2025
Multi-constraint reinforcement learning in complex robot environments.
Frontiers Comput. Sci., August, 2025
CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness.
CoRR, January, 2025
2024
Towards Better Accuracy-Efficiency Trade-Offs: Dynamic Activity Inference via Collaborative Learning From Various Width-Resolution Configurations.
IEEE Trans. Artif. Intell., December, 2024
Accelerating Activity Inference on Edge Devices Through Spatial Redundancy in Coarse-Grained Dynamic Networks.
IEEE Internet Things J., December, 2024
Diversifying Collaborative Filtering via Graph Spreading Network and Selective Sampling.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
PSANet: Automatic colourisation using position-spatial attention for natural images.
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
TAE: Topic-aware encoder for large-scale multi-label text classification.
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
Effective Graph Modeling and Contrastive Learning for Time-Aware QoS Prediction.
IEEE Trans. Serv. Comput., 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
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning.
CoRR, 2024
Plug-and-play multi-dimensional attention module for accurate Human Activity Recognition.
Comput. Networks, 2024
A sparse diverse-branch large kernel convolutional neural network for human activity recognition using wearables.
Appl. Soft Comput., 2024
Cooperative Mashup Embedding Leveraging Knowledge Graph for Web API Recommendation.
IEEE Access, 2024
StreamBox: A Lightweight GPU SandBox for Serverless Inference Workflow.
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
Image-Text Sentiment Analysis Via Context Guided Adaptive Fine-Tuning Transformer.
Neural Process. Lett., June, 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
Optimal Transport-Based Patch Matching for Image Style Transfer.
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
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
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
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.
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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
Real-Time Image and Video Artistic Style Rendering System Based on GPU.
Proceedings of the Data Science, 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
ALBERT for Hate Speech and Offensive Content Identification.
Proceedings of the Working Notes of FIRE 2021, 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
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 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
Automatic Detection of Solar Radio Spectrum Based on Codebook Model.
Proceedings of the Data Science, 2020
A Novel Dual-Graph Convolutional Network based Web Service Classification Framework.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020
YUN_DE at HASOC2020 subtask A: Multi-Model Ensemble Learning for Identifying Hate Speech and Offensive Language.
Proceedings of the Working Notes of FIRE 2020, 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
A Noise Reduction Method for Solar Radio Spectrum Based on Improved Guided Filter and Morphological Cascade.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 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
Discovery and Fusion of Uncertain Knowledge in Data
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
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
R3: A Real-Time Route Recommendation System.
Proc. VLDB Endow., 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
2011
DBease: Making Databases User-Friendly and Easily Accessible.
Proceedings of the Fifth Biennial Conference on Innovative Data Systems Research, 2011
2010
Seaform: Search-As-You-Type in Forms.
Proc. VLDB Endow., 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
Suggesting Topic-Based Query Terms as You Type.
Proceedings of the Advances in Web Technologies 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