Jia Wu

485 papers A* 87A 33B 30C 2Misc 1Journal 303Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
A responsive approach to multivariate time-series anomaly detection with K-distance based calibrated reconstruction.
Neurocomputing
Jin Fan, Yanhao Bi, Jin'an Yao, Liangkang Huang, Huifeng Wu, Jia Wu
2026 A conf
Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation.
WSDM
Rongwei Xu, Zitai Qiu, Pengfei Ding, Yan Wang, Jia Wu, Amin Beheshti, Guanfeng Liu
2026 A* conf
Can Molecular Evolution Mechanism Enhance Molecular Representation?
AAAI
Kun Li, Longtao Hu, Jiameng Chen, Hongzhi Zhang, Yida Xiong, Xiantao Cai, Wenbin Hu, Jia Wu
2026 J jnl
Community-Structure Enhanced Brain Graph Mining.
IEEE Trans. Artif. Intell.
Shichen Luo, Xuexiong Luo, Jing Du, Jia Wu, Jian Yang
2026 J jnl
Cost-Minimized Data Edge Access Model for Digital Twin Using Cloud-Edge Collaboration.
IEEE Trans. Netw. Serv. Manag.
Zheng Gao, Danfeng Sun, Jianyong Zhao, Huifeng Wu, Jia Wu
2026 J jnl
DA-MoE: Addressing depth-sensitivity in graph-level analysis through mixture of experts.
Neural Networks
Zelin Yao, Mukun Chen, Chuang Liu, Xianke Meng, Yibing Zhan, Jia Wu, Shirui Pan, Huiting Xu, Wenbin Hu
2026 J jnl
Efficient Oriented Object Detection via Wavelet-Based Energy Label Reassignment and Dual Prediction Strategy.
IEEE Trans. Multim.
Beihang Song, Jing Li, Jia Wu, Jun Chang, Xuefei Li, Jun Wan
2026 J jnl
Generative Causality-Driven Network for Graph Multi-Task Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Xixun Lin, Qing Yu, Yanan Cao, Lixin Zou, Chuan Zhou, Jia Wu, Chenliang Li, Peng Zhang, Shirui Pan
2026 J jnl
Generative Models for Time Series Anomaly Detection: A Survey.
IEEE Trans. Artif. Intell.
Jie Cao, Jiawei Miao, Haicheng Tao, Youquan Wang, Jia Wu, Zidong Wang, Xindong Wu
2026 A* conf
Hi-GMAE: Hierarchical Graph Masked Autoencoders.
WWW
Chuang Liu, Zelin Yao, Xueqi Ma, Mukun Chen, Luzhi Wang, Jia Wu, Wenbin Hu
2026 A* conf
LHG: LLM-enhanced and Heterogeneous Graph-induced for Unsupervised Social Event Detection.
WWW
Zitai Qiu, Rongwei Xu, Congbo Ma, Shan Xue, Jian Yang, Guanfeng Liu, Quan Z. Sheng, Amin Beheshti, Jia Wu
2026 J jnl
Learning From Graph-Graph Relationship: A New Perspective on Graph-Level Anomaly Detection.
IEEE Trans. Knowl. Data Eng.
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Hao Peng, Pietro Lió
2026 J jnl
Learning Subgraph-Based Normality for Interpretable Graph-Level Anomaly Detection.
IEEE Trans. Inf. Forensics Secur.
Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang, Hao Peng, Xixun Lin
2026 A* conf
MARCH: Multi-Teacher Contrastive Hypergraph Distillation.
WWW
Rongwei Xu, Zitai Qiu, Pengfei Ding, Jia Wu, Yan Wang, Amin Beheshti, Guanfeng Liu
2026 A* conf
Modeling Endogenous Logic: Causal Neuro-Symbolic Reasoning Model for Explainable Multi-Behavior Recommendation.
WWW
Yuzhe Chen, Jie Cao, Youquan Wang, Haicheng Tao, Darko B. Vukovic, Jia Wu
2026 J jnl
Modeling Endogenous Logic: Causal Neuro-Symbolic Reasoning Model for Explainable Multi-Behavior Recommendation.
CoRR
Yuzhe Chen, Jie Cao, Youquan Wang, Haicheng Tao, Darko B. Vukovic, Jia Wu
2026 J jnl
Multimodal Visual Surrogate Compression for Alzheimer's Disease Classification.
CoRR
Dexuan Ding, Ciyuan Peng, Endrowednes Kuantama, Jingcai Guo, Jia Wu, Jian Yang, Amin Beheshti, Ming-Hsuan Yang, Yuankai Qi
2026 J jnl
PCEvo: Path-Consistent Molecular Representation via Virtual Evolutionary.
CoRR
Kun Li, Longtao Hu, Yida Xiong, Jiajun Yu, Hongzhi Zhang, Jiameng Chen, Xiantao Cai, Jia Wu, Wenbin Hu
2026 A* conf
PIGCN: Physics-Inspired Graph Convolution Networks for Heterogeneous Social Event Detection.
WWW
Yongsheng Yu, Congbo Ma, Zitai Qiu, Shan Xue, Jian Yang, Jia Wu
2026 J jnl
RDNet: Rotate-Groundtruth Augmentation and Decoupled Attention HEAD for 3D Object Detection.
IEEE Trans. Big Data
Zhenchang Xia, Guanqun Zheng, Shengwu Xiong, Junyin Wang, Jianqun Cui, Yanan Chang, Chenghu Du, Jia Wu
2026 A* conf
Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning.
WWW
Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu
2026 A* conf
Sequence-Free for Compound Protein Interaction Prediction.
AAAI
Hongzhi Zhang, Jiameng Chen, Kun Li, Yida Xiong, Xiantao Cai, Wenbin Hu, Jia Wu
2026 J jnl
Variational Bayesian Flow Network for Graph Generation.
CoRR
Yida Xiong, Jiameng Chen, Xiuwen Gong, Jia Wu, Shirui Pan, Wenbin Hu
2026 J jnl
Zero-shot learning with subsequence reordering pretraining for compound-protein interaction.
Knowl. Based Syst.
Hongzhi Zhang, Zhonglie Liu, Kun Meng, Jiameng Chen, Jia Wu, Bo Du, Di Lin, Yan Che, Wenbin Hu
2025 J jnl
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions.
ACM Comput. Surv.
Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester
2025 J jnl
A Dual-Discriminator Generative Adversarial Network for Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Da Ding, Youquan Wang, Haicheng Tao, Jia Wu, Jie Cao
2025 — conf
A Multiagent-based Framework on RoboCup Simulation System for Enhancing Rescue Operation during Dynamic Disaster Environments.
WWW (Companion Volume)
Qihua Lyu, Xin Cao, Yongsheng Yu, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti
2025 J jnl
A Relation-Constraint Link Prediction Model for Dynamic Knowledge Graphs with Entity Drift.
ACM Trans. Knowl. Discov. Data
Xiulin Zheng, Pei-Pei Li, Zan Zhang, Jia Wu, Xindong Wu
2025 J jnl
A Unified Hypergraph Framework for Inter and Intra-Session Dynamics in Session-Based Social Recommendations.
IEEE Trans. Big Data
Bilal Khan, Jia Wu, Jian Yang, Malik Khizar Hayat, Shan Xue
2025 J jnl
A channel dependency decoupled two-stream model for multivariate time series analysis.
Int. J. Mach. Learn. Cybern.
Jin Fan, Jie Liu, Huifeng Wu, Jiaqian Xiang, Yuxia Cheng, Guanhang Xu, Jia Wu
2025 J jnl
A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT.
Int. J. Mach. Learn. Cybern.
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
2025 J jnl
A distribution feature extracting network with dual correlation for long sequence time-series forecasting.
Neurocomputing
Jin Fan, Zehao Wang, Feiwei Qin, Huifeng Wu, Danfeng Sun, Jia Wu
2025 J jnl
A protocol generation model for protocol-unknown IoT devices.
Future Gener. Comput. Syst.
Zheng Gao, Danfeng Sun, Kai Wang, Jia Wu, Huifeng Wu
2025 A* conf
Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation.
SIGIR
Kai Zhu, Jing Li, Jia Wu, Yue He, Jun Chang, Guohao Li, Shuyi Zhang
2025 — ed.
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part I
ADMA (1)
Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma
2025 — ed.
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part II
ADMA (2)
Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma
2025 — ed.
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part III
ADMA (3)
Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma
2025 — ed.
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part IV
ADMA (4)
Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma
2025 — ed.
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part V
ADMA (5)
Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma
2025 — ed.
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part VI
ADMA (6)
Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma
2025 A* conf
Adversarial Attacks Against Automated Fact-Checking: A Survey.
EMNLP
Fanzhen Liu, Sharif Abuadbba, Kristen Moore, Surya Nepal, Cécile Paris, Jia Wu, Jian Yang, Quan Z. Sheng
2025 J jnl
Adversarial Attacks Against Automated Fact-Checking: A Survey.
CoRR
Fanzhen Liu, Alsharif Abuadbba, Kristen Moore, Surya Nepal, Cécile Paris, Jia Wu, Jian Yang, Quan Z. Sheng
2025 J jnl
An Adaptive Entire-Space Multi-Scenario Multi-Task Transfer Learning Model for Recommendations.
IEEE Trans. Knowl. Data Eng.
Qingqing Yi, Jingjing Tang, Xiangyu Zhao, Yujian Zeng, Zengchun Song, Jia Wu
2025 J jnl
An enhanced residual learning framework for Graph Neural Networks based on Dual Random Walk.
Knowl. Based Syst.
Jin Fan, Zhangyu Gu, Jiajun Yang, Huifeng Wu, Danfeng Sun, Jia Wu
2025 A* conf
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding.
IJCAI
Jiameng Chen, Xiantao Cai, Jia Wu, Wenbin Hu
2025 J jnl
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding.
CoRR
Jiameng Chen, Xiantao Cai, Jia Wu, Wenbin Hu
2025 J jnl
Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection.
Knowl. Inf. Syst.
Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Jian Yang, Quan Z. Sheng
2025 J jnl
CFI-Former: Efficient lane detection by multi-granularity perceptual query attention transformer.
