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Shu Wu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j46]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) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [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) - [c86]Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang:
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. AAAI 2024: 100-108 - [c85]Haisong Gong, Qiang Liu, Shu Wu, Liang Wang:
Text-Guided Molecule Generation with Diffusion Language Model. AAAI 2024: 109-117 - [c84]Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang:
Rethinking Graph Masked Autoencoders through Alignment and Uniformity. AAAI 2024: 15528-15536 - [c83]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 - [c82]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 - [c81]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 - [c80]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: 16144-16159 - [c79]Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization. ICASSP 2024: 4740-4744 - [c78]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 - [c77]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 - [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 - [i80]Qiang Liu, Xiang Tao, Junfei Wu, Shu Wu, Liang Wang:
Can Large Language Models Detect Rumors on Social Media? CoRR abs/2402.03916 (2024) - [i79]Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang:
Rethinking Graph Masked Autoencoders through Alignment and Uniformity. CoRR abs/2402.07225 (2024) - [i78]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) - [i77]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) - [i76]Haisong Gong, Qiang Liu, Shu Wu, Liang Wang:
Text-Guided Molecule Generation with Diffusion Language Model. CoRR abs/2402.13040 (2024) - [i75]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Knowledge Graph Enhanced Large Language Model Editing. CoRR abs/2402.13593 (2024) - [i74]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) - [i73]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) - [i72]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) - [i71]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) - [i70]Xiang Tao, Mingqing Zhang, Qiang Liu, Shu Wu, Liang Wang:
Out-of-distribution Rumor Detection via Test-Time Adaptation. CoRR abs/2403.17735 (2024) - [i69]Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang:
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. CoRR abs/2404.16076 (2024) - [i68]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) - [i67]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) - [i66]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) - 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, Xiao-Yu 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, Xiao-Yu 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
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