Sampling Ensembles for Frequent Patterns. - Caiyan Jia; Ruqian Lu (FSKD (1), 2005)

KemaDom: a web server for domain prediction using kernel machine with local context. - Lusheng Chen; Wei Wang 004; Shaoping Ling; Caiyan Jia; Fei Wang (Nucleic Acids Res., 2006)

An Exact Data Mining Method for Finding Center Strings and All Their Instances. - Ruqian Lu; Caiyan Jia; Shaofang Zhang; Lusheng Chen; Hongyu Zhang (IEEE Trans. Knowl. Data Eng., 2007)

Initializing K-means Clustering Using Affinity Propagation. - Yan Zhu 012; Jian Yu 001; Caiyan Jia (HIS (1), 2009)

Convergence Analysis of Affinity Propagation. - Jian Yu 001; Caiyan Jia (KSEM, 2009)

Affinity Propagation on Identifying Communities in Social and Biological Networks. - Caiyan Jia; Yawen Jiang; Jian Yu 001 (KSEM, 2010)

A Frequent Pattern Mining Method for Finding Planted (l, d)-motifs of Unknown Length. - Caiyan Jia; Ruqian Lu; Lusheng Chen (RSKT, 2010)

Multiscale backbone based network comparison algorithm for effective herbal interaction analysis. - Ninglin Du; Xuezhong Zhou; Runshun Zhang; Caiyan Jia; Jian Yu 001; Baoyan Liu (BMEI, 2011)

Data Clustering by Scaled Adjacency Matrix. - Jian Yu 001; Caiyan Jia (KSEM, 2011)

Community-Based Relational Markov Networks in Complex Networks. - Huaiyu Wan; Youfang Lin; Caiyan Jia; Houkuan Huang (RSKT, 2011)

A Frequent Pattern Mining Method for Finding Planted Motifs of Unknown Length in DNA Sequences. - Caiyan Jia; Ruqian Lu; Lusheng Chen (Int. J. Comput. Intell. Syst., 2011)

A conversation with Professor Ruqian Lu et al. - Shuigeng Zhou; Caiyan Jia; Fei Wang; Qiwen Dong; Shanfeng Zhu; Ruqian Lu (SIGKDD Explor., 2011)

A fast weak motif-finding algorithm based on community detection in graphs. - Caiyan Jia; Matthew B. Carson; Jian Yu 001 (BMC Bioinform., 2013)

Improving Automatic Name-Face Association using Celebrity Images on the Web. - Zhineng Chen; Bailan Feng; Chong-Wah Ngo; Caiyan Jia; Xiangsheng Huang (ICMR, 2015)

Community detection using nonnegative matrix factorization with orthogonal constraint. - Yaoyao Qin; Caiyan Jia; Yafang Li (ICACI, 2016)

Large-Scale Product Classification via Spatial Attention Based CNN Learning and Multi-class Regression. - Shanshan Ai; Caiyan Jia; Zhineng Chen (MMM (1), 2017)

Clustering Uncertain Graphs with Node Attributes. - Yafang Li; Xiangnan Kong; Caiyan Jia; Jianqiang Li 002 (ACML, 2018)

General Structure Preserving Network Embedding. - Sinan Zhu; Caiyan Jia (IDEAL (1), 2018)

FFDet: a Fully Convolutional Network for Coral Reef Fish Detection by Layer Fusion. - Cuncun Shi; Caiyan Jia; Zhineng Chen (VCIP, 2018)

Attention Boosted Sequential Inference Model. - Guanyu Li; Pengfei Zhang; Caiyan Jia (CoRR, 2018)

Concept decompositions for short text clustering by identifying word communities. - Caiyan Jia; Matthew B. Carson; Xiaoyang Wang; Jian Yu 001 (Pattern Recognit., 2018)

psDirector: An Automatic Director for Watching View Generation from Panoramic Soccer Video. - Chunyang Li; Caiyan Jia; Zhineng Chen; Xiaoyan Gu 001; Hongyun Bao (MMM (2), 2019)

A generative model for exploring structure regularities in attributed networks. - Zhenhai Chang; Caiyan Jia; Xianjun Yin; Yimei Zheng (Inf. Sci., 2019)

Locally Weighted Fusion of Structural and Attribute Information in Graph Clustering. - Yafang Li; Caiyan Jia; Xiangnan Kong; Liu Yang; Jian Yu 001 (IEEE Trans. Cybern., 2019)

Structure-Aware Deep Learning for Product Image Classification. - Zhineng Chen; Shanshan Ai; Caiyan Jia (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Autosoccer: An Automatic Soccer Live Broadcasting Generator. - Chunyang Li; Zhineng Chen; Caiyan Jia; Hongyun Bao; Changsheng Xu (ICME Workshops, 2020)

