Feng Wu

Orcid: 0000-0001-7266-5579

Affiliations:
  • Intel Corporation, Shanghai, China


According to our database1, Feng Wu authored at least 24 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Deep Ensemble Stochastic Configuration Network via Graph Intuitionistic Fuzzy for Depression Recognition.
IEEE Trans. Fuzzy Syst., September, 2025

Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

Semantic-Aware Late-Stage Supervised Contrastive Learning for Fine-Grained Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., June, 2025

Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Long-Term Feature Extraction via Frequency Prediction for Efficient Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

Exploring the Better Correlation for Few-Shot Video Object Segmentation.
IEEE Trans. Circuits Syst. Video Technol., March, 2025

Learned Image Compression With Efficient Cross-Platform Entropy Coding.
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2025

A New Methodology for Calculating the Statistical Distribution of Power Supply Noise in Chip-Package-PCB Co-Design.
IEEE Trans. Instrum. Meas., 2025

2024
Toward Decentralized Task Offloading and Resource Allocation in User-Centric MEC.
IEEE Trans. Mob. Comput., December, 2024

Object Segmentation-Assisted Inter Prediction for Versatile Video Coding.
IEEE Trans. Broadcast., December, 2024

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Energy-Efficient Blockchain-Enabled User-Centric Mobile Edge Computing.
IEEE Trans. Cogn. Commun. Netw., August, 2024

Calculation of the Worst-Case Voltage Noise for a Power Distribution Network Based on Ramp Current.
IEEE Trans. Circuits Syst. I Regul. Pap., June, 2024

Joint Optimization of Base Station Clustering and Service Caching in User-Centric MEC.
IEEE Trans. Mob. Comput., May, 2024

Vision-and-Language Navigation via Latent Semantic Alignment Learning.
IEEE Trans. Multim., 2024

Graph-DETR4D: Spatio-Temporal Graph Modeling for Multi-View 3D Object Detection.
IEEE Trans. Image Process., 2024

Event-Based Stereo Depth Estimation by Temporal-Spatial Context Learning.
IEEE Signal Process. Lett., 2024

MILP-StuDio: MILP Instance Generation via Block Structure Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Scene Adaptive Sparse Transformer for Event-based Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Fast Estimation of a Statistical Eye Diagram for Nonlinear High-Speed Links Based on the Minimum Required Order of the Multiple Edge Response Method.
IEEE Trans. Very Large Scale Integr. Syst., February, 2023

Towards Decentralized Task Offloading and Resource Allocation in User-Centric Mobile Edge Computing.
CoRR, 2023

2021
Fast and Accurate Estimation of Statistical Eye Diagram for Nonlinear High-Speed Links.
IEEE Trans. Very Large Scale Integr. Syst., 2021

2020
A Novel Decision Feedback Equalization Structure for Nonlinear High-Speed Links.
IEEE Access, 2020


  Loading...