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2020 – today
- 2024
[j50]Shu Wu, Aiqing Zhang
, Huining Luo, Jindou Chen:
CRT-based group rekeying with efficient dynamically aggregate signature for IoMT. Ad Hoc Networks 159: 103501 (2024)- [j49]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: 103833 (2024) - [j48]Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu:
Molecular Contrastive Pretraining with Collaborative Featurizations. J. Chem. Inf. Model. 64(4): 1112-1122 (2024) - [j47]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: 110629 (2024) - [j46]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): 1714-1727 (2024) - [j45]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): 1773-1784 (2024) - [j44]Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang:
Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36(11): 5591-5604 (2024) - [j43]Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang:
Bi-Level Graph Structure Learning for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. 36(11): 5695-5708 (2024) - [j42]Qiang Liu, Junfei Wu, Shu Wu, Liang Wang:
Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing. IEEE Trans. Knowl. Data Eng. 36(11): 6801-6813 (2024) - [j41]Guofan Liu, Jinghao Zhang, Qiang Liu, Junfei Wu, Shu Wu, Liang Wang:
Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection. IEEE Trans. Knowl. Data Eng. 36(12): 9490-9503 (2024) - [j40]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): 3964-3977 (2024) - [j39]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): 4635-4646 (2024) - [c90]Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang:
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. AAAI 2024: 100-108 - [c89]Haisong Gong, Qiang Liu, Shu Wu, Liang Wang:
Text-Guided Molecule Generation with Diffusion Language Model. AAAI 2024: 109-117 - [c88]Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang:
Rethinking Graph Masked Autoencoders through Alignment and Uniformity. AAAI 2024: 15528-15536 - [c87]Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang:
Stealthy Attack on Large Language Model based Recommendation. ACL (1) 2024: 5839-5857 - [c86]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: 6944-6962 - [c85]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: 9340-9353 - [c84]Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang:
Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting. ACL (Findings) 2024: 16144-16159 - [c83]Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. CIKM 2024: 4273-4277 - [c82]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Knowledge Graph Enhanced Large Language Model Editing. EMNLP 2024: 22647-22662 - [c81]Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization. ICASSP 2024: 4740-4744 - [c80]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: 414-426 - [c79]Xinmei Su, Xiang Xie, Chenguang Hu, Shu Wu, Jing Wang:
Semi-supervised Cross-Lingual Speech Recognition Exploiting Articulatory Features. ICPR (33) 2024: 141-153 - [c78]Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. KDD 2024: 2794-2805 - [c77]Jinghao Zhang, Guofan Liu, Qiang Liu, Shu Wu, Liang Wang:
Modality-Balanced Learning for Multimedia Recommendation. ACM Multimedia 2024: 7551-7560 - [c76]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: 454-462 - [c75]Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang:
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. WWW 2024: 4150-4159 - [i88]Qiang Liu, Xiang Tao, Junfei Wu, Shu Wu, Liang Wang:
Can Large Language Models Detect Rumors on Social Media? CoRR abs/2402.03916 (2024) - [i87]Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang:
Rethinking Graph Masked Autoencoders through Alignment and Uniformity. CoRR abs/2402.07225 (2024) - [i86]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 abs/2402.11622 (2024) - [i85]Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang:
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. CoRR abs/2402.13028 (2024) - [i84]Haisong Gong, Qiang Liu, Shu Wu, Liang Wang:
