Lingyang Chu

Orcid: 0000-0002-8937-1750

According to our database1, Lingyang Chu authored at least 42 papers between 2011 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation.
J. Biomed. Informatics, June, 2023

FedCD: A Classifier Debiased Federated Learning Framework for Non-IID Data.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Revealing Unfair Models by Mining Interpretable Evidence.
CoRR, 2022

Mining Minority-Class Examples with Uncertainty Estimates.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Flexible Order Aware Sequential Recommendation.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Cosine Model Watermarking against Ensemble Distillation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Finding Route Hotspots in Large Labeled Networks.
IEEE Trans. Knowl. Data Eng., 2021

Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test.
Proc. VLDB Endow., 2021

Model complexity of deep learning: a survey.
Knowl. Inf. Syst., 2021

Achieving Model Fairness in Vertical Federated Learning.
CoRR, 2021

FedFair: Training Fair Models In Cross-Silo Federated Learning.
CoRR, 2021

Robust Counterfactual Explanations on Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Fair Federated Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Stealthy Targeted Data Poisoning Attack on Knowledge Graphs.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Finding Representative Interpretations on Convolutional Neural Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Personalized Cross-Silo Federated Learning on Non-IID Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Mining top-k sequential patterns in transaction database graphs.
World Wide Web, 2020

Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test.
CoRR, 2020

Personalized Federated Learning: An Attentive Collaboration Approach.
CoRR, 2020

Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Online Density Bursting Subgraph Detection from Temporal Graphs.
Proc. VLDB Endow., 2019

Finding Theme Communities from Database Networks.
Proc. VLDB Endow., 2019

A common subgraph correspondence mining framework for map search services.
Multim. Tools Appl., 2019

Classification with label noise: a Markov chain sampling framework.
Data Min. Knowl. Discov., 2019

2018
Mining Top-k Sequential Patterns in Database Graphs: A New Challenging Problem and a Sampling-based Approach.
CoRR, 2018

Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Mining Density Contrast Subgraphs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Activity Maximization by Effective Information Diffusion in Social Networks.
IEEE Trans. Knowl. Data Eng., 2017

Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering.
CoRR, 2017

Query from Sketch: A Common Subgraph Correspondence Mining Framework.
Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

2016
Effective Multimodality Fusion Framework for Cross-Media Topic Detection.
IEEE Trans. Circuits Syst. Video Technol., 2016

Finding Gangs in War from Signed Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Tradeoffs between density and size in extracting dense subgraphs: A unified framework.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
ALID: Scalable Dominant Cluster Detection.
Proc. VLDB Endow., 2015

2014
Graph-Density-based visual word vocabulary for image retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

2013
Robust Spatial Consistency Graph Model for Partial Duplicate Image Retrieval.
IEEE Trans. Multim., 2013

ObjectSense: a scalable multi-objects recognition system based on partial-duplicate image retrieval.
Proceedings of the International Conference on Multimedia Retrieval, 2013

Cross-media topic detection: A multi-modality fusion framework.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

2011
Detection and location of near-duplicate video sub-clips by finding dense subgraphs.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Fast common visual pattern detection via radiate geometric model.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011


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