Approximating the double-cut-and-join distance between unsigned genomes. - Xin Chen; Ruimin Sun; Jiadong Yu (BMC Bioinform., 2011)

An Efficient 3-D Mapping Algorithm for RGB-D SLAM. - Jiadong Yu; Zhixiang You; Ping An; Jie Xia (IFTC, 2017)

Efficient and Robust Homography Estimation Using Compressed Convolutional Neural Network. - Guoping Wang; Zhixiang You; Ping An; Jiadong Yu; Yilei Chen (IFTC, 2018)

Modularity-Based Dynamic Clustering for Energy Efficient UAVs-Aided Communications. - Jiadong Yu; Rong Zhang 001; Yue Gao 001; Lie-Liang Yang (IEEE Wirel. Commun. Lett., 2018)

Spatial Channel Covariance Estimation for Hybrid mmWave Multi-User MIMO Systems. - Jiadong Yu; Xiaolan Liu 001; Haoran Qi; Wei Zhang 001; Yue Gao 001 (GLOBECOM, 2019)

Robust Compressive Sensing of Multiband Spectrum with Partial and Incorrect Priors. - Haoran Qi; Jiadong Yu; Andrea Cavallaro; Yue Gao 001 (ICC, 2019)

Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing. - Xiaolan Liu 001; Jiadong Yu; Yue Gao 001 (CoRR, 2020)

Resource Allocation With Edge Computing in IoT Networks via Machine Learning. - Xiaolan Liu 001; Jiadong Yu; Jian Wang 025; Yue Gao 001 (IEEE Internet Things J., 2020)

3D Channel Tracking for UAV-Satellite Communications in Space-Air-Ground Integrated Networks. - Jiadong Yu; Xiaolan Liu 001; Yue Gao 001; Xuemin Shen (IEEE J. Sel. Areas Commun., 2020)

Long-Term Channel Statistic Estimation for Highly-Mobile Hybrid MmWave Multi-User MIMO Systems. - Jiadong Yu; Xiaolan Liu 001; Haoran Qi; Yue Gao 001 (IEEE Trans. Veh. Technol., 2020)

Learning to Predict the Mobility of Users in Mobile mmWave Networks. - Xiaolan Liu 001; Jiadong Yu; Haoran Qi; Jianxin Yang; Wenge Rong; Xiuyin Zhang; Yue Gao 001 (IEEE Wirel. Commun., 2020)

On-Grid 3D Dynamic Channel Tracking for Space-Air Communications with Multiple UAVs. - Jiadong Yu; Xiaolan Liu 001; Yue Gao 001 (ICCC, 2021)

Ultra-wide Bandwidth Thin-film LiNbO3 Modulator with Record-Low Half-wave-voltage Length Product. - Xuecheng Liu; Bing Xiong 002; Changzheng Sun; Zhibiao Hao; Lai Wang; Jian Wang; Yanjun Han; Hongtao Li; Jiadong Yu; Yi Luo (OFC, 2021)

6G Mobile-Edge Empowered Metaverse: Requirements, Technologies, Challenges and Research Directions. - Jiadong Yu; Ahmad Alhilal; Pan Hui 001; Danny H. K. Tsang (CoRR, 2022)

3D On and Off-Grid Dynamic Channel Tracking for Multiple UAVs and Satellite Communications. - Jiadong Yu; Xiaolan Liu 001; Yue Gao 001; Xuemin Shen (IEEE Trans. Wirel. Commun., 2022)

Deep Learning for Channel Tracking in IRS-Assisted UAV Communication Systems. - Jiadong Yu; Xiaolan Liu 001; Yue Gao 001; Chiya Zhang; Wei Zhang 001 (IEEE Trans. Wirel. Commun., 2022)

The Opto-Mechanical-Thermal Coupling Analysis and Verification of an All-Aluminum Freeform Imaging Telescope. - Rong Gao; Jinpeng Li; Peng Wang; Jiadong Yu; Yongjun Xie; Xianglong Mao (Symmetry, 2022)

QoE Optimization for VR Streaming: a Continual RL Framework in Digital Twin-empowered MEC. - Jiadong Yu; Ahmad Alhilal; Tailin Zhou; Pan Hui 001; Danny H. K. Tsang (GLOBECOM, 2023)