Text-Guided Molecule Generation with Diffusion Language Model. CoRR abs/2402.13040 (2024) - [i83]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Knowledge Graph Enhanced Large Language Model Editing. CoRR abs/2402.13593 (2024) - [i82]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 abs/2402.14382 (2024) - [i81]Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang:
Stealthy Attack on Large Language Model based Recommendation. CoRR abs/2402.14836 (2024) - [i80]Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. CoRR abs/2403.00037 (2024) - [i79]Han Huang, Haitian Zhong, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
KEBench: A Benchmark on Knowledge Editing for Large Vision-Language Models. CoRR abs/2403.07350 (2024) - [i78]Xiang Tao, Mingqing Zhang, Qiang Liu, Shu Wu, Liang Wang:
Out-of-distribution Rumor Detection via Test-Time Adaptation. CoRR abs/2403.17735 (2024) - [i77]Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang:
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. CoRR abs/2404.16076 (2024) - [i76]Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization. CoRR abs/2406.04756 (2024) - [i75]Yimeng Gu, Mengqi Zhang, Ignacio Castro, Shu Wu, Gareth Tyson:
Learning Domain-Invariant Features for Out-of-Context News Detection. CoRR abs/2406.07430 (2024) - [i74]Haisong Gong, Huanhuan Ma, Qiang Liu, Shu Wu, Liang Wang:
Navigating the Noisy Crowd: Finding Key Information for Claim Verification. CoRR abs/2407.12425 (2024) - [i73]Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. CoRR abs/2408.04400 (2024) - [i72]Jinghao Zhang, Guofan Liu, Qiang Liu, Shu Wu, Liang Wang:
Modality-Balanced Learning for Multimedia Recommendation. CoRR abs/2408.06360 (2024) - [i71]Mengqi Zhang, Bowen Fang, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen, Liang Wang:
Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing. CoRR abs/2408.12456 (2024) - [i70]Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang:
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization. CoRR abs/2409.01081 (2024) - [i69]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Uncovering Overfitting in Large Language Model Editing. CoRR abs/2410.07819 (2024) - [i68]Han Huang, Yuqi Huo, Zijia Zhao, Haoyu Lu, Shu Wu, Bingning Wang, Qiang Liu, Weipeng Chen, Liang Wang:
Beyond Filtering: Adaptive Image-Text Quality Enhancement for MLLM Pretraining. CoRR abs/2410.16166 (2024) - [i67]Liang Wang, Qiang Liu, Shaozhen Liu, Xin Sun, Shu Wu, Liang Wang:
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction. CoRR abs/2411.01158 (2024) - [i66]Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang:
Bi-Level Graph Structure Learning for Next POI Recommendation. CoRR abs/2411.01169 (2024) - 2023
- [j38]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): 1041-1056 (2023) - [j37]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): 4193-4209 (2023) - [j36]Weiyu Guo, Zhijiang Yang, Shu Wu, Xiuli Wang, Fu Chen:
Explainable enterprise credit rating using deep feature crossing. Expert Syst. Appl. 220: 119704 (2023) - [j35]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): 299-317 (2023) - [j34]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: 126791 (2023) - [j33]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): 5987-5998 (2023) - [j32]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): 3601-3616 (2023) - [j31]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): 82:1-82:21 (2023) - [j30]Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu, Liang Wang:
Dynamic Graph Neural Networks for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4741-4753 (2023) - [j29]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): 7427-7439 (2023) - [j28]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): 9154-9167 (2023) - [j27]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): 855-876 (2023) - [c74]Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang:
Counterfactual Debiasing for Fact Verification. ACL (1) 2023: 6777-6789 - [c73]Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang:
Learning Latent Relations for Temporal Knowledge Graph Reasoning. ACL (1) 2023: 12617-12631 - [c72]Zewen Long, Liang Wang, Qiang Liu, Shu Wu:
Personalized Interest Sustainability Modeling for Sequential POI Recommendation. CIKM 2023: 4145-4149 - [c71]Mingxi Zhao, Shu Wu:
