Self-adaptive implicit contention window adjustment mechanism for QoS optimization in wireless sensor networks. - Yuan Rao 003; Cheng Deng; Gang Zhao 003; Yan Qiao 001; Lei-yang Fu; Xing Shao; Ruchuan Wang 001 (J. Netw. Comput. Appl., 2018)

Crop Leaf Disease Image Super-Resolution and Identification With Dual Attention and Topology Fusion Generative Adversarial Network. - Qiang Dai; Xi Cheng; Yan Qiao 001; Youhua Zhang (IEEE Access, 2020)

Agricultural Pest Super-Resolution and Identification With Attention Enhanced Residual and Dense Fusion Generative and Adversarial Network. - Qiang Dai; Xi Cheng; Yan Qiao 001; Youhua Zhang (IEEE Access, 2020)

Robust Loss Inference in the Presence of Noisy Measurements and Hidden Fault Diagnosis. - Yan Qiao 001; Jun Jiao; Xinhong Cui; Yuan Rao 003 (IEEE/ACM Trans. Netw., 2020)

Non-Intrusive and High-Efficient Balance Tomography in the Lightning Network. - Yan Qiao 001; Kui Wu 001; Majid Khabbazian (AsiaCCS, 2021)

Efficient Anomaly Detection for High-Dimensional Sensing Data With One-Class Support Vector Machine. - Yan Qiao 001; Kui Wu 001; Peng Jin (IEEE Trans. Knowl. Data Eng., 2023)

Routing-Oblivious Network Tomography with Flow-Based Generative Model. - Yan Qiao 001; Xinyu Yuan; Kui Wu 001 (INFOCOM, 2024)

Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth. - Xinyu Yuan; Yan Qiao 001; Meng Li 018; Zhenchun Wei; Cuiying Feng (CoRR, 2024)

DUDS: Diversity-aware unbiased device selection for federated learning on Non-IID and unbalanced data. - Xinlei Yu; Zhipeng Gao 001; Chen Zhao 015; Yan Qiao 001; Ze Chai; Zijia Mo; Yang Yang 006 (J. Syst. Archit., 2024)

A novel reinforcement learning based Heap-based optimizer. - Xuesen Ma; Zhineng Zhong; Yangyu Li; Dacheng Li; Yan Qiao 001 (Knowl. Based Syst., 2024)

Non-intrusive Balance Tomography Using Reinforcement Learning in the Lightning Network. - Yan Qiao 001; Kui Wu 001; Majid Khabbazian (ACM Trans. Priv. Secur., 2024)

Throughput Maximization for Result Multicasting by Admitting Delay-Aware Tasks in MEC Networks for High-Speed Railways. - Junyi Xu; Zhenchun Wei; Xiaohui Yuan 001; Yan Qiao 001; Zengwei Lyu; Jianghong Han (IEEE Trans. Veh. Technol., 2024)

Multi-Step Regression Network With Attention Fusion for Airport Delay Prediction. - Zhenchun Wei; Siwei Zhu; Zengwei Lyu; Yan Qiao 001; Xiaohui Yuan 001; Yang Zhao; Hao Zhang (IEEE Trans. Intell. Transp. Syst., 2024)

AutoTomo: Learning-Based Traffic Estimator Incorporating Network Tomography. - Yan Qiao 001; Kui Wu 001; Xinyu Yuan (IEEE/ACM Trans. Netw., 2024)

Dual Trajectory Revised Diffusion Model for Time Series Forecasting. - Zilong Hu; Yan Qiao 001; Zidang Cai; Rongyao Hu; