An Intelligent Edge Computing Based Semantic Gateway for Healthcare Systems Interoperability and Collaboration. - Tshiamo Sigwele; Yim-Fun Hu; Muhammad Ali 001; Jiacheng Hou; Misfa Susanto; Helmy Fitriawan (FiCloud, 2018)

Intelligent and Energy Efficient Mobile Smartphone Gateway for Healthcare Smart Devices Based on 5G. - Tshiamo Sigwele; Yim-Fun Hu; Muhammad Ali 001; Jiacheng Hou; Misfa Susanto; Helmy Fitriawan (GLOBECOM, 2018)

A GNN-based Approach to Optimize Cache Hit Ratio in NDN Networks. - Jiacheng Hou; Huanzhang Xia; Haoye Lu; Amiya Nayak (GLOBECOM, 2021)

Reversible data hiding based on multiple histograms modification and deep neural networks. - Jiacheng Hou; Bo Ou; Huawei Tian; Zheng Qin 001 (Signal Process. Image Commun., 2021)

GNN-based End-to-end Delay Prediction in Software Defined Networking. - Zhun Ge; Jiacheng Hou; Amiya Nayak (DCOSS, 2022)

A Graph Neural Network Approach for Caching Performance Optimization in NDN Networks. - Jiacheng Hou; Huanzhang Xia; Haoye Lu; Amiya Nayak (IEEE Access, 2022)

A Graph-Based Spatial-Temporal Deep Reinforcement Learning Model for Edge Caching. - Jiacheng Hou; Amiya Nayak (GLOBECOM, 2023)

An Optimized GNN-Based Caching Scheme for SDN-Based Information-Centric Networks. - Jiacheng Hou; Tianhao Tao; Haoye Lu; Amiya Nayak (GLOBECOM, 2023)

A GNN-DRL-based Collaborative Edge Computing Strategy for Partial Offloading. - Tianhao Tao; Jiacheng Hou; Amiya Nayak (GLOBECOM, 2023)

Spatial-Temporal Graph Attention-Based Multi-Agent Reinforcement Learning in Cooperative Edge Caching. - Jiacheng Hou; Amiya Nayak (ICC, 2023)

Forecasting SDN End-to-End Latency Using Graph Neural Network. - Zhun Ge; Jiacheng Hou; Amiya Nayak (ICOIN, 2023)

Intelligent Caching with Graph Neural Network-Based Deep Reinforcement Learning on SDN-Based ICN. - Jiacheng Hou; Tianhao Tao; Haoye Lu; Amiya Nayak (Future Internet, 2023)

A GNN-based proactive caching strategy in NDN networks. - Jiacheng Hou; Haoye Lu; Amiya Nayak (Peer Peer Netw. Appl., 2023)

G2LP-Net: Global to Local Progressive Video Inpainting Network. - Zhong Ji; Jiacheng Hou; Yimu Su; Yanwei Pang; Xuelong Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

MCD-Net: Toward RGB-D Video Inpainting in Real-World Scenes. - Jiacheng Hou; Zhong Ji; Jinyu Yang; Chengjie Wang; Feng Zheng (IEEE Trans. Image Process., 2024)

Raformer: Redundancy-Aware Transformer for Video Wire Inpainting. - Zhong Ji; Yimu Su; Yan Zhang 135; Jiacheng Hou; Yanwei Pang; Jungong Han (IEEE Trans. Image Process., 2025)

Bidirectional Error-Aware Fusion Network for Video Inpainting. - Jiacheng Hou; Zhong Ji; Jinyu Yang; Feng Zheng (IEEE Trans. Circuits Syst. Video Technol., 2025)

BrainNetMLP: An Efficient and Effective Baseline for Functional Brain Network Classification. - Jiacheng Hou; Zhenjie Song; Ercan Engin Kuruoglu (CoRR, 2025)

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models. - Zheda Mai; Arpita Chowdhury; Zihe Wang; Sooyoung Jeon; Lemeng Wang; Jiacheng Hou; Jihyung Kil; Wei-Lun Chao (CoRR, 2025)