Neural Networks
Rong Gao, Siqi Hu, Lingyu Yan, Lefei Zhang, Jia Wu
2025 J jnl
Can Molecular Evolution Mechanism Enhance Molecular Representation?
CoRR
Kun Li, Longtao Hu, Xiantao Cai, Jia Wu, Wenbin Hu
2025 J jnl
Causal Variational Inference for Deconfounded Multi-Behavior Recommendation.
ACM Trans. Inf. Syst.
Yuzhe Chen, Jie Cao, Youquan Wang, Jia Wu, Huanhuan Chen, Guandong Xu
2025 J jnl
CiRLExplainer: Causality-Inspired Explainer for Graph Neural Networks via Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Wenya Hu, Jia Wu, Quan Qian
2025 A* conf
Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation.
WWW
Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu
2025 J jnl
Contrastive Multi-Knowledge Graph Learning for Fake News Detection.
IEEE Trans. Netw. Sci. Eng.
Bingbing Xie, Xiaoxiao Ma, Shan Xue, Jian Yang, Jia Wu, Hao Fan
2025 A* conf
Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation.
AAAI
Nian Rong, Fei Xiong, Shirui Pan, Guixun Luo, Jia Wu, Liang Wang
2025 J jnl
Dynamic Hypergraph for Cross-Domain Session-Based Social Recommendations.
IEEE Trans. Comput. Soc. Syst.
Bilal Khan, Jia Wu, Jian Yang, Shan Xue, Malik Khizar Hayat
2025 — conf
Enhanced Social Event Detection through Dynamically Weighted Meta-Paths Modeling.
WWW (Companion Volume)
Congbo Ma, Zitai Qiu, Hu Wang, Jing Du, Shan Xue, Jia Wu, Jian Yang
2025 J jnl
Enhancing GCN Robustness Against Structural Attacks via Adaptive Spectrum Filtering.
IEEE Trans. Inf. Forensics Secur.
Jin Fan, Zheyu Wang, Zehao Wang, Jiajun Yang, Huifeng Wu, Jia Wu
2025 J jnl
Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection.
IEEE Trans. Neural Networks Learn. Syst.
Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang
2025 B conf
Enhancing Template-Free Retrosynthesis Prediction with Cross-Modal Fine-Grained Contrastive Learning.
IJCNN
Junqi Zeng, Zelin Yao, Pengyang Song, Jia Wu, Wenbin Hu
2025 — conf
Explicit and Implicit Data Augmentation for Social Event Detection.
ACL (1)
Congbo Ma, Yuxia Wang, Jia Wu, Jian Yang, Jing Du, Zitai Qiu, Qing Li, Hu Wang, Preslav Nakov
2025 J jnl
Explicit and Implicit Data Augmentation for Social Event Detection.
CoRR
Congbo Ma, Yuxia Wang, Jia Wu, Jian Yang, Jing Du, Zitai Qiu, Qing Li, Hu Wang, Preslav Nakov
2025 J jnl
Extendable Multi-Device Collaborative Pipeline Parallel Inference in the Edge-Cloud Scenario.
IEEE Trans. Consumer Electron.
Junjie Hu, Danfeng Sun, Jin Fan, Junwei Dong, Baiping Chen, Huifeng Wu, Jia Wu
2025 J jnl
FP-AbDiff: Improving Score-based Antibody Design by Capturing Nonequilibrium Dynamics through the Underlying Fokker-Planck Equation.
CoRR
Jiameng Chen, Yida Xiong, Kun Li, Hongzhi Zhang, Xiantao Cai, Wenbin Hu, Jia Wu
2025 J jnl
Facial Expression Recognition With Heatmap Neighbor Contrastive Learning.
IEEE Trans. Multim.
Tong Liu, Jing Li, Jia Wu, Bo Du, Yibing Zhan, Dapeng Tao, Jun Wan
2025 A conf
From Dispersed Records to Structured Knowledge: A Graph-based Knowledge Modeling Framework for Archival Resources.
ICWS
Zhaoyang Zhang, Yang Zhang, Quan Z. Sheng, Jia Wu, Yaolin Zhou
2025 J jnl
GAFExplainer: Global View Explanation of Graph Neural Networks Through Attribute Augmentation and Fusion Embedding.
IEEE Trans. Knowl. Data Eng.
Wenya Hu, Jia Wu, Quan Qian
2025 J jnl
GCINet: global convolution interaction network with a pre-trained reversible normalization method for long-term time series forecasting.
Neural Comput. Appl.
Jin Fan, Baoshun Yang, Danfeng Sun, Jie Liu, Qikai Chen, Zhipeng Wang, Jia Wu
2025 J jnl
Generalized Local Prominence for Source Detection in Real-World Rumor Networks.
IEEE Trans. Knowl. Data Eng.
Syed Shafat Ali, Ajay Rastogi, Tarique Anwar, Syed Afzal Murtaza Rizvi, Jian Yang, Jia Wu, Quan Z. Sheng
2025 — conf
Global Interpretable Graph-level Anomaly Detection via Prototype.
KDD (2)
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng
2025 J jnl
Graph explicit pooling for graph-level representation learning.
Neural Networks
Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Wenbin Hu, Bo Du
2025 A conf
Graph-Structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities.
ICWS
Kun Li, Yida Xiong, Hongzhi Zhang, Xiantao Cai, Jia Wu, Bo Du, Wenbin Hu
2025 J jnl
HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking.
IEEE Trans. Big Data
Tianpeng Liu, Jing Li, Amin Beheshti, Jia Wu, Jun Chang, Beihang Song, Lezhi Lian
2025 J jnl
Heterogeneous Hypergraph Neural Network for Social Recommendation using Attention Network.
Trans. Recomm. Syst.
Bilal Khan, Jia Wu, Jian Yang, Xiaoxiao Ma
2025 J jnl
Heterogeneous Social Event Detection via Hyperbolic Graph Representations.
IEEE Trans. Big Data
Zitai Qiu, Jia Wu, Jian Yang, Xing Su, Charu C. Aggarwal
2025 A conf
Hierarchical Superpixel Segmentation via Structural Information Theory.
SDM
Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu
2025 J jnl
Hierarchical Superpixel Segmentation via Structural Information Theory.
CoRR
Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu
2025 J jnl
Hy-DeFake: Hypergraph neural networks for detecting fake news in online social networks.
Neural Networks
Xing Su, Jian Yang, Jia Wu, Zitai Qiu
2025 A conf
Introspective Congestion Control for Consistent High Performance.
EuroSys
Wanchun Jiang, Haoyang Li, Jia Wu, Kai Wang, Fengyuan Ren, Jianxin Wang
2025 J jnl
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration.
IEEE Trans. Neural Networks Learn. Syst.
Xuexiong Luo, Jia Wu, Jian Yang, Hongyang Chen, Zhao Li, Hao Peng, Chuan Zhou
2025 J jnl
Knowledge-aware contrastive heterogeneous molecular graph learning.
CoRR
Mukun Chen, Jia Wu, Shirui Pan, Fu Lin, Bo Du, Xiuwen Gong, Wenbin Hu
2025 J jnl
Knowledge-aware contrastive heterogeneous molecular graph learning.
PLoS Comput. Biol.
Mukun Chen, Jia Wu, Shirui Pan, Fu Lin, Bo Du, Xiuwen Gong, Wenbin Hu
2025 J jnl
LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions.
CoRR
Xixun Lin, Yucheng Ning, Jingwen Zhang, Yan Dong, Yilong Liu, Yongxuan Wu, Xiaohua Qi, Nan Sun, Yanmin Shang, Pengfei Cao, Lixin Zou, Xu Chen, Chuan Zhou, Jia Wu, Shirui Pan, Bin Wang, Yanan Cao, Kai Chen, Songlin Hu, Li Guo
2025 J jnl
Multi-view contrastive learning with Static attributes and Dynamic interests for Sequential Recommendation.
Appl. Intell.
Mukun Chen, Jia Wu, Shirui Pan, Xiantao Cai, Bo Du, Wenbin Hu, Huiting Xu
2025 J jnl
Multiknowledge and LLM-Inspired Heterogeneous Graph Neural Network for Fake News Detection.
IEEE Trans. Comput. Soc. Syst.
Bingbing Xie, Xiaoxiao Ma, Shan Xue, Amin Beheshti, Jian Yang, Hao Fan, Jia Wu
2025 J jnl
PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction.
Neural Networks
Jin Fan, Wenchao Weng, Qikai Chen, Huifeng Wu, Jia Wu
2025 J jnl
Path-aware multi-scale learning for heterogeneous graph neural network.
Neural Networks
Jin Fan, Jiajun Yang, Zhangyu Gu, Huifeng Wu, Danfeng Sun, Feiwei Qin, Jia Wu
2025 J jnl
Reinforced GNNs for Multiple Instance Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xusheng Zhao, Qiong Dai, Xu Bai, Jia Wu, Hao Peng, Huailiang Peng, Zhengtao Yu, Philip S. Yu
2025 J jnl
Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives.
IEEE Trans. Knowl. Data Eng.
Xiaoxiao Ma, Fanzhen Liu, Jia Wu, Jian Yang, Shan Xue, Quan Z. Sheng
2025 J jnl
SSIM over MSE: A new perspective for video anomaly detection.
Neural Networks
Jin Fan, Miao Chen, Zhangyu Gu, Jiajun Yang, Huifeng Wu, Jia Wu
2025 A* conf
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation.
IJCAI
Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu
2025 J jnl
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation.
CoRR
Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu
2025 A conf
STGS: Spatio-temporal Graph Sparsification Using Reinforcement Learning.
CIKM
Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Jin Foo, Jia Wu
2025 J jnl
Scalable Semi-Supervised Clustering via Structural Entropy With Different Constraints.
IEEE Trans. Knowl. Data Eng.
Guangjie Zeng, Hao Peng, Angsheng Li, Jia Wu, Chunyang Liu, Philip S. Yu
2025 A conf
Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification.
WSDM
Malik Khizar Hayat, Shan Xue, Jia Wu, Bilal Khan, Jian Yang
2025 J jnl
State of the Art and Potentialities of Graph-level Learning.
ACM Comput. Surv.
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
2025 — conf
Text is All You Need: LLM-enhanced Incremental Social Event Detection.
