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Jia Wu 0001
Person information
- affiliation: Macquarie University, Sydney, Australia
- affiliation: China University of Geosciences, Wuhan, China
- affiliation (PhD): University of Technology Sydney, Ultimo, Australia
Other persons with the same name
- Jia Wu — disambiguation page
- Jia Wu 0002
— Central South University, School of Software, Changsha, China
- Jia Wu 0003 — University of Washington, Department of Electrical Engineering and Computer Science and Engineering, Seattle, WA, USA
- Jia Wu 0004 — University of Salford, School of Computing Science and Engineering, UK (and 1 more)
- Jia Wu 0005
— University of Electronic Science and Technology of China, School of Information and Software Engineering, Chengdu, China (and 1 more)
- Jia Wu 0006 — Central South University, School of Information Science and Engineering, Changsha, China
- Jia Wu 0007
— Dalian University of Technology, School of Mathematical Sciences, China
- Jia Wu 0008 — University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA
- Jia Wu 0009
— University of Texas MD Anderson Cancer Center, Department of Imaging Physics, Department of Thoracic/Head and Neck Medical Oncology, Houston, TX, USA (and 1 more)
- Jia Wu 0010
— Nanjing University of Finance and Economics, School of Information Engineering, China
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2020 – today
- 2025
- [j181]Zhenyu Yang
, Ge Zhang
, Jia Wu
, Jian Yang
, Quan Z. Sheng
, Shan Xue
, Chuan Zhou
, Charu Aggarwal
, Hao Peng
, Wenbin Hu
, Edwin R. Hancock
, Pietro Liò
:
State of the Art and Potentialities of Graph-level Learning. ACM Comput. Surv. 57(2): 28:1-28:40 (2025) - [j180]Sheng Zhou
, Hongjia Xu
, Zhuonan Zheng
, Jiawei Chen
, Zhao Li
, Jiajun Bu
, Jia Wu
, Xin Wang
, Wenwu Zhu
, Martin Ester
:
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. ACM Comput. Surv. 57(3): 69:1-69:38 (2025) - [j179]Zheng Gao
, Danfeng Sun, Kai Wang, Jia Wu, Huifeng Wu
:
A protocol generation model for protocol-unknown IoT devices. Future Gener. Comput. Syst. 166: 107638 (2025) - [j178]Chuang Liu
, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Wenbin Hu, Bo Du:
Graph explicit pooling for graph-level representation learning. Neural Networks 181: 106790 (2025) - [j177]Jin Fan
, Wenchao Weng
, Qikai Chen, Huifeng Wu, Jia Wu:
PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction. Neural Networks 183: 106941 (2025) - [j176]Mukun Chen, Xiuwen Gong
, Shirui Pan
, Jia Wu, Fu Lin, Bo Du, Wenbin Hu:
Unified Knowledge-Guided Molecular Graph Encoder with multimodal fusion and multi-task learning. Neural Networks 184: 107068 (2025) - [j175]Zitai Qiu, Jia Wu, Jian Yang, Xing Su, Charu C. Aggarwal:
Heterogeneous Social Event Detection via Hyperbolic Graph Representations. IEEE Trans. Big Data 11(1): 115-129 (2025) - [j174]Guangjie Zeng
, Hao Peng
, Angsheng Li
, Jia Wu
, Chunyang Liu
, Philip S. Yu
:
Scalable Semi-Supervised Clustering via Structural Entropy With Different Constraints. IEEE Trans. Knowl. Data Eng. 37(1): 478-492 (2025) - [j173]Xiaoxiao Ma, Fanzhen Liu, Jia Wu, Jian Yang, Shan Xue, Quan Z. Sheng:
Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives. IEEE Trans. Knowl. Data Eng. 37(2): 881-895 (2025) - [e7]Quan Z. Sheng
, Gill Dobbie
, Jing Jiang
, Xuyun Zhang
, Wei Emma Zhang
, Yannis Manolopoulos
, Jia Wu
, Wathiq Mansoor
, Congbo Ma
:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15387, Springer 2025, ISBN 978-981-96-0810-2 [contents] - [e6]Quan Z. Sheng
, Gill Dobbie
, Jing Jiang
, Xuyun Zhang
, Wei Emma Zhang
, Yannis Manolopoulos
, Jia Wu
, Wathiq Mansoor
, Congbo Ma
:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15388, Springer 2025, ISBN 978-981-96-0813-3 [contents] - [e5]Quan Z. Sheng
, Gill Dobbie
, Jing Jiang
, Xuyun Zhang
, Wei Emma Zhang
, Yannis Manolopoulos
, Jia Wu
, Wathiq Mansoor
, Congbo Ma
:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15389, Springer 2025, ISBN 978-981-96-0820-1 [contents] - [e4]Quan Z. Sheng
, Gill Dobbie
, Jing Jiang
, Xuyun Zhang
, Wei Emma Zhang
, Yannis Manolopoulos
, Jia Wu
, Wathiq Mansoor
, Congbo Ma
:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15390, Springer 2025, ISBN 978-981-96-0839-3 [contents] - [e3]Quan Z. Sheng
, Gill Dobbie
, Jing Jiang
, Xuyun Zhang
, Wei Emma Zhang
, Yannis Manolopoulos
, Jia Wu
, Wathiq Mansoor
, Congbo Ma
:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15391, Springer 2025, ISBN 978-981-96-0846-1 [contents] - [e2]Quan Z. Sheng
, Gill Dobbie
, Jing Jiang
, Xuyun Zhang
, Wei Emma Zhang
, Yannis Manolopoulos
, Jia Wu
, Wathiq Mansoor
, Congbo Ma
:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15392, Springer 2025, ISBN 978-981-96-0849-2 [contents] - 2024
- [j172]Danfeng Sun
, Junjie Hu
, Huifeng Wu
, Jia Wu
, Jian Yang
, Quan Z. Sheng
, Schahram Dustdar
:
A Comprehensive Survey on Collaborative Data-access Enablers in the IIoT. ACM Comput. Surv. 56(2): 50:1-50:37 (2024) - [j171]Lingfeng Zhong
, Jia Wu
, Qian Li
, Hao Peng
, Xindong Wu
:
A Comprehensive Survey on Automatic Knowledge Graph Construction. ACM Comput. Surv. 56(4): 94:1-94:62 (2024) - [j170]Jia Wu, Yang Yan
, Yahui Liu:
Collaborative control of path tracking and roll stability in intelligent commercial vehicle: A minimax robust regulator based on Nash game. Eng. Appl. Artif. Intell. 133: 108321 (2024) - [j169]Jiarun Fu, Rong Gao
, Yonghong Yu, Jia Wu, Jing Li, Donghua Liu, Zhiwei Ye:
Contrastive graph learning long and short-term interests for POI recommendation. Expert Syst. Appl. 238(Part B): 121931 (2024) - [j168]Xiaosai Huang
, Jing Li
, Jia Wu, Jun Chang, Donghua Liu, Kai Zhu
:
Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis. Inf. Process. Manag. 61(2): 103630 (2024) - [j167]Yiran Li, Qihua Liu, Jia Wu
:
Unveiling the secrets of online consumer choice: A deep learning algorithmic approach to evaluate and predict purchase decisions through EEG responses. Inf. Process. Manag. 61(2): 103671 (2024) - [j166]Beihang Song
, Jing Li
, Jia Wu
, Shan Xue
, Jun Chang, Jun Wan:
Single-stage oriented object detection via Corona Heatmap and Multi-stage Angle Prediction. Knowl. Based Syst. 295: 111815 (2024) - [j165]Hao Peng, Jia Wu, Jiaxu Cui, Philip S. Yu:
Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems. Int. J. Mach. Learn. Cybern. 15(1): 1-2 (2024) - [j164]Chao-Chao Chen, Fei Zheng, Jamie Cui, Yuwei Cao, Guanfeng Liu
, Jia Wu
, Jun Zhou:
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications. Int. J. Mach. Learn. Cybern. 15(8): 3513-3532 (2024) - [j163]Jin Fan
, Wenchao Weng
, Hao Tian, Huifeng Wu
, Fu Zhu
, Jia Wu
:
RGDAN: A random graph diffusion attention network for traffic prediction. Neural Networks 172: 106093 (2024) - [j162]Kuang Gao, Chuang Liu
, Jia Wu
, Bo Du, Wenbin Hu:
Towards a better negative sampling strategy for dynamic graphs. Neural Networks 173: 106175 (2024) - [j161]Chuang Liu
