| 2026 | AAAI | Can Molecular Evolution Mechanism Enhance Molecular Representation? | Kun Li, Longtao Hu, Jiameng Chen, Hongzhi Zhang, Yida Xiong, Xiantao Cai, Wenbin Hu, Jia Wu |
| 2026 | AAAI | Sequence-Free for Compound Protein Interaction Prediction. | Hongzhi Zhang, Jiameng Chen, Kun Li, Yida Xiong, Xiantao Cai, Wenbin Hu, Jia Wu |
| 2026 | ICDE | Generalized Local Prominence for Source Detection in Real-World Rumor Networks (Extended Abstract). | Syed Shafat Ali, Ajay Rastogi, Tarique Anwar, Syed Afzal Murtaza Rizvi, Jian Yang, Jia Wu, Quan Z. Sheng |
| 2026 | WWW | Modeling Endogenous Logic: Causal Neuro-Symbolic Reasoning Model for Explainable Multi-Behavior Recommendation. | Yuzhe Chen, Jie Cao, Youquan Wang, Haicheng Tao, Darko B. Vukovic, Jia Wu |
| 2026 | WWW | Hi-GMAE: Hierarchical Graph Masked Autoencoders. | Chuang Liu, Zelin Yao, Xueqi Ma, Mukun Chen, Luzhi Wang, Jia Wu, Wenbin Hu |
| 2026 | WWW | LHG: LLM-enhanced and Heterogeneous Graph-induced for Unsupervised Social Event Detection. | Zitai Qiu, Rongwei Xu, Congbo Ma, Shan Xue, Jian Yang, Guanfeng Liu, Quan Z. Sheng, Amin Beheshti, Jia Wu |
| 2026 | WWW | MARCH: Multi-Teacher Contrastive Hypergraph Distillation. | Rongwei Xu, Zitai Qiu, Pengfei Ding, Jia Wu, Yan Wang, Amin Beheshti, Guanfeng Liu |
| 2026 | WWW | Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning. | Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu |
| 2026 | WWW | PIGCN: Physics-Inspired Graph Convolution Networks for Heterogeneous Social Event Detection. | Yongsheng Yu, Congbo Ma, Zitai Qiu, Shan Xue, Jian Yang, Jia Wu |
| 2026 | WSDM | Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation. | Rongwei Xu, Zitai Qiu, Pengfei Ding, Yan Wang, Jia Wu, Amin Beheshti, Guanfeng Liu |
| 2025 | AAAI | Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation. | Nian Rong, Fei Xiong, Shirui Pan, Guixun Luo, Jia Wu, Liang Wang |
| 2025 | ACL | Explicit and Implicit Data Augmentation for Social Event Detection. | Congbo Ma, Yuxia Wang, Jia Wu, Jian Yang, Jing Du, Zitai Qiu, Qing Li, Hu Wang, Preslav Nakov |
| 2025 | ACL | Text is All You Need: LLM-enhanced Incremental Social Event Detection. | Zitai Qiu, Congbo Ma, Jia Wu, Jian Yang |
| 2025 | CIKM | STGS: Spatio-temporal Graph Sparsification Using Reinforcement Learning. | Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Jin Foo, Jia Wu |
| 2025 | EMNLP | Adversarial Attacks Against Automated Fact-Checking: A Survey. | Fanzhen Liu, Sharif Abuadbba, Kristen Moore, Surya Nepal, Ccile Paris, Jia Wu, Jian Yang, Quan Z. Sheng |
| 2025 | EuroSys | Introspective Congestion Control for Consistent High Performance. | Wanchun Jiang, Haoyang Li, Jia Wu, Kai Wang, Fengyuan Ren, Jianxin Wang |
| 2025 | HCI | Biomechanical Analysis of Elbow Joint Angle Variations in Recreational Downhill Sit Skiers Using Motion Sensors to Support Adaptive Gear Development. | Jia Wu, Siddarth Mohanty, Jung Hyup Kim |
| 2025 | IJCAI | Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding. | Jiameng Chen, Xiantao Cai, Jia Wu, Wenbin Hu |
| 2025 | IJCAI | STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation. | Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu |
| 2025 | IJCAI | Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph. | Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang |
| 2025 | IJCNN | Enhancing Template-Free Retrosynthesis Prediction with Cross-Modal Fine-Grained Contrastive Learning. | Junqi Zeng, Zelin Yao, Pengyang Song, Jia Wu, Wenbin Hu |
| 2025 | ICWS | Graph-Structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities. | Kun Li, Yida Xiong, Hongzhi Zhang, Xiantao Cai, Jia Wu, Bo Du, Wenbin Hu |
