A Study of Optimal Multi-server System Configuration with Variate Deadlines and Rental Prices in Cloud Computing. - Zhongfeng Kang; Bo Yang 011 (HCC, 2017)

A Gradient Tree Boosting based Approach to Rumor Detecting on Sina Weibo. - Xiao Xiong; Bo Yang 011; Zhongfeng Kang (CoRR, 2018)

Hybrid Collaborative Filtering with Semi-Stacked Denoising Autoencoders for Recommendation. - Hairui Zou; Chaoxian Chen; Changjian Zhao; Bo Yang 011; Zhongfeng Kang (DASC/PiCom/DataCom/CyberSciTech, 2019)

OTLAMC: An Online Transfer Learning Algorithm for Multi-class Classification. - Zhongfeng Kang; Bo Yang 011; Zesong Li; Peng Wang (Knowl. Based Syst., 2019)

Cooperative traffic signal control using Multi-step return and Off-policy Asynchronous Advantage Actor-Critic Graph algorithm. - Shantian Yang; Bo Yang 011; Hau-San Wong; Zhongfeng Kang (Knowl. Based Syst., 2019)

Online transfer learning with multiple source domains for multi-class classification. - Zhongfeng Kang; Bo Yang 011; Shantian Yang; Xiaomei Fang; Changjian Zhao (Knowl. Based Syst., 2020)

Memory-aware gated factorization machine for top-N recommendation. - Bo Yang 011; Jing Chen; Zhongfeng Kang; Dongsheng Li 002 (Knowl. Based Syst., 2020)

Build complementary models on human feedback for simulation to the real world. - Zixuan Deng; Yanping Xiang; Zhongfeng Kang (Knowl. Based Syst., 2021)

A noisy label and negative sample robust loss function for DNN-based distant supervised relation extraction. - Lihui Deng; Bo Yang 011; Zhongfeng Kang; Shantian Yang; Shihu Wu (Neural Networks, 2021)

IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control. - Shantian Yang; Bo Yang 011; Zhongfeng Kang; Lihui Deng (Neural Networks, 2021)

A buffered online transfer learning algorithm with multi-layer network. - Zhongfeng Kang; Bo Yang 011; Mads Nielsen; Lihui Deng; Shantian Yang (Neurocomputing, 2022)

Active Transfer Learning for 3D Hippocampus Segmentation. - Ji Wu; Zhongfeng Kang; Sebastian Nørgaard Llambias; Mostafa Mehdipour-Ghazi; Mads Nielsen (MILLanD@MICCAI, 2023)

Design and Implementation of A Soccer Ball Detection System with Multiple Cameras. - Lei Li 050; Tianfang Zhang; Zhongfeng Kang; Wenhan Zhang (CoRR, 2023)

Online transfer learning with partial feedback. - Zhongfeng Kang; Mads Nielsen; Bo Yang 011; Lihui Deng; Stephan Sloth Lorenzen (Expert Syst. Appl., 2023)

Partial feedback online transfer learning with multi-source domains. - Zhongfeng Kang; Mads Nielsen; Bo Yang 011; Mostafa Mehdipour-Ghazi (Inf. Fusion, 2023)

Causal inference multi-agent reinforcement learning for traffic signal control. - Shantian Yang; Bo Yang 011; Zheng Zeng; Zhongfeng Kang (Inf. Fusion, 2023)

Enhancing text representations separately with entity descriptions. - Qinghua Zhao; Yuxuan Lei; Qiang Wang; Zhongfeng Kang; Junfeng Liu (Neurocomputing, 2023)

TraceNet: Tracing and locating the key elements in sentiment analysis. - Qinghua Zhao; Junfeng Liu; Zhongfeng Kang; Zenghui Zhou (Knowl. Based Syst., 2023)

Mask-FPAN: Semi-supervised face parsing in the wild with de-occlusion and UV GAN. - Lei Li 050; Tianfang Zhang; Zhongfeng Kang; Xikun Jiang (Comput. Graph., 2023)

AVSS: Layer Importance Evaluation in Large Language Models via Activation Variance-Sparsity Analysis. - Zichen Song; Yuxin Wu; Sitan Huang; Zhongfeng Kang (CoRR, 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)

Is word order considered by foundation models? A comparative task-oriented analysis. - Qinghua Zhao; Jiaang Li 002; Junfeng Liu; Zhongfeng Kang; Zenghui Zhou (Expert Syst. Appl., 2024)

Invariant feature based label correction for DNN when Learning with Noisy Labels. - Lihui Deng; Bo Yang 011; Zhongfeng Kang; Yanping Xiang (Neural Networks, 2024)

EM-MIAs: Enhancing Membership Inference Attacks in Large Language Models through Ensemble Modeling. - Zichen Song; Sitan Huang; Zhongfeng Kang (ICASSP, 2025)