Hao Wu
Orcid: 0000-0002-3696-9281Affiliations:
- Yunnan University, School of Information Science and Engineering, Kunming, China
- Huazhong University of Science and Technology, School of Computer Science and Technology, Cluster and Grid Computing Laboratory, Wuhan, China (PhD 2007)
According to our database1,
Hao Wu
authored at least 135 papers
between 2005 and 2024.
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Bibliography
2024
Diversifying Collaborative Filtering via Graph Spreading Network and Selective Sampling.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
IET Comput. Vis., October, 2024
Node Clustering on Attributed Graph Using Anchor Sampling Strategy and Debiasing Strategy.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024
MaskCAE: Masked Convolutional AutoEncoder via Sensor Data Reconstruction for Self-Supervised Human Activity Recognition.
IEEE J. Biomed. Health Informatics, May, 2024
A Collaborative Compression Scheme for Fast Activity Recognition on Mobile Devices via Global Compression Ratio Decision.
IEEE Trans. Mob. Comput., April, 2024
PatchHAR: A MLP-Like Architecture for Efficient Activity Recognition Using Wearables.
IEEE Trans. Biom. Behav. Identity Sci., April, 2024
Appl. Intell., April, 2024
Dynamic Inference via Localizing Semantic Intervals in Sensor Data for Budget-Tunable Activity Recognition.
IEEE Trans. Ind. Informatics, March, 2024
An automatic network structure search via channel pruning for accelerating human activity inference on mobile devices.
Expert Syst. Appl., March, 2024
An Ordered Submodularity-Based Budget-Feasible Mechanism for Opportunistic Mobile Crowdsensing Task Allocation and Pricing.
IEEE Trans. Mob. Comput., February, 2024
Dynamic QoS Prediction With Intelligent Route Estimation Via Inverse Reinforcement Learning.
IEEE Trans. Serv. Comput., 2024
Ordered Submodularity-Based Value Maximization of UAV Data Collection in Earthquake Areas.
IEEE Trans. Netw. Sci. Eng., 2024
A General Multistage Deep Learning Framework for Sensor-Based Human Activity Recognition Under Bounded Computational Budget.
IEEE Trans. Instrum. Meas., 2024
Learn From Others and Be Yourself in Federated Human Activity Recognition via Attention-Based Pairwise Collaborations.
IEEE Trans. Instrum. Meas., 2024
A two-stage budget-feasible mechanism for mobile crowdsensing based on maximum user revenue routing.
Future Gener. Comput. Syst., 2024
Dynamic instance-aware layer-bit-select network on human activity recognition using wearable sensors.
Eng. Appl. Artif. Intell., 2024
Plug-and-play multi-dimensional attention module for accurate Human Activity Recognition.
Comput. Networks, 2024
IEEE Access, 2024
Proceedings of the 2024 USENIX Annual Technical Conference, 2024
2023
Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Channel Attention for Sensor-Based Activity Recognition: Embedding Features into all Frequencies in DCT Domain.
IEEE Trans. Knowl. Data Eng., December, 2023
FreqSense: Adaptive Sampling Rates for Sensor-Based Human Activity Recognition Under Tunable Computational Budgets.
IEEE J. Biomed. Health Informatics, December, 2023
Adversarial Cluster-Level and Global-Level Graph Contrastive Learning for node representation.
Knowl. Based Syst., November, 2023
Novel Feature-Disentangled Autoencoder Integrating Residual Network for Industrial Soft Sensor.
IEEE Trans. Ind. Informatics, October, 2023
Toward Effective Personalized Service QoS Prediction From the Perspective of Multi-Task Learning.
IEEE Trans. Netw. Serv. Manag., September, 2023
Channel-Equalization-HAR: A Light-weight Convolutional Neural Network for Wearable Sensor Based Human Activity Recognition.
IEEE Trans. Mob. Comput., September, 2023
ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition.
IEEE J. Biomed. Health Informatics, August, 2023
Jointly learning invocations and descriptions for context-aware mashup tagging with graph attention network.