| 2025 | ICWS | From Dispersed Records to Structured Knowledge: A Graph-based Knowledge Modeling Framework for Archival Resources. | Zhaoyang Zhang, Yang Zhang, Quan Z. Sheng, Jia Wu, Yaolin Zhou |
| 2025 | KDD | Global Interpretable Graph-level Anomaly Detection via Prototype. | Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng |
| 2025 | WWW | Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. | Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu |
| 2025 | WWW | A Multiagent-based Framework on RoboCup Simulation System for Enhancing Rescue Operation during Dynamic Disaster Environments. | Qihua Lyu, Xin Cao, Yongsheng Yu, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti |
| 2025 | WWW | Enhanced Social Event Detection through Dynamically Weighted Meta-Paths Modeling. | Congbo Ma, Zitai Qiu, Hu Wang, Jing Du, Shan Xue, Jia Wu, Jian Yang |
| 2025 | SIGIR | Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation. | Kai Zhu, Jing Li, Jia Wu, Yue He, Jun Chang, Guohao Li, Shuyi Zhang |
| 2025 | WSDM | Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification. | Malik Khizar Hayat, Shan Xue, Jia Wu, Bilal Khan, Jian Yang |
| 2025 | SDM | Hierarchical Superpixel Segmentation via Structural Information Theory. | Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu |
| 2024 | ADMA | BiF-AC: A Bidirectional Feedback Actor-Critic Framework for UAV-UGV Graph-Based Search and Rescue Operations. | Xin Cao, He Luo, Guoqiang Wang, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti |
| 2024 | ADMA | UID-Net: Enhancing Click-Through Rate Prediction in Trigger-Induced Recommendation Through User Interest Decomposition. | Jiazhen Lou, Zhao Li, Hong Wen, Jingsong Lv, Jing Zhang, Fuyu Lv, Zulong Chen, Jia Wu |
| 2024 | ADMA | Emotion Graph Augmentation for Detecting Fake News in Online Social Networks. | Xing Su, Yuchen Zhang, Jian Yang, Jia Wu |
| 2024 | CIKM | Hol-Light: A Holistic framework for Efficient and Dynamic Traffic Signal Management. | Siyao Qiao, Jia Wu |
| 2024 | CVPR | MoCha-Stereo: Motif Channel Attention Network for Stereo Matching. | Ziyang Chen, Wei Long, He Yao, Yongjun Zhang, Bingshu Wang, Yongbin Qin, Jia Wu |
| 2024 | EDBT | GraphSUM: Scalable Graph Summarization for Efficient Question Answering. | Nasrin Shabani, Amin Beheshti, Jia Wu, Maryam Khanian Najafabadi, Jin Foo, Alireza Jolfaei |
| 2024 | EMNLP | On Fake News Detection with LLM Enhanced Semantics Mining. | Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu, Hao Fan |
| 2024 | ICASSP | IFNET: Integrating Data Augmentation and Decoupled Attention Fusion for 3D Object Detection. | Zhenchang Xia, Guanqun Zheng, Shengwu Xiong, Jia Wu, Junyin Wang, Chenghu Du |
| 2024 | ICDM | Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis. | Guangwei Dong, Xuexiong Luo, Jing Du, Jia Wu, Shan Xue, Jian Yang, Amin Beheshti |
| 2024 | ICDM | TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection. | Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Quan Z. Sheng, Jian Yang |
| 2024 | ICDM | Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes. | Lujia Lv, Di Wu, Yangyi Xia, Jia Wu, Xiaojing Liu, Yi He |
| 2024 | ICDM | Debunking Fake News in Online Social Networks Without Text Analysis. | Xing Su, Jian Yang, Jia Wu, Zitai Qiu |
| 2024 | IJCAI | Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. | Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu |
| 2024 | IJCAI | Zero-shot Learning for Preclinical Drug Screening. | Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu, Wenbin Hu |
| 2024 | IJCAI | Contrastive Learning Drug Response Models from Natural Language Supervision. | Kun Li, Xiuwen Gong, Jia Wu, Wenbin Hu |
| 2024 | IJCAI | Graph Neural Networks for Brain Graph Learning: A Survey. | Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu |
| 2024 | ICWS | The Open Story Model (OSM): Transforming Big Data into Interactive Narratives. | Fariba Lotfi, Amin Beheshti, Mansour Jamzad, Hamid Beigy, Jia Wu, Philip S. Yu |
| 2024 | KDD | Graph Anomaly Detection with Few Labels: A Data-Centric Approach. | Xiaoxiao Ma, Ruikun Li, Fanzhen Liu, Kaize Ding, Jian Yang, Jia Wu |
| 2024 | MICCAI | Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification. | Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral |
| 2024 | WWW | An Efficient Automatic Meta-Path Selection for Social Event Detection via Hyperbolic Space. | Zitai Qiu, Congbo Ma, Jia Wu, Jian Yang |
| 2024 | WWW | Heterogeneous Subgraph Transformer for Fake News Detection. | Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan |
| 2024 | WISE | Time Distance Aware for Multi-component Graph Collaborative Filtering. | Tseesuren Batsuuri, Shan Xue, Jian Yang, Jia Wu |
| 2024 | WSDM | An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis. | Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue |
| 2023 | ADMA | Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model. | Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong |
| 2023 | ADMA | EmoKnow: Emotion- and Knowledge-Oriented Model for COVID-19 Fake News Detection. | Yuchen Zhang, Xing Su, Jia Wu, Jian Yang, Hao Fan, Xiaochuan Zheng |
| 2023 | CIKM | Promoting Diversity in Mixed Complex Cooperative and Competitive Multi-Agent Environment. | Jia Wu, Zixiao Huang |
| 2023 | ECAI | CCPO: Conservatively Constrained Policy Optimization Using State Augmentation. | Zepeng Wang, Xiaochuan Shi, Chao Ma, Libing Wu, Jia Wu |
| 2023 | ECIR | Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce. | Li Zheng, Zhao Li, Jun Gao, Zhenpeng Li, Jia Wu, Chuan Zhou |
| 2023 | HCI | Exploring Smart Sportswear for Sit Skiers - Human-Centered Design Approach. | Jia Wu, Jung Hyup Kim, Li Zhao |
| 2023 | IJCAI | Cross-Domain Facial Expression Recognition via Disentangling Identity Representation. | Tong Liu, Jing Li, Jia Wu, Lefei Zhang, Shanshan Zhao, Jun Chang, Jun Wan |
| 2023 | IJCAI | Gapformer: Graph Transformer with Graph Pooling for Node Classification. | Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu |
| 2023 | IJCAI | Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. | Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao |
| 2023 | IJCAI | Don't Ignore Alienation and Marginalization: Correlating Fraud Detection. | Yilong Zang, Ruimin Hu, Zheng Wang, Danni Xu, Jia Wu, Dengshi Li, Junhang Wu, Lingfei Ren |
| 2023 | IJCNN | Segformer: Segment-Based Transformer with Decomposition for Long-Term Series Forecasting. | Jinhua Chen, Jin Fan, Zhen Liu, Jiaqian Xiang, Jia Wu |
| 2023 | IJCNN | OOA-UADS: Offline, Online, Analysis-an Unsupervised Anomaly Detection Solution for Multivariate Time Series. | Jin Fan, Zhanyu Si, Zehao Wang, Danfeng Sun, Jia Wu, Huifeng Wu |
| 2023 | IJCNN | Worldwide COVID-19 Topic Knowledge Graph Analysis From Social Media. | Yuchen Zhang, Yifan Wang, Hao Fan, Jing Li, Jia Wu |
| 2023 | KDD | Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping. | Xiaoxiao Ma, Jia Wu, Jian Yang, Quan Z. Sheng |
| 2023 | WWW | Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. | Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li |
| 2023 | WWW | CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. | Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang |
| 2023 | WWW | KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. | Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu |
| 2023 | WWW | SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. | Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu |
| 2023 | WISE | Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning. | Hongjiao Liu, Shan Xue, Jian Yang, Jia Wu |
