Wei Ju

According to our database, Wei Ju authored at least 63 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation.

Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Zhiping Xiao, Yusheng Zhao, Jingyang Yuan, Ming Zhang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learning Graph ODE for Continuous-Time Sequential Recommendation.

Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang

IEEE Trans. Knowl. Data Eng., July, 2024

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.

Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang

ACM Trans. Multim. Comput. Commun. Appl., March, 2024

A Diffusion Model for POI Recommendation.

Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang

ACM Trans. Inf. Syst., March, 2024

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.

Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang

ACM Trans. Knowl. Discov. Data, February, 2024

CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.

Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Towards Semi-Supervised Universal Graph Classification.

Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang

IEEE Trans. Knowl. Data Eng., January, 2024

Focus on informative graphs! Semi-supervised active learning for graph-level classification.

Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang

Pattern Recognit., 2024

A Comprehensive Survey on Deep Graph Representation Learning.

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

Neural Networks, 2024

Poisoning medical knowledge using large language models.

Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang

Nat. Mac. Intell., 2024

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.

Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang

Inf. Fusion, 2024

SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation.

Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang

CoRR, 2024

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning.

Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju

CoRR, 2024

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.

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

CoRR, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.

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

CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.

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

CoRR, 2024

GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling.

Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang

CoRR, 2024

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.

Yifang Qin, Wei Ju, Xiao Luo, Yiyang Gu, Zhiping Xiao, Ming Zhang

CoRR, 2024

A Survey on Graph Neural Networks in Intelligent Transportation Systems.

Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang

CoRR, 2024

A Survey of Data-Efficient Graph Learning.

Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Rank and Align: Towards Effective Source-free Graph Domain Adaptation.

Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Hypergraph-enhanced Dual Semi-supervised Graph Classification.

Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PGODE: Towards High-quality System Dynamics Modeling.

Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MOAT: Graph Prompting for 3D Molecular Graphs.

Qingqing Long, Yuchen Yan, Wentao Cui, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Evidential Self-Supervised Graph Representation Learning via Prototype-based Consistency.

Wei Ju, Siyu Yi, Ming Zhang

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

2023

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.

Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang

IEEE Trans. Big Data, December, 2023

Joint User Scheduling, Power Configuration and Trajectory Planning Strategy for UAV-Aided WSNs.

Xindi Wang, Xinyu Liu, Jianjian Wu, Wei Ju, Xiaojing Chen, Ling Shen

ACM Trans. Sens. Networks, February, 2023

Unsupervised graph-level representation learning with hierarchical contrasts.

Wei Ju, Yiyang Gu, Xiao Luo, Yifan Wang, Haochen Yuan, Huasong Zhong, Ming Zhang

Neural Networks, January, 2023

Zero-shot Node Classification with Graph Contrastive Embedding Network.

Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang

Trans. Mach. Learn. Res., 2023

RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.

Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

Trans. Mach. Learn. Res., 2023

Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.

Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang

Neural Networks, 2023

Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.

Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun

CoRR, 2023

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.

Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang

CoRR, 2023

FIMO: A Challenge Formal Dataset for Automated Theorem Proving.

Chengwu Liu, Jianhao Shen, Huajian Xin, Zhengying Liu, Ye Yuan, Haiming Wang, Wei Ju, Chuanyang Zheng, Yichun Yin, Lin Li, Ming Zhang, Qun Liu

CoRR, 2023

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.

Siyu Yi, Zhengyang Mao, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo, Ming Zhang

CoRR, 2023

A Comprehensive Survey on Deep Graph Representation Learning.

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

CoRR, 2023

Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data.

Bin Feng, Tenglong Ao, Zequn Liu, Wei Ju, Libin Liu, Ming Zhang

CoRR, 2023

DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation.

Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Feasibility Study on Textile Electrodes for Transcutaneous Electrical Nerve Stimulation.

Wei Ju, Aidan McConnell-Trevillion, Sadeque Reza Khan, Kianoush Nazarpour, Srinjoy Mitra

Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023

ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.

Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.

Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

HOPE: High-order Graph ODE For Modeling Interacting Dynamics.

Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

Proceedings of the International Conference on Machine Learning, 2023

Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.

Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Learning on Graphs under Label Noise.

Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

GLCC: A General Framework for Graph-Level Clustering.

Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.

Wei Ju, Xiao Luo, Zeyu Ma, Junwei Yang, Minghua Deng, Ming Zhang

Neural Networks, 2022

Networks open the door to the success of technological entrepreneurship: a perspective on political skills.

Xueyan Zhang, Xiaohu Zhou, Qiao Wang, Hui Zhang, Wei Ju

Kybernetes, 2022

Imbalanced heartbeat classification using EasyEnsemble technique and global heartbeat information.

Tao Wang, Changhua Lu, Wei Ju, Chun Liu

Biomed. Signal Process. Control., 2022

KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification.

Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Improved Deep Unsupervised Hashing via Prototypical Learning.

Zeyu Ma, Wei Ju, Xiao Luo, Chong Chen, Xian-Sheng Hua, Guangming Lu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

TGNN: A Joint Semi-supervised Framework for Graph-level Classification.

Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data.

Yiping Song, Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, Zheng Xie

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Kernel-based Substructure Exploration for Next POI Recommendation.

Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang

Proceedings of the IEEE International Conference on Data Mining, 2022

DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning.

Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation.

Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Note on Comparison of F-measures.

Wei Ju, Wenxin Jiang

CoRR, 2021

An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability.

Weinan Wang, Yuhang Guo, Wei Ju, Xiao Luo, Minghua Deng

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Deep Supervised Hashing by Classification for Image Retrieval.

Xiao Luo, Yuhang Guo, Zeyu Ma, Huasong Zhong, Tao Li, Wei Ju, Chong Chen, Minghua Deng

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

PGNet: Pipeline Guidance for Human Key-Point Detection.

Feng Hong, Changhua Lu, Chun Liu, Ru-Ru Liu, Weiwei Jiang, Wei Ju, Tao Wang

Entropy, 2020

2017

Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images.

Ivica Kopriva, Wei Ju, Bin Zhang, Fei Shi, Dehui Xiang, Kai Yu, Ximing Wang, Ulas Bagci, Xinjian Chen

IEEE J. Biomed. Health Informatics, 2017

2016

Correction to "Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images".

Wei Ju, Dehui Xiang, Bin Zhang, Lirong Wang, Ivica Kopriva, Xinjian Chen

IEEE Trans. Image Process., 2016

2015

Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images.

Wei Ju, Deihui Xiang, Bin Zhang, Lirong Wang, Ivica Kopriva, Xinjian Chen

IEEE Trans. Image Process., 2015

Graph cut based co-segmentation of lung tumor in PET-CT images.

Wei Ju, Dehui Xiang, Bin Zhang, Xinjian Chen

Proceedings of the Medical Imaging 2015: Image Processing, 2015