ACL (1)
Zitai Qiu, Congbo Ma, Jia Wu, Jian Yang
2025 J jnl
Towards Faithful Class-level Self-explainability in Graph Neural Networks by Subgraph Dependencies.
CoRR
Fanzhen Liu, Xiaoxiao Ma, Jian Yang, Alsharif Abuadbba, Kristen Moore, Surya Nepal, Cécile Paris, Quan Z. Sheng, Jia Wu
2025 J jnl
Unified Knowledge-Guided Molecular Graph Encoder with multimodal fusion and multi-task learning.
Neural Networks
Mukun Chen, Xiuwen Gong, Shirui Pan, Jia Wu, Fu Lin, Bo Du, Wenbin Hu
2025 J jnl
When and What to Recommend: Joint Modeling of Timing and Content for Active Sequential Recommendation.
CoRR
Jin Chai, Xiaoxiao Ma, Jian Yang, Jia Wu
2025 J jnl
Zero-Shot Learning with Subsequence Reordering Pretraining for Compound-Protein Interaction.
CoRR
Hongzhi Zhang, Zhonglie Liu, Kun Meng, Jiameng Chen, Jia Wu, Bo Du, Di Lin, Yan Che, Wenbin Hu
2024 J jnl
A Comprehensive Survey on Automatic Knowledge Graph Construction.
ACM Comput. Surv.
Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu
2024 J jnl
A Comprehensive Survey on Collaborative Data-access Enablers in the IIoT.
ACM Comput. Surv.
Danfeng Sun, Junjie Hu, Huifeng Wu, Jia Wu, Jian Yang, Quan Z. Sheng, Schahram Dustdar
2024 J jnl
A Comprehensive Survey on Community Detection With Deep Learning.
IEEE Trans. Neural Networks Learn. Syst.
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
2024 J jnl
A Comprehensive Survey on Graph Summarization With Graph Neural Networks.
IEEE Trans. Artif. Intell.
Nasrin Shabani, Jia Wu, Amin Beheshti, Quan Z. Sheng, Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar
2024 J jnl
A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction.
CoRR
Hongzhi Zhang, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu
2024 J jnl
A Survey on Deep Learning Event Extraction: Approaches and Applications.
IEEE Trans. Neural Networks Learn. Syst.
Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu
2024 J jnl
AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs.
Pattern Recognit.
Yi Wang, Changqin Huang, Ming Li, Qionghao Huang, Xuemei Wu, Jia Wu
2024 A* conf
An Efficient Automatic Meta-Path Selection for Social Event Detection via Hyperbolic Space.
WWW
Zitai Qiu, Congbo Ma, Jia Wu, Jian Yang
2024 A conf
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis.
WSDM
Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue
2024 J jnl
An unsupervised video anomaly detection method via Optical Flow decomposition and Spatio-Temporal feature learning.
Pattern Recognit. Lett.
Jin Fan, Yuxiang Ji, Huifeng Wu, Yan Ge, Danfeng Sun, Jia Wu
2024 J jnl
Attention-Based Graph Summarization for Large-Scale Information Retrieval.
IEEE Trans. Consumer Electron.
Nasrin Shabani, Amin Beheshti, Alireza Jolfaei, Jia Wu, Venus Haghighi, Maryam Khanian Najafabadi, Jin Foo
2024 — conf
BiF-AC: A Bidirectional Feedback Actor-Critic Framework for UAV-UGV Graph-Based Search and Rescue Operations.
ADMA (3)
Xin Cao, He Luo, Guoqiang Wang, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti
2024 J jnl
CoSENT: Consistent Sentence Embedding via Similarity Ranking.
IEEE ACM Trans. Audio Speech Lang. Process.
Xiang Huang, Hao Peng, Dongcheng Zou, Zhiwei Liu, Jianxin Li, Kay Liu, Jia Wu, Jianlin Su, Philip S. Yu
2024 J jnl
Collaborative control of path tracking and roll stability in intelligent commercial vehicle: A minimax robust regulator based on Nash game.
Eng. Appl. Artif. Intell.
Jia Wu, Yang Yan, Yahui Liu
2024 J jnl
Community Preserving Social Recommendation with Cyclic Transfer Learning.
ACM Trans. Inf. Syst.
Xuelian Ni, Fei Xiong, Shirui Pan, Jia Wu, Liang Wang, Hongshu Chen
2024 J jnl
Complex query answering over knowledge graphs foundation model using region embeddings on a lie group.
World Wide Web (WWW)
Zhengyun Zhou, Guojia Wan, Shirui Pan, Jia Wu, Wenbin Hu, Bo Du
2024 J jnl
Confusable facial expression recognition with geometry-aware conditional network.
Pattern Recognit.
Tong Liu, Jing Li, Jia Wu, Bo Du, Jun Wan, Jun Chang
2024 A* conf
Contrastive Learning Drug Response Models from Natural Language Supervision.
IJCAI
Kun Li, Xiuwen Gong, Jia Wu, Wenbin Hu
2024 J jnl
Contrastive graph learning long and short-term interests for POI recommendation.
Expert Syst. Appl.
Jiarun Fu, Rong Gao, Yonghong Yu, Jia Wu, Jing Li, Donghua Liu, Zhiwei Ye
2024 A* conf
Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis.
ICDM
Guangwei Dong, Xuexiong Luo, Jing Du, Jia Wu, Shan Xue, Jian Yang, Amin Beheshti
2024 J jnl
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts.
CoRR
Zelin Yao, Chuang Liu, Xianke Meng, Yibing Zhan, Jia Wu, Shirui Pan, Wenbin Hu
2024 A* conf
Debunking Fake News in Online Social Networks Without Text Analysis.
ICDM
Xing Su, Jian Yang, Jia Wu, Zitai Qiu
2024 J jnl
Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI.
IEEE Trans. Comput. Biol. Bioinform.
Hengjin Ke, Dan Chen, Quanming Yao, Yunbo Tang, Jia Wu, Jessica Monaghan, Paul F. Sowman, David McAlpine
2024 J jnl
Deep Session Heterogeneity-Aware Network for Click Through Rate Prediction.
IEEE Trans. Knowl. Data Eng.
Xin Zhang, Zengmao Wang, Bo Du, Jia Wu, Xiao Zhang, Erli Meng
2024 J jnl
Direction Prediction Redefinition: Transfer Angle to Scale in Oriented Object Detection.
IEEE Trans. Circuits Syst. Video Technol.
Beihang Song, Jing Li, Jia Wu, Jun Chang, Jun Wan
2024 — conf
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification.
MICCAI (10)
Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral
2024 J jnl
Dual-perspective Cross Contrastive Learning in Graph Transformers.
CoRR
Zelin Yao, Chuang Liu, Xueqi Ma, Mukun Chen, Jia Wu, Xiantao Cai, Bo Du, Wenbin Hu
2024 — conf
Emotion Graph Augmentation for Detecting Fake News in Online Social Networks.
ADMA (3)
Xing Su, Yuchen Zhang, Jian Yang, Jia Wu
2024 J jnl
Exploring sparsity in graph transformers.
Neural Networks
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
2024 J jnl
Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis.
Inf. Process. Manag.
Xiaosai Huang, Jing Li, Jia Wu, Jun Chang, Donghua Liu, Kai Zhu
2024 J jnl
Fragment-Masked Molecular Optimization.
CoRR
Kun Li, Xiantao Cai, Jia Wu, Bo Du, Wenbin Hu
2024 A* conf
Graph Anomaly Detection with Few Labels: A Data-Centric Approach.
KDD
Xiaoxiao Ma, Ruikun Li, Fanzhen Liu, Kaize Ding, Jian Yang, Jia Wu
2024 A* conf
Graph Neural Networks for Brain Graph Learning: A Survey.
IJCAI
Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu
2024 J jnl
Graph Neural Networks for Brain Graph Learning: A Survey.
CoRR
Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu
2024 J jnl
Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Zhao Li, Jilong Wang, Philip S. Yu
2024 B conf
GraphSUM: Scalable Graph Summarization for Efficient Question Answering.
EDBT
Nasrin Shabani, Amin Beheshti, Jia Wu, Maryam Khanian Najafabadi, Jin Foo, Alireza Jolfaei
2024 J jnl
Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks.
IEEE Trans. Artif. Intell.
Malik Khizar Hayat, Shan Xue, Jia Wu, Jian Yang
2024 A* conf
Heterogeneous Subgraph Transformer for Fake News Detection.
WWW
Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan
2024 J jnl
Heterogeneous Subgraph Transformer for Fake News Detection.
CoRR
Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan
2024 J jnl
Hi-GMAE: Hierarchical Graph Masked Autoencoders.
CoRR
Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du
2024 Misc conf
IFNET: Integrating Data Augmentation and Decoupled Attention Fusion for 3D Object Detection.
ICASSP
Zhenchang Xia, Guanqun Zheng, Shengwu Xiong, Jia Wu, Junyin Wang, Chenghu Du
2024 J jnl
Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 2.
ACM Trans. Web
Hao Peng, Jian Yang, Jia Wu, Philip S. Yu
2024 J jnl
Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems.
Int. J. Mach. Learn. Cybern.
Hao Peng, Jia Wu, Jiaxu Cui, Philip S. Yu
2024 J jnl
Knowledge Graph Enhanced Heterogeneous Graph Neural Network for Fake News Detection.
IEEE Trans. Consumer Electron.
Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan
2024 J jnl
Learning To Sample the Meta-Paths for Social Event Detection.
CoRR
Congbo Ma, Hu Wang, Zitai Qiu, Shan Xue, Jia Wu, Jian Yang, Preslav Nakov, Quan Z. Sheng
2024 J jnl
Learning the feature distribution similarities for online time series anomaly detection.
Neural Networks
Jin Fan, Yan Ge, Xinyi Zhang, Zheyu Wang, Huifeng Wu, Jia Wu
2024 J jnl
Multivariate Knowledge Tracking Based on Graph Neural Network in ASSISTments.
IEEE Trans. Learn. Technol.
Zhenchang Xia, Nan Dong, Jia Wu, Chuanguo Ma
2024 A* conf
On Fake News Detection with LLM Enhanced Semantics Mining.