, Yibing Zhan, Xueqi Ma, Liang Ding
, Dapeng Tao, Jia Wu
, Wenbin Hu, Bo Du:
Exploring sparsity in graph transformers. Neural Networks 174: 106265 (2024) - [j160]Qian Li, Jianxin Li
, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu
:
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. Neural Networks 179: 106479 (2024) - [j159]Jin Fan
, Yan Ge
, Xinyi Zhang, Zheyu Wang, Huifeng Wu, Jia Wu:
Learning the feature distribution similarities for online time series anomaly detection. Neural Networks 180: 106638 (2024) - [j158]Tong Liu
, Jing Li, Jia Wu
, Bo Du, Jun Wan, Jun Chang:
Confusable facial expression recognition with geometry-aware conditional network. Pattern Recognit. 148: 110174 (2024) - [j157]Yi Wang, Changqin Huang
, Ming Li
, Qionghao Huang
, Xuemei Wu, Jia Wu
:
AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs. Pattern Recognit. 151: 110387 (2024) - [j156]Jin Fan, Yuxiang Ji, Huifeng Wu, Yan Ge, Danfeng Sun, Jia Wu:
An unsupervised video anomaly detection method via Optical Flow decomposition and Spatio-Temporal feature learning. Pattern Recognit. Lett. 185: 239-246 (2024) - [j155]Zehao Wang
, Jin Fan
, Huifeng Wu
, Danfeng Sun
, Jia Wu
:
Representing Multiview Time-Series Graph Structures for Multivariate Long-Term Time-Series Forecasting. IEEE Trans. Artif. Intell. 5(6): 2651-2662 (2024) - [j154]Nasrin Shabani
, Jia Wu
, Amin Beheshti
, Quan Z. Sheng
, Jin Foo
, Venus Haghighi
, Ambreen Hanif
, Maryam Shahabikargar
:
A Comprehensive Survey on Graph Summarization With Graph Neural Networks. IEEE Trans. Artif. Intell. 5(8): 3780-3800 (2024) - [j153]Yufei Liu
, Jia Wu
, Jie Cao
:
SBP-GCA: Social Behavior Prediction via Graph Contrastive Learning With Attention. IEEE Trans. Artif. Intell. 5(9): 4708-4722 (2024) - [j152]Malik Khizar Hayat
, Shan Xue
, Jia Wu
, Jian Yang
:
Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks. IEEE Trans. Artif. Intell. 5(11): 5465-5477 (2024) - [j151]Xiang Huang
, Hao Peng
, Dongcheng Zou
, Zhiwei Liu
, Jianxin Li
, Kay Liu
, Jia Wu
, Jianlin Su
, Philip S. Yu
:
CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2800-2813 (2024) - [j150]Bingbing Xie
, Xiaoxiao Ma
, Jia Wu
, Jian Yang
, Hao Fan:
Knowledge Graph Enhanced Heterogeneous Graph Neural Network for Fake News Detection. IEEE Trans. Consumer Electron. 70(1): 2826-2837 (2024) - [j149]Nasrin Shabani
, Amin Beheshti
, Alireza Jolfaei
, Jia Wu
, Venus Haghighi
, Maryam Khanian Najafabadi
, Jin Foo
:
Attention-Based Graph Summarization for Large-Scale Information Retrieval. IEEE Trans. Consumer Electron. 70(3): 6224-6235 (2024) - [j148]Beihang Song, Jing Li, Jia Wu, Jun Chang, Jun Wan:
Direction Prediction Redefinition: Transfer Angle to Scale in Oriented Object Detection. IEEE Trans. Circuits Syst. Video Technol. 34(12): 12894-12906 (2024) - [j147]Jia Wu, Jian Yang, Philip S. Yu, Carlo Condo:
Special Section on Community Detection in Time-Varying Information and Computing Networks: Theory, Models, and Applications. IEEE Trans. Emerg. Top. Comput. 12(2): 402 (2024) - [j146]Tianpeng Liu, Jing Li, Jia Wu, Lefei Zhang, Jun Chang, Jun Wan, Lezhi Lian:
Tracking With Saliency Region Transformer. IEEE Trans. Image Process. 33: 285-296 (2024) - [j145]Jiaqian Ren
, Hao Peng
, Lei Jiang
, Zhifeng Hao
, Jia Wu
, Shengxiang Gao
, Zhengtao Yu
, Qiang Yang:
