Deqing Wang

Orcid: 0000-0001-6441-4390

According to our database1, Deqing Wang authored at least 95 papers between 2007 and 2024.

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Bibliography

2024
Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction.
IEEE Trans. Knowl. Data Eng., May, 2024

Improving Domain Adaptation through Extended-Text Reading Comprehension.
CoRR, 2024

2023
Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

Design of Carrier Index Keying-Aided M-Ary Differential Chaos Cyclic Shift Keying for D2D Communications.
IEEE Trans. Commun., 2023

Combating Multi-path Interference to Improve Chirp-based Underwater Acoustic Communication.
CoRR, 2023

Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification.
CoRR, 2023

Scaling Sentence Embeddings with Large Language Models.
CoRR, 2023

A Survey on Causal Inference for Recommendation.
CoRR, 2023

CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling.
Proceedings of the IEEE International Conference on Data Mining, 2023

PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Pruning Pre-trained Language Models Without Fine-Tuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2022

Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer.
IEEE Trans. Cybern., 2022

PSLDA: a novel supervised pseudo document-based topic model for short texts.
Frontiers Comput. Sci., 2022

RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs.
CoRR, 2022

Pruning Pre-trained Language Models Without Fine-Tuning.
CoRR, 2022

Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation.
CoRR, 2022

PromptBERT: Improving BERT Sentence Embeddings with Prompts.
CoRR, 2022

Improving biomedical named entity recognition by dynamic caching inter-sentence information.
Bioinform., 2022

Subcarrier Index Modulation Aided Non-Coherent Chaotic Communication System for Underwater Acoustic Communications.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

SSL-DC: Improving Transductive Few-Shot Learning via Self-Supervised Learning and Distribution Calibration.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework.
Proceedings of the IEEE International Conference on Acoustics, 2022

Exploiting Global and Local Hierarchies for Hierarchical Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PromptBERT: Improving BERT Sentence Embeddings with Prompts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Contrastive Learning with Bidirectional Transformers for Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Adaptive Coding and Bit-Power Loading Algorithms for Underwater Acoustic Transmissions.
IEEE Trans. Wirel. Commun., 2021

Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification.
IEEE Trans. Neural Networks Learn. Syst., 2021

Sparse nonnegative tensor decomposition using proximal algorithm and inexact block coordinate descent scheme.
Neural Comput. Appl., 2021

A neural topic model with word vectors and entity vectors for short texts.
Inf. Process. Manag., 2021

Long- and short-term self-attention network for sequential recommendation.
Neurocomputing, 2021

Improving Non-autoregressive Generation with Mixup Training.
CoRR, 2021

A Multiple Sequences Spread-Spectrum System with In-phase/Quadrature Index Modulation for Underwater Acoustic Communications.
Proceedings of the 15th International Symposium on Medical Information and Communication Technology, 2021

A Multiple Sequences Spread-Spectrum System with Cyclic Index Modulation for Underwater Acoustic Communication.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

Considering Interaction Sequence of Historical Items for Conversational Recommender System.
Proceedings of the Database Systems for Advanced Applications, 2021

Learning Disentangled User Representation Based on Controllable VAE for Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2021

LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Distributed Complementary Binary Quantization for Joint Hash Table Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Softly Associative Transfer Learning for Cross-Domain Classification.
IEEE Trans. Cybern., 2020

Spatio-temporal deformable 3D ConvNets with attention for action recognition.
Pattern Recognit., 2020

Candidate region correlation for video action detection.
J. Vis. Commun. Image Represent., 2020

Collaborative Self-Attention Network for Session-based Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Cross-Domain Recommendation with Adversarial Examples.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
An M-Ary Orthogonal Multilevel Differential Chaos Shift Keying System With Code Index Modulation.
IEEE Trans. Commun., 2019

Multi-carrier chaotic communication scheme for underwater acoustic communications.
IET Commun., 2019

Channel-Adaptive Location-Assisted Wake-up Signal Detection Approach Based on LFM Over Underwater Acoustic Channels.
IEEE Access, 2019

Feature-level Deeper Self-Attention Network for Sequential Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

End-to-End Learning of Graph Similarity.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Higher-order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2019

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Complementary Aspect-Based Opinion Mining.
IEEE Trans. Knowl. Data Eng., 2018

Underwater video transceiver designs based on channel state information and video content.
Frontiers Inf. Technol. Electron. Eng., 2018

Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study.
CoRR, 2018

Doppler effect mitigation over mobile underwater acoustic OFDM system.
Proceedings of the Thirteenth ACM International Conference on Underwater Networks & Systems, 2018

A LFM-based adaptive wake-up signal detection approach for underwater acoustic communication system.
Proceedings of the Thirteenth ACM International Conference on Underwater Networks & Systems, 2018

Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Cross-Domain Labeled LDA for Cross-Domain Text Classification.
Proceedings of the IEEE International Conference on Data Mining, 2018

Adaptive Video Transmission Designs Over Underwater Acoustic Channels.
Proceedings of the 2018 International Conference on Computing, 2018

MultiE: Multi-Task Embedding for Knowledge Base Completion.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Mining and Visualizing System for Large-Scale Chinese Technical Standards.
Proceedings of the Fourth IEEE International Conference on Big Data Computing Service and Applications, 2018

2017
Parallel combinatory multicarrier modulation in underwater acoustic communications.
IET Commun., 2017

Design of a multi-carrier different chaos shift keying communication system in doubly selective fading channels.
Proceedings of the 23rd Asia-Pacific Conference on Communications, 2017

2016
Unsupervised feature selection through Gram-Schmidt orthogonalization - A word co-occurrence perspective.
Neurocomputing, 2016

Bit selection via walks on graph for hash-based nearest neighbor search.
Neurocomputing, 2016

Energy-Efficient Distributed Compressed Sensing Data Aggregation for Cluster-Based Underwater Acoustic Sensor Networks.
Int. J. Distributed Sens. Networks, 2016

A dynamic spectrum decision algorithm for underwater cognitive acoustic networks.
Proceedings of the 11th ACM International Conference on Underwater Networks & Systems, 2016

Inverse Multicast Quality of Service Routing Problem with Bandwidth and Delay Under the Weighted l_1 Norm.
Proceedings of the Testbeds and Research Infrastructures for the Development of Networks and Communities, 2016

Exploiting ongoing EEG with multilinear partial least squares during free-listening to music.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Transfer Learning by Linking Similar Feature Clusters for Sentiment Classification.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2015
Energy-efficient Data Aggregation Scheme for Underwater Acoustic Sensor Networks.
Proceedings of the 10th International Conference on Underwater Networks & Systems, 2015

Wood Surface Quality Detection and Classification Using Gray Level and Texture Features.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

Complementary Aspect-Based Opinion Mining Across Asymmetric Collections.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

GS-Orthogonalization Based "Basis Feature" Selection from Word Co-occurrence Matrix.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Modeling Both Coarse-Grained and Fine-Grained Topics in Massive Text Data.
Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015

Semi-supervised Learning on Cross-Lingual Sentiment Analysis with Space Transfer.
Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015

2014
t-Test feature selection approach based on term frequency for text categorization.
Pattern Recognit. Lett., 2014

A semantics-based method for clustering of Chinese web search results.
Enterp. Inf. Syst., 2014

2013
Inverse-Category-Frequency based Supervised Term Weighting Schemes for Text Categorization.
J. Inf. Sci. Eng., 2013

Towards enhancing centroid classifier for text classification - A border-instance approach.
Neurocomputing, 2013

An Improved Regularized Latent Semantic Indexing with L1/2 Regularization and Non-negative Constraints.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

2012
Predicting Bugs' Components via Mining Bug Reports.
J. Softw., 2012

Term frequency - function of document frequency: a new term weighting scheme for enterprise information retrieval.
Enterp. Inf. Syst., 2012

Feature selection based on term frequency and T-test for text categorization.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010
Inverse Category Frequency based supervised term weighting scheme for text categorization
CoRR, 2010

Detect Related Bugs from Source Code Using Bug Information.
Proceedings of the 34th Annual IEEE International Computer Software and Applications Conference, 2010

2009
Theme Extraction from Chinese Web Documents Based on Page Segmentation and Entropy.
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

2008
Web Object Mining Based on Entropy Pruning.
Proceedings of the Fourth International Conference on Semantics, Knowledge and Grid, 2008

Study on MC-CDMA for Underwater Acoustic Networks.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

A No-Word-Segmentation Hierarchical Clustering Approach to Chinese Web Search Results.
Proceedings of the Information Retrieval Technology, 2008

2007
A Clustering Algorithm of No-Word-Segmentation for Chinese Search Engine.
Proceedings of the Third International Conference on Semantics, 2007


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