EMNLP
Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu, Hao Fan
2024 J jnl
Position Matters: Play a Sequential Game to Detect Significant Communities.
IEEE Trans. Knowl. Data Eng.
Yuyao Wang, Jie Cao, Youquan Wang, Jia Wu, Yangyang Liu
2024 J jnl
RGDAN: A random graph diffusion attention network for traffic prediction.
Neural Networks
Jin Fan, Wenchao Weng, Hao Tian, Huifeng Wu, Fu Zhu, Jia Wu
2024 J jnl
Regressor-free Molecule Generation to Support Drug Response Prediction.
CoRR
Kun Li, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu
2024 J jnl
ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning.
IEEE Trans. Knowl. Data Eng.
Xuexiong Luo, Sheng Zhang, Jia Wu, Hongyang Chen, Hao Peng, Chuan Zhou, Zhao Li, Shan Xue, Jian Yang
2024 J jnl
Representing Multiview Time-Series Graph Structures for Multivariate Long-Term Time-Series Forecasting.
IEEE Trans. Artif. Intell.
Zehao Wang, Jin Fan, Huifeng Wu, Danfeng Sun, Jia Wu
2024 J jnl
SBP-GCA: Social Behavior Prediction via Graph Contrastive Learning With Attention.
IEEE Trans. Artif. Intell.
Yufei Liu, Jia Wu, Jie Cao
2024 J jnl
Single-stage oriented object detection via Corona Heatmap and Multi-stage Angle Prediction.
Knowl. Based Syst.
Beihang Song, Jing Li, Jia Wu, Shan Xue, Jun Chang, Jun Wan
2024 J jnl
Special Section on Community Detection in Time-Varying Information and Computing Networks: Theory, Models, and Applications.
IEEE Trans. Emerg. Top. Comput.
Jia Wu, Jian Yang, Philip S. Yu, Carlo Condo
2024 J jnl
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications.
Int. J. Mach. Learn. Cybern.
Chao-Chao Chen, Fei Zheng, Jamie Cui, Yuwei Cao, Guanfeng Liu, Jia Wu, Jun Zhou
2024 A* conf
TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection.
ICDM
Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Quan Z. Sheng, Jian Yang
2024 J jnl
Temporally Rich Deep Learning Models for Magnetoencephalography.
Trans. Mach. Learn. Res.
Tim Chard, Mark Dras, Paul F. Sowman, Steve Cassidy, Jia Wu
2024 J jnl
Text-Guided Multi-Property Molecular Optimization with a Diffusion Language Model.
CoRR
Yida Xiong, Kun Li, Weiwei Liu, Jia Wu, Bo Du, Shirui Pan, Wenbin Hu
2024 A conf
The Open Story Model (OSM): Transforming Big Data into Interactive Narratives.
ICWS
Fariba Lotfi, Amin Beheshti, Mansour Jamzad, Hamid Beigy, Jia Wu, Philip S. Yu
2024 — conf
Time Distance Aware for Multi-component Graph Collaborative Filtering.
WISE (PhD Symposium, Demos and Workshops)
Tseesuren Batsuuri, Shan Xue, Jian Yang, Jia Wu
2024 J jnl
Toward Cross-Lingual Social Event Detection with Hybrid Knowledge Distillation.
ACM Trans. Knowl. Discov. Data
Jiaqian Ren, Hao Peng, Lei Jiang, Zhifeng Hao, Jia Wu, Shengxiang Gao, Zhengtao Yu, Qiang Yang
2024 J jnl
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng.
Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin
2024 J jnl
Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference.
CoRR
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Jia Wu, Jian Yang, Michael Sheng, Lina Yao
2024 J jnl
Towards a better negative sampling strategy for dynamic graphs.
Neural Networks
Kuang Gao, Chuang Liu, Jia Wu, Bo Du, Wenbin Hu
2024 J jnl
Tracking With Saliency Region Transformer.
IEEE Trans. Image Process.
Tianpeng Liu, Jing Li, Jia Wu, Lefei Zhang, Jun Chang, Jun Wan, Lezhi Lian
2024 J jnl
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment.
Neural Networks
Qian Li, Jianxin Li, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu
2024 J jnl
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection.
IEEE Trans. Knowl. Data Eng.
Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu
2024 J jnl
Unveiling the secrets of online consumer choice: A deep learning algorithmic approach to evaluate and predict purchase decisions through EEG responses.
Inf. Process. Manag.
Yiran Li, Qihua Liu, Jia Wu
2024 J jnl
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily.
World Wide Web (WWW)
Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu, Shirui Pan
2024 A* conf
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders.
IJCAI
Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu
2024 J jnl
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders.
CoRR
Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu
2024 A* conf
Zero-shot Learning for Preclinical Drug Screening.
IJCAI
Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu, Wenbin Hu
2023 J jnl
A Comprehensive Survey of Graph-level Learning.
CoRR
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò
2023 J jnl
A Comprehensive Survey on Automatic Knowledge Graph Construction.
CoRR
Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu
2023 J jnl
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning.
IEEE Trans. Knowl. Data Eng.
Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu
2023 J jnl
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
2023 J jnl
A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting.
Pattern Recognit.
Wenchao Weng, Jin Fan, Huifeng Wu, Yujie Hu, Hao Tian, Fu Zhu, Jia Wu
2023 J jnl
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
IEEE Trans. Knowl. Data Eng.
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang
2023 J jnl
A Survey on Graph Neural Networks for Graph Summarization.
CoRR
Nasrin Shabani, Jia Wu, Amin Beheshti, Jin Foo, Ambreen Hanif, Maryam Shahabikargar
2023 J jnl
A robust feature reinforcement framework for heterogeneous graphs neural networks.
Future Gener. Comput. Syst.
Zehao Wang, Huifeng Wu, Jin Fan, Danfeng Sun, Jia Wu
2023 J jnl
Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining.
IEEE Trans. Pattern Anal. Mach. Intell.
Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Philip S. Yu
2023 J jnl
Adaptive curvature exploration geometric graph neural network.
Knowl. Inf. Syst.
Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu
2023 J jnl
An Adversarial Time-Frequency Reconstruction Network for Unsupervised Anomaly Detection.
Neural Networks
Jin Fan, Zehao Wang, Huifeng Wu, Danfeng Sun, Jia Wu, Xin Lu
2023 J jnl
C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks.
IEEE Trans. Neural Networks Learn. Syst.
Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Shan Xue, Qianli Xing, Philip S. Yu
2023 A conf
CCPO: Conservatively Constrained Policy Optimization Using State Augmentation.
ECAI
Zepeng Wang, Xiaochuan Shi, Chao Ma, Libing Wu, Jia Wu
2023 J jnl
Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes.
CoRR
Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu
2023 J jnl
Corrigendum to "Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data" [Neural Networks 163 (2023) 272-285].
Neural Networks
Yunbo Tang, Dan Chen, Jia Wu, Weiping Tu, Jessica J. M. Monaghan, Paul F. Sowman, David McAlpine
2023 J jnl
Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition.
IEEE Trans. Big Data
Weichao Liang, Jie Cao, Lei Chen, Youquan Wang, Jia Wu, Amin Beheshti, Jiangnan Tang
2023 A* conf
Cross-Domain Facial Expression Recognition via Disentangling Identity Representation.
IJCAI
Tong Liu, Jing Li, Jia Wu, Lefei Zhang, Shanshan Zhao, Jun Chang, Jun Wan
2023 J jnl
Cross-Level Dependability Assessment With a Distributed Split Mechanism for Wireless Communication Systems.
IEEE Trans. Netw. Sci. Eng.
Danfeng Sun, Jianyong Zhao, Baiping Chen, Huifeng Wu, Jia Wu
2023 A* conf
CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing.
WWW
Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang
2023 J jnl
Deep spatial-temporal structure learning for rumor detection on Twitter.
Neural Comput. Appl.
Qi Huang, Chuan Zhou, Jia Wu, Luchen Liu, Bin Wang
2023 — conf
Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model.
ADMA (3)
Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong
2023 J jnl
Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model.
CoRR
Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong
2023 — conf
Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce.
ECIR (2)
Li Zheng, Zhao Li, Jun Gao, Zhenpeng Li, Jia Wu, Chuan Zhou
2023 A* conf
Don't Ignore Alienation and Marginalization: Correlating Fraud Detection.
IJCAI
Yilong Zang, Ruimin Hu, Zheng Wang, Danni Xu, Jia Wu, Dengshi Li, Junhang Wu, Lingfei Ren
2023 J jnl
Dual Mutual Robust Graph Convolutional Network for Weakly Supervised Node Classification in Social Networks of Internet of People.
IEEE Internet Things J.
Bentian Li, Jia Wu, Dechang Pi, Yunxia Lin
2023 J jnl
Dual Structural Consistency Preserving Community Detection on Social Networks.
IEEE Trans. Knowl. Data Eng.
Yuyao Wang, Jie Cao, Zhan Bu, Jia Wu, Youquan Wang
2023 — conf
EmoKnow: Emotion- and Knowledge-Oriented Model for COVID-19 Fake News Detection.
ADMA (1)
Yuchen Zhang, Xing Su, Jia Wu, Jian Yang, Hao Fan, Xiaochuan Zheng
2023 B conf
Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning.
WISE
Hongjiao Liu, Shan Xue, Jian Yang, Jia Wu
2023 J jnl
Event Extraction by Associating Event Types and Argument Roles.
IEEE Trans. Big Data
Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Hao Peng, Lihong Wang
2023 J jnl
Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification.
Pattern Recognit.
Xixun Lin, Chuan Zhou, Jia Wu, Hong Yang, Haibo Wang, Yanan Cao, Bin Wang
2023 J jnl
Exploring Sparsity in Graph Transformers.
CoRR
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
2023 J jnl
Facial Expression Recognition on the High Aggregation Subgraphs.
IEEE Trans. Image Process.
Tong Liu, Jing Li, Jia Wu, Bo Du, Jun Chang, Yi Liu
2023 J jnl
Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data.
Neural Networks
Yunbo Tang, Dan Chen, Jia Wu, Weiping Tu, Jessica J. M. Monaghan, Paul F. Sowman, David McAlpine
2023 A* conf
Gapformer: Graph Transformer with Graph Pooling for Node Classification.
