Jianhui Sun

Orcid: 0000-0003-0032-3646

According to our database1, Jianhui Sun authored at least 24 papers between 2017 and 2024.

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

2024
2D-SenseNet: A Simultaneous Demodulation and Denoising Network for DAS.
IEEE Trans. Instrum. Meas., 2024

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.
CoRR, 2024

On the Role of Server Momentum in Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Prediction of fiber Rayleigh scattering responses based on deep learning.
Sci. China Inf. Sci., December, 2023

Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD.
ACM Trans. Knowl. Discov. Data, February, 2023

frDSM: An Ensemble Predictor With Effective Feature Representation for Deleterious Synonymous Mutation in Human Genome.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Dynamic Transfer Learning across Graphs.
CoRR, 2023

Solving a Class of Non-Convex Minimax Optimization in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Conditional Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhance Diffusion to Improve Robust Generalization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Understanding and Enhancing Robustness of Concept-Based Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Demystify Hyperparameters for Stochastic Optimization with Transferable Representations.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

71-76GHz Traveling Wave Tube Amplifier for High-data-rate Wireless Communication.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Augmenting Knowledge Transfer across Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
A Stagewise Hyperparameter Scheduler to Improve Generalization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Visual question answering with attention transfer and a cross-modal gating mechanism.
Pattern Recognit. Lett., 2020

Correlation Networks for Extreme Multi-label Text Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Malicious Attacks against Deep Reinforcement Learning Interpretations.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Refining Proposals with Neighboring Contexts for Temporal Action Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Recurrent Imputation for Multivariate Time Series with Missing Values.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018
A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison.
NeuroImage, 2018

Flow and Heat Transfer in the Tree-Like Branching Microchannel with/without Dimples.
Entropy, 2018

2017
600V 30A SiC IPM with Low Power Loss for Motor Drive Applications.
IEICE Trans. Electron., 2017


  Loading...