Yawen Li

Orcid: 0000-0003-2662-3444

Affiliations:
  • Beijing University of Posts and Telecommunications, School of Economics and Management, China (PhD 2018)


According to our database1, Yawen Li authored at least 93 papers between 2009 and 2025.

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Bibliography

2025
FeBT: A Feature Balancing Transformer for Corporate ESG Forecasting.
IEEE Trans. Knowl. Data Eng., July, 2025

Elevating Knowledge-Enhanced Entity and Relationship Understanding for Sarcasm Detection.
IEEE Trans. Knowl. Data Eng., June, 2025

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent.
CoRR, June, 2025

GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations.
CoRR, June, 2025

Graph Positional Autoencoders as Self-supervised Learners.
CoRR, May, 2025

DiffusionCom: Structure-Aware Multimodal Diffusion Model for Multimodal Knowledge Graph Completion.
CoRR, April, 2025

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.
ACM Trans. Intell. Syst. Technol., February, 2025

Graph Foundation Models for Recommendation: A Comprehensive Survey.
CoRR, February, 2025

Robust Multi-Graph Contrastive Network for Incomplete Multi-View Clustering.
IEEE Trans. Multim., 2025

RFCSC: Communication efficient reinforcement federated learning with dynamic client selection and adaptive gradient compression.
Neurocomputing, 2025

Leveraging multi-time-span sequences and feature correlations for improved stock trend prediction.
Neurocomputing, 2025

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation.
Proceedings of the ACM on Web Conference 2025, 2025

Empowering Federated Graph Rationale Learning with Latent Environments.
Proceedings of the ACM on Web Conference 2025, 2025

Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges.
Proceedings of the ACM on Web Conference 2025, 2025

Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Fine-Grained Annotation and Multi-objective Optimization Based RLHF.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Sustainability-Oriented Task Recommendation in Spatial Crowdsourcing.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

DATA-WA: Demand-Based Adaptive Task Assignment with Dynamic Worker Availability Windows.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

A Memetic Algorithm for the Capacity-Constrained Community Detection Problem in Social Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025

MSformer: Joint Prediction of Multi-Dimensional Resources in Computing Power Network based on Multi-Granularity Sampling.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2025

Big Data Time Series Prediction Based on Feature-Enhanced Transformer Model.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2025

Time Sensitive Multiple POIs Route Planning on Bus Networks.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2025

Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

IWRN: A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise Attack.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
TeKo: Text-Rich Graph Neural Networks With External Knowledge.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

SkatingVerse: A large-scale benchmark for comprehensive evaluation on human action understanding.
IET Comput. Vis., October, 2024

Text-Rich Graph Neural Networks With Subjective-Objective Semantic Modeling.
IEEE Trans. Knowl. Data Eng., September, 2024

Distributed Graph Neural Network Training: A Survey.
ACM Comput. Surv., August, 2024

Federated learning for supervised cross-modal retrieval.
World Wide Web (WWW), July, 2024

Structures Aware Fine-Grained Contrastive Adversarial Hashing for Cross-Media Retrieval.
IEEE Trans. Knowl. Data Eng., July, 2024

RFDG: Reinforcement Federated Domain Generalization.
IEEE Trans. Knowl. Data Eng., March, 2024

Open-Domain Semi-Supervised Learning via Glocal Cluster Structure Exploitation.
IEEE Trans. Knowl. Data Eng., 2024

Recent advances on federated learning: A systematic survey.
Neurocomputing, 2024

LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space.
CoRR, 2024

WPFed: Web-based Personalized Federation for Decentralized Systems.
CoRR, 2024

Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Representation Learning.
CoRR, 2024

Calibrating Graph Neural Networks from a Data-centric Perspective.
Proceedings of the ACM on Web Conference 2024, 2024

RFFNet: Towards Robust and Flexible Fusion for Low-Light Image Denoising.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Knowledge Graph Enhanced Multimodal Transformer for Image-Text Retrieval.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Traceable Federated Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