IJCAI
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu
2023 J jnl
Glider: rethinking congestion control with deep reinforcement learning.
World Wide Web (WWW)
Zhenchang Xia, Libing Wu, Fei Wang, Xudong Liao, Haiyan Hu, Jia Wu, Dan Wu
2023 A* conf
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities.
IJCAI
Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao
2023 J jnl
Graph structure reforming framework enhanced by commute time distance for graph classification.
Neural Networks
Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu
2023 B conf
Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection.
SSDBM
Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Hao Fan
2023 J jnl
Heterogeneous Social Event Detection via Hyperbolic Graph Representations.
CoRR
Zitai Qiu, Jia Wu, Jian Yang, Xing Su, Charu C. Aggarwal
2023 J jnl
Heterogeneous graph neural network with semantic-aware differential privacy guarantees.
Knowl. Inf. Syst.
Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2023 J jnl
Hy-DeFake: Hypergraph Neural Networks for Detecting Fake News in Online Social Networks.
CoRR
Xing Su, Jian Yang, Jia Wu, Zitai Qiu
2023 A* conf
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.
WWW
Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
2023 J jnl
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.
CoRR
Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
2023 J jnl
Incorporating user rating credibility in recommender systems.
Future Gener. Comput. Syst.
Naime Ranjbar Kermany, Weiliang Zhao, Tseesuren Batsuuri, Jian Yang, Jia Wu
2023 J jnl
Intra- and inter-association attention network-enhanced policy learning for social group recommendation.
World Wide Web (WWW)
Youquan Wang, Zhiwen Dai, Jie Cao, Jia Wu, Haicheng Tao, Guixiang Zhu
2023 J jnl
Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 1.
ACM Trans. Web
Hao Peng, Jian Yang, Jia Wu, Philip S. Yu
2023 A* conf
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.
WWW
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
2023 J jnl
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.
CoRR
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
2023 J jnl
Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation.
ACM Trans. Web
Lei Chen, Jie Cao, Weichao Liang, Jia Wu, Qiaolin Ye
2023 J jnl
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection.
IEEE Trans. Big Data
Pengbo Li, Hang Yu, Xiangfeng Luo, Jia Wu
2023 J jnl
LUAD: A lightweight unsupervised anomaly detection scheme for multivariate time series data.
Neurocomputing
Jin Fan, Zhentao Liu, Huifeng Wu, Jia Wu, Zhanyu Si, Peng Hao, Tom H. Luan
2023 A conf
Minimum Entropy Principle Guided Graph Neural Networks.
WSDM
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su
2023 A conf
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks.
WSDM
Xing Su, Jian Yang, Jia Wu, Yuchen Zhang
2023 J jnl
Modeling the social influence of COVID-19 via personalized propagation with deep learning.
World Wide Web (WWW)
Yufei Liu, Jie Cao, Jia Wu, Dechang Pi
2023 J jnl
Multi-Aspect enhanced Graph Neural Networks for recommendation.
Neural Networks
Chenyan Zhang, Shan Xue, Jing Li, Jia Wu, Bo Du, Donghua Liu, Jun Chang
2023 J jnl
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation.
IEEE Trans. Knowl. Data Eng.
Xusheng Zhao, Qiong Dai, Jia Wu, Hao Peng, Mingsheng Liu, Xu Bai, Jianlong Tan, Senzhang Wang, Philip S. Yu
2023 B conf
OOA-UADS: Offline, Online, Analysis-an Unsupervised Anomaly Detection Solution for Multivariate Time Series.
IJCNN
Jin Fan, Zhanyu Si, Zehao Wang, Danfeng Sun, Jia Wu, Huifeng Wu
2023 J jnl
Online Active Learning for Drifting Data Streams.
IEEE Trans. Neural Networks Learn. Syst.
Sanmin Liu, Shan Xue, Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao
2023 A* conf
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization.
WWW
Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu
2023 J jnl
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization.
CoRR
Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu
2023 J jnl
SRDF: Single-Stage Rotate Object Detector via Dense Prediction and False Positive Suppression.
IEEE Trans. Geosci. Remote. Sens.
Beihang Song, Jing Li, Jia Wu, Bo Du, Jun Chang, Jun Wan, Tianpeng Liu
2023 B conf
Segformer: Segment-Based Transformer with Decomposition for Long-Term Series Forecasting.
IJCNN
Jinhua Chen, Jin Fan, Zhen Liu, Jiaqian Xiang, Jia Wu
2023 J jnl
Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation.
Knowl. Based Syst.
Rong Gao, Yuhe Tao, Yonghong Yu, Jia Wu, Xiongkai Shao, Jing Li, Zhiwei Ye
2023 J jnl
Semi-Supervised EEG Clustering With Multiple Constraints.
IEEE Trans. Knowl. Data Eng.
Chenglong Dai, Jia Wu, Jessica J. M. Monaghan, Guanghui Li, Hao Peng, Stefanie I. Becker, David McAlpine
2023 J jnl
ShVEEGc: EEG Clustering With Improved Cosine Similarity-Transformed Shapley Value.
IEEE Trans. Emerg. Top. Comput. Intell.
Guanghui Li, Jiahua Shen, Chenglong Dai, Jia Wu, Stefanie I. Becker
2023 J jnl
Signed Network Representation by Preserving Multi-Order Signed Proximity.
IEEE Trans. Knowl. Data Eng.
Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Yang Yang, Philip S. Yu
2023 B conf
Social Event Detection with Reinforced Deep Heterogeneous Graph Attention Network.
IEEE Big Data
Yongsheng Yu, Jia Wu, Jian Yang
2023 J jnl
Temporal Link Prediction With Motifs for Social Networks.
IEEE Trans. Knowl. Data Eng.
Zhenyu Qiu, Jia Wu, Wenbin Hu, Bo Du, Guocai Yuan, Philip S. Yu
2023 A* conf
Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping.
KDD
Xiaoxiao Ma, Jia Wu, Jian Yang, Quan Z. Sheng
2023 J jnl
Tracking With Mutual Attention Network.
IEEE Trans. Multim.
Tianpeng Liu, Jing Li, Jia Wu, Jun Chang, Beihang Song, Bowen Yao
2023 J jnl
Tracking the Evolution of Clusters in Social Media Streams.
IEEE Trans. Big Data
Tarique Anwar, Surya Nepal, Cécile Paris, Jian Yang, Jia Wu, Quan Z. Sheng
2023 J jnl
Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification.
IEEE Trans. Big Data
Xiaosai Huang, Jing Li, Jia Wu, Jun Chang, Donghua Liu
2023 J jnl
Trip Reinforcement Recommendation with Graph-based Representation Learning.
ACM Trans. Knowl. Discov. Data
Lei Chen, Jie Cao, Haicheng Tao, Jia Wu
2023 A conf
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.
WSDM
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2023 J jnl
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.
CoRR
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2023 J jnl
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection.
CoRR
Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu
2023 J jnl
Visual tracking with dumbbell selection network.
Neurocomputing
Tianpeng Liu, Jing Li, Jia Wu, Jun Chang, Yafu Xiao, Yan Hong
2023 B conf
Worldwide COVID-19 Topic Knowledge Graph Analysis From Social Media.
IJCNN
Yuchen Zhang, Yifan Wang, Hao Fan, Jing Li, Jia Wu
2022 J jnl
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions.
CoRR
Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester
2022 J jnl
A Data Stream Cleaning System Using Edge Intelligence for Smart City Industrial Environments.
IEEE Trans. Ind. Informatics
Danfeng Sun, Shan Xue, Huifeng Wu, Jia Wu
2022 J jnl
A spatio-temporal sequence-to-sequence network for traffic flow prediction.
Inf. Sci.
Shuqin Cao, Libing Wu, Jia Wu, Dan Wu, Qingan Li
2022 J jnl
Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation.
IEEE Trans. Knowl. Data Eng.
Donghua Liu, Jia Wu, Jing Li, Bo Du, Jun Chang, Xuefei Li
2022 A conf
Automating DBSCAN via Deep Reinforcement Learning.
CIKM
Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu
2022 J jnl
Automating DBSCAN via Deep Reinforcement Learning.
CoRR
Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu
2022 J jnl
Brain EEG Time-Series Clustering Using Maximum-Weight Clique.
IEEE Trans. Cybern.
Chenglong Dai, Jia Wu, Dechang Pi, Stefanie I. Becker, Lin Cui, Qin Zhang, Blake W. Johnson
2022 A conf
ComGA: Community-Aware Attributed Graph Anomaly Detection.
WSDM
Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue
2022 A conf
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.
CIKM
Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022 J jnl
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.
CoRR
Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022 A* conf
Curvature Graph Generative Adversarial Networks.
WWW
Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2022 J jnl
Curvature Graph Generative Adversarial Networks.
CoRR
Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2022 A* conf
DAGAD: Data Augmentation for Graph Anomaly Detection.
ICDM
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
2022 J jnl
DAGAD: Data Augmentation for Graph Anomaly Detection.
CoRR
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
2022 J jnl
Deep Multi-Attributed-View Graph Representation Learning.
IEEE Trans. Netw. Sci. Eng.
Xiaoxiao Ma, Shan Xue, Jia Wu, Jian Yang, Cécile Paris, Surya Nepal, Quan Z. Sheng
2022 J jnl
Deep Recommendation With Adversarial Training.
IEEE Trans. Emerg. Top. Comput.
Chenyan Zhang, Jing Li, Jia Wu, Donghua Liu, Jun Chang, Rong Gao
2022 J jnl
Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis.
CoRR
Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He
2022 J jnl
Deep reinforcement learning guided graph neural networks for brain network analysis.
Neural Networks
Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J. M. Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He
2022 J jnl
Drift-Proof Tracking With Deep Reinforcement Learning.
IEEE Trans. Multim.
Zhongze Chen, Jing Li, Jia Wu, Jun Chang, Yafu Xiao, Xiaoting Wang
2022 A* conf
Dual-branch Density Ratio Estimation for Signed Network Embedding.
WWW
Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu
2022 A* conf
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.
NeurIPS
Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal
2022 J jnl
Efficient Quantum Blockchain With a Consensus Mechanism QDPoS.
IEEE Trans. Inf. Forensics Secur.
