Wenye Li

Orcid: 0000-0002-5679-9670

Affiliations:
  • Chinese University of Hong Kong, School of Science and Engineering, Shenzhen, China
  • Shenzhen Research Institute of Big Data, China
  • Macao Polytechnic Institute, School of Public Administration, Macao (2009 - 2016)
  • University of Alberta, Department of Computing Science, Edmonton, AB, Canada (2007 - 2009)
  • Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong (PhD 2007)


According to our database1, Wenye Li authored at least 58 papers between 2006 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Online estimation of similarity matrices with incomplete data.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Metric Nearness Made Practical.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Beyond Random Selection: A Perspective from Model Inversion in Personalized Federated Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Calibrating Distance Metrics Under Uncertainty.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

EFL: Elastic Federated Learning on Non-IID Data.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Asynchronous Personalized Federated Learning with Irregular Clients.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Federated Two-stage Learning with Sign-based Voting.
CoRR, 2021

Towards Heterogeneous Clients with Elastic Federated Learning.
CoRR, 2021

Learning Sparse Binary Code for Maximum Inner Product Search.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Binary Random Projections with Controllable Sparsity Patterns.
CoRR, 2020

Large-scale Image Retrieval with Sparse Binary Projections.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Modeling Winner-Take-All Competition in Sparse Binary Projections.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Sparse Lifting of Dense Vectors: A Unified Approach to Word and Sentence Representations.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Functional Regions Discovery and Evaluation using Spatial and Semantic Data.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

Sparse Binary Optimization for Text Classification via Frank Wolfe Algorithm.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

Scalable Calibration of Affinity Matrices from Incomplete Observations.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations.
CoRR, 2019

AuxBlocks: Defense Adversarial Example via Auxiliary Blocks.
CoRR, 2019

Discovering Functional Regions in Modern Cities by Using User Check-in Records and POIs.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

To Shift Tasks or To Shift Energy by ESDs? An Economical Scheduling for Cloud Data Center.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

GreenFlowing: A Green Way of Reducing Electricity Cost for Cloud Data Center Using Heterogeneous ESDs.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

AuxBlocks: Defense Adversarial Examples via Auxiliary Blocks.
Proceedings of the International Joint Conference on Neural Networks, 2019

An Augmented Transformer Architecture for Natural Language Generation Tasks.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

An Efficient, Secure and Reliable Search Scheme for Dynamic Updates with Blockchain.
Proceedings of the ICCNS 2019: The 9th International Conference on Communication and Network Security, 2019

2018
Network Community Detection with A Successive Spectral Relaxation Method.
CoRR, 2018

Fast Similarity Search via Optimal Sparse Lifting.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2015
Visualizing network communities with a semi-definite programming method.
Inf. Sci., 2015

Highlighting data clusters by graph embedding.
Neurocomputing, 2015

Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Early-Stopping Regularized Least-Squares Classification.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Gaussian Process Learning: A Divide-and-Conquer Approach.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Privacy Preserving Clustering: A k-Means Type Extension.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

A Unified Framework for Privacy Preserving Data Clustering.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Automated text categorization by generalized kernel machines.
Proceedings of the IEEE International Conference on Information and Automation, 2014

Modularity-based community detection in large networks: An empirical evaluation.
Proceedings of the IEEE International Conference on Information and Automation, 2014

2013
Revealing network communities with a nonlinear programming method.
Inf. Sci., 2013

Modularity Segmentation.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Modularity Embedding.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

A parallel Probabilistic Latent Semantic Analysis method on MapReduce platform.
Proceedings of the IEEE International Conference on Information and Automation, 2013

2012
Clustering with Uncertainties: An Affinity Propagation-Based Approach.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

r-Anonymized Clustering.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Modular Community Detection in Networks.
Proceedings of the IJCAI 2011, 2011

Wireless sensor network cluster locations: A probabilistic inference approach.
Proceedings of the IEEE International Conference on Automation and Logistics, 2011

2009
Fast normalized cut with linear constraints.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Lower integrals and upper integrals with respect to nonadditive set functions.
Fuzzy Sets Syst., 2008

2007
Generalized regularized learning.
PhD thesis, 2007

Generalizing the Bias Term of Support Vector Machines.
Proceedings of the IJCAI 2007, 2007

Large-scale RLSC learning without agony.
Proceedings of the Machine Learning, 2007

2006
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Clustering with a Semantic Criterion Based on Dimensionality Analysis.
Proceedings of the Neural Information Processing, 13th International Conference, 2006


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