Common Institutional Ownership and Corporate Green Innovation: Supervision or Collusion?-Evidence from Chinese Listed Companies. DMI 2023: 14-21 - [c70]Xin Sun, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:
Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction. EMNLP (Findings) 2023: 13145-13157 - [c69]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: 674-680 - [c68]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 - [c67]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 - [c66]Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. SIGIR 2023: 443-452 - [c65]Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang:
Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. WWW 2023: 2412-2422 - [i65]Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiaoyu Zhang:
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. CoRR abs/2302.00893 (2023) - [i64]Wenbo Hu, Xin Sun, Qiang Liu, Shu Wu:
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. CoRR abs/2303.12973 (2023) - [i63]Qiang Liu, Zhaocheng Liu, Zhenxi Zhu, Shu Wu, Liang Wang:
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation. CoRR abs/2304.05615 (2023) - [i62]Qiang Liu, Junfei Wu, Shu Wu, Liang Wang:
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing. CoRR abs/2304.12888 (2023) - [i61]Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. CoRR abs/2306.14179 (2023) - [i60]Xiangzhu Meng, Wei Wei, Qiang Liu, Shu Wu, Liang Wang:
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis. CoRR abs/2309.07947 (2023) - [i59]Xiangzhu Meng, Wei Wei, Qiang Liu, Shu Wu, Liang Wang:
TCGF: A unified tensorized consensus graph framework for multi-view representation learning. CoRR abs/2309.09987 (2023) - [i58]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 abs/2309.15123 (2023) - [i57]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 abs/2310.05174 (2023) - [i56]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 abs/2310.09754 (2023) - 2022
- [j26]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): 159 (2022) - [j25]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): 3946-3957 (2022) - [c64]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: 496-507 - [c63]Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang:
Deep Contrastive Multiview Network Embedding. CIKM 2022: 4692-4696 - [c62]Liping Wang, Qiang Liu, Huanhuan Ma, Shu Wu, Liang Wang:
Multi-Cause Learning for Diagnosis Prediction. DMBD (1) 2022: 320-332 - [c61]Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiaoyu Zhang:
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. EMNLP 2022: 7230-7240 - [c60]Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu:
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. ICDM 2022: 1059-1064 - [c59]Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
GraphDIVE: Graph Classification by Mixture of Diverse Experts. IJCAI 2022: 2080-2086 - [c58]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: 47 - [c57]Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu:
Structure-Enhanced Heterogeneous Graph Contrastive Learning. SDM 2022: 82-90 - [c56]Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu:
Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention. SIGIR 2022: 2308-2313 - [c55]Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang:
Evidence-aware Fake News Detection with Graph Neural Networks. WWW 2022: 2501-2510 - [i55]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 abs/2201.06885 (2022) - [i54]Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu:
A Survey on Deep Graph Generation: Methods and Applications. CoRR abs/2203.06714 (2022) - [i53]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 abs/2206.00568 (2022) - [i52]Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu:
Improving Molecular Pretraining with Complementary Featurizations. CoRR abs/2209.15101 (2022) - [i51]Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang:
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks. CoRR abs/2210.05498 (2022) - [i50]Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu:
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. CoRR abs/2210.12384 (2022) - 2021