Qin Li, Jia Wu, Junyu Quan, Jinjing Shi, Shichao Zhang
2022 J jnl
Electroencephalogram Signal Clustering With Convex Cooperative Games.
IEEE Trans. Knowl. Data Eng.
Chenglong Dai, Jia Wu, Dechang Pi, Lin Cui, Blake W. Johnson, Stefanie I. Becker
2022 J jnl
Embedding Knowledge for Document Summarization: A Survey.
CoRR
Yutong Qu, Wei Emma Zhang, Jian Yang, Lingfei Wu, Jia Wu, Xindong Wu
2022 A conf
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory.
ICWS
Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu
2022 J jnl
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory.
CoRR
Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu
2022 A conf
Fair-SRS: A Fair Session-based Recommendation System.
WSDM
Naime Ranjbar Kermany, Jian Yang, Jia Wu, Luiz Pizzato
2022 A conf
From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection.
CIKM
Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
2022 J jnl
From Known to Unknown: Quality-aware Self-improving Graph Neural Network for Open Set Social Event Detection.
CoRR
Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
2022 J jnl
GARAT: Generative Adversarial Learning for Robust and Accurate Tracking.
Neural Networks
Bowen Yao, Jing Li, Shan Xue, Jia Wu, Huanmei Guan, Jun Chang, Zhiquan Ding
2022 J jnl
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities.
CoRR
Chuang Liu, Yibing Zhan, Chang Li, Bo Du, Jia Wu, Wenbin Hu, Tongliang Liu, Dacheng Tao
2022 A* conf
Graph Structure Learning with Variational Information Bottleneck.
AAAI
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2022 J jnl
Graph-level Neural Networks: Current Progress and Future Directions.
CoRR
Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal
2022 A* conf
H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections.
WWW
Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu
2022 A* conf
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.
ICDM
Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2022 J jnl
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.
CoRR
Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2022 A* conf
HiGIL: Hierarchical Graph Inference Learning for Fact Checking.
ICDM
Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang
2022 J jnl
Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures.
Knowl. Based Syst.
Yutong Qu, Wei Emma Zhang, Jian Yang, Lingfei Wu, Jia Wu
2022 J jnl
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks.
CoRR
Xing Su, Jian Yang, Jia Wu, Yuchen Zhang
2022 A conf
PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System.
ICSOC
Naime Ranjbar Kermany, Luiz Pizzato, Jian Yang, Shan Xue, Jia Wu
2022 J jnl
Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations.
IEEE ACM Trans. Audio Speech Lang. Process.
Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
2022 J jnl
Robust face alignment by dual-attentional spatial-aware capsule networks.
Pattern Recognit.
Jinyan Ma, Jing Li, Bo Du, Jia Wu, Jun Wan, Yafu Xiao
2022 J jnl
Signed network representation with novel node proximity evaluation.
Neural Networks
Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu
2022 J jnl
Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap.
CoRR
Beihang Song, Jing Li, Shan Xue, Jun Chang, Jia Wu, Jun Wan, Tianpeng Liu
2022 J jnl
TransEDRP: Dual Transformer model with Edge Emdedded for Drug Respond Prediction.
CoRR
Kun Li, Jia Wu, Bo Du, Sergey V. Petoukhov, Huiting Xu, Zheman Xiao, Wenbin Hu
2022 J jnl
VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily.
CoRR
Fengzhao Shi, Ren Li, Yanan Cao, Yanmin Shang, Lanxue Zhang, Chuan Zhou, Jia Wu, Shirui Pan
2022 A* conf
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification.
IJCAI
Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
2022 J jnl
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks.
ACM Trans. Inf. Syst.
Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao
2022 J jnl
eRiskCom: an e-commerce risky community detection platform.
VLDB J.
Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng
2021 J jnl
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks.
ACM Trans. Intell. Syst. Technol.
Zhenchang Xia, Jia Wu, Libing Wu, Yanjiao Chen, Jian Yang, Philip S. Yu
2021 J jnl
A Comprehensive Survey on Community Detection with Deep Learning.
CoRR
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
2021 J jnl
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning.
CoRR
Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Quan Z. Sheng, Hui Xiong
2021 J jnl
A fairness-aware multi-stakeholder recommender system.
World Wide Web
Naime Ranjbar Kermany, Weiliang Zhao, Jian Yang, Jia Wu, Luiz Pizzato
2021 A* conf
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
ICDM
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021 J jnl
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
CoRR
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021 J jnl
Analysis and improvement of the latency-based congestion control algorithm DX.
Future Gener. Comput. Syst.
Wanchun Jiang, Haoyang Li, Lijuan Peng, Jia Wu, Chang Ruan, Jianxin Wang
2021 J jnl
CoTrRank: Trust Ranking on Twitter.
IEEE Intell. Syst.
Peiyao Li, Weiliang Zhao, Jian Yang, Jia Wu
2021 J jnl
Deep Reinforcement Learning for Smart City Communication Networks.
IEEE Trans. Ind. Informatics
Zhenchang Xia, Shan Xue, Jia Wu, Yanjiao Chen, Junjie Chen, Libing Wu
2021 A* conf
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences.
ICDM
Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang
2021 A conf
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control.
CIKM
Libing Wu, Min Wang, Dan Wu, Jia Wu
2021 J jnl
Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information.
Neural Networks
Chuang Liu, Jia Wu, Weiwei Liu, Wenbin Hu
2021 J jnl
Exploring an edge convolution and normalization based approach for link prediction in complex networks.
J. Netw. Comput. Appl.
Zhiwei Zhang, Lin Cui, Jia Wu
2021 A* conf
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance.
ICDM
Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng
2021 J jnl
Graph Structure Learning with Variational Information Bottleneck.
CoRR
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2021 A conf
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency.
CIKM
Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun
2021 J jnl
Intelligent Data Collaboration in Heterogeneous-device IoT Platforms.
ACM Trans. Sens. Networks
Danfeng Sun, Jia Wu, Jian Yang, Huifeng Wu
2021 A* conf
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
WWW
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021 J jnl
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
CoRR
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021 J jnl
Multi-task adversarial autoencoder network for face alignment in the wild.
Neurocomputing
Xiaoqian Yue, Jing Li, Jia Wu, Jun Chang, Jun Wan, Jinyan Ma
2021 A* conf
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism.
WWW
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
2021 J jnl
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism.
CoRR
Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
2021 A conf
TWLR: A Novel Truth Inference Approach based on Worker Representations for Crowdsourcing in the Low Redundancy Situation.
ICWS
Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang
2021 A* conf
Task-adaptive Neural Process for User Cold-Start Recommendation.
WWW
Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang
2021 J jnl
Task-adaptive Neural Process for User Cold-Start Recommendation.
CoRR
Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang
2021 J jnl
TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks.
Neural Networks
Zhen Zhang, Jiajun Bu, Zhao Li, Chengwei Yao, Can Wang, Jia Wu
2021 A conf
WorP: A Novel Worker Performance Prediction Model for General Tasks on Crowdsourcing Platforms.
ICWS
Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang
2021 J jnl
dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System.
CoRR
Yang Guo, Tarique Anwar, Jian Yang, Jia Wu
2020 J jnl
A Deep Framework for Cross-Domain and Cross-System Recommendations.
CoRR
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu
2020 A* conf
A Knowledge-Aware Attentional Reasoning Network for Recommendation.
AAAI
Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo
2020 J jnl
Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion.
World Wide Web
Guojia Wan, Bo Du, Shirui Pan, Jia Wu
2020 — conf
An Ethical Multi-Stakeholder Recommender System Based on Evolutionary Multi-Objective Optimization.
SCC
Naime Ranjbar Kermany, Weiliang Zhao, Jian Yang, Jia Wu, Luiz Pizzato
2020 A* conf
AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks.
ICDM
Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Chuan Zhou, Qianli Xing
2020 J jnl
CenEEGs: Valid EEG Selection for Classification.
ACM Trans. Knowl. Discov. Data
Chenglong Dai, Dechang Pi, Stefanie I. Becker, Jia Wu, Lin Cui, Blake W. Johnson
2020 A* conf
Deep Learning for Community Detection: Progress, Challenges and Opportunities.
IJCAI
Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu
2020 J jnl
Deep Learning for Community Detection: Progress, Challenges and Opportunities.
CoRR
Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu
2020 A* conf
Deep Semantic Network Representation.
ICDM
Xuexiong Luo, Jia Wu, Chuan Zhou, Xiankun Zhang, Yuan Wang
2020 J jnl
Detecting the evolving community structure in dynamic social networks.
World Wide Web
Fanzhen Liu, Jia Wu, Shan Xue, Chuan Zhou, Jian Yang, Quanzheng Sheng
2020 J jnl
Dual Implicit Mining-Based Latent Friend Recommendation.
IEEE Trans. Syst. Man Cybern. Syst.
Lin Cui, Jia Wu, Dechang Pi, Peng Zhang, Paul J. Kennedy
2020 J jnl
Dynamic Edge Access System in IoT Environment.
IEEE Internet Things J.
Huifeng Wu, Danfeng Sun, Lan Peng, Yuan Yao, Jia Wu, Quan Z. Sheng, Yi Yan
2020 A* conf
Exploratory Adversarial Attacks on Graph Neural Networks.
ICDM
Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang
2020 — conf
FDA-VeD: A Future-Demand-Aware Vehicle Dispatching Service.
SCC
Yang Guo, Weiliang Zhao, Jian Yang, Zizhu Zhang, Jia Wu, Tarique Anwar
2020 A* conf
Graph Geometry Interaction Learning.
NeurIPS
Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang
2020 J jnl
Graph Geometry Interaction Learning.
CoRR
Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang
2020 A* conf
Graph Stochastic Neural Networks for Semi-supervised Learning.
NeurIPS
Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Jilong Wang
2020 B conf
Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter.
IJCNN
Qi Huang, Junshuai Yu, Jia Wu, Bin Wang
2020 J jnl
Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter.
CoRR
Qi Huang, Junshuai Yu, Jia Wu, Bin Wang
2020 J jnl
IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing.
IEEE Access
Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
2020 J jnl
Infrared and visible image fusion via detail preserving adversarial learning.