Toward Cross-Lingual Social Event Detection with Hybrid Knowledge Distillation. ACM Trans. Knowl. Discov. Data 18(9): 229:1-229:36 (2024) - [j144]Xixun Lin
, Chuan Zhou
, Jia Wu
, Lixin Zou
, Shirui Pan
, Yanan Cao
, Bin Wang
, Shuaiqiang Wang
, Dawei Yin
:
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 36(4): 1815-1828 (2024) - [j143]Jiaqian Ren
, Hao Peng
, Lei Jiang
, Zhiwei Liu
, Jia Wu
, Zhengtao Yu
, Philip S. Yu
:
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection. IEEE Trans. Knowl. Data Eng. 36(6): 2701-2715 (2024) - [j142]Yuyao Wang
, Jie Cao
, Youquan Wang
, Jia Wu
, Yangyang Liu
:
Position Matters: Play a Sequential Game to Detect Significant Communities. IEEE Trans. Knowl. Data Eng. 36(7): 3402-3416 (2024) - [j141]Haibo Wang
, Chuan Zhou
, Xin Chen
, Jia Wu
, Shirui Pan
, Zhao Li
, Jilong Wang
, Philip S. Yu
:
Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36(11): 6344-6357 (2024) - [j140]Xin Zhang
, Zengmao Wang
, Bo Du
, Jia Wu
, Xiao Zhang, Erli Meng:
Deep Session Heterogeneity-Aware Network for Click Through Rate Prediction. IEEE Trans. Knowl. Data Eng. 36(12): 7927-7939 (2024) - [j139]Xuexiong Luo
, Sheng Zhang
, Jia Wu
, Hongyang Chen
, Hao Peng
, Chuan Zhou
, Zhao Li
, Shan Xue
, Jian Yang
:
ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning. IEEE Trans. Knowl. Data Eng. 36(12): 9109-9122 (2024) - [j138]Zhenchang Xia
, Nan Dong
, Jia Wu
, Chuanguo Ma
:
Multivariate Knowledge Tracking Based on Graph Neural Network in ASSISTments. IEEE Trans. Learn. Technol. 17: 32-43 (2024) - [j137]Tim Chard, Mark Dras, Paul F. Sowman, Steve Cassidy, Jia Wu:
Temporally Rich Deep Learning Models for Magnetoencephalography. Trans. Mach. Learn. Res. 2024 (2024) - [j136]Xing Su
, Shan Xue
, Fanzhen Liu
, Jia Wu
, Jian Yang
, Chuan Zhou
, Wenbin Hu
, Cécile Paris, Surya Nepal
, Di Jin
, Quan Z. Sheng
, Philip S. Yu
:
A Comprehensive Survey on Community Detection With Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4682-4702 (2024) - [j135]Qian Li
, Jianxin Li
, Jiawei Sheng
, Shiyao Cui
, Jia Wu
, Yiming Hei
, Hao Peng
, Shu Guo, Lihong Wang, Amin Beheshti
, Philip S. Yu
:
A Survey on Deep Learning Event Extraction: Approaches and Applications. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6301-6321 (2024) - [j134]Xuelian Ni
, Fei Xiong
, Shirui Pan
, Jia Wu
, Liang Wang
, Hongshu Chen
:
Community Preserving Social Recommendation with Cyclic Transfer Learning. ACM Trans. Inf. Syst. 42(3): 67:1-67:36 (2024) - [j133]Hao Peng
, Jian Yang
, Jia Wu
, Philip S. Yu
:
Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 2. ACM Trans. Web 18(2): 16:1-16:2 (2024) - [j132]Zhengyun Zhou, Guojia Wan, Shirui Pan, Jia Wu, Wenbin Hu, Bo Du:
Complex query answering over knowledge graphs foundation model using region embeddings on a lie group. World Wide Web (WWW) 27(3): 23 (2024) - [j131]Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu
, Shirui Pan:
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. World Wide Web (WWW) 27(3): 32 (2024) - [c143]Xing Su
, Yuchen Zhang
, Jian Yang
, Jia Wu
:
Emotion Graph Augmentation for Detecting Fake News in Online Social Networks. ADMA (3) 2024: 50-65 - [c142]Xin Cao, He Luo, Guoqiang Wang, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti:
BiF-AC: A Bidirectional Feedback Actor-Critic Framework for UAV-UGV Graph-Based Search and Rescue Operations. ADMA (3) 2024: 66-81 - [c141]Nasrin Shabani
, Amin Beheshti
, Jia Wu
, Maryam Khanian Najafabadi
, Jin Foo, Alireza Jolfaei