- [j24]Song Ding, Ruojin Li, Shu Wu:
A novel composite forecasting framework by adaptive data preprocessing and optimized nonlinear grey Bernoulli model for new energy vehicles sales. Commun. Nonlinear Sci. Numer. Simul. 99: 105847 (2021) - [j23]Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan:
GraphAIR: Graph representation learning with neighborhood aggregation and interaction. Pattern Recognit. 112: 107745 (2021) - [j22]Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang:
Disentangled Item Representation for Recommender Systems. ACM Trans. Intell. Syst. Technol. 12(2): 20:1-20:20 (2021) - [c54]Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang:
A Graph-based Relevance Matching Model for Ad-hoc Retrieval. AAAI 2021: 4688-4696 - [c53]Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu:
Cold-start Sequential Recommendation via Meta Learner. AAAI 2021: 4706-4713 - [c52]Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu:
Deep Active Learning for Text Classification with Diverse Interpretations. CIKM 2021: 3263-3267 - [c51]Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Fully Hyperbolic Graph Convolution Network for Recommendation. CIKM 2021: 3483-3487 - [c50]Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Label-informed Graph Structure Learning for Node Classification. CIKM 2021: 3488-3492 - [c49]Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu:
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. CIKM 2021: 3553-3557 - [c48]Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang:
Relation-aware Heterogeneous Graph for User Profiling. CIKM 2021: 3573-3577 - [c47]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang:
Mining Latent Structures for Multimedia Recommendation. ACM Multimedia 2021: 3872-3880 - [c46]Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu:
An Empirical Study of Graph Contrastive Learning. NeurIPS Datasets and Benchmarks 2021 - [c45]Zeyu Cui, Yinjiang Cai, Shu Wu, Xibo Ma, Liang Wang:
Motif-aware Sequential Recommendation. SIGIR 2021: 1738-1742 - [c44]Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang:
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval. WWW 2021: 778-787 - [c43]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Graph Contrastive Learning with Adaptive Augmentation. WWW 2021: 2069-2080 - [i49]Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu:
Dynamic Graph Collaborative Filtering. CoRR abs/2101.02844 (2021) - [i48]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. CoRR abs/2101.03654 (2021) - [i47]Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang:
A Graph-based Relevance Matching Model for Ad-hoc Retrieval. CoRR abs/2101.11873 (2021) - [i46]Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang:
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval. CoRR abs/2102.11127 (2021) - [i45]Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Deep Graph Structure Learning for Robust Representations: A Survey. CoRR abs/2103.03036 (2021) - [i44]Fenyu Hu, Liping Wang, Shu Wu, Liang Wang, Tieniu Tan:
Graph Classification by Mixture of Diverse Experts. CoRR abs/2103.15622 (2021) - [i43]Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai:
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network. CoRR abs/2104.02962 (2021) - [i42]Mengqi Zhang, Shu Wu, Xueli Yu, Liang Wang:
Dynamic Graph Neural Networks for Sequential Recommendation. CoRR abs/2104.07368 (2021) - [i41]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang:
Mining Latent Structures for Multimedia Recommendation. CoRR abs/2104.09036 (2021) - [i40]Yinjiang Cai, Zeyu Cui, Shu Wu, Zhen Lei, Xibo Ma:
Represent Items by Items: An Enhanced Representation of the Target Item for Recommendation. CoRR abs/2104.12483 (2021) - [i39]Zekun Li, Shu Wu, Zeyu Cui, Xiaoyu Zhang:
GraphFM: Graph Factorization Machines for Feature Interaction Modeling. CoRR abs/2105.11866 (2021) - [i38]Weiyu Guo, Zhijiang Yang, Shu Wu, Fu Chen:
Explainable Enterprise Credit Rating via Deep Feature Crossing Network. CoRR abs/2105.13843 (2021) - [i37]Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Label-informed Graph Structure Learning for Node Classification. CoRR abs/2108.04595 (2021) - [i36]Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Fully Hyperbolic Graph Convolution Network for Recommendation. CoRR abs/2108.04607 (2021) - [i35]Mengqi Zhang, Yanqiao Zhu, Shu Wu, Liang Wang:
