Hao Wu

Orcid: 0000-0002-3696-9281

Affiliations:
  • 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 116 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A Collaborative Compression Scheme for Fast Activity Recognition on Mobile Devices via Global Compression Ratio Decision.
IEEE Trans. Mob. Comput., 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

Learn From Others and Be Yourself in Federated Human Activity Recognition via Attention-Based Pairwise Collaborations.
IEEE Trans. Instrum. Meas., 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

Learning metric space with distillation for large-scale multi-label text classification.
Neural Comput. Appl., May, 2023

Keyword-Driven Service Recommendation Via Deep Reinforced Steiner Tree Search.
IEEE Trans. Ind. Informatics, March, 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

Topology-Aware Neural Model for Highly Accurate QoS Prediction.
IEEE Trans. Parallel Distributed Syst., 2022

Effective Collaborative Representation Learning for Multilabel Text Categorization.
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

Self-gated FM: Revisiting the Weight of Feature Interactions for CTR Prediction.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

Compilable Neural Code Generation with Compiler Feedback.
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

Multiple Attributes QoS Prediction via Deep Neural Model with Contexts.
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

CLSEBERT: Contrastive Learning for Syntax Enhanced Code Pre-Trained Model.
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

Time-aware User Modeling with Check-in Time Prediction for Next POI Recommendation.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

ServiceBERT: A Pre-trained Model for Web Service Tagging and Recommendation.
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

Deep model with neighborhood-awareness for text tagging.
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

A Novel Dual-Graph Convolutional Network based Web Service Classification Framework.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020

A Spatial and Sequential Combined Method for Web Service Classification.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Probabilistic Approaches for Social Media Analysis - Data, Community and Influence
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

Spatio-temporal context-aware collaborative QoS prediction.
Future Gener. Comput. Syst., 2019

Mashup-Oriented API Recommendation via Random Walk on Knowledge Graph.
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

Social Regularized Collaborative Metric Learning.
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

Web API Recommendation with Features Ensemble and Learning-to-Rank.
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

Collaborative QoS prediction with context-sensitive matrix factorization.
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

Adaptive and Parallel Data Acquisition from Online Big Graphs.
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

Content Embedding Regularized Matrix Factorization for Recommender Systems.
Proceedings of the 2017 IEEE International Congress on Big Data, 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

Item recommendation in collaborative tagging systems via heuristic data fusion.
Knowl. Based Syst., 2015

Context-Aware Recommendation via Graph-Based Contextual Modeling and Postfiltering.
Int. J. Distributed Sens. Networks, 2015

Representing and processing lineages over uncertain data based on the Bayesian network.
Appl. Soft Comput., 2015

Personalized QoS Prediction of Cloud Services via Learning Neighborhood-Based Model.
Proceedings of the Collaborative Computing: Networking, Applications, and Worksharing, 2015

2014
Resource availability-aware advance reservation for parallel jobs with deadlines.
J. Supercomput., 2014

Unsupervised author disambiguation using Dempster-Shafer theory.
Scientometrics, 2014

On improving aggregate recommendation diversity and novelty in folksonomy-based social systems.
Pers. Ubiquitous Comput., 2014

Enhancing Context-Aware Recommendation via a Unified Graph Model.
Proceedings of the International Conference on Identification, 2014

RWR-Based Resources Recommendation on Weighted and Clustered Folksonomy Graph.
Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014

Computation Offloading Management for Vehicular Ad Hoc Cloud.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014

Personalized Recommendation via Relevance Propagation on Social Tagging Graph.
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
Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement.
Algorithms, 2013

Towards recommendation to trust-based user groups in social tagging systems.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

Personalized recommendation via rank aggregation in social tagging systems.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012
Resource Availability-Aware Advance Reservation for Parallel Jobs with Deadlines
CoRR, 2012

Scholar search-oriented author disambiguation.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

Enhancing citation recommendation with various evidences.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

Fragment Aware Scheduling for Advance Reservations in Multiprocessor Systems.
Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2012

2010
Scientific impact at the topic level: A case study in computational linguistics.
J. Assoc. Inf. Sci. Technol., 2010

Scheduling of a Relaxed Backfill Strategy with Multiple Reservations.
Proceedings of the 2010 International Conference on Parallel and Distributed Computing, 2010

Finding Research Community in Collaboration Network with Expertise Profiling.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

2009
Detecting academic experts by topic-sensitive link analysis.
Frontiers Comput. Sci. China, 2009

Scientific Quality Towards Specific Topics.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

Hidden Topic Analysis Based Formal Framework for Finding Experts in Metadata Corpus.
Proceedings of the 8th IEEE/ACIS International Conference on Computer and Information Science, 2009

2008
Combining weights with fuzziness for intelligent semantic web search.
Knowl. Based Syst., 2008

RSS: A framework enabling ranked search on the semantic web.
Inf. Process. Manag., 2008

Topic-Sensitive Link-Ranking Approach for Academic Expert Recruiting.
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

An approach for indexing, storing and retrieving domain knowledge.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

2006
Facilitating Service Discovery with Semantic Overlay.
J. Comput. Sci. Technol., 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

Semantic Metadata Models in References Sharing and Retrieval System SemreX.
Proceedings of the Advances in Grid and Pervasive Computing, 2006

2005
Semantic-Overlay-Driven Web Services Discovery.
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

An Approach for Service Discovery Based on Semantic Peer-to-Peer.
Proceedings of the Advances in Computer Science, 2005

Q-GSM: QoS Oriented Grid Service Management.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005


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