:
GraphSUM: Scalable Graph Summarization for Efficient Question Answering. EDBT 2024: 794-797 - [c140]Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu, Hao Fan:
On Fake News Detection with LLM Enhanced Semantics Mining. EMNLP 2024: 508-521 - [c139]Zhenchang Xia, Guanqun Zheng, Shengwu Xiong, Jia Wu, Junyin Wang, Chenghu Du:
IFNET: Integrating Data Augmentation and Decoupled Attention Fusion for 3D Object Detection. ICASSP 2024: 9451-9455 - [c138]Fariba Lotfi, Amin Beheshti, Mansour Jamzad, Hamid Beigy, Jia Wu, Philip S. Yu:
The Open Story Model (OSM): Transforming Big Data into Interactive Narratives. ICWS 2024: 1177-1187 - [c137]Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu, Wenbin Hu:
Zero-shot Learning for Preclinical Drug Screening. IJCAI 2024: 2117-2125 - [c136]Kun Li, Xiuwen Gong, Jia Wu, Wenbin Hu:
Contrastive Learning Drug Response Models from Natural Language Supervision. IJCAI 2024: 2126-2134 - [c135]Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu:
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. IJCAI 2024: 2180-2188 - [c134]Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. IJCAI 2024: 8170-8178 - [c133]Xiaoxiao Ma
, Ruikun Li
, Fanzhen Liu
, Kaize Ding
, Jian Yang
, Jia Wu
:
Graph Anomaly Detection with Few Labels: A Data-Centric Approach. KDD 2024: 2153-2164 - [c132]Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral:
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification. MICCAI (10) 2024: 229-239 - [c131]Xuexiong Luo
, Guangwei Dong
, Jia Wu
, Amin Beheshti
, Jian Yang
, Shan Xue
:
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis. WSDM 2024: 1074-1077 - [c130]Yuchen Zhang
, Xiaoxiao Ma
, Jia Wu
, Jian Yang
, Hao Fan
:
Heterogeneous Subgraph Transformer for Fake News Detection. WWW 2024: 1272-1282 - [c129]Zitai Qiu
, Congbo Ma
, Jia Wu
, Jian Yang
:
An Efficient Automatic Meta-Path Selection for Social Event Detection via Hyperbolic Space. WWW 2024: 2519-2529 - [i63]Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan:
Heterogeneous Subgraph Transformer for Fake News Detection. CoRR abs/2404.13192 (2024) - [i62]Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu:
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. CoRR abs/2404.15806 (2024) - [i61]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du:
Hi-GMAE: Hierarchical Graph Masked Autoencoders. CoRR abs/2405.10642 (2024) - [i60]Kun Li, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu:
Regressor-free Molecule Generation to Support Drug Response Prediction. CoRR abs/2405.14536 (2024) - [i59]Hongzhi Zhang, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu:
A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction. CoRR abs/2405.14545 (2024) - [i58]Zelin Yao, Chuang Liu, Xueqi Ma, Mukun Chen, Jia Wu, Xiantao Cai, Bo Du, Wenbin Hu:
Dual-perspective Cross Contrastive Learning in Graph Transformers. CoRR abs/2406.00403 (2024) - [i57]Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. CoRR abs/2406.02594 (2024) - [i56]Kun Li, Xiantao Cai, Jia Wu, Bo Du, Wenbin Hu:
Fragment-Masked Molecular Optimization. CoRR abs/2408.09106 (2024) - [i55]Yida Xiong, Kun Li, Weiwei Liu, Jia Wu, Bo Du, Shirui Pan, Wenbin Hu:
Text-Guided Multi-Property Molecular Optimization with a Diffusion Language Model. CoRR abs/2410.13597 (2024) - [i54]Zelin Yao, Chuang Liu, Xianke Meng, Yibing Zhan, Jia Wu, Shirui Pan, Wenbin Hu:
