Zhongfeng Kang

Orcid: 0000-0001-9025-0748

According to our database1, Zhongfeng Kang authored at least 24 papers between 2017 and 2025.

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

Timeline

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Bibliography

2025
EM-MIAs: Enhancing Membership Inference Attacks in Large Language Models through Ensemble Modeling.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Invariant feature based label correction for DNN when Learning with Noisy Labels.
Neural Networks, 2024

Is word order considered by foundation models? A comparative task-oriented analysis.
Expert Syst. Appl., 2024

Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity.
CoRR, 2024

AVSS: Layer Importance Evaluation in Large Language Models via Activation Variance-Sparsity Analysis.
CoRR, 2024

2023
Mask-FPAN: Semi-supervised face parsing in the wild with de-occlusion and UV GAN.
Comput. Graph., November, 2023

TraceNet: Tracing and locating the key elements in sentiment analysis.
Knowl. Based Syst., October, 2023

Enhancing text representations separately with entity descriptions.
Neurocomputing, October, 2023

Causal inference multi-agent reinforcement learning for traffic signal control.
Inf. Fusion, June, 2023

Partial feedback online transfer learning with multi-source domains.
Inf. Fusion, 2023

Online transfer learning with partial feedback.
Expert Syst. Appl., 2023

Design and Implementation of A Soccer Ball Detection System with Multiple Cameras.
CoRR, 2023

Active Transfer Learning for 3D Hippocampus Segmentation.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2022
A buffered online transfer learning algorithm with multi-layer network.
Neurocomputing, 2022

2021
IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control.
Neural Networks, 2021

A noisy label and negative sample robust loss function for DNN-based distant supervised relation extraction.
Neural Networks, 2021

Build complementary models on human feedback for simulation to the real world.
Knowl. Based Syst., 2021

2020
Memory-aware gated factorization machine for top-N recommendation.
Knowl. Based Syst., 2020

Online transfer learning with multiple source domains for multi-class classification.
Knowl. Based Syst., 2020

2019
Cooperative traffic signal control using Multi-step return and Off-policy Asynchronous Advantage Actor-Critic Graph algorithm.
Knowl. Based Syst., 2019

OTLAMC: An Online Transfer Learning Algorithm for Multi-class Classification.
Knowl. Based Syst., 2019

Hybrid Collaborative Filtering with Semi-Stacked Denoising Autoencoders for Recommendation.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018
A Gradient Tree Boosting based Approach to Rumor Detecting on Sina Weibo.
CoRR, 2018

2017
A Study of Optimal Multi-server System Configuration with Variate Deadlines and Rental Prices in Cloud Computing.
Proceedings of the Human Centered Computing - Third International Conference, 2017


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