Sijing Duan

According to our database, Sijing Duan authored at least 27 papers between 2017 and 2026.

Collaborative distances:

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

2026

Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding.

Weixu Zhang, Fanghua Ye, Qiang Gao, Jian Li, Haolun Wu, Yuxing Tian, Sijing Duan, Nan Du, Xiaolong Li, Xue Liu

CoRR, April, 2026

MLFCIL: A Multi-Level Forgetting Mitigation Framework for Federated Class-Incremental Learning in LEO Satellites.

Heng Zhang, Xiaohong Deng, Sijing Duan, Wu Ouyang, KM Mahfujul, Yiqin Deng, Zhigang Chen

CoRR, April, 2026

Cloud-Edge Collaborative Large Models for Robust Photovoltaic Power Forecasting.

Nan Qiao, Shuning Wang, Sijing Duan, Wenpeng Cui, Yuzhe Chen, Qingchen Yang, Xingyuan Hua, Ju Ren

CoRR, March, 2026

Exploring Cellular User Re-Identification Risks With Networking Behaviors Analysis and Modeling.

Sijing Duan, Feng Lyu, Shanshan Wang, Yi Ding, Xiaohao He, Yaoxue Zhang

IEEE Trans. Mob. Comput., February, 2026

AttrAppGen: User Attribute-Aware App Usage Trace Generation With Large Language Models.

Sijing Duan, Wenxiong Chen, Songlin Liu, Feng Lyu, Yaoxue Zhang

IEEE Trans. Netw. Sci. Eng., 2026

Energy-Aware and Loss-Resilient Data Collection for AAV-Assisted Unbalanced IoT Networks.

Yingying Ren, Shaolin Liu, Chaohong Tan, Sijing Duan, Zuqiang Meng, Yongxin Liu, Anfeng Liu, Houbing Herbert Song

IEEE Trans. Cogn. Commun. Netw., 2026

2025

Mobile Network Data Synthesis with Generative AI: Challenges and Solutions.

Sijing Duan, Ye Zhang, Feng Lyu, Conghao Zhou, Xuemin Shen

IEEE Commun. Mag., December, 2025

MoCo: Urban User Mobile Contact Detection Based on Cellular Signaling Trace.

Sijing Duan, Feng Lyu, Jing Zhang, Huali Lu, Peng Yang, Huaqing Wu, Yaoxue Zhang, Xuemin Shen

IEEE Trans. Mob. Comput., August, 2025

NC-Load: On-Demand Program Loading and Running for Computing Sharing Among IoT Devices.

Yanhao Dong, Sijing Duan, Feng Lyu, Peng Zhao, Yongmin Zhang, Ju Ren, Yaoxue Zhang

IEEE Internet Things J., May, 2025

Demo: UAV Trajectory Generation from Sparse and Noisy 3D Point Clouds.

Lijuan He, Feng Lyu, Mingliu Liu, Hao Wu, Sijing Duan, Jieyu Zhou, Yi Ding, Zaixun Ling, Yibo Cui

Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

Auto-UIT: Automating UAV Inspection Trajectory by Recognizing Pylon Structure from 3D Point Cloud.

Feng Lyu, Lijuan He, Mingliu Liu, Sijing Duan, Hao Wu, Jieyu Zhou, Yi Ding, Zaixun Ling, Yibo Cui

Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

Fraudulent Delivery Detection with Multimodal Courier Behavior Data in Last-Mile Delivery.

Shanshan Wang, Sijing Duan, Shuxin Zhong, Zhiqing Hong, Zhiyuan Zhou, Hongyu Lin, Weijian Zuo, Desheng Zhang, Yi Ding

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

MOTO: Mobility-Aware Online Task Offloading With Adaptive Load Balancing in Small-Cell MEC.

Sijing Duan, Feng Lyu, Huaqing Wu, Wenxiong Chen, Huali Lu, Zhe Dong, Xuemin Shen

IEEE Trans. Mob. Comput., January, 2024

Flexible and Effective Cellular Traffic Data Synthesis with Large Language Model.

Sijing Duan, Feng Lyu, Jinfeng Cen, Ju Ren, Peng Yang, Yaoxue Zhang

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

VeLP: Vehicle Loading Plan Learning from Human Behavior in Nationwide Logistics System.

Sijing Duan, Feng Lyu, Xin Zhu, Yi Ding, Haotian Wang, Desheng Zhang, Xue Liu, Yaoxue Zhang, Ju Ren

Proc. VLDB Endow., 2023

Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey.

Sijing Duan, Dan Wang, Ju Ren, Feng Lyu, Ye Zhang, Huaqing Wu, Xuemin Shen

IEEE Commun. Surv. Tutorials, 2023

Dynamic RRH-BBU Mapping for C-RAN: A Data-Driven Approach.

Shanshan Wang, Fan Wu, Jie Gao, Sijing Duan, Feng Lyu, Huaqing Wu, Yaoxue Zhang, Xuemin Sherman Shen

Proceedings of the IEEE Global Communications Conference, 2023

2022

Multitype Highway Mobility Analytics for Efficient Learning Model Design: A Case of Station Traffic Prediction.

Sijing Duan, Feng Lyu, Ju Ren, Yifeng Wang, Peng Yang, Desheng Zhang, Yaoxue Zhang

IEEE Trans. Intell. Transp. Syst., 2022

Deep action: A mobile action recognition framework using edge offloading.

Deyu Zhang, Heguo Zhang, Sijing Duan, Yunzhen Luo, Fucheng Jia, Feng Liu

Peer-to-Peer Netw. Appl., 2022

Dynamic Pricing Scheme for Edge Computing Services: A Two-layer Reinforcement Learning Approach.

Feng Lyu, Xinyao Cai, Fan Wu, Huali Lu, Sijing Duan, Ju Ren

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Mobility-Aware Computation Offloading with Adaptive Load Balancing in Small-Cell MEC.

Feng Lyu, Zhe Dong, Huaqing Wu, Sijing Duan, Fan Wu, Yaoxue Zhang, Xuemin Sherman Shen

Proceedings of the IEEE International Conference on Communications, 2022

2021

Optimizing Federated Learning on Device Heterogeneity with A Sampling Strategy.

Xiaohui Xu, Sijing Duan, Jinrui Zhang, Yunzhen Luo, Deyu Zhang

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

2020

JointRec: A Deep-Learning-Based Joint Cloud Video Recommendation Framework for Mobile IoT.

Sijing Duan, Deyu Zhang, Yanbo Wang, Lingxiang Li, Yaoxue Zhang

IEEE Internet Things J., 2020

2018

Resource Allocation for Green Cloud Radio Access Networks With Hybrid Energy Supplies.

Deyu Zhang, Zhigang Chen, Lin X. Cai, Haibo Zhou, Sijing Duan, Ju Ren, Xuemin Shen, Yaoxue Zhang

IEEE Trans. Veh. Technol., 2018

Resource allocation for hybrid energy powered cloud radio access network with battery leakage.

Sijing Duan, Deyu Zhang, Ju Ren, Yaoxue Zhang

IET Commun., 2018

Resource allocation optimisation for delay-sensitive traffic in energy harvesting cloud radio access network.

Sijing Duan, Zhigang Chen, Deyu Zhang

IET Commun., 2018

2017

Near Optimal Online Resource Allocation Scheme for Energy Harvesting Cloud Radio Access Network with Battery Imperfections.

Sijing Duan, Zhigang Chen, Deyu Zhang

Proceedings of the Theoretical Computer Science - 35th National Conference, 2017