View-Category Interactive Sharing Transformer for Incomplete Multi-View Multi-Label Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Processing Conflict-Aware <i>k</i> Nearest Neighbor Queries in Euclidean Space.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024

Learning Hierarchy-Aware Federated Graph Embedding for Link Prediction.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024

Hybrid Evolutionary Algorithm for the Overlap Constrained Resource Allocation Problem in Wireless Networks.
Proceedings of the Advanced Information Networking and Applications, 2024

Omnidirectional Image Super-resolution via Bi-projection Fusion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.
IEEE J. Biomed. Health Informatics, November, 2023

Multi-View Scholar Clustering With Dynamic Interest Tracking.
IEEE Trans. Knowl. Data Eng., September, 2023

Scalable Identity-Oriented Speech Retrieval.
IEEE Trans. Knowl. Data Eng., March, 2023

Heterogeneous Latent Topic Discovery for Semantic Text Mining.
IEEE Trans. Knowl. Data Eng., 2023

ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems.
Proc. VLDB Endow., 2023

A survey for solving mixed integer programming via machine learning.
Neurocomputing, 2023

Research Team Identification Based on Representation Learning of Academic Heterogeneous Information Network.
CoRR, 2023

Federated Topic Model and Model Pruning Based on Variational Autoencoder.
CoRR, 2023

Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion.
CoRR, 2023

Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network.
CoRR, 2023

Interactive Graph Convolutional Filtering.
CoRR, 2023

A Survey on Spectral Graph Neural Networks.
CoRR, 2023

Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Generalized Deep Markov Random Fields Framework for Fake News Detection.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Trafformer: Unify Time and Space in Traffic Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Distributed Multimodal Path Queries.
IEEE Trans. Knowl. Data Eng., 2022

Laser Based Navigation in Asymmetry and Complex Environment.
Symmetry, 2022

Predicting vehicle fuel consumption based on multi-view deep neural network.
Neurocomputing, 2022

Spatial-Temporal Adaptive Graph Convolution with Attention Network for Traffic Forecasting.
CoRR, 2022

A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT.
CoRR, 2022

Semantic Similarity Computing for Scientific Academic Conferences fused with domain features.
CoRR, 2022

Academic Resource Text Level Multi-label Classification based on Attention.
CoRR, 2022

Prediction Algorithm for Heat Demand of Science and Technology Topics Based on Time Convolution Network.
CoRR, 2022

LECF: recommendation via learnable edge collaborative filtering.
Sci. China Inf. Sci., 2022

Scalable Graph Sampling on GPUs with Compressed Graph.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Embedding Representation of Academic Heterogeneous Information Networks Based on Federated Learning.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

Kernel Least Mean Square With Maximum Correntropy Criterion.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

Unsupervised Semantic Representation Learning of Scientific Literature Based on Graph Attention Mechanism and Maximum Mutual Information.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs.
VLDB J., 2021

HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Federated Graph Neural Network for Cross-graph Node Classification.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

2020
Reliable and Efficient Multimedia Service Optimization for Edge Computing-Based 5G Networks: Game Theoretic Approaches.
IEEE Trans. Netw. Serv. Manag., 2020

Exploring firms' innovation capabilities through learning systems.
Neurocomputing, 2020

GoldenRetriever: A Speech Recognition System Powered by Modern Information Retrieval.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Application of interpretable machine learning models for the intelligent decision.
Neurocomputing, 2019

Multilayer Perceptron Method to Estimate Real-World Fuel Consumption Rate of Light Duty Vehicles.
IEEE Access, 2019

2018
On neural networks and learning systems for business computing.
Neurocomputing, 2018

2013
Spatio-temporal super-resolution reconstruction based on robust optical flow and Zernike moment for dynamic image sequences.
Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

Transcale LQ tracking control for a class of discrete systems based on wavelet packet decomposition.
Proceedings of the American Control Conference, 2013

2011
Tourist flows analysis and decision support system based on intelligent mobile phone.
Proceedings of the 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011

2009
Holistically Twig Matching in Probabilistic XML.
Proceedings of the 25th International Conference on Data Engineering, 2009


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