World Wide Web (WWW), July, 2023
Neural Process. Lett., June, 2023
Learning metric space with distillation for large-scale multi-label text classification.
Neural Comput. Appl., May, 2023
IEEE Trans. Ind. Informatics, March, 2023
IEEE Trans. Multim., 2023
An Efficient Diverse-Branch Convolution Scheme for Sensor-Based Human Activity Recognition.
IEEE Trans. Instrum. Meas., 2023
Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation.
ACM Trans. Embed. Comput. Syst., 2023
Modeling and predicting user preferences with multiple item attributes for sequential recommendations.
Knowl. Based Syst., 2023
A novel pedal musculoskeletal response based on differential spatio-temporal LSTM for human activity recognition.
Knowl. Based Syst., 2023
Learning hierarchical time series data augmentation invariances via contrastive supervision for human activity recognition.
Knowl. Based Syst., 2023
QoS-Aware and Cost-Efficient Dynamic Resource Allocation for Serverless ML Workflows.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
2022
Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning.
IEEE Trans. Serv. Comput., 2022
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows.
IEEE Trans. Intell. Transp. Syst., 2022
Dual-Branch Interactive Networks on Multichannel Time Series for Human Activity Recognition.
IEEE J. Biomed. Health Informatics, 2022
Deformable Convolutional Networks for Multimodal Human Activity Recognition Using Wearable Sensors.
IEEE Trans. Instrum. Meas., 2022
Deep Convolutional Networks With Tunable Speed-Accuracy Tradeoff for Human Activity Recognition Using Wearables.
IEEE Trans. Instrum. Meas., 2022
Understanding and Improving Channel Attention for Human Activity Recognition by Temporal-Aware and Modality-Aware Embedding.
IEEE Trans. Instrum. Meas., 2022
Online Learning of Parameters for Modeling User Preference Based on Bayesian Network.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Test-Driven Multi-Task Learning with Functionally Equivalent Code Transformation for Neural Code Generation.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022
Early Recognition of Facial Paralysis for Rehabilitation of Stroke Patients Using Visual Perception and AI-Assisted Analysis.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
A novel knowledge graph embedding based API recommendation method for Mashup development.
World Wide Web, 2021
IEEE Trans. Serv. Comput., 2021
A novel scalable network architecture for the evolution of robot swarm networks with dual connectivity application in control-data plane.
Swarm Evol. Comput., 2021
Optimal edge server deployment and allocation strategy in 5G ultra-dense networking environments.
Pervasive Mob. Comput., 2021
Placement of edge server based on task overhead in mobile edge computing environment.
Trans. Emerg. Telecommun. Technol., 2021
CoRR, 2021
Community based parking: Finding and predicting available parking spaces based on the Internet of Things and crowdsensing.
Comput. Ind. Eng., 2021
DanHAR: Dual Attention Network for multimodal human activity recognition using wearable sensors.
Appl. Soft Comput., 2021
Relational Graph Neural Network with Neighbor Interactions for Bundle Recommendation Service.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021
Proceedings of the 2021 IEEE International Conference on Web Services, 2021
Proceedings of the Service-Oriented Computing - 19th International Conference, 2021
2020
Effective metric learning with co-occurrence embedding for collaborative recommendations.
Neural Networks, 2020
A parallel and constraint induced approach to modeling user preference from rating data.
Knowl. Based Syst., 2020
DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors.
CoRR, 2020
Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices.
CoRR, 2020
Detecting and Explaining Self-Admitted Technical Debts with Attention-based Neural Networks.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020
Proceedings of the 2020 IEEE International Conference on Web Services, 2020
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020
East China Normal University Scientific Reports 11, WorldScientific, ISBN: 9789811207396, 2020
2019
基于随机森林的虚拟机性能预测与配置优化 (Performance Prediction and Configuration Optimization of Virtual Machines Based on Random Forest).