Energy Efficient IRS Assisted NOMA Aided Mobile Edge Computing via Heterogeneous Multi-Agent Reinforcement Learning. - Jiadong Yu; Yang Li 049; Xiaolan Liu 001; Bo Sun 004; Yuan Wu 001; Danny H. K. Tsang (ICC, 2023)

Determining Temporal Linkages in Dynamic Epidemiological Networks Using the Earth Mover's Distance. - Rahul Singh; Jiadong Yu (ICCABS, 2023)

An Integrated Shape-Texture Descriptor for Modeling Whole-Organism Phenotypes in Drug Screening. - Jiadong Yu; Rahul Singh (ISVC (1), 2023)

Distributed Intelligence in Wireless Networks. - Xiaolan Liu 001; Jiadong Yu; Yuanwei Liu; Yue Gao 001; Toktam Mahmoodi; Sangarapillai Lambotharan; Danny Hin-Kwok Tsang (IEEE Open J. Commun. Soc., 2023)

IRS Assisted NOMA Aided Mobile Edge Computing With Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning. - Jiadong Yu; Yang Li 049; Xiaolan Liu 001; Bo Sun 004; Yuan Wu 001; Danny Hin-Kwok Tsang (IEEE Trans. Wirel. Commun., 2023)

Image Segmentation by Latent Space Phase-Gating with Applications in High-Content Screening. - Jiadong Yu; Rahul Singh (ISVC (2), 2024)

Design of a 0.1-16GHz Reconfigurable Ultra-Wideband MMIC Power Amplifier. - Heyang Sun; Jingchang Nan; Jiadong Yu; Rufei Wang (IEEE Access, 2024)

Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System. - Tailin Zhou; Jiadong Yu; Jun Zhang 004; Danny H. K. Tsang (CoRR, 2024)

Biologically-Inspired Technologies: Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins. - Chen Shang; Jiadong Yu; Dinh Thai Hoang (CoRR, 2024)

Energy-Latency Aware Intelligent Reflecting Surface Aided Multi-Cell Mobile Edge Computing. - Wenhan Xu; Jiadong Yu; Yuan Wu 001; Danny H. K. Tsang (IEEE Trans. Green Commun. Netw., 2024)

Joint Channel Estimation and Reinforcement-Learning-Based Resource Allocation of Intelligent-Reflecting-Surface-Aided Multicell Mobile Edge Computing. - Wenhan Xu; Jiadong Yu; Yuan Wu 001; Danny Hin-Kwok Tsang (IEEE Internet Things J., 2024)

Bi-Directional Digital Twin and Edge Computing in the Metaverse. - Jiadong Yu; Ahmad Alhilal; Pan Hui 001; Danny H. K. Tsang (IEEE Internet Things Mag., 2024)

Attention-Based QoE-Aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality. - Jiadong Yu; Ahmad Yousef Alhilal; Tailin Zhou; Pan Hui 001; Danny H. K. Tsang (IEEE Trans. Wirel. Commun., 2024)

Energy-Efficient Decentralized Federated Learning for UAV Swarm With Spiking Neural Networks and Leader Election Mechanism. - Chen Shang; Dinh Thai Hoang; Min Hao 001; Dusit Niyato; Jiadong Yu (IEEE Wirel. Commun. Lett., 2024)

Energy-Efficient and Intelligent ISAC in V2X Networks with Spiking Neural Networks-Driven DRL. - Chen Shang; Jiadong Yu; Dinh Thai Hoang (CoRR, 2025)

Constructing the Metaverse With a New Perspective: UAV FoV-Assisted Low-Latency Imaging. - Chen Shang; Dinh Thai Hoang; Jiadong Yu; Min Hao 001; Dusit Niyato (IEEE Wirel. Commun. Lett., 2025)

Improve the Training Efficiency of DRL for Wireless Communication Resource Allocation: The Role of Generative Diffusion Models. - Xinren Zhang; Jiadong Yu (CoRR, 2025)

On Path to Multimodal Historical Reasoning: HistBench and HistAgent. - Jiahao Qiu; Fulian Xiao; Yimin Wang; Yuchen Mao; Yijia Chen; Xinzhe Juan; Siran Wang; Xuan Qi; Tongcheng Zhang; Zixin Yao; Jiacheng Guo; Yifu Lu; et al. (CoRR, 2025)

Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe Extraction. - Ziru Zhang; Jiadong Yu; Danny H. K. Tsang (CoRR, 2025)