Shu Wu

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 185

Top Venues

CoRR

CIKM

AAAI

IEEE Trans. Knowl. Data Eng.

Publications

Shu Wu, Aiqing Zhang, Huining Luo, Jindou Chen
CRT-based group rekeying with efficient dynamically aggregate signature for IoMT. Ad Hoc Networks 159 (2024)
Yuwei Xia, Mengqi Zhang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang, Liang Wang
MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning. Pattern Recognit. 155 (2024)
Hang Yu, Shu Wu, Rencheng Zheng, Ruokun Li, Qidong Wang, Caizhong Chen, Fei Dai, Weibo Chen, Chengyan Wang, He Wang
Generative Adversarial Registration Network for Multi-Contrast Liver MRI Registration and Added Value to Hepatocellular Carcinoma Segmentation: A Multicentre Study. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. WWW (2024)
Liping Wang, Qiang Liu, Mengqi Zhang, Yaxuan Hu, Shu Wu, Liang Wang
Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang
Rethinking Graph Masked Autoencoders through Alignment and Uniformity. AAAI (2024)
Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang
Stealthy Attack on Large Language Model based Recommendation. ACL (1) (2024)
Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. CoRR (2024)
Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. CoRR (2024)
Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. CoRR (2024)
Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. ACL (Findings) (2024)
Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang
Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning. CoRR (2024)
Xiangzhu Meng, Lin Feng, Chonghui Guo, Huibing Wang, Shu Wu
A Unified Framework Based on Graph Consensus Term for Multiview Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang
Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization. CoRR (2024)
Zhao Tong, Qiang Liu, Haichao Shi, Yuwei Xia, Shu Wu, Xiaoyu Zhang
Semantics Fusion of Hierarchical Transformers for Multimodal Named Entity Recognition. ICIC (LNAI 3) (2024)
Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. CoRR (2024)
Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang
Rethinking Graph Masked Autoencoders through Alignment and Uniformity. CoRR (2024)
Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu
Molecular Contrastive Pretraining with Collaborative Featurizations. J. Chem. Inf. Model. 64 (4) (2024)
Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang
Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization. ICASSP (2024)
Han Huang, Haitian Zhong, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
KEBench: A Benchmark on Knowledge Editing for Large Vision-Language Models. CoRR (2024)
Xiang Tao, Mingqing Zhang, Qiang Liu, Shu Wu, Liang Wang
Out-of-distribution Rumor Detection via Test-Time Adaptation. CoRR (2024)
Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen
Knowledge Graph Enhanced Large Language Model Editing. CoRR (2024)
Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. AAAI (2024)
Haisong Gong, Qiang Liu, Shu Wu, Liang Wang
Text-Guided Molecule Generation with Diffusion Language Model. CoRR (2024)
Haisong Gong, Huanhuan Ma, Qiang Liu, Shu Wu, Liang Wang
Navigating the Noisy Crowd: Finding Key Information for Claim Verification. CoRR (2024)
Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang
Stealthy Attack on Large Language Model based Recommendation. CoRR (2024)
Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu
CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. SDM (2024)
Haisong Gong, Qiang Liu, Shu Wu, Liang Wang
Text-Guided Molecule Generation with Diffusion Language Model. AAAI (2024)
Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang, Qiang Liu, Shu Wu
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification. ACL (Findings) (2024)
Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiao-Yu Zhang
Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting. ACL (Findings) (2024)
Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. KDD (2024)
Shu Wu, Aiqing Zhang, Ya Gao, Xiaojuan Xie
Patient-centric medical service matching with fine-grained access control and dynamic user management. Comput. Stand. Interfaces 89 (2024)
Qiang Liu, Xiang Tao, Junfei Wu, Shu Wu, Liang Wang
Can Large Language Models Detect Rumors on Social Media? CoRR (2024)
Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai
DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Yimeng Gu, Mengqi Zhang, Ignacio Castro, Shu Wu, Gareth Tyson
Learning Domain-Invariant Features for Out-of-Context News Detection. CoRR (2024)
Shu Wu, Aiqing Zhang, Jindou Chen, Guangyu Peng, Ya Gao
A Blockchain-Assisted Lightweight Anonymous Authentication Scheme for Medical Services in Internet of Medical Things. Wirel. Pers. Commun. 131 (2) (2023)
Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
GSLB: The Graph Structure Learning Benchmark. CoRR (2023)
Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. CoRR (2023)
Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang
Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. WWW (2023)
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
GSLB: The Graph Structure Learning Benchmark. NeurIPS (2023)
Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang
Learning Latent Relations for Temporal Knowledge Graph Reasoning. ACL (1) (2023)
Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang
RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang, Qiang Liu, Shu Wu, Liang Wang
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification. CoRR (2023)
Yong Wang, Aiqing Zhang, Shu Wu, Shui Yu
VOSA: Verifiable and Oblivious Secure Aggregation for Privacy-Preserving Federated Learning. IEEE Trans. Dependable Secur. Comput. 20 (5) (2023)
Qiang Liu, Junfei Wu, Shu Wu, Liang Wang
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing. CoRR (2023)
Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang
Counterfactual Debiasing for Fact Verification. ACL (1) (2023)
Wenbo Hu, Xin Sun, Qiang Liu, Shu Wu
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. CoRR (2023)
Shu Wu, Aiqing Zhang, Huining Luo
EF-CRT: Group Key Update and Batch Verification Based on Euler Function and Chinese Remainder Theorem for Edge-Fog Computing Networks. IEEE Syst. J. 17 (4) (2023)
Chang Zhang, Xiangzhu Meng, Qiang Liu, Shu Wu, Liang Wang, Huansheng Ning
FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis. Neurocomputing 559 (2023)
Di Zhang, Yaping Gong, Hui Chen, Quan Shi, Yanxin Zhang, Shu Wu
Risk assessment of tanker washing based on AHP-risk matrix method. ICBAR (2023)
Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiao-Yu Zhang
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. CoRR (2023)
Xiangzhu Meng, Wei Wei, Qiang Liu, Shu Wu, Liang Wang
TCGF: A unified tensorized consensus graph framework for multi-view representation learning. CoRR (2023)
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Xin Sun, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang
Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction. EMNLP (Findings) (2023)
Xuelong Hu, Yulong Qiao, Panpan Zhou, Jianlan Zhong, Shu Wu
Modified one-sided EWMA charts for monitoring time between events. Commun. Stat. Simul. Comput. 52 (3) (2023)
Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
Uncovering Neural Scaling Laws in Molecular Representation Learning. NeurIPS (2023)
Zewen Long, Liang Wang, Qiang Liu, Shu Wu
Personalized Interest Sustainability Modeling for Sequential POI Recommendation. CIKM (2023)
Shu Wu, Philippe Castagliola, Athanasios C. Rakitzis, Petros E. Maravelakis
Design of attribute EWMA type control charts with reliable run length performance. Commun. Stat. Simul. Comput. 52 (9) (2023)
Qiang Liu, Zhaocheng Liu, Zhenxi Zhu, Shu Wu, Liang Wang
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation. CoRR (2023)
Mingxi Zhao, Shu Wu
Common Institutional Ownership and Corporate Green Innovation: Supervision or Collusion?-Evidence from Chinese Listed Companies. DMI (2023)
Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
Uncovering Neural Scaling Laws in Molecular Representation Learning. CoRR (2023)
Xiangzhu Meng, Wei Wei, Qiang Liu, Shu Wu, Liang Wang
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis. CoRR (2023)
Qiyue Yin, Jun Yang, Kaiqi Huang, Meijing Zhao, Wancheng Ni, Bin Liang, Yan Huang, Shu Wu, Liang Wang
AI in Human-computer Gaming: Techniques, Challenges and Opportunities. Int. J. Autom. Comput. 20 (3) (2023)
Weiyu Guo, Zhijiang Yang, Shu Wu, Xiuli Wang, Fu Chen
Explainable enterprise credit rating using deep feature crossing. Expert Syst. Appl. 220 (2023)
Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. SIGIR (2023)
Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu, Liang Wang
Dynamic Graph Neural Networks for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang
Evidence-aware Fake News Detection with Graph Neural Networks. WWW (2022)
Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks. CoRR (2022)
Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. CoRR (2022)
Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu
Improving Molecular Pretraining with Complementary Featurizations. CoRR (2022)
Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang
Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection. CoRR (2022)
Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. ICDM (2022)
Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang
Deep Contrastive Multiview Network Embedding. CIKM (2022)
Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu
Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention. SIGIR (2022)
Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu
A Survey on Deep Graph Generation: Methods and Applications. CoRR (2022)
Fenyu Hu, Zeyu Cui, Shu Wu, Qiang Liu, Jinlin Wu, Liang Wang, Tieniu Tan
Second-Order Global Attention Networks for Graph Classification and Regression. CICAI (2) (2022)
Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiao-Yu Zhang
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. EMNLP (2022)
Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
GraphDIVE: Graph Classification by Mixture of Diverse Experts. IJCAI (2022)
Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang
RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring. CoRR (2022)
Xuelong Hu, Suying Zhang, Guan Sun, Jianlan Zhong, Shu Wu
Modified One-Sided EWMA Charts without- and with Variable Sampling Intervals for Monitoring a Normal Process. Symmetry 14 (1) (2022)
Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu
Structure-Enhanced Heterogeneous Graph Contrastive Learning. SDM (2022)
Mengqi Zhang, Shu Wu, Meng Gao, Xin Jiang, Ke Xu, Liang Wang
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Liping Wang, Qiang Liu, Huanhuan Ma, Shu Wu, Liang Wang
Multi-Cause Learning for Diagnosis Prediction. DMBD (1) (2022)
Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu
A Survey on Deep Graph Generation: Methods and Applications. LoG (2022)
Liping Wang, Fenyu Hu, Shu Wu, Liang Wang
Fully Hyperbolic Graph Convolution Network for Recommendation. CoRR (2021)
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang
Mining Latent Structures for Multimedia Recommendation. ACM Multimedia (2021)
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang
Mining Latent Structures for Multimedia Recommendation. CoRR (2021)
Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan
GraphAIR: Graph representation learning with neighborhood aggregation and interaction. Pattern Recognit. 112 (2021)
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu
Cold-start Sequential Recommendation via Meta Learner. AAAI (2021)
Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang
Disentangled Item Representation for Recommender Systems. ACM Trans. Intell. Syst. Technol. 12 (2) (2021)
Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang
A Graph-based Relevance Matching Model for Ad-hoc Retrieval. CoRR (2021)
Liping Wang, Fenyu Hu, Shu Wu, Liang Wang
Label-informed Graph Structure Learning for Node Classification. CIKM (2021)
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
Graph Contrastive Learning with Adaptive Augmentation. WWW (2021)
Mengqi Zhang, Shu Wu, Xueli Yu, Liang Wang
Dynamic Graph Neural Networks for Sequential Recommendation. CoRR (2021)
Liping Wang, Fenyu Hu, Shu Wu, Liang Wang
Fully Hyperbolic Graph Convolution Network for Recommendation. CIKM (2021)
Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network. CoRR (2021)
Mengqi Zhang, Yanqiao Zhu, Shu Wu, Liang Wang
Deep Contrastive Learning for Multi-View Network Embedding. CoRR (2021)
Liping Wang, Fenyu Hu, Shu Wu, Liang Wang
Label-informed Graph Structure Learning for Node Classification. CoRR (2021)
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang
Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shu Wu