen 039 (J. Inf. Hiding Multim. Signal Process., 2018)

Distortion-aware Virtual Environments Transmission Scheme over a Bandwidth-limited Network. - Jingfeng Guo; Yitong Liu; Lin Sang; Hongwen Yang (ICCC, 2019)

A Three-Stage Progressive Transmission Scheme for Virtual Environments Over Lossy Networks. - Yitong Liu; Jingfeng Guo; Ken Deng; Yishi Liu (IEEE Access, 2019)

Link prediction in signed networks based on connection degree. - Xiao Chen; Jingfeng Guo; Xiao Pan; Chunying Zhang (J. Ambient Intell. Humaniz. Comput., 2019)

Community Discovery in Weighted Networks Based on the Similarity of Common Neighbors. - Miaomiao Liu 005; Jingfeng Guo; Jing Chen 039 (J. Inf. Process. Syst., 2019)

Facing Cold-Start: A Live TV Recommender System Based on Neural Networks. - Xiaosong Zhu; Jingfeng Guo; Shuang Li; Tong Hao (IEEE Access, 2020)

Cardiac VFM visualization and analysis based on YOLO deep learning model and modified 2D continuity equation. - Zhemin Zhuang; Guobao Liu; Wanli Ding; Alex Noel Joseph Raj; Shunmin Qiu; Jingfeng Guo; Ye Yuan (Comput. Medical Imaging Graph., 2020)

符号网络链接预测算法研究综述 (Survey of Link Prediction Algorithms in Signed Networks). - Miaomiao Liu 005; Qingcui Hu; Jingfeng Guo; Jing Chen 039 (计算机科学, 2020)

Link Prediction Algorithm for Signed Social Networks Based on Local and Global Tightness. - Miaomiao Liu 005; Qingcui Hu; Jingfeng Guo; Jing Chen 039 (J. Inf. Process. Syst., 2021)

Automated detection and analysis of piglet suckling behaviour using high-accuracy amodal instance segmentation. - Haiming Gan; Mingqiang Ou; Chengpeng Li; Xiarui Wang; Jingfeng Guo; Axiu Mao; Maria Camila Ceballos; Thomas D. Parsons; Kai Liu 008; Yueju Xue (Comput. Electron. Agric., 2022)

An Optimized Neural Network Prediction Model for Reservoir Porosity Based on Improved Shuffled Frog Leaping Algorithm. - Miaomiao Liu 005; Dan Yao; Jingfeng Guo; Jing Chen 039 (Int. J. Comput. Intell. Syst., 2022)

An improved two-stage label propagation algorithm based on LeaderRank. - Miaomiao Liu 005; Jinyun Yang; Jingfeng Guo; Jing Chen 039; Yongsheng Zhang (PeerJ Comput. Sci., 2022)

Reverse Nearest Neighbor Search in Semantic Trajectories for Location-Based Services. - Xiao Pan; Shili Nie; Haibo Hu 001; Philip S. Yu; Jingfeng Guo (IEEE Trans. Serv. Comput., 2022)

MSW-Transformer: Multi-Scale Shifted Windows Transformer Networks for 12-Lead ECG Classification. - Renjie Cheng; Zhemin Zhuang; Shuxin Zhuang; Lei Xie; Jingfeng Guo (CoRR, 2023)

Counting piglet suckling events using deep learning-based action density estimation. - Haiming Gan; Jingfeng Guo; Kai Liu 008; Xinru Deng; Hui Zhou; Dehuan Luo; Shiyun Chen; Tomas Norton; Yueju Xue (Comput. Electron. Agric., 2023)

An Adaptive Lion Swarm Optimization Algorithm Incorporating Tent Chaotic Search and Information Entropy. - Miaomiao Liu 005; Yuying Zhang; Jingfeng Guo; Jing Chen 039; Zhigang Liu (Int. J. Comput. Intell. Syst., 2023)

Construction and Embedding Representation of Relational Aggregation Hypergraphs in Cyber-Physical Systems. - Liyan Zhang; Jingfeng Guo; Yang Li; Jing Wang; Shanshan Li; Chunying Zhang; Jiaqi Ji (IEEE Syst. J., 2023)

AG-NeRF: Attention-Guided Neural Radiance Fields for Multi-height Large-Scale Outdoor Scene Rendering. - Jingfeng Guo; Xiaohan Zhang; Baozhu Zhao; Qi Liu 005 (PRCV (6), 2024)

A Traffic Flow Prediction Model Integrating Dynamic Implicit Graph Information. - You Wu; Jingfeng Guo; Xiao Chen; Xiao Pan; Bin Liu 065 (PRICAI (1), 2024)

An automatic tracking method for fruit abscission of litchi using convolutional networks. - Tong Huang; Jingfeng Guo; Long Yu; Houbin Chen; Zuanxian Su; Yueju Xue (Comput. Electron. Agric., 2024)

PointCore: Efficient Unsupervised Point Cloud Anomaly Detector Using Local-Global Features. - Baozhu Zhao; Qiwei Xiong; Xiaohan Zhang; Jingfeng Guo; Qi Liu 005; Xiaofen Xing; Xiangmin Xu (CoRR, 2024)

AG-NeRF: Attention-guided Neural Radiance Fields for Multi-height Large-scale Outdoor Scene Rendering. - Jingfeng Guo; Xiaohan Zhang; Baozhu Zhao; Qi Liu (CoRR, 2024)

A label propagation community discovery algorithm combining seed node influence and neighborhood similarity. - Miaomiao Liu 005; Jinyun Yang; Jingfeng Guo; Jing Chen 039 (Knowl. Inf. Syst., 2024)

Hypergraph representation learning based on fuzzy attention network. - Liyan Zhang; Yifan Li; Xinghui Hao; Qinyu Zhang; Aimin Yang; Jingfeng Guo; Lei Zhang (Appl. Soft Comput., 2025)

GarmentX: Autoregressive Parametric Representations for High-Fidelity 3D Garment Generation. - Jingfeng Guo; Jinnan Chen; Weikai Chen 003; Zhenyu Sun; Lanjiong Li; Baozhu Zhao; Lingting Zhu; Xin Wang; Qi Liu (CoRR, 2025)

Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning. - Jian Liu; Jing Xu; Song Guo; Jing Li; Jingfeng Guo; Jiaao Yu; Haohan Weng; Biwen Lei; Xianghui Yang; Zhuo Chen; Fangqi Zhu; Tao Han; et al. (CoRR, 2025)

Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization. - Jingfeng Guo; Jian Liu; Jinnan Chen; Shiwei Mao; Changrong Hu; Puhua Jiang; Junlin Yu; Jing Xu; Qi Liu; Lixin Xu; Zhuo Chen; Chunchao Guo (CoRR, 2025)