| 2023 | WSDM | Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. | Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu |
| 2023 | WSDM | Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks. | Xing Su, Jian Yang, Jia Wu, Yuchen Zhang |
| 2023 | WSDM | Minimum Entropy Principle Guided Graph Neural Networks. | Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su |
| 2023 | SSDBM | Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection. | Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Hao Fan |
| 2022 | AAAI | Graph Structure Learning with Variational Information Bottleneck. | Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu |
| 2022 | ACCV | Understanding Tumor Micro Environment Using Graph Theory. | Kinza Rohail, Saba Bashir, Hazrat Ali, Tanvir Alam, Sheheryar Khan, Jia Wu, Pingjun Chen, Rizwan Qureshi |
| 2022 | CIKM | Meta-Reinforcement Learning for Multiple Traffic Signals Control. | Yican Lou, Jia Wu, Yunchuan Ran |
| 2022 | CIKM | From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection. | Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He |
| 2022 | CIKM | Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. | Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu |
| 2022 | CIKM | Automating DBSCAN via Deep Reinforcement Learning. | Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu |
| 2022 | HCI | Examining the Usability of a Short-Video App Interface Through an Eye-Tracking Experiment. | Jia Wu, Rui Zhou, Nan Chen, Yujie Shi |
| 2022 | ICDM | DAGAD: Data Augmentation for Graph Anomaly Detection. | Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal |
| 2022 | ICDM | HiGIL: Hierarchical Graph Inference Learning for Fact Checking. | Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang |
| 2022 | ICDM | Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. | Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li |
| 2022 | IJCAI | Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. | Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng |
| 2022 | INFOCOM | Copa+: Analysis and Improvement of the Delay-based Congestion Control Algorithm Copa. | Wanchun Jiang, Haoyang Li, Zheyuan Liu, Jia Wu, Jiawei Huang, Danfeng Shan, Jianxin Wang |
| 2022 | ICSOC | PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System. | Naime Ranjbar Kermany, Luiz Pizzato, Jian Yang, Shan Xue, Jia Wu |
| 2022 | ICWS | Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory. | Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu |
| 2022 | MICCAI | Is More Always Better? Effects of Patch Sampling in Distinguishing Chronic Lymphocytic Leukemia from Transformation to Diffuse Large B-Cell Lymphoma. | Rukhmini Bandyopadhyay, Pingjun Chen, Siba El Hussein, Frank R. Rojas, Kingsley Ebare, Ignacio I. Wistuba, Luisa M. Solis Soto, L. Jeffrey Medeiros, Jianjun Zhang, Joseph D. Khoury, Jia Wu |
| 2022 | MICCAI | Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma. | Pingjun Chen, Maliazurina B. Saad, Frank R. Rojas, Morteza Salehjahromi, Muhammad Aminu, Rukhmini Bandyopadhyay, Lingzhi Hong, Kingsley Ebare, Carmen Behrens, Don L. Gibbons, Neda Kalhor, John V. Heymach, Ignacio I. Wistuba, Luisa M. Solis Soto, Jianjun Zhang, Jia Wu |
| 2022 | WWW | Curvature Graph Generative Adversarial Networks. | Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng |
| 2022 | WWW | H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. | Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu |
| 2022 | WWW | Dual-branch Density Ratio Estimation for Signed Network Embedding. | Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu |
| 2022 | WSDM | Fair-SRS: A Fair Session-based Recommendation System. | Naime Ranjbar Kermany, Jian Yang, Jia Wu, Luiz Pizzato |
| 2022 | WSDM | ComGA: Community-Aware Attributed Graph Anomaly Detection. | Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue |
| 2021 | CIKM | Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. | Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun |
| 2021 | CIKM | DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control. | Libing Wu, Min Wang, Dan Wu, Jia Wu |
| 2021 | ICDM | ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. | Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu |
| 2021 | ICDM | Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. | Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang |
| 2021 | ICDM | FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. | Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng |
| 2021 | ICWS | TWLR: A Novel Truth Inference Approach based on Worker Representations for Crowdsourcing in the Low Redundancy Situation. | Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang |
| 2021 | ICWS | WorP: A Novel Worker Performance Prediction Model for General Tasks on Crowdsourcing Platforms. | Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang |
| 2021 | MICCAI | Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms. | Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph D. Khoury, Jia Wu |
| 2021 | WWW | Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. | Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu |
| 2021 | WWW | Task-adaptive Neural Process for User Cold-Start Recommendation. | Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang |
| 2021 | WWW | SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. | Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He |
| 2020 | AAAI | Temporal Network Embedding with High-Order Nonlinear Information. | Zhenyu Qiu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Xiaohua Jia |
| 2020 | AAAI | A Knowledge-Aware Attentional Reasoning Network for Recommendation. | Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo |
| 2020 | HPCC | Efficient Hyperparameters optimization Through Model-based Reinforcement Learning and Meta-Learning. | Xiyuan Liu, Jia Wu, Senpeng Chen |
| 2020 | ICDM | Exploratory Adversarial Attacks on Graph Neural Networks. | Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang |
| 2020 | ICDM | Deep Semantic Network Representation. | Xuexiong Luo, Jia Wu, Chuan Zhou, Xiankun Zhang, Yuan Wang |
| 2020 | ICDM | AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks. | Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Chuan Zhou, Qianli Xing |
| 2020 | ICIP | Automatic Measurement of Fetal Cavum Septum Pellucidum From Ultrasound Images Using Deep Attention Network. | Yuzhou Wu, Kuifang Shen, Zhigang Chen, Jia Wu |
| 2020 | IJCAI | Deep Learning for Community Detection: Progress, Challenges and Opportunities. | Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Ccile Paris, Surya Nepal, Jian Yang, Philip S. Yu |
| 2020 | IJCAI | Opinion Maximization in Social Trust Networks. | Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu |
| 2020 | IJCNN | Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter. | Qi Huang, Junshuai Yu, Jia Wu, Bin Wang |
| 2020 | ICTAI | Hierarchical Joint Control for Urban Mixed-Autonomy Traffic Optimization. | Jia Wu, Ziyan Li |
| 2020 | ICWS | PB-Worker: A Novel Participating Behavior-based Worker Ability Model for General Tasks on Crowdsourcing Platforms. | Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang |
| 2020 | KDD | Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System. | Yipeng Zhang, Bo Du, Lefei Zhang, Jia Wu |
| 2020 | Mobiquitous | dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System. | Yang Guo, Tarique Anwar, Jian Yang, Jia Wu |
| 2020 | NPC | An Efficient Data Transmission Strategy for Edge-Computing-Based Opportunistic Social Networks. | Jingwen Luo, Jia Wu, Yuzhou Wu |
| 2020 | NPC | An Adaptive Delay-Limited Offloading Scheme Based on Multi-round Auction Model for Mobile Edge Computing. | Huamei Qi, Yiran Wang, Su Jiang, Chunmeng Yang, Jia Wu |
| 2020 | NPC | A Medical Support System for Prostate Cancer Based on Ensemble Method in Developing Countries. | Qinghe Zhuang, Jia Wu, Genghua Yu |
| 2019 | ICDM | Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest. | Xindong Wu, Jia Wu, Xiaoyi Fu, Jiachen Li, Peng Zhou, Xu Jiang |
| 2019 | ICDM | Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding. | Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang |
| 2019 | ICDM | DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction. | Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Wenbin Hu, Qianli Xing |
| 2019 | ICDM | Social Trust Network Embedding. | Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Jian Yang |
| 2019 | IJCAI | Deep Active Learning for Anchor User Prediction. | Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo |
| 2019 | IJCAI | CoTrRank: Trust Evaluation of Users and Tweets. | Peiyao Li, Weiliang Zhao, Jian Yang, Jia Wu |
| 2019 | IJCAI | Noise-Resilient Similarity Preserving Network Embedding for Social Networks. | Zhenyu Qiu, Wenbin Hu, Jia Wu, Zhongzheng Tang, Xiaohua Jia |
| 2019 | IJCAI | Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. | Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo |
| 2019 | IJCNN | Deep Structure Learning for Rumor Detection on Twitter. | Qi Huang, Chuan Zhou, Jia Wu, Mingwen Wang, Bin Wang |
| 2019 | IJCNN | Evolutionary Community Detection in Dynamic Social Networks. | Fanzhen Liu, Jia Wu, Chuan Zhou, Jian Yang |
| 2019 | IJCNN | RPR-BP: A Deep Reinforcement Learning Method for Automatic Hyperparameter Optimization. | Jia Wu, Senpeng Chen, Xiuyun Chen |
| 2019 | IJCNN | Quantitative Trading on Stock Market Based on Deep Reinforcement Learning. | Jia Wu, Chen Wang, Lidong Xiong, Hongyong Sun |
| 2019 | IJCNN | Smooth Deep Network Embedding. | Mengyu Zheng, Chuan Zhou, Jia Wu, Li Guo |
| 2019 | ICTAI | Deep Reinforcement Learning with Model-Based Acceleration for Hyperparameter Optimization. | Senpeng Chen, Jia Wu, Xiuyun Chen |
| 2019 | ICTAI | Algorithmic Currency Trading Based on Reinforcement Learning Combining Action Shaping and Advantage Function Shaping. | Hongyong Sun, Nan Sang, Jia Wu, Chen Wang |
| 2019 | KDD | Link Prediction with Signed Latent Factors in Signed Social Networks. | Pinghua Xu, Wenbin Hu, Jia Wu, Bo Du |
| 2019 | NPC | Modeling and Analysis of the Latency-Based Congestion Control Algorithm DX. | Wanchun Jiang, Lijuan Peng, Chang Ruan, Jia Wu, Jianxin Wang |
| 2019 | WISE | ReInCre: Enhancing Collaborative Filtering Recommendations by Incorporating User Rating Credibility. | Naime Ranjbar Kermany, Weiliang Zhao, Jian Yang, Jia Wu |
| 2019 | WISE | GroExpert: A Novel Group-Aware Experts Identification Approach in Crowdsourcing. | Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang, Mei Wang |
| 2018 | AAAI | Social Recommendation with an Essential Preference Space. | Chun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo |
| 2018 | AAAI | Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis. | Liangchen Song, Bo Du, Lefei Zhang, Liangpei Zhang, Jia Wu, Xuelong Li |
| 2018 | ICDM | Deep Structure Learning for Fraud Detection. | Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang |
| 2018 | IJCAI | Recommendation with Multi-Source Heterogeneous Information. | Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu |
| 2018 | IJCAI | Active Discriminative Network Representation Learning. | Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu |
| 2018 | IJCAI | Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering. | Sihan Ma, Lefei Zhang, Wenbin Hu, Yipeng Zhang, Jia Wu, Xuelong Li |
| 2018 | IJCAI | A Deep Framework for Cross-Domain and Cross-System Recommendations. | Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu |
| 2018 | IJCNN | A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. | Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang |
| 2018 | IJCNN | Individual Interest and Trust Driving Collective Intelligence Awareness for Social Recommendation. | Lin Cui, Caiyin Wang, Jia Wu, Jian Yang, Michael Sheng |
| 2018 | ICPR | Probabilistic Graph Embedding for Unsupervised Domain Adaptation. | Pan Xiao, Bo Du, Shuang Yun, Xue Li, Yipeng Zhang, Jia Wu |
| 2018 | IJCNN | FraudNE: a Joint Embedding Approach for Fraud Detection. | Mengyu Zheng, Chuan Zhou, Jia Wu, Shirui Pan, Jinqiao Shi, Li Guo |
| 2018 | IJCNN | A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets. | Qikui Zhu, Bo Du, Jia Wu, Pingkun Yan |
| 2018 | ICSOC | DAliM: Machine Learning Based Intelligent Lucky Money Determination for Large-Scale E-Commerce Businesses. | Min Fu, Chi Man Wong, Hai Zhu, Yanjun Huang, Yuanping Li, Xi Zheng, Jia Wu, Jian Yang, Chi-Man Vong |
| 2018 | SDM | Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification. | Chenglong Dai, Jia Wu, Dechang Pi, Lin Cui |
| 2017 | AAAI | Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation. | Li Gao, Jia Wu, Chuan Zhou, Yue Hu |
| 2017 | ICONIP | Pre-trained Extreme Learning Machine. | Yongshan Zhang, Jia Wu, Zhihua Cai, Siwei Jiang |
| 2017 | IJCNN | CPMF: A collective pairwise matrix factorization model for upcoming event recommendation. | Chun-Yi Liu, Chuan Zhou, Jia Wu, Hongtao Xie, Yue Hu, Li Guo |
| 2017 | IJCNN | Dynamic island model based on spectral clustering in genetic algorithm. | Qinxue Meng, Jia Wu, John T. Ellis, Paul J. Kennedy |
| 2017 | WoWMoM | CSI fingerprinting with SVM regression to achieve device-free passive localization. | Rui Zhou, Jiesong Chen, Xiang Lu, Jia Wu |
| 2016 | AAAI | Direct Discriminative Bag Mapping for Multi-Instance Learning. | Jia Wu, Shirui Pan, Peng Zhang, Xingquan Zhu |
| 2016 | AAAI | On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks. | Chuan Zhou, Weixue Lu, Peng Zhang, Jia Wu, Yue Hu, Li Guo |
| 2016 | CIKM | Collaborative Social Group Influence for Event Recommendation. | Li Gao, Jia Wu, Zhi Qiao, Chuan Zhou, Hong Yang, Yue Hu |
| 2016 | CIKM | Global and Local Influence-based Social Recommendation. | Qinzhe Zhang, Jia Wu, Hong Yang, Weixue Lu, Guodong Long, Chengqi Zhang |
| 2016 | DASFAA | Multiple-Instance Learning with Evolutionary Instance Selection. | Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai |
| 2016 | ICDE | Joint structure feature exploration and regularization for multi-task graph classification. | Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu |
| 2016 | ICDM | Hierarchical Temporal Memory Method for Time-Series-Based Anomaly Detection. | Jia Wu, Weiru Zeng, Zhe Chen, Xue-Fei Tang |
| 2016 | ICDM | Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. | Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang |
| 2016 | IJCAI | Semi-Data-Driven Network Coarsening. | Li Gao, Jia Wu, Hong Yang, Zhi Qiao, Chuan Zhou, Yue Hu |
| 2016 | IJCAI | Tri-Party Deep Network Representation. | Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yang Wang |
| 2016 | IJCAI | Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness. | Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu |
| 2016 | IJCAI | Unsupervised Feature Learning from Time Series. | Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang |
| 2016 | IJCNN | Evolutionary lazy learning for Naive Bayes classification. | Yu Bai, Haishuai Wang, Jia Wu, Yun Zhang, Jing Jiang, Guodong Long |
| 2016 | IJCNN | A recursive method for big network influence estimation. | Weixue Lu, Chuan Zhou, Jia Wu, Chun-Yi Liu, Li Gao, Yue Hu |
| 2016 | IJCNN | Training deep neural networks on imbalanced data sets. | Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy |
| 2016 | IJCNN | Mining subcascade features for cascade outbreak prediction in big networks. | Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu |
| 2016 | IJCNN | Multi-instance graphical transfer clustering for traffic data learning. | Shan Xue, Jie Lu, Jia Wu, Guangquan Zhang, Li Xiong |
| 2015 | ICIG | Handwritten Character Recognition Based on Weighted Integral Image and Probability Model. | Jia Wu, Feipeng Da, Chenxing Wang, Shaoyan Gai |
| 2015 | ICONIP | Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases. | Haishuai Wang, Peng Zhang, Jia Wu, Shirui Pan |
| 2015 | IJCAI | Multi-Graph-View Learning for Complicated Object Classification. | Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang |
| 2015 | IJCNN | A memetic algorithm based extreme learning machine for classification. | Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu |
| 2015 | PACLIC | An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding. | Yiou Lin, Hang Lei, Jia Wu, Xiaoyu Li |
| 2014 | CIKM | Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning. | Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang |
| 2014 | ICDM | Multi-graph-view Learning for Graph Classification. | Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang |
| 2014 | ICPR | Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data. | Jia Wu, Raymond Tse, Linda G. Shapiro |
| 2014 | IJCNN | Attribute weighting: How and when does it work for Bayesian Network Classification. | Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu, Chengqi Zhang |
| 2014 | IJCNN | Dual instance and attribute weighting for Naive Bayes classification. | Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu, Chengqi Zhang |
| 2014 | PAKDD | Multi-Instance Learning from Positive and Unlabeled Bags. | Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai |
| 2014 | SDM | Multi-Graph Learning with Positive and Unlabeled Bags. | Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai |
| 2013 | ICDM | Multi-instance Multi-graph Dual Embedding Learning. | Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai |
| 2013 | IJCNN | Self-adaptive probability estimation for Naive Bayes classification. | Jia Wu, Zhihua Cai, Xingquan Zhu |
| 2013 | IJCNN | Artificial immune system for attribute weighted Naive Bayes classification. | Jia Wu, Zhihua Cai, Sanyou Zeng, Xingquan Zhu |
| 2009 | ICIAP | Shape-Based Classification of 3D Head Data. | Linda G. Shapiro, Katarzyna Wilamowska, Indriyati Atmosukarto, Jia Wu, Carrie Heike, Matthew L. Speltz, Michael L. Cunningham |
| 2009 | VTC | Discrete Methods for Urban Intersection Traffic Controlling. | Jia Wu, Abdeljalil Abbas-Turki, Abdellah El Moudni |
| 2008 | CW | A Study of Intelligent Decision-Making System Based on Neural Networks and Expert System. | Wenjun Hou, Xiangji Li, Yue Jin, Jia Wu |
| 2006 | CSCWD | Research and Design on a Web-Based System for Spatial Data Co-Edit. | Chaozhen Guo, Jianbin Zhuang, Jia Wu |
| 2004 | CSCWD | MA_CORBA: A Mobile Agent System Architecture Based on CORBA. | Xingchen Heng, Chaozhen Guo, Jia Wu |
| 2002 | CSCWD | A Cooperation Mechanism for Spatial Information Sharing. | Chaozhen Guo, Miao Zhuang, Honghong Wang, Xingchen Han, Jia Wu |
| 2001 | CSCWD | Research on Multi-Agent for General Group Decision Support System. | Chaozhen Guo, Wu Dong, Jia Wu |