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts. CoRR abs/2411.03025 (2024) - [i53]Congbo Ma, Hu Wang, Zitai Qiu, Shan Xue, Jia Wu, Jian Yang, Preslav Nakov, Quan Z. Sheng:
Learning To Sample the Meta-Paths for Social Event Detection. CoRR abs/2411.12588 (2024) - [i52]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Jia Wu, Jian Yang, Michael Sheng, Lina Yao:
Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference. CoRR abs/2411.17361 (2024) - 2023
- [j130]Zehao Wang
, Huifeng Wu, Jin Fan
, Danfeng Sun
, Jia Wu
:
A robust feature reinforcement framework for heterogeneous graphs neural networks. Future Gener. Comput. Syst. 141: 143-153 (2023) - [j129]Naime Ranjbar Kermany
, Weiliang Zhao
, Tseesuren Batsuuri
, Jian Yang
, Jia Wu
:
Incorporating user rating credibility in recommender systems. Future Gener. Comput. Syst. 147: 30-43 (2023) - [j128]Tianpeng Liu, Jing Li, Jia Wu
, Jun Chang, Yafu Xiao, Yan Hong:
Visual tracking with dumbbell selection network. Neurocomputing 516: 77-91 (2023) - [j127]Jin Fan
, Zhentao Liu, Huifeng Wu, Jia Wu
, Zhanyu Si, Peng Hao, Tom H. Luan
:
LUAD: A lightweight unsupervised anomaly detection scheme for multivariate time series data. Neurocomputing 557: 126644 (2023) - [j126]Bentian Li
, Jia Wu
, Dechang Pi
, Yunxia Lin:
Dual Mutual Robust Graph Convolutional Network for Weakly Supervised Node Classification in Social Networks of Internet of People. IEEE Internet Things J. 10(16): 14798-14809 (2023) - [j125]Xingcheng Fu
, Jianxin Li
, Jia Wu
, Jiawen Qin, Qingyun Sun
, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu:
Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. 65(5): 2281-2304 (2023) - [j124]Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu
, Jinyan Wang, Xianxian Li:
Heterogeneous graph neural network with semantic-aware differential privacy guarantees. Knowl. Inf. Syst. 65(10): 4085-4110 (2023) - [j123]Rong Gao
, Yuhe Tao, Yonghong Yu, Jia Wu
, Xiongkai Shao, Jing Li, Zhiwei Ye:
Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation. Knowl. Based Syst. 270: 110528 (2023) - [j122]Qi Huang, Chuan Zhou
, Jia Wu
, Luchen Liu, Bin Wang:
Deep spatial-temporal structure learning for rumor detection on Twitter. Neural Comput. Appl. 35(18): 12995-13005 (2023) - [j121]Chenyan Zhang
, Shan Xue
, Jing Li
, Jia Wu
, Bo Du, Donghua Liu, Jun Chang:
Multi-Aspect enhanced Graph Neural Networks for recommendation. Neural Networks 157: 90-102 (2023) - [j120]Yunbo Tang, Dan Chen, Jia Wu
, Weiping Tu
, Jessica J. M. Monaghan
, Paul F. Sowman
, David McAlpine
:
Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data. Neural Networks 163: 272-285 (2023) - [j119]Yunbo Tang, Dan Chen, Jia Wu, Weiping Tu, Jessica J. M. Monaghan, Paul F. Sowman, David McAlpine:
Corrigendum to "Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data" [Neural Networks 163 (2023) 272-285]. Neural Networks 164: 575 (2023) - [j118]Jin Fan, Zehao Wang
, Huifeng Wu
, Danfeng Sun, Jia Wu
, Xin Lu
:
An Adversarial Time-Frequency Reconstruction Network for Unsupervised Anomaly Detection. Neural Networks 168: 44-56 (2023) - [j117]Wenhang Yu, Xueqi Ma
, James Bailey, Yibing Zhan, Jia Wu
, Bo Du, Wenbin Hu:
Graph structure reforming framework enhanced by commute time distance for graph classification. Neural Networks 168: 539-548 (2023) - [j116]Jianxin Li
, Qingyun Sun
, Hao Peng
, Beining Yang, Jia Wu
, Philip S. Yu
:
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