Zhongfeng Kang

According to our database, Zhongfeng Kang authored at least 32 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Layer-wise Analysis of Supervised Fine-Tuning.

Qinghua Zhao, Xueling Gong, Xinyu Chen, Zhongfeng Kang, Xinlu Li

CoRR, April, 2026

Subspace-constrained graph unlearning for forgetting high-risk compound-protein interactions.

Yunjian Zhang, Rizhen Hu, Yixuan Li, Zhongfeng Kang

Knowl. Based Syst., 2026

FDDGNet: An information bottleneck-inspired feature disentanglement network for cross-subject EEG-based emotion recognition.

Yikun Yang, Lifei Duan, Kechen Hou, Zhongfeng Kang, Xiaowei Zhang, Bin Hu

Neurocomputing, 2026

HMP-Net: A hierarchical multi-prior network for brain tumor segmentation integrating physics, topology, and tumor dynamics.

Yutong Wang, Zhongfeng Kang, Jiaxue Yang, Shantian Yang, Qinghua Zhao, Zichen Song

Neurocomputing, 2026

ResKANNet: A residual Kolmogorov-Arnold network with multi-scale attention for brain tumor segmentation.

Zhengyi Li, Zhongfeng Kang, Yutong Wang, Xinyu Kang, Shantian Yang, Qinghua Zhao

Neurocomputing, 2026

Compositional concept extraction with multimodal large models: A unified framework with thought chain optimization.

Yuxin Wu, Zichen Song, Sitan Huang, Zhongfeng Kang

Expert Syst. Appl., 2026

When comments aren't what they seem: The social media comment toxicity detector for understanding contextual comments.

Zichen Song, Xiaopeng Fan, Yutong Wang, Feixuan Yan, Zijin Wu, Zhongfeng Kang

Expert Syst. Appl., 2026

2025

EM-MIAs: Enhancing Membership Inference Attacks in Large Language Models through Ensemble Modeling.

Zichen Song, Sitan Huang, Zhongfeng Kang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Invariant feature based label correction for DNN when Learning with Noisy Labels.

Lihui Deng, Bo Yang, Zhongfeng Kang, Yanping Xiang

Neural Networks, 2024

Is word order considered by foundation models? A comparative task-oriented analysis.

Qinghua Zhao, Jiaang Li, Junfeng Liu, Zhongfeng Kang, Zenghui Zhou

Expert Syst. Appl., 2024

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

Zichen Song, Sitan Huang, Yuxin Wu, Zhongfeng Kang

CoRR, 2024

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

Zichen Song, Yuxin Wu, Sitan Huang, Zhongfeng Kang

CoRR, 2024

Separating hard clean samples from noisy samples with samples' learning risk for DNN when learning with noisy labels.

Lihui Deng, Bo Yang, Zhongfeng Kang, Jiajin Wu, Shaosong Li, Yanping Xiang

Complex Intell. Syst., 2024

2023

Mask-FPAN: Semi-supervised face parsing in the wild with de-occlusion and UV GAN.

Lei Li, Tianfang Zhang, Zhongfeng Kang, Xikun Jiang

Comput. Graph., November, 2023

TraceNet: Tracing and locating the key elements in sentiment analysis.

Qinghua Zhao, Junfeng Liu, Zhongfeng Kang, Zenghui Zhou

Knowl. Based Syst., October, 2023

Enhancing text representations separately with entity descriptions.

Qinghua Zhao, Yuxuan Lei, Qiang Wang, Zhongfeng Kang, Junfeng Liu

Neurocomputing, October, 2023

Causal inference multi-agent reinforcement learning for traffic signal control.

Shantian Yang, Bo Yang, Zheng Zeng, Zhongfeng Kang

Inf. Fusion, June, 2023

Partial feedback online transfer learning with multi-source domains.

Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa Mehdipour-Ghazi

Inf. Fusion, 2023

Online transfer learning with partial feedback.

Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan Sloth Lorenzen

Expert Syst. Appl., 2023

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

Lei Li, Tianfang Zhang, Zhongfeng Kang, Wenhan Zhang

CoRR, 2023

Active Transfer Learning for 3D Hippocampus Segmentation.

Ji Wu, Zhongfeng Kang, Sebastian Nørgaard Llambias, Mostafa Mehdipour-Ghazi, Mads Nielsen

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2022

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

Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang

Neurocomputing, 2022

2021

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

Shantian Yang, Bo Yang, Zhongfeng Kang, Lihui Deng

Neural Networks, 2021

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

Lihui Deng, Bo Yang, Zhongfeng Kang, Shantian Yang, Shihu Wu

Neural Networks, 2021

Build complementary models on human feedback for simulation to the real world.

Zixuan Deng, Yanping Xiang, Zhongfeng Kang

Knowl. Based Syst., 2021

2020

Memory-aware gated factorization machine for top-N recommendation.

Bo Yang, Jing Chen, Zhongfeng Kang, Dongsheng Li

Knowl. Based Syst., 2020

Online transfer learning with multiple source domains for multi-class classification.

Zhongfeng Kang, Bo Yang, Shantian Yang, Xiaomei Fang, Changjian Zhao

Knowl. Based Syst., 2020

2019

Cooperative traffic signal control using Multi-step return and Off-policy Asynchronous Advantage Actor-Critic Graph algorithm.

Shantian Yang, Bo Yang, Hau-San Wong, Zhongfeng Kang

Knowl. Based Syst., 2019

OTLAMC: An Online Transfer Learning Algorithm for Multi-class Classification.

Zhongfeng Kang, Bo Yang, Zesong Li, Peng Wang

Knowl. Based Syst., 2019

Hybrid Collaborative Filtering with Semi-Stacked Denoising Autoencoders for Recommendation.

Hairui Zou, Chaoxian Chen, Changjian Zhao, Bo Yang, Zhongfeng Kang

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018

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

Xiao Xiong, Bo Yang, Zhongfeng Kang

CoRR, 2018

2017

A Study of Optimal Multi-server System Configuration with Variate Deadlines and Rental Prices in Cloud Computing.

Zhongfeng Kang, Bo Yang

Proceedings of the Human Centered Computing - Third International Conference, 2017