Anran Li

Orcid: 0000-0002-3592-4153

According to our database1, Anran Li authored at least 41 papers between 2016 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization.
BMC Bioinform., December, 2024

You've Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction.
CoRR, 2024

FedMut: Generalized Federated Learning via Stochastic Mutation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Intelligent Segmentation and Change Detection of Dams Based on UAV Remote Sensing Images.
Remote. Sens., December, 2023

FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning.
Proc. ACM Manag. Data, September, 2023

Sewage Discharging in a Line: Global Optimization and Grand Cooperation.
CoRR, 2023

Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning.
CoRR, 2023

An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding.
CoRR, 2023

Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization.
CoRR, 2023

Towards Interpretable Federated Learning.
CoRR, 2023

Learning Program Representations with a Tree-Structured Transformer.
Proceedings of the IEEE International Conference on Software Analysis, 2023

GFL: Federated Learning on Non-IID Data via Privacy-Preserving Synthetic Data.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023

FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning.
Proceedings of the IEEE INFOCOM 2023, 2023

Fairness via Group Contribution Matching.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Federated IoT Interaction Vulnerability Analysis.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Tool Path Adaptation of a Cobot Using Supervisory Control with Machine Learning.
Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023

Modified Bug Algorithm with Proximity Sensors to Reduce Human-Cobot Collisions.
Proceedings of the 9th International Conference on Automation, Robotics and Applications, 2023

2022
Privacy-Preserving Efficient Federated-Learning Model Debugging.
IEEE Trans. Parallel Distributed Syst., 2022

AppDNA: Profiling App Behavior via Deep-Learning Function Call Graphs.
IEEE Trans. Emerg. Top. Comput., 2022

Feature Matching and Position Matching Between Optical and SAR With Local Deep Feature Descriptor.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

A Unified Guaranteed Impression Allocation Framework for Online Display Advertising.
Proceedings of the IEEE International Conference on Data Mining, 2022

Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

TaskRec: Using Causal Graph to Debias in Task Recommendation System.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

PSBCNN: Fine-grained image classification based on pyramid convolution networks and SimAM.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Residue-based Label Protection Mechanisms in Vertical Logistic Regression.
Proceedings of the 8th International Conference on Big Data Computing and Communications, 2022

2021
Reviews and Self-Selection Bias with Operational Implications.
Manag. Sci., 2021

Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection.
Oper. Res., 2021

Revenue Maximization and Learning in Products Ranking.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Sample-level Data Selection for Federated Learning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Efficient Federated-Learning Model Debugging.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Approximation Algorithms for Product Framing and Pricing.
Oper. Res., 2020

Multiplicity of solutions for a class of Kirchhoff type equations with Hardy-Littlewood-Sobolev critical nonlinearity.
Appl. Math. Lett., 2020

Ciron: a New Benchmark Dataset for Chinese Irony Detection.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

IEye: Personalized Image Privacy Detection.
Proceedings of the 6th International Conference on Big Data Computing and Communications, 2020

FATE: Fingerprints Automatically Targeting and Extracting for image source identification.
Proceedings of the 6th International Conference on Big Data Computing and Communications, 2020

2019
Infinitely many solutions to a quasilinear Schrödinger equation with a local sublinear term.
Appl. Math. Lett., 2019

TODQA: Efficient Task-Oriented Data Quality Assessment.
Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019

AuthLedger: A Novel Blockchain-based Domain Name Authentication Scheme.
Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019

2018
AppDNA: App Behavior Profiling via Graph-based Deep Learning.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Analysis of Man-In-The-Middle of Attack on Bitcoin Address.
Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018

2016
A Study of Valence & Argument Integration in Chinese Verb-Resultative Complement.
Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation, 2016


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