Deqing Wang

Orcid: 0000-0001-6441-4390

Affiliations:
  • Beihang University, Beijing, China


According to our database1, Deqing Wang authored at least 88 papers between 2007 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation.
CoRR, May, 2026

Route Before Retrieve: Activating Latent Routing Abilities of LLMs for RAG vs. Long-Context Selection.
CoRR, May, 2026

LASAR: Latent Adaptive Semantic Aligned Reasoning for Generative Recommendation.
CoRR, May, 2026

Policy Improvement Reinforcement Learning.
CoRR, April, 2026

Heterogeneous Agent Collaborative Reinforcement Learning.
CoRR, March, 2026

UniFAR: A Unified Facet-Aware Retrieval Framework for Scientific Documents.
CoRR, February, 2026

Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation.
CoRR, February, 2026

UniARM: Towards a Unified Autoregressive Reward Model for Multi-Objective Test-Time Alignment.
CoRR, February, 2026

Does Your Reasoning Model Implicitly Know When to Stop Thinking?
CoRR, February, 2026

Weak-Driven Learning: How Weak Agents make Strong Agents Stronger.
CoRR, February, 2026

Real-Time Aligned Reward Model beyond Semantics.
CoRR, January, 2026

Your Group-Relative Advantage Is Biased.
CoRR, January, 2026

TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer.
CoRR, January, 2026

ELStar: An elastic long- and short-term multi-interest user modeling network for agricultural news recommendation.
Knowl. Based Syst., 2026

2025
LLMBoost: Make Large Language Models Stronger with Boosting.
CoRR, December, 2025

Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction.
ACM Trans. Inf. Syst., September, 2025

FairDgcl: Fairness-Aware Recommendation With Dynamic Graph Contrastive Learning.
IEEE Trans. Knowl. Data Eng., September, 2025

Mitigating Spurious Correlations Between Question and Answer via Chain-of-Thought Correctness Perception Distillation.
CoRR, September, 2025

ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling.
CoRR, August, 2025

HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation.
ACM Trans. Inf. Syst., July, 2025

Adaptive Sample Scheduling for Direct Preference Optimization.
CoRR, June, 2025

Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment.
CoRR, March, 2025

MindScore: quantifying human preference for text-to-image generation through multi-view lens.
Sci. China Inf. Sci., 2025

CDC: Causal Domain Clustering for Multi-Domain Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Improving Multi-attribute Fairness in LLM-Based Recommenders Through a Mixture-of-Experts Contrastive Learning Method.
Proceedings of the Database Systems for Advanced Applications, 2025

ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., December, 2024

Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification.
ACM Trans. Inf. Syst., November, 2024

Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement.
IEEE Trans. Knowl. Data Eng., November, 2024

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

Mining technology trends in scientific publications: a graph propagated neural topic modeling approach.
Knowl. Inf. Syst., May, 2024

Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Contrasting Transformer and Hypergraph Network for Cooperative Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2024

SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions.
Proceedings of the Database Systems for Advanced Applications, 2024

Multi-view Temporal Knowledge Graph Reasoning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A General Strategy Graph Collaborative Filtering for Recommendation Unlearning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification.
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

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

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

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

Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework.
Proceedings of the IEEE International Conference on Acoustics, 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
Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification.
IEEE Trans. Neural Networks Learn. Syst., 2021

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

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

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

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

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

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

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

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

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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