计算机科学, 2019
Future Gener. Comput. Syst., 2019
IEEE Access, 2019
Long Document Classification From Local Word Glimpses via Recurrent Attention Learning.
IEEE Access, 2019
ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
Proceedings of the Big Data - 7th CCF Conference, 2019
2018
Dual-regularized matrix factorization with deep neural networks for recommender systems.
Knowl. Based Syst., 2018
Measuring performance degradation of virtual machines based on the Bayesian network with hidden variables.
Int. J. Commun. Syst., 2018
Future Gener. Comput. Syst., 2018
Markov-network based latent link analysis for community detection in social behavioral interactions.
Appl. Intell., 2018
NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018
NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
2017
A data-intensive approach for discovering user similarities in social behavioral interactions based on the bayesian network.
Neurocomputing, 2017
Deviation-based neighborhood model for context-aware QoS prediction of cloud and IoT services.
Future Gener. Comput. Syst., 2017
Performance Measurement and Configuration Optimization of Virtual Machines Based on the Bayesian Network.
Proceedings of the Cloud Computing and Security - Third International Conference, 2017
Proceedings of the 2017 IEEE International Congress on Big Data, 2017
East China Normal University Scientific Reports 6, WorldScientific, ISBN: 9789813227156, 2017
2016
Collaborative Topic Regression with social trust ensemble for recommendation in social media systems.
Knowl. Based Syst., 2016
Modeling User Preference from Rating Data Based on the Bayesian Network with a Latent Variable.
Proceedings of the Web-Age Information Management, 2016
Non-negative multiple matrix factorization with social similarity for recommender systems.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016
2015
Heuristics to allocate high-performance cloudlets for computation offloading in mobile ad hoc clouds.
J. Supercomput., 2015
Knowl. Based Syst., 2015
Int. J. Distributed Sens. Networks, 2015
Representing and processing lineages over uncertain data based on the Bayesian network.
Appl. Soft Comput., 2015
Proceedings of the Collaborative Computing: Networking, Applications, and Worksharing, 2015
2014
J. Supercomput., 2014
Scientometrics, 2014
On improving aggregate recommendation diversity and novelty in folksonomy-based social systems.
Pers. Ubiquitous Comput., 2014
Proceedings of the International Conference on Identification, 2014
Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014
Proceedings of the Database Systems for Advanced Applications, 2014
Mobility Prediction Based Opportunistic Computational Offloading for Mobile Device Cloud.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014
Structure Learning of Bayesian Network with Latent Variables by Weight-Induced Refinement.
Proceedings of the 5th International Workshop on Web-scale Knowledge Representation Retrieval & Reasoning, 2014
2013
Algorithms, 2013
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013
2012
CoRR, 2012
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2012
2010
J. Assoc. Inf. Sci. Technol., 2010
Proceedings of the 2010 International Conference on Parallel and Distributed Computing, 2010
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010
2009
Frontiers Comput. Sci. China, 2009
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009
Proceedings of the 8th IEEE/ACIS International Conference on Computer and Information Science, 2009
2008
Knowl. Based Syst., 2008
Inf. Process. Manag., 2008
Proceedings of the International Multisymposiums on Computer and Computational Sciences, 2008
A Suggested Framework for Exploring Contextual Information to Evaluate and Recommend Services.
Proceedings of the Advances in Grid and Pervasive Computing, 2008
2007
Aeneas: real-time performance evaluation approach for distributed programs with reliability-constrains.
Clust. Comput., 2007
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007
2006
SemreX: Towards Large-Scale Literature Information Retrieval and Browsing with Semantic Association.
Proceedings of the 2006 IEEE International Conference on e-Business Engineering (ICEBE 2006), 2006
Proceedings of the Advances in Grid and Pervasive Computing, 2006
2005
Proceedings of the 2005 International Conference on Semantics, 2005
Aeneas: Real-Time Performance Evaluation Approach for Distributed Programs with Reliability-Constrains.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005
Proceedings of the Advances in Computer Science, 2005
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005