Deep Contrastive Learning for Multi-View Network Embedding. CoRR abs/2108.08296 (2021) - [i34]Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu:
Deep Active Learning for Text Classification with Diverse Interpretations. CoRR abs/2108.10687 (2021) - [i33]Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu:
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. CoRR abs/2108.13886 (2021) - [i32]Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu:
An Empirical Study of Graph Contrastive Learning. CoRR abs/2109.01116 (2021) - [i31]Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang:
Relation-aware Heterogeneous Graph for User Profiling. CoRR abs/2110.07181 (2021) - [i30]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang:
Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. CoRR abs/2111.00678 (2021) - 2020
- [j21]Qiang Cui, Shu Wu, Qiang Liu, Wen Zhong, Liang Wang:
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 32(2): 317-331 (2020) - [j20]Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael F. Cohen:
One shot 3D photography. ACM Trans. Graph. 39(4): 76 (2020) - [c42]Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao:
Independence Promoted Graph Disentangled Networks. AAAI 2020: 4916-4923 - [c41]Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, Liang Wang:
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks. ACL 2020: 334-339 - [c40]Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang:
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. CIKM 2020: 2285-2288 - [c39]Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu:
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation. ICDM (Workshops) 2020: 236-242 - [c38]Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu:
Dynamic Graph Collaborative Filtering. ICDM 2020: 322-331 - [c37]Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang:
TFNet: Multi-Semantic Feature Interaction for CTR Prediction. SIGIR 2020: 1885-1888 - [c36]Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. SIGIR 2020: 1921-1924 - [i29]Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, Liang Wang:
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks. CoRR abs/2004.13826 (2020) - [i28]Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. CoRR abs/2005.02844 (2020) - [i27]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Deep Graph Contrastive Representation Learning. CoRR abs/2006.04131 (2020) - [i26]Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang:
TFNet: Multi-Semantic Feature Interaction for CTR Prediction. CoRR abs/2006.15939 (2020) - [i25]Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang:
Disentangled Item Representation for Recommender Systems. CoRR abs/2008.07178 (2020) - [i24]Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael F. Cohen:
One Shot 3D Photography. CoRR abs/2008.12298 (2020) - [i23]Yanqiao Zhu, Yichen Xu, Feng Yu, Shu Wu, Liang Wang:
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning. CoRR abs/2009.01674 (2020) - [i22]Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu:
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation. CoRR abs/2009.10002 (2020) - [i21]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Graph Contrastive Learning with Adaptive Augmentation. CoRR abs/2010.14945 (2020) - [i20]Yanqiao Zhu, Weizhi Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Deep Active Graph Representation Learning. CoRR abs/2010.16091 (2020) - [i19]Zekun Li, Yujia Zheng, Shu Wu, Xiaoyu Zhang, Liang Wang:
Heterogeneous Graph Collaborative Filtering. CoRR abs/2011.06807 (2020) - [i18]Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu:
Cold-start Sequential Recommendation via Meta Learner. CoRR abs/2012.05462 (2020)
2010 – 2019
- 2019
- [j19]Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
Attention-based convolutional approach for misinformation identification from massive and noisy microblog posts. Comput. Secur. 83: 106-121 (2019) - [j18]Qiang Cui, Shu Wu, Yan Huang, Liang Wang:
A hierarchical contextual attention-based network for sequential recommendation. Neurocomputing 358: 141-149 (2019) - [j17]Qiyue Yin, Junge Zhang, Shu Wu, Hexi Li:
Multi-view clustering via joint feature selection and partially constrained cluster label learning. Pattern Recognit. 93: 380-391 (2019) - [c35]Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan:
Session-Based Recommendation with Graph Neural Networks. AAAI 2019: 346-353 - [c34]Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang:
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. CIKM 2019: 539-548 - [c33]Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu:
Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. CIKM 2019: 1703-1712 - [c32]Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang:
Semi-Supervised Compatibility Learning Across Categories for Clothing Matching. ICME 2019: 484-489 - [c31]Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan:
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification. IJCAI 2019: 4532-4539 - [c30]Qiang Cui, Yuyuan Tang, Shu Wu, Liang Wang:
Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction. PAKDD (3) 2019: 289-301 - [c29]Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Liang Wang:
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. WWW 2019: 307-317 - [i17]Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan:
Semi-supervised Node Classification via Hierarchical Graph Convolutional Networks. CoRR abs/1902.06667 (2019) - [i16]Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Liang Wang:
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. CoRR abs/1902.08009 (2019) - [i15]Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock:
Learning Vertex Convolutional Networks for Graph Classification. CoRR abs/1902.09936 (2019) - [i14]Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang:
Semi-supervised Compatibility Learning Across Categories for Clothing Matching. CoRR abs/1907.13304 (2019) - [i13]Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang:
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. CoRR abs/1910.05552 (2019) - [i12]Shu Wu, Mengqi Zhang, Xin Jiang, Ke Xu, Liang Wang:
Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation. CoRR abs/1910.08887 (2019) - [i11]Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan:
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction. CoRR abs/1911.01731 (2019) - [i10]Qiang Liu, Shu Wu, Liang Wang:
Learning Preferences and Demands in Visual Recommendation. CoRR abs/1911.04229 (2019) - [i9]Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao:
Independence Promoted Graph Disentangled Networks. CoRR abs/1911.11430 (2019) - 2018
- [j16]Shu Wu, Anmin Zhou, Zheng Zuo:
PDiOS: iOS应用程序中私有API的调用检测 (PDiOS: Private API Call Detection in iOS Applications). 计算机科学 45(4): 163-168 (2018) - [j15]Qiang Liu, Feng Yu, Shu Wu, Liang Wang:
Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach. ACM Trans. Intell. Syst. Technol. 9(5): 50:1-50:20 (2018) - [j14]Qiyue Yin, Shu Wu, Liang Wang:
Multiview Clustering via Unified and View-Specific Embeddings Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5541-5553 (2018) - [i8]Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan:
Session-based Recommendation with Graph Neural Networks. CoRR abs/1811.00855 (2018) - 2017
- [b1]Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan:
Context-Aware Collaborative Prediction. Springer Briefs in Computer Science, Springer 2017, ISBN 978-981-10-5372-6, pp. 1-69 - [j13]Qiyue Yin, Shu Wu, Liang Wang:
Unified subspace learning for incomplete and unlabeled multi-view data. Pattern Recognit. 67: 313-327 (2017) - [j12]Xiaona Xia, Jiguo Yu, Shanshan Zhang, Shu Wu:
Trusted Service Scheduling and Optimization Strategy Design of Service Recommendation. Secur. Commun. Networks 2017: 9192084:1-9192084:9 (2017) - [j11]Qiang Liu, Shu Wu, Liang Wang:
Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model. IEEE Trans. Knowl. Data Eng. 29(6): 1254-1267 (2017) - [c28]Qiyue Yin, Yan Huang, Shu Wu, Liang Wang:
Learning Shared and Specific Factors for Multi-modal Data. CCCV (2) 2017: 89-98 - [c27]Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