Inf. Fusion
Jiayi Ma, Pengwei Liang, Wei Yu, Chen Chen, Xiaojie Guo, Jia Wu, Junjun Jiang
2020 J jnl
Let's CoRank: trust of users and tweets on social networks.
World Wide Web
Peiyao Li, Weiliang Zhao, Jian Yang, Quan Z. Sheng, Jia Wu
2020 J jnl
MeMu: Metric correlation Siamese network and multi-class negative sampling for visual tracking.
Pattern Recognit.
Yafu Xiao, Jing Li, Bo Du, Jia Wu, Jun Chang, Wenfan Zhang
2020 J jnl
Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams.
Complex.
Sanmin Liu, Shan Xue, Fanzhen Liu, Jieren Cheng, Xiulai Li, Chao Kong, Jia Wu
2020 J jnl
Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation.
IEEE Trans. Multim.
Yongshan Zhang, Jia Wu, Zhihua Cai, Philip S. Yu
2020 A* conf
Opinion Maximization in Social Trust Networks.
IJCAI
Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu
2020 J jnl
Opinion Maximization in Social Trust Networks.
CoRR
Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu
2020 A conf
PB-Worker: A Novel Participating Behavior-based Worker Ability Model for General Tasks on Crowdsourcing Platforms.
ICWS
Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang
2020 A* conf
Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System.
KDD
Yipeng Zhang, Bo Du, Lefei Zhang, Jia Wu
2020 J jnl
Siamese capsule networks with global and local features for text classification.
Neurocomputing
Yujia Wu, Jing Li, Jia Wu, Jun Chang
2020 J jnl
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications.
CoRR
Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang
2020 A* conf
Temporal Network Embedding with High-Order Nonlinear Information.
AAAI
Zhenyu Qiu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Xiaohua Jia
2020 J jnl
Time-Variant Graph Classification.
IEEE Trans. Syst. Man Cybern. Syst.
Haishuai Wang, Jia Wu, Xingquan Zhu, Yixin Chen, Chengqi Zhang
2020 C conf
dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System.
MobiQuitous
Yang Guo, Tarique Anwar, Jian Yang, Jia Wu
2019 J jnl
A Correlation-Based Feature Weighting Filter for Naive Bayes.
IEEE Trans. Knowl. Data Eng.
Liangxiao Jiang, Lungan Zhang, Chaoqun Li, Jia Wu
2019 J jnl
A Destination Prediction Network Based on Spatiotemporal Data for Bike-Sharing.
Complex.
Jian Jiang, Fei Lin, Jin Fan, Hang Lv, Jia Wu
2019 J jnl
An unsupervised parameter learning model for RVFL neural network.
Neural Networks
Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu
2019 A* conf
Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest.
ICDM
Xindong Wu, Jia Wu, Xiaoyi Fu, Jiachen Li, Peng Zhou, Xu Jiang
2019 A* conf
CoTrRank: Trust Evaluation of Users and Tweets.
IJCAI
Peiyao Li, Weiliang Zhao, Jian Yang, Jia Wu
2019 A* conf
Deep Active Learning for Anchor User Prediction.
IJCAI
Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo
2019 J jnl
Deep Active Learning for Anchor User Prediction.
CoRR
Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo
2019 B conf
Deep Structure Learning for Rumor Detection on Twitter.
IJCNN
Qi Huang, Chuan Zhou, Jia Wu, Mingwen Wang, Bin Wang
2019 A* conf
DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction.
ICDM
Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Wenbin Hu, Qianli Xing
2019 J jnl
Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks.
ACM Trans. Knowl. Discov. Data
Huan Wang, Jia Wu, Wenbin Hu, Xindong Wu
2019 B conf
Evolutionary Community Detection in Dynamic Social Networks.
IJCNN
Fanzhen Liu, Jia Wu, Chuan Zhou, Jian Yang
2019 B conf
GroExpert: A Novel Group-Aware Experts Identification Approach in Crowdsourcing.
WISE
Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang, Mei Wang
2019 A* conf
Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding.
ICDM
Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang
2019 J jnl
IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments.
IEEE Access
Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang
2019 J jnl
Improved Coupled Tensor Factorization with Its Applications in Health Data Analysis.
Complex.
Qing Wu, Jie Wang, Jin Fan, Gang Xu, Jia Wu, Blake W. Johnson, Xingfei Li, Quan Do, Ruiquan Ge
2019 J jnl
Learning Shapelet Patterns from Network-Based Time Series.
IEEE Trans. Ind. Informatics
Haishuai Wang, Jia Wu, Peng Zhang, Yixin Chen
2019 A* conf
Link Prediction with Signed Latent Factors in Signed Social Networks.
KDD
Pinghua Xu, Wenbin Hu, Jia Wu, Bo Du
2019 C conf
Modeling and Analysis of the Latency-Based Congestion Control Algorithm DX.
NPC
Wanchun Jiang, Lijuan Peng, Chang Ruan, Jia Wu, Jianxin Wang
2019 J jnl
Multi-View Fusion with Extreme Learning Machine for Clustering.
ACM Trans. Intell. Syst. Technol.
Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu
2019 A* conf
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs.
IJCAI
Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo
2019 A* conf
Noise-Resilient Similarity Preserving Network Embedding for Social Networks.
IJCAI
Zhenyu Qiu, Wenbin Hu, Jia Wu, Zhongzheng Tang, Xiaohua Jia
2019 J jnl
Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Jiayi Ma, Jia Wu, Ji Zhao, Junjun Jiang, Huabing Zhou, Quan Z. Sheng
2019 — conf
ReInCre: Enhancing Collaborative Filtering Recommendations by Incorporating User Rating Credibility.
WISE Workshops
Naime Ranjbar Kermany, Weiliang Zhao, Jian Yang, Jia Wu
2019 J jnl
Robust correlation filter tracking with multi-scale spatial view.
Neurocomputing
Yafu Xiao, Jing Li, Bo Du, Jia Wu, Xuefei Li, Jun Chang, Yifei Zhou
2019 J jnl
Salient Subsequence Learning for Time Series Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang
2019 B conf
Smooth Deep Network Embedding.
IJCNN
Mengyu Zheng, Chuan Zhou, Jia Wu, Li Guo
2019 A* conf
Social Trust Network Embedding.
ICDM
Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Jian Yang
2019 J jnl
Time series feature learning with labeled and unlabeled data.
Pattern Recognit.
Haishuai Wang, Qin Zhang, Jia Wu, Shirui Pan, Yixin Chen
2018 A* conf
A Deep Framework for Cross-Domain and Cross-System Recommendations.
IJCAI
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu
2018 B conf
A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets.
IJCNN
Qikui Zhu, Bo Du, Jia Wu, Pingkun Yan
2018 J jnl
A Novel Consistent Random Forest Framework: Bernoulli Random Forests.
IEEE Trans. Neural Networks Learn. Syst.
Yisen Wang, Shu-Tao Xia, Qingtao Tang, Jia Wu, Xingquan Zhu
2018 B conf
A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder.
IJCNN
Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang
2018 A* conf
Active Discriminative Network Representation Learning.
IJCAI
Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu
2018 J jnl
Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications.
Complex.
Jia Wu, Shirui Pan, Chuan Zhou, Gang Li, Wu He, Chengqi Zhang
2018 — ed.
Applications and Techniques in Information Security - 9th International Conference, ATIS 2018, Nanning, China, November 9-11, 2018, Proceedings
ATIS
Qingfeng Chen, Jia Wu, Shichao Zhang, Changan Yuan, Lynn Batten, Gang Li
2018 A conf
Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification.
SDM
Chenglong Dai, Jia Wu, Dechang Pi, Lin Cui
2018 J jnl
Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification.
CoRR
Chenglong Dai, Jia Wu, Dechang Pi, Lin Cui
2018 A conf
DAliM: Machine Learning Based Intelligent Lucky Money Determination for Large-Scale E-Commerce Businesses.
ICSOC
Min Fu, Chi Man Wong, Hai Zhu, Yanjun Huang, Yuanping Li, Xi Zheng, Jia Wu, Jian Yang, Chi-Man Vong
2018 A* conf
Deep Structure Learning for Fraud Detection.
ICDM
Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang
2018 J jnl
Dual influence embedded social recommendation.
World Wide Web
Qinzhe Zhang, Jia Wu, Qin Zhang, Peng Zhang, Guodong Long, Chengqi Zhang
2018 J jnl
Dynamic Island Model based on Spectral Clustering in Genetic Algorithm.
CoRR
Qinxue Meng, Jia Wu, John Ellisy, Paul J. Kennedy
2018 B conf
FraudNE: a Joint Embedding Approach for Fraud Detection.
IJCNN
Mengyu Zheng, Chuan Zhou, Jia Wu, Shirui Pan, Jinqiao Shi, Li Guo
2018 B conf
Individual Interest and Trust Driving Collective Intelligence Awareness for Social Recommendation.
IJCNN
Lin Cui, Caiyin Wang, Jia Wu, Jian Yang, Michael Sheng
2018 J jnl
Multi-Instance Learning with Discriminative Bag Mapping.
IEEE Trans. Knowl. Data Eng.
Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Xindong Wu
2018 J jnl
Multiple Structure-View Learning for Graph Classification.
IEEE Trans. Neural Networks Learn. Syst.
Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2018 A* conf
Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis.
AAAI
Liangchen Song, Bo Du, Lefei Zhang, Liangpei Zhang, Jia Wu, Xuelong Li
2018 B conf
Probabilistic Graph Embedding for Unsupervised Domain Adaptation.
ICPR
Pan Xiao, Bo Du, Shuang Yun, Xue Li, Yipeng Zhang, Jia Wu
2018 A* conf
Recommendation with Multi-Source Heterogeneous Information.
IJCAI
Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu
2018 A* conf
Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering.
IJCAI
Sihan Ma, Lefei Zhang, Wenbin Hu, Yipeng Zhang, Jia Wu, Xuelong Li
2018 A* conf
Social Recommendation with an Essential Preference Space.
AAAI
Chun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo
2018 A conf
TLR: Transfer Latent Representation for Unsupervised Domain Adaptation.
ICME
Pan Xiao, Bo Du, Jia Wu, Lefei Zhang, Ruimin Hu, Xuelong Li
2018 J jnl
TLR: Transfer Latent Representation for Unsupervised Domain Adaptation.