An Empirical Study of Object Detectors and Its Verification on the Embedded Object Detection Model Competition. - Junda Ren; Yongkun Du; Zhineng Chen; Fen Xiao; Caiyan Jia; Hongyun Bao (ICME Workshops, 2020)

An Overview of Image-to-Image Translation Using Generative Adversarial Networks. - Xin Chen; Caiyan Jia (ICPR Workshops (6), 2020)

Signet Ring Cell Detection with Classification Reinforcement Detection Network. - Sai Wang; Caiyan Jia; Zhineng Chen; Xieping Gao (ISBRA, 2020)

Traffic Flow Prediction via Spatial Temporal Graph Neural Network. - Xiaoyang Wang; Yao Ma 001; Yiqi Wang 001; Wei Jin 009; Xin Wang 035; Jiliang Tang; Caiyan Jia; Jian Yu 001 (WWW, 2020)

Integrated network analysis of symptom clusters across disease conditions. - Kezhi Lu; Kuo Yang; Edouard Niyongabo; Zixin Shu; Jingjing Wang; Kai Chang; Qunsheng Zou; Jiyue Jiang; Caiyan Jia; Baoyan Liu; Xuezhong Zhou (J. Biomed. Informatics, 2020)

Self-supervised Variational Autoencoder for Recommender Systems. - Jing Wang; Gangdu Liu; Jun Wu; Caiyan Jia; Zhifei Zhang (ICTAI, 2021)

Bag of Tricks for Building an Accurate and Slim Object Detector for Embedded Applications. - Yongkun Du; Zhineng Chen; Caiyan Jia; Xuanya Li; Yu-Gang Jiang 001 (ICMR, 2021)

A Generative Node-attribute Network Model for Detecting Generalized Structure. - Wei Liu; Zhenhai Chang; Caiyan Jia; Yimei Zheng (CoRR, 2021)

A lightweight propagation path aggregating network with neural topic model for rumor detection. - Pengfei Zhang; Hongyan Ran; Caiyan Jia; Xuanya Li; Xueming Han (Neurocomputing, 2021)

CRDet: Improving Signet Ring Cell Detection by Reinforcing the Classification Branch. - Zhineng Chen; Sai Wang; Caiyan Jia; Kai Hu 002; Xiongjun Ye; Xuanya Li; Xieping Gao (J. Comput. Biol., 2021)

A Graph Based Approach Towards Exploiting Reviews for Recommendation. - Bo Kong; Caiyan Jia (ICIAI, 2022)

SVTR: Scene Text Recognition with a Single Visual Model. - Yongkun Du; Zhineng Chen; Caiyan Jia; Xiaoting Yin; Tianlun Zheng; Chenxia Li; Yuning Du; Yu-Gang Jiang 001 (IJCAI, 2022)

Fast Detection of Multi-Direction Remote Sensing Ship Object Based on Scale Space Pyramid. - Ziying Song; Li Wang 092; Guoxin Zhang; Caiyan Jia; Jiangfeng Bi; Haiyue Wei; Yongchao Xia; Chao Zhang; Lijun Zhao 003 (MSN, 2022)

MGAT-ESM: Multi-channel graph attention neural network with event-sharing module for rumor detection. - Hongyan Ran; Caiyan Jia; Pengfei Zhang; Xuanya Li (Inf. Sci., 2022)

Self-supervised global context graph neural network for session-based recommendation. - Fei Chu; Caiyan Jia (PeerJ Comput. Sci., 2022)

Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention. - Hongyan Ran; Caiyan Jia (AAAI, 2023)

GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection. - Ziying Song; Haiyue Wei; Lin Bai; Lei Yang 060; Caiyan Jia (ICCV, 2023)

Contrastive Learning with Cluster-Preserving Augmentation for Attributed Graph Clustering. - Yimei Zheng; Caiyan Jia; Jian Yu 001 (ECML/PKDD (1), 2023)

A metric-learning method for few-shot cross-event rumor detection. - Hongyan Ran; Caiyan Jia; Jian Yu 001 (Neurocomputing, 2023)

A super-resolution network using channel attention retention for pathology images. - Feiyang Jia; Li Tan; Ge Wang; Caiyan Jia; Zhineng Chen (PeerJ Comput. Sci., 2023)

VP-Net: Voxels as Points for 3-D Object Detection. - Ziying Song; Haiyue Wei; Caiyan Jia; Yongchao Xia; Xiaokun Li; Chao Zhang (IEEE Trans. Geosci. Remote. Sens., 2023)