A Convolutional Approach for Misinformation Identification. IJCAI 2017: 3901-3907 - [c26]Qiang Liu, Shu Wu, Liang Wang:
DeepStyle: Learning User Preferences for Visual Recommendation. SIGIR 2017: 841-844 - [c25]Xiaohan Li, Shu Wu, Liang Wang:
Blood Pressure Prediction via Recurrent Models with Contextual Layer. WWW 2017: 685-693 - [i7]Qiang Liu, Feng Yu, Shu Wu, Liang Wang:
Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach. CoRR abs/1706.06314 (2017) - 2016
- [j10]Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan:
Personalized ranking with pairwise Factorization Machines. Neurocomputing 214: 191-200 (2016) - [j9]Shu Wu, Weiyu Guo, Song Xu, Yongzhen Huang, Liang Wang, Tieniu Tan:
Coupled Topic Model for Collaborative Filtering With User-Generated Content. IEEE Trans. Hum. Mach. Syst. 46(6): 908-920 (2016) - [j8]Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan:
Contextual Operation for Recommender Systems. IEEE Trans. Knowl. Data Eng. 28(8): 2000-2012 (2016) - [c24]Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts. AAAI 2016: 194-200 - [c23]Shu Wu, Qiang Liu, Ping Bai, Liang Wang, Tieniu Tan:
SAPE: A System for Situation-Aware Public Security Evaluation. AAAI 2016: 4401-4402 - [c22]Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan:
Information Credibility Evaluation on Social Media. AAAI 2016: 4403-4404 - [c21]Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang:
Context-Aware Sequential Recommendation. ICDM 2016: 1053-1058 - [c20]Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
A Dynamic Recurrent Model for Next Basket Recommendation. SIGIR 2016: 729-732 - [i6]Kaiye Wang, Qiyue Yin, Wei Wang, Shu Wu, Liang Wang:
A Comprehensive Survey on Cross-modal Retrieval. CoRR abs/1607.06215 (2016) - [i5]Qiang Liu, Shu Wu, Liang Wang:
Multi-behavioral Sequential Prediction for Collaborative Filtering. CoRR abs/1608.07102 (2016) - [i4]Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang:
Context-aware Sequential Recommendation. CoRR abs/1609.05787 (2016) - [i3]Qiang Liu, Shu Wu, Feng Yu, Liang Wang, Tieniu Tan:
ICE: Information Credibility Evaluation on Social Media via Representation Learning. CoRR abs/1609.09226 (2016) - [i2]Qiang Cui, Shu Wu, Qiang Liu, Liang Wang:
A Visual and Textual Recurrent Neural Network for Sequential Prediction. CoRR abs/1611.06668 (2016) - 2015
- [j7]Hongbo Ni, Shu Wu, Bessam Abdulrazak, Daqing Zhang, Xiaojuan Ma, Xingshe Zhou:
Non-intrusive sleep pattern recognition with ubiquitous sensing in elderly assistive environment. Frontiers Comput. Sci. 9(6): 966-979 (2015) - [j6]Shu Wu, Yasunori Kobori, Nobukazu Tsukiji, Haruo Kobayashi:
Transient Response Improvement of DC-DC Buck Converter by a Slope Adjustable Triangular Wave Generator. IEICE Trans. Commun. 98-B(2): 288-295 (2015) - [j5]Qiyue Yin, Shu Wu, Ran He, Liang Wang:
Multi-view clustering via pairwise sparse subspace representation. Neurocomputing 156: 12-21 (2015) - [c19]Qiang Liu, Shu Wu, Liang Wang:
COT: Contextual Operating Tensor for Context-Aware Recommender Systems. AAAI 2015: 203-209 - [c18]Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan:
Multiple Attribute Aware Personalized Ranking. APWeb 2015: 244-255 - [c17]Qiyue Yin, Shu Wu, Liang Wang:
Learning to Hash for Recommendation with Tensor Data. APWeb 2015: 292-303 - [c16]Qiyue Yin, Shu Wu, Liang Wang:
Incomplete Multi-view Clustering via Subspace Learning. CIKM 2015: 383-392 - [c15]Qiang Liu, Shu Wu, Liang Wang:
Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation. CIKM 2015: 613-622 - [c14]Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan:
Social-Relational Topic Model for Social Networks. CIKM 2015: 1731-1734 - [c13]Qiang Liu, Feng Yu, Shu Wu, Liang Wang:
A Convolutional Click Prediction Model. CIKM 2015: 1743-1746 - [c12]Qiyue Yin, Shu Wu, Liang Wang:
Partially tagged image clustering. ICIP 2015: 4012-4016 - [c11]Song Xu, Shu Wu, Liang Wang:
Personalized Semantic Ranking for Collaborative Recommendation. SIGIR 2015: 971-974 - [c10]Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan:
Adaptive Pairwise Learning for Personalized Ranking with Content and Implicit Feedback. WI-IAT (1) 2015: 369-376 - 2014
