Wei Ju

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 70

Top Topics

Hierarchically Structured

Graph Classification

Top Venues

Neural Networks

Publications

Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
A Diffusion Model for POI Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. CoRR (2024)
Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang
A Survey of Data-Efficient Graph Learning. CoRR (2024)
Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang
Focus on informative graphs! Semi-supervised active learning for graph-level classification. Pattern Recognit. 153 (2024)
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
Hypergraph-enhanced Dual Semi-supervised Graph Classification. CoRR (2024)
Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. ACM Trans. Multim. Comput. Commun. Appl. 20 (3) (2024)
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. CoRR (2024)
Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
Towards Semi-Supervised Universal Graph Classification. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang
A Comprehensive Survey on Deep Graph Representation Learning. Neural Networks 173 (2024)
Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
Learning Graph ODE for Continuous-Time Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. Inf. Fusion 107 (2024)
Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang
Towards Graph Contrastive Learning: A Survey and Beyond. CoRR (2024)
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR (2024)
Wei Ju, Siyu Yi, Ming Zhang
Evidential Self-Supervised Graph Representation Learning via Prototype-based Consistency. ACM TUR-C (2024)
Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang
A Survey on Graph Neural Networks in Intelligent Transportation Systems. CoRR (2024)
Yifang Qin, Wei Ju, Xiao Luo, Yiyang Gu, Zhiping Xiao, Ming Zhang
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering. CoRR (2024)
Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning. CoRR (2024)
Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling. CoRR (2024)
Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. CoRR (2023)
Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. ICDE (2023)
Xindi Wang, Xinyu Liu, Jianjian Wu, Wei Ju, Xiaojing Chen, Ling Shen
Joint User Scheduling, Power Configuration and Trajectory Planning Strategy for UAV-Aided WSNs. ACM Trans. Sens. Networks 19 (1) (2023)
Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. WSDM (2023)
Wei Ju, Aidan McConnell-Trevillion, Sadeque Reza Khan, Kianoush Nazarpour, Srinjoy Mitra
A Feasibility Study on Textile Electrodes for Transcutaneous Electrical Nerve Stimulation. NEWCAS (2023)
Wei Ju, Yiyang Gu, Xiao Luo, Yi-Fan Wang, Haochen Yuan, Huasong Zhong, Ming Zhang
Unsupervised graph-level representation learning with hierarchical contrasts. Neural Networks 158 (2023)
Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics. CoRR (2023)
Siyu Yi, Zhengyang Mao, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. CoRR (2023)
Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs. Neural Networks 163 (2023)
Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang
A Comprehensive Survey on Deep Graph Representation Learning. CoRR (2023)
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
GLCC: A General Framework for Graph-Level Clustering. AAAI (2023)
Chengwu Liu, Jianhao Shen, Huajian Xin, Zhengying Liu, Ye Yuan, Haiming Wang, Wei Ju, Chuanyang Zheng, Yichun Yin, Lin Li, Ming Zhang, Qun Liu
FIMO: A Challenge Formal Dataset for Automated Theorem Proving. CoRR (2023)
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification. Trans. Mach. Learn. Res. 2023 (2023)
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
TGNN: A Joint Semi-supervised Framework for Graph-level Classification. CoRR (2023)
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
Towards Semi-supervised Universal Graph Classification. CoRR (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. ACM Multimedia (2023)
Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. CoRR (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
Learning on Graphs under Label Noise. ICASSP (2023)
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. ACM Multimedia (2023)
Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang
Zero-shot Node Classification with Graph Contrastive Embedding Network. Trans. Mach. Learn. Res. 2023 (2023)
Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. IEEE Trans. Big Data 9 (6) (2023)
Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
A Diffusion model for POI recommendation. CoRR (2023)
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
Learning Graph ODE for Continuous-Time Sequential Recommendation. CoRR (2023)
Bin Feng, Tenglong Ao, Zequn Liu, Wei Ju, Libin Liu, Ming Zhang
Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data. CoRR (2023)
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. CoRR (2023)
Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
HOPE: High-order Graph ODE For Modeling Interacting Dynamics. ICML (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
Learning on Graphs under Label Noise. CoRR (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. CoRR (2023)
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
Kernel-based Substructure Exploration for Next POI Recommendation. CoRR (2022)
Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. WSDM (2022)
Wei Ju, Xiao Luo, Zeyu Ma, Junwei Yang, Minghua Deng, Ming Zhang
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification. Neural Networks 151 (2022)
Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation. AAAI (2022)
Tao Wang, Changhua Lu, Wei Ju, Chun Liu
Imbalanced heartbeat classification using EasyEnsemble technique and global heartbeat information. Biomed. Signal Process. Control. 71 (Part) (2022)
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
Kernel-based Substructure Exploration for Next POI Recommendation. ICDM (2022)
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
TGNN: A Joint Semi-supervised Framework for Graph-level Classification. IJCAI (2022)
Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. ICDE (2022)
Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. CoRR (2022)
Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. CoRR (2022)
Xueyan Zhang, Xiaohu Zhou, Qiao Wang, Hui Zhang, Wei Ju
Networks open the door to the success of technological entrepreneurship: a perspective on political skills. Kybernetes 51 (12) (2022)
Zeyu Ma, Wei Ju, Xiao Luo, Chong Chen, Xian-Sheng Hua, Guangming Lu
Improved Deep Unsupervised Hashing via Prototypical Learning. ACM Multimedia (2022)
Yiping Song, Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, Zheng Xie
Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data. ICONIP (3) (2022)
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
GLCC: A General Framework for Graph-level Clustering. CoRR (2022)
Weinan Wang, Yuhang Guo, Wei Ju, Xiao Luo, Minghua Deng
An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability. ICTAI (2021)
Wei Ju, Wenxin Jiang
A Note on Comparison of F-measures. CoRR (2021)
Xiao Luo, Yuhang Guo, Zeyu Ma, Huasong Zhong, Tao Li, Wei Ju, Chong Chen, Minghua Deng
Deep Supervised Hashing by Classification for Image Retrieval. ICONIP (4) (2021)
Feng Hong, Changhua Lu, Chun Liu, Ru-Ru Liu, Weiwei Jiang, Wei Ju, Tao Wang
PGNet: Pipeline Guidance for Human Key-Point Detection. Entropy 22 (3) (2020)
Ivica Kopriva, Wei Ju, Bin Zhang, Fei Shi, Dehui Xiang, Kai Yu, Ximing Wang, Ulas Bagci, Xinjian Chen
Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images. IEEE J. Biomed. Health Informatics 21 (6) (2017)
Wei Ju, Dehui Xiang, Bin Zhang, Lirong Wang, Ivica Kopriva, Xinjian Chen
Correction to "Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images". IEEE Trans. Image Process. 25 (3) (2016)
Wei Ju, Dehui Xiang, Bin Zhang, Xinjian Chen
Graph cut based co-segmentation of lung tumor in PET-CT images. Medical Imaging: Image Processing (2015)
Wei Ju, Deihui Xiang, Bin Zhang, Lirong Wang, Ivica Kopriva, Xinjian Chen
Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images. IEEE Trans. Image Process. 24 (12) (2015)