Jianfeng Li, Mingxiao Fu, Jun Zhai, Vol. 20, No. 1, January 31, 2026
10.3837/tiis.2026.01.012

• Reverse recommendation
• Pure cold-start item
• Dual pure cold-start problem
• Multiple layers
• Heterogeneous Network

Yang Xu, Yueyi Zhang, Hanting Zhou, Jing Hu, Vol. 19, No. 11, November 30, 2025
10.3837/tiis.2025.11.009

• Recommendation System
• Graph Convolutional Neural Network
• heterogeneous graph
• Collaborative Filtering
• Edge node embedding

Liang Gen, Su Fengyi, Lu Baiyang, Yu Hewei, Vol. 19, No. 10, October 31, 2025
10.3837/tiis.2025.10.019

• Double Deep Q-network
• Deep Reinforcement Learning
• Network Access Control
• Ultra-dense heterogeneous wireless networks (UDHWNs)
• User Preference

Abhishek P Nachankar, Nishat Afshan Ansari, Pooja Jain, Vol. 19, No. 10, October 31, 2025
10.3837/tiis.2025.10.014

• Federated learning
• Smart Traffic
• privacy preservation
• Heterogeneous Data
• communication efficiency
• Scenarios

Zhiqiang Wang, Qianli Huang, Kaixin Wang, Junlai Luo, Zhenguo Dong, Vol. 19, No. 9, September 30, 2025
10.3837/tiis.2025.09.016

• Multimodal fusion
• Fake news detection
• Graph Neural Network
• Abnormal Detection
• heterogeneous graph

Wei Wang, Lin Han, Jiehan Zhou, Jinling Yu, Jingming Xie, Chaowei Kong, Zhenqi Gao, Vol. 19, No. 5, May 31, 2025
10.3837/tiis.2025.05.003

• GPTQ quantization
• heterogeneous platforms
• throughput
• AIGC
• vLLM

Panpan Guo, Gang Zhou, Jicang Lu, Zhufeng Li, Taojie Zhu, Vol. 18, No. 5, May 31, 2024
10.3837/tiis.2024.05.002

• paper recommendation
• SPECTER
• low-rank and sparse matrix factorization
• heterogeneous information network

Tiantian Wang, Jing Wang, Haipeng Wang, Jie Meng, Chunlei Yu, Shuxia Wang, Vol. 17, No. 4, April 30, 2023
10.3837/tiis.2023.04.008

• Fractional Repetition (FR) codes
• distributed storage systems (DSS)
• adaptive-and-resolvable FR codes
• hypergraph
• heterogeneous distributed storage systems

Xibin Jia, Zijia Lu, Qing Mi, Zhefeng An, Xiaoyong Li, Min Hong, Vol. 16, No. 12, December 31, 2022
10.3837/tiis.2022.12.003

• graph deep clustering
• heterogeneous information networks
• representation learning
• student behavior modeling

Si-yuan Sun, Ying Zheng, Jun-hua Zhou, Jiu-xing Weng, Yi-fei Wei, Xiao-jun Wang, Vol. 15, No. 7, July 31, 2021
10.3837/tiis.2021.07.011

• Deep Reinforcement Learning
• green energy
• heterogeneous service
• Mobile Edge Computing
• power consumption
• Resource Allocation