Weiling Li

Orcid: 0000-0003-2453-7200

According to our database1, Weiling Li authored at least 62 papers between 2010 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LoViF 2026 The First Challenge on Weather Removal in Videos.
CoRR, April, 2026

LVLMs and Humans Ground Differently in Referential Communication.
CoRR, January, 2026

Explainability and privacy in AI-enabled crop monitoring: Trends and future directions in soybean research.
Comput. Electron. Agric., 2026

2025
A Generalized Nesterov-Accelerated Second-Order Latent Factor Model for High-Dimensional and Incomplete Data.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

An Easily Deployable Image Dehazing Model for Industrial Sites.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Accurate Monitoring of the Slagging during Converter Tapping.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Second-order Latent Factorization of Tensors based on Tucker Decomposition for spatio-temporal traffic flow data completion.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

A Second-Order Tensor Network Model for Understanding Time-varying QoS Data.
Proceedings of the International Joint Conference on Neural Networks, 2025

A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery (Extended Abstract).
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

LVLMs are Bad at Overhearing Human Referential Communication.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Efficient Neuromorphic QUBO Solver with Spintronic Resonators.
Proceedings of the 7th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2025

2024
A Distributed Adaptive Second-Order Latent Factor Analysis Model.
IEEE CAA J. Autom. Sinica, November, 2024

ViPRA-Haplo: De Novo Reconstruction of Viral Populations Using Paired End Sequencing Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Alternating nonnegative least squares-incorporated regularized symmetric latent factor analysis for undirected weighted networks.
Neurocomputing, 2024

Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Model.
CoRR, 2024

Representation Learning on Event Stream via an Elastic Net-incorporated Tensor Network.
CoRR, 2024

Link Prediction for Dynamic Weighted Graph via Adaptive Nonnegative Tensor CP Decomposition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Boosting A Non-Negative Matrix Factorization-Based Community Detector via Graph Convolution Regularization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

A Prior Knowledge-embedded Framework for Occupational Pneumoconiosis Staging.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2024

Counting Repetitive Actions in Event Stream.
Proceedings of the IEEE International Conference on Image Processing, 2024

Detecting Fetal Growth Restriction in Early Pregnancy.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

Enhancing NMF-Based Community Detection via A Higher-Order Proximity-Incorporated Graph Attention Autoencoder.
Proceedings of the 7th International Conference on Algorithms, 2024

2023
A Momentum-Accelerated Hessian-Vector-Based Latent Factor Analysis Model.
IEEE Trans. Serv. Comput., 2023

A Second-Order Symmetric Non-Negative Latent Factor Model for Undirected Weighted Network Representation.
IEEE Trans. Netw. Sci. Eng., 2023

Multi-constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Large-scale Undirected Weighted Networks.
CoRR, 2023

Multi-Constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Undirected Weighted Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Spatio-Temporal Traffic Data Recovery Via Latent Factorization of Tensors Based on Tucker Decomposition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Incorporating Event Information for High-Quality Video Interpolation.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023

Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Assimilating Second-Order Information for Building Non-Negative Latent Factor Analysis-Based Recommenders.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Incoporating Weighted Board Learning System for Accurate Occupational Pneumoconiosis Staging.
CoRR, 2022

A Practical Second-order Latent Factor Model via Distributed Particle Swarm Optimization.
CoRR, 2022

Second-order Symmetric Non-negative Latent Factor Analysis.
CoRR, 2022

An Adaptive Second-order Latent Factor Model via Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

A Bi-branch Dark Channel Differential Convolutional Neural Network for Occupational Pneumoconiosis Staging.
Proceedings of the International Joint Conference on Neural Networks, 2022

Accurate Occupational Pneumoconiosis Staging with Imbalanced Data.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

Distributed-Particle-Swarm-Optimization-Incorporated Second-order Latent Factor Model.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

2021
Highly-Confident Protein Interactome Prediction via Variational Autoencoder.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

A Truncated Newton Method-Based Symmetric Non-negative Latent Factor Model for Large-scale Undirected Networks Representation.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

A Generalized Nesterov-Accelerated Hessian-Vector-Based Latent Factor Analysis Model for QoS Prediction.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020
A Fast Deep AutoEncoder for high-dimensional and sparse matrices in recommender systems.
Neurocomputing, 2020

A Generalized-Momentum-Accelerated Hessian-Vector Algorithm for High-Dimensional and Sparse Data.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Maximizing Reliability of Data-Intensive Workflow Systems with Active Fault Tolerance Schemes in Cloud.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019
A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K In human populations.
PLoS Comput. Biol., 2019

Optimal Device Management Service Selection in Internet-of-Things.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018
Fluctuation-Aware and Predictive Workflow Scheduling in Cost-Effective Infrastructure-as-a-Service Clouds.
IEEE Access, 2018

An Academic Social Network Friend Recommendation Algorithm Based on Decision Tree.
Proceedings of the 2018 IEEE SmartWorld, 2018

2017
An Energy-Aware and Under-SLA-Constraints VM Consolidation Strategy Based on the Optimal Matching Method.
Int. J. Web Serv. Res., 2017

On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds.
Int. J. Distributed Sens. Networks, 2017

Implementation of Academic News Recommendation System Based on User Profile and Message Semantics.
Proceedings of the Computational Intelligence and Intelligent Systems, 2017

A Novel Approach for Author Name Disambiguation Using Ranking Confidence.
Proceedings of the Database Systems for Advanced Applications, 2017

2016
A Stochastic-Petri-Net-Based Model for Ontology-Based Service Composition.
Proceedings of the 9th International Conference on Service Science, 2016

On Stochastic Performance and Cost-Aware Optimal Capacity Planning of Unreliable Infrastructure-as-a-Service Cloud.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

2015
Natural Gradient Learning Algorithms for RBF Networks.
Neural Comput., 2015

2011
Deductive Databases with Universally Quantified Conditions.
Proceedings of the XXVI Simpósio Brasileiro de Banco de Dados, 2011

Maintaining Integrity Constraints among Distributed Ontologies.
Proceedings of the International Conference on Complex, 2011

2010
Maintaining integrity constraints in relational to OWL transformations.
Proceedings of the Fifth IEEE International Conference on Digital Information Management, 2010

Handling Negation in General Deductive Databases: A Program Transformation Method.
Proceedings of the 16th International Conference on Management of Data, 2010


  Loading...