VoxelNextFusion: A Simple, Unified, and Effective Voxel Fusion Framework for Multimodal 3-D Object Detection. - Ziying Song; Guoxin Zhang; Jun Xie 003; Lin Liu; Caiyan Jia; Shaoqing Xu; Zhepeng Wang 002 (IEEE Trans. Geosci. Remote. Sens., 2023)

A multi-level generative framework for community detection in attributed networks. - Yimei Zheng; Caiyan Jia; Xuanya Li (J. Complex Networks, 2023)

Deep embedded clustering with distribution consistency preservation for attributed networks. - Yimei Zheng; Caiyan Jia; Jian Yu 001; Xuanya Li (Pattern Recognit., 2023)

Multi-Modal 3D Object Detection in Autonomous Driving: A Survey and Taxonomy. - Li Wang 092; Xinyu Zhang 001; Ziying Song; Jiangfeng Bi; Guoxin Zhang; Haiyue Wei; Liyao Tang; Lei Yang 060; Jun Li 082; Caiyan Jia; Lijun Zhao 003 (IEEE Trans. Intell. Veh., 2023)

Self-supervised variational autoencoder towards recommendation by nested contrastive learning. - Jing Wang 116; Jun Wu 007; Caiyan Jia; Zhifei Zhang (Appl. Intell., 2023)

A Rumor Detection Model Incorporating Propagation Path Contextual Semantics and User Information. - Lin Bai; Xueming Han; Caiyan Jia (Neural Process. Lett., 2023)

Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection. - Chaoqun Cui; Caiyan Jia (AAAI, 2024)

Automated Multi-scale Contrastive Learning with Sample-Awareness for Graph Classification. - Yafang Li; Jie Kang; Xuyang Li; Caiyan Jia; Baokai Zu (APWeb/WAIM (3), 2024)

GraphBEV: Towards Robust BEV Feature Alignment for Multi-modal 3D Object Detection. - Ziying Song; Lei Yang 060; Shaoqing Xu; Lin Liu; Dongyang Xu; Caiyan Jia; Feiyang Jia; Li Wang 092 (ECCV (26), 2024)

Dual Contrastive Learning Guided Pathological Image Re-Staining. - Yuexiao Liang; Zhineng Chen; Xin Chen; Caiyan Jia; Xiongjun Ye; Xieping Gao (ICASSP, 2024)

RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM. - Ziying Song; Guoxing Zhang; Lin Liu; Lei Yang 060; Shaoqing Xu; Caiyan Jia; Feiyang Jia; Li Wang 092 (IJCAI, 2024)

VGA: Vision and Graph Fused Attention Network for Rumor Detection. - Lin Bai; Caiyan Jia; Ziying Song; Chaoqun Cui (CoRR, 2024)

VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object Detection. - Ziying Song; Guoxin Zhang; Jun Xie 003; Lin Liu; Caiyan Jia; Shaoqing Xu; Zhepeng Wang 002 (CoRR, 2024)

RoboFusion: Towards Robust Multi-Modal 3D obiect Detection via SAM. - Ziying Song; Guoxing Zhang; Lin Liu; Lei Yang 060; Shaoqing Xu; Caiyan Jia; Feiyang Jia; Li Wang 092 (CoRR, 2024)

ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection. - Ziying Song; Feiyang Jia; Hongyu Pan; Yadan Luo; Caiyan Jia; Guoxin Zhang; Lin Liu; Yang Ji; Lei Yang 060; Li Wang 092 (CoRR, 2024)

SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection. - Lin Liu; Ziying Song; Qiming Xia; Feiyang Jia; Caiyan Jia; Lei Yang; Hongyu Pan (CoRR, 2024)

CWT-Net: Super-resolution of Histopathology Images Using a Cross-scale Wavelet-based Transformer. - Feiyang Jia; Zhineng Chen; Ziying Song; Lin Liu; Caiyan Jia (CoRR, 2024)

SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition. - Yongkun Du; Zhineng Chen; Hongtao Xie; Caiyan Jia; Yu-Gang Jiang 001 (CoRR, 2024)

Adversarially deep interative-fused embedding clustering via joint self-supervised networks. - Yafang Li; Xiumin Lin; Caiyan Jia; Baokai Zu; Shaotao Zhu (Neurocomputing, 2024)

A debiased self-training framework with graph self-supervised pre-training aided for semi-supervised rumor detection. - Yuhan Qiao; Chaoqun Cui; Yiying Wang; Caiyan Jia (Neurocomputing, 2024)

Attributed graph clustering under the contrastive mechanism with cluster-preserving augmentation. - Yimei Zheng; Caiyan Jia; Jian Yu 001 (Inf. Sci., 2024)

SAMGAT: structure-aware multilevel graph attention networks for automatic rumor detection. - Yafang Li; Zhihua Chu; Caiyan Jia; Baokai Zu (PeerJ Comput. Sci., 2024)

SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-Based 3-D Object Detection. - Lin Liu; Ziying Song; Qiming Xia; Feiyang Jia; Caiyan Jia; Lei Yang 060; Yan Gong; Hongyu Pan (IEEE Trans. Geosci. Remote. Sens., 2024)

Pathological image super-resolution using mix-attention generative adversarial network. - Zhineng Chen; Jing Wang; Caiyan Jia; Xiongjun Ye (Int. J. Mach. Learn. Cybern., 2024)

GraphAlign++: An Accurate Feature Alignment by Graph Matching for Multi-Modal 3D Object Detection. - Ziying Song; Caiyan Jia; Lei Yang 060; Haiyue Wei; Lin Liu (IEEE Trans. Circuits Syst. Video Technol., 2024)

ProtoMGAE: Prototype-Aware Masked Graph Auto-Encoder for Graph Representation Learning. - Yimei Zheng; Caiyan Jia (ACM Trans. Knowl. Discov. Data, 2024)

Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook. - Ziying Song; Lin Liu; Feiyang Jia; Yadan Luo; Caiyan Jia; Guoxin Zhang; Lei Yang 060; Li Wang 092 (IEEE Trans. Intell. Transp. Syst., 2024)

Out of Length Text Recognition with Sub-String Matching. - Yongkun Du; Zhineng Chen; Caiyan Jia; Xieping Gao; Yu-Gang Jiang 001 (AAAI, 2025)

Towards Real-World Rumor Detection: Anomaly Detection Framework with Graph Supervised Contrastive Learning. - Chaoqun Cui; Caiyan Jia (COLING, 2025)

Enhancing Rumor Detection Methods with Propagation Structure Infused Language Model. - Chaoqun Cui; Siyuan Li; Kunkun Ma; Caiyan Jia (COLING, 2025)

Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving. - Ziying Song; Caiyan Jia; Lin Liu; Hongyu Pan; Yongchang Zhang; Junming Wang; Xingyu Zhang; Shaoqing Xu; Lei Yang 060; Yadan Luo (CVPR, 2025)

GUIDE: Learnable Deep Contrastive Graph Clustering with Centrality Guidance. - Yafang Li; Xiaohan Li; Baokai Zu; Caiyan Jia (ICIC (21), 2025)

Contrastive learning of adaptive social information fusion for recommender systems. - Yafang Li; Chenda Li; Caiyan Jia; Baokai Zu; Hongyuan Wang (Neurocomputing, 2025)

Few-shot learning with distribution calibration for event-level rumor detection. - Hongyan Ran; Caiyan Jia; Xiaohong Li; Zhichang Zhang (Neurocomputing, 2025)

Attention-based Graph Clustering Network with Dual Information Interaction. - Xiumin Lin; Yafang Li; Caiyan Jia; Baokai Zu; Wanting Zhu (Knowl. Based Syst., 2025)

Two Tasks, One Goal: Uniting Motion and Planning for Excellent End To End Autonomous Driving Performance. - Lin Liu; Ziying Song; Hongyu Pan; Lei Yang 060; Caiyan Jia (CoRR, 2025)

Instruction-Guided Scene Text Recognition. - Yongkun Du; Zhineng Chen; Yuchen Su; Caiyan Jia; Yu-Gang Jiang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Context Perception Parallel Decoder for Scene Text Recognition. - Yongkun Du; Zhineng Chen; Caiyan Jia; Xiaoting Yin; Chenxia Li; Yuning Du; Yu-Gang Jiang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Breaking Imitation Bottlenecks: Reinforced Diffusion Powers Diverse Trajectory Generation. - Ziying Song; Lin Liu; Hongyu Pan; Bencheng Liao; Mingzhe Guo; Lei Yang 060; Yongchang Zhang; Shaoqing Xu; Caiyan Jia; Yadan Luo (CoRR, 2025)

Graph Representation Learning with Massive Unlabeled Data for Rumor Detection. - Chaoqun Cui; Caiyan Jia (CoRR, 2025)

Unsupervised contrastive domain adaptive rumor detection with test-time classifier adjustment. - Hongyan Ran; Di Zhang; Xiaohong Li; Huifang Ma; Caiyan Jia; Yaogong Feng (Inf. Process. Manag., 2026)