CoRR
Pan Xiao, Bo Du, Jia Wu, Lefei Zhang, Ruimin Hu, Xuelong Li
2018 A conf
VCF: Velocity Correlation Filter, Towards Space-Borne Satellite Video Tracking.
ICME
Jia Shao, Bo Du, Chen Wu, Jia Wu, Ruimin Hu, Xuelong Li
2017 J jnl
A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification.
Knowl. Based Syst.
Yisen Wang, Shu-Tao Xia, Jia Wu
2017 J jnl
Boosting for graph classification with universum.
Knowl. Inf. Syst.
Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang
2017 B conf
CPMF: A collective pairwise matrix factorization model for upcoming event recommendation.
IJCNN
Chun-Yi Liu, Chuan Zhou, Jia Wu, Hongtao Xie, Yue Hu, Li Guo
2017 A* conf
Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation.
AAAI
Li Gao, Jia Wu, Chuan Zhou, Yue Hu
2017 J jnl
Collective Hyping Detection System for Identifying Online Spam Activities.
IEEE Intell. Syst.
Qinzhe Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang
2017 J jnl
Combining Structured Node Content and Topology Information for Networked Graph Clustering.
ACM Trans. Knowl. Discov. Data
Ting Guo, Jia Wu, Xingquan Zhu, Chengqi Zhang
2017 B conf
Dynamic island model based on spectral clustering in genetic algorithm.
IJCNN
Qinxue Meng, Jia Wu, John T. Ellis, Paul J. Kennedy
2017 J jnl
Instance cloned extreme learning machine.
Pattern Recognit.
Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai
2017 J jnl
Link sign prediction by Variational Bayesian Probabilistic Matrix Factorization with Student-t Prior.
Inf. Sci.
Yisen Wang, Fangbing Liu, Shu-Tao Xia, Jia Wu
2017 J jnl
Positive and Unlabeled Multi-Graph Learning.
IEEE Trans. Cybern.
Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Xindong Wu
2017 — conf
Pre-trained Extreme Learning Machine.
ICONIP (5)
Yongshan Zhang, Jia Wu, Zhihua Cai, Siwei Jiang
2017 J jnl
SALE: Self-adaptive LSH encoding for multi-instance learning.
Pattern Recognit.
Dongkuan Xu, Jia Wu, Dewei Li, Yingjie Tian, Xingquan Zhu, Xindong Wu
2017 J jnl
Stacked Convolutional Denoising Auto-Encoders for Feature Representation.
IEEE Trans. Cybern.
Bo Du, Wei Xiong, Jia Wu, Lefei Zhang, Liangpei Zhang, Dacheng Tao
2017 J jnl
Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms.
CoRR
Chengjun Li, Jia Wu
2017 J jnl
Task Sensitive Feature Exploration and Learning for Multitask Graph Classification.
IEEE Trans. Cybern.
Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang
2017 J jnl
Toward value difference metric with attribute weighting.
Knowl. Inf. Syst.
Chaoqun Li, Liangxiao Jiang, Hongwei Li, Jia Wu, Peng Zhang
2017 J jnl
Towards large-scale social networks with online diffusion provenance detection.
Comput. Networks
Haishuai Wang, Jia Wu, Shirui Pan, Peng Zhang, Ling Chen
2016 B conf
A recursive method for big network influence estimation.
IJCNN
Weixue Lu, Chuan Zhou, Jia Wu, Chun-Yi Liu, Li Gao, Yue Hu
2016 A* conf
Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness.
IJCAI
Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu
2016 J jnl
Big social network influence maximization via recursively estimating influence spread.
Knowl. Based Syst.
Weixue Lu, Chuan Zhou, Jia Wu
2016 A conf
Collaborative Social Group Influence for Event Recommendation.
CIKM
Li Gao, Jia Wu, Zhi Qiao, Chuan Zhou, Hong Yang, Yue Hu
2016 A* conf
Direct Discriminative Bag Mapping for Multi-Instance Learning.
AAAI
Jia Wu, Shirui Pan, Peng Zhang, Xingquan Zhu
2016 B conf
Evolutionary lazy learning for Naive Bayes classification.
IJCNN
Yu Bai, Haishuai Wang, Jia Wu, Yun Zhang, Jing Jiang, Guodong Long
2016 A conf
Global and Local Influence-based Social Recommendation.
CIKM
Qinzhe Zhang, Jia Wu, Hong Yang, Weixue Lu, Guodong Long, Chengqi Zhang
2016 A* conf
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.
ICDM
Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang
2016 J jnl
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification.
IEEE Trans. Knowl. Data Eng.
Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2016 A* conf
Joint structure feature exploration and regularization for multi-task graph classification.
ICDE
Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2016 J jnl
Memetic Extreme Learning Machine.
Pattern Recognit.
Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen
2016 B conf
Mining subcascade features for cascade outbreak prediction in big networks.
IJCNN
Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu
2016 J jnl
Multi-graph-view subgraph mining for graph classification.
Knowl. Inf. Syst.
Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2016 B conf
Multi-instance graphical transfer clustering for traffic data learning.
IJCNN
Shan Xue, Jie Lu, Jia Wu, Guangquan Zhang, Li Xiong
2016 — conf
Multiple-Instance Learning with Evolutionary Instance Selection.
DASFAA (1)
Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai
2016 A* conf
On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks.
AAAI
Chuan Zhou, Weixue Lu, Peng Zhang, Jia Wu, Yue Hu, Li Guo
2016 J jnl
PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning.
CoRR
Dongkuan Xu, Jia Wu, Wei Zhang, Yingjie Tian
2016 J jnl
SODE: Self-Adaptive One-Dependence Estimators for classification.
Pattern Recognit.
Jia Wu, Shirui Pan, Xingquan Zhu, Peng Zhang, Chengqi Zhang
2016 A* conf
Semi-Data-Driven Network Coarsening.
IJCAI
Li Gao, Jia Wu, Hong Yang, Zhi Qiao, Chuan Zhou, Yue Hu
2016 J jnl
Time-Variant Graph Classification.
CoRR
Haishuai Wang, Jia Wu, Xingquan Zhu, Chengqi Zhang
2016 B conf
Training deep neural networks on imbalanced data sets.
IJCNN
Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy
2016 A* conf
Tri-Party Deep Network Representation.
IJCAI
Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yang Wang
2016 A* conf
Unsupervised Feature Learning from Time Series.
IJCAI
Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang
2015 B conf
A memetic algorithm based extreme learning machine for classification.
IJCNN
Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu
2015 J jnl
Boosting for Multi-Graph Classification.
IEEE Trans. Cybern.
Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai
2015 J jnl
CogBoost: Boosting for Fast Cost-Sensitive Graph Classification.
IEEE Trans. Knowl. Data Eng.
Shirui Pan, Jia Wu, Xingquan Zhu
2015 J jnl
Finding the best not the most: regularized loss minimization subgraph selection for graph classification.
Pattern Recognit.
Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang
2015 J jnl
Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification.
IEEE Trans. Cybern.
Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang
2015 J jnl
Locally Weighted Learning: How and When Does it Work in Bayesian Networks?
Int. J. Comput. Intell. Syst.
Jia Wu, Bi Wu, Shirui Pan, Haishuai Wang, Zhihua Cai
2015 — conf
Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases.
ICONIP (4)
Haishuai Wang, Peng Zhang, Jia Wu, Shirui Pan
2015 A* conf
Multi-Graph-View Learning for Complicated Object Classification.
IJCAI
Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2015 — —
Multi-graph learning
Jia Wu
2015 J jnl
Self-adaptive attribute weighting for Naive Bayes classification.
Expert Syst. Appl.
Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Peng Zhang, Chengqi Zhang
2014 J jnl
A naive Bayes probability estimation model based on self-adaptive differential evolution.
J. Intell. Inf. Syst.
Jia Wu, Zhihua Cai
2014 B conf
Attribute weighting: How and when does it work for Bayesian Network Classification.
IJCNN
Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu, Chengqi Zhang
2014 J jnl
Bag Constrained Structure Pattern Mining for Multi-Graph Classification.
IEEE Trans. Knowl. Data Eng.
Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2014 B conf
Dual instance and attribute weighting for Naive Bayes classification.
IJCNN
Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu, Chengqi Zhang
2014 A conf
Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning.
CIKM
Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2014 J jnl
Learning attribute weighted AODE for ROC area ranking.
Int. J. Inf. Commun. Technol.
Jia Wu, Zhihua Cai
2014 A conf
Multi-Graph Learning with Positive and Unlabeled Bags.
SDM
Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai
2014 — conf
Multi-Instance Learning from Positive and Unlabeled Bags.
PAKDD (1)
Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai
2014 A* conf
Multi-graph-view Learning for Graph Classification.
ICDM
Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2013 J jnl
Active AODE learning based on a novel sampling strategy and its application.
Int. J. Comput. Appl. Technol.
Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao
2013 B conf
Artificial immune system for attribute weighted Naive Bayes classification.
IJCNN
Jia Wu, Zhihua Cai, Sanyou Zeng, Xingquan Zhu
2013 J jnl
Boosting for superparent-one-dependence estimators.
Int. J. Comput. Sci. Math.
Jia Wu, Zhihua Cai
2013 A* conf
Multi-instance Multi-graph Dual Embedding Learning.
ICDM
Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai
2013 B conf
Self-adaptive probability estimation for Naive Bayes classification.
IJCNN
Jia Wu, Zhihua Cai, Xingquan Zhu
2013 J jnl
Weighted Clone Selection Algorithm based on Rough Set Theory.
J. Softw.
Jia Wu, Zhihua Cai, Xiaolin Chen, Meng Li, Bin Guo
2012 J jnl
Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm.
J. Comput.
Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao, Yongshan Zhang
2012 J jnl
Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification.
Int. J. Comput. Appl. Technol.
Jia Wu, Zhihua Cai, Shuang Ao
2009 — conf
An Empirical Study on Several Classification Algorithms and Their Improvements.
ISICA
Jia Wu, Zhechao Gao, Chenxi Hu
2008 — conf
A Combined Classification Algorithm Based on C4.5 and NB.
ISICA
Liangxiao Jiang, Chaoqun Li, Jia Wu, Jian Zhu