- [j4]Jingyu Liu, Yongzhen Huang, Liang Wang, Shu Wu:
Hierarchical feature coding for image classification. Neurocomputing 144: 509-515 (2014) - [j3]Philippe Castagliola, Shu Wu, Michael B. C. Khoo, Subha Chakraborti:
Synthetic Phase II Shewhart-type Attributes Control Charts When Process Parameters are Estimated. Qual. Reliab. Eng. Int. 30(3): 315-335 (2014) - [c9]Baoxing Wang, Qiyue Yin, Shu Wu, Liang Wang, Guiquan Liu:
Discriminative Representative Selection via Structure Sparsity. ICPR 2014: 1401-1406 - 2013
- [j2]Shu Wu, Shengrui Wang:
Information-Theoretic Outlier Detection for Large-Scale Categorical Data. IEEE Trans. Knowl. Data Eng. 25(3): 589-602 (2013) - 2012
- [j1]Hongbo Ni, Bessam Abdulrazak, Daqing Zhang, Shu Wu, Zhiwen Yu, Xingshe Zhou, Shengrui Wang:
Towards non-intrusive sleep pattern recognition in elder assistive environment. J. Ambient Intell. Humaniz. Comput. 3(2): 167-175 (2012) - [c8]Yasunori Kobori, Qiulin Zhu, Murong Li, Feng Zhao, Zachary Nosker, Shu Wu, Shaiful N. Mohyar, Masanori Onozawa, Haruo Kobayashi, Nobukazu Takai, Kiichi Niitsu, Takahiro Odaguchi, Isao Nakanishi, Kenji Nemoto, Jun-Ichi Matsuda, Asahi Kasei:
Single inductor dual output DC-DC converter design with exclusive control. APCCAS 2012: 436-439 - [c7]Hongbo Ni, Bessam Abdulrazak, Daqing Zhang, Shu Wu, Xingshe Zhou, Kejian Miao, Daifei Han:
Multi-modal Non-intrusive Sleep Pattern Recognition in Elder Assistive Environment. ICOST 2012: 132-139 - 2011
- [c6]Shu Wu, Shengrui Wang:
Parameter-Free Anomaly Detection for Categorical Data. MLDM 2011: 112-126 - [c5]Shu Wu, Shengrui Wang:
Rating-based collaborative filtering combined with additional regularization. SIGIR 2011: 1195-1196 - [i1]Hongbo Ni, Bessam Abdulrazak, Daqing Zhang, Shu Wu:
CDTOM: A Context-driven Task-oriented Middleware for Pervasive Homecare Environment. CoRR abs/1102.1152 (2011) - 2010
- [c4]Hongbo Ni, Bessam Abdulrazak, Daqing Zhang, Shu Wu:
Unobtrusive Sleep Posture Detection for Elder-Care in Smart Home. ICOST 2010: 67-75 - [c3]Hongbo Ni, Bessam Abdulrazak, Daqing Zhang, Shu Wu, Zhiwen Yu, Xingshe Zhou, Shengrui Wang:
Towards Non-intrusive Sleep Pattern Recognition in Elder Assistive Environment. UIC 2010: 96-109
2000 – 2009
- 2009
- [c2]Xiao-Yuan Jing, Shou Gao, Yong-Fang Yao, Sheng Li, Shi-Qiang Gao, Shu Wu, Feng-Nan Yu, Yong-Chuan Zhang:
A Regularized Nonlinear Discrimination Approach. WGEC 2009: 541-544 - 2007
- [c1]Shu Wu, Qingshan Jiang, Joshua Zhexue Huang:
A New Initialization Method for Clustering Categorical Data. PAKDD 2007: 972-980
Coauthor Index
[j48] [j47] [j45] [j44] [j43] [j42] [j41] [j39] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c78] [c77] [c76] [c75] [i88] [i87] [i86] [i85] [i84] [i83] [i82] [i81] [i80] [i79] [i78] [i77] [i76] [i74] [i73] [i71] [i70] [i69] [i67] [i66] [j34] [j31] [j30] [j29] [j28] [c74] [c73] [c72] [c70] [c68] [c67] [c66] [c65] [i65] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [i55] [i54] [i53] [i52] [i51] [i50] [j22] [c52] [c49] [c48] [c47] [c46] [c43] [i48] [i45] [i43] [i41] [i34] [i33] [i32] [i31] [i30] [j21] [c40] [c37] [c36] [i28] [i27] [i26] [i25] [i21] [i20] [j19] [c33] [i10] [j15] [b1] [j11] [c27] [c26] [i7] [j8] [c24] [c23] [c22] [c21] [c20] [i5] [i4] [i3] [i2] [c19] [c15] [c13]
[j47] [j45] [j44] [j43] [j42] [j41] [j39] [c89] [c88] [c87] [c86] [c83] [c81] [c78] [c77] [c76] [c75] [i88] [i87] [i86] [i82] [i81] [i80] [i79] [i78] [i77] [i76] [i74] [i73] [i71] [i67] [i66] [j35] [j34] [j30] [j29] [j28] [c74] [c73] [c70] [c67] [c66] [c65] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [j25] [c64] [c63] [c62] [c59] [c55] [i55] [i53] [i51] [j23] [j22] [c54] [c51] [c50] [c48] [c47] [c45] [c44] [c43] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i37] [i36] [i35] [i31] [i30] [j21] [c41] [c40] [c38] [c37] [c36] [i29] [i28] [i27] [i26] [i25] [i23] [i21] [i20] [i19] [j19] [j18] [c35] [c34] [c32] [c31] [c30] [c29] [i17] [i16] [i14] [i13] [i12] [i11] [i10] [j15] [j14] [i8] [b1] [j13] [j11] [c28] [c27] [c26] [c25] [i7] [j10] [j9] [j8] [c24] [c23] [c22] [c21] [c20] [i6] [i5] [i4] [i3] [i2] [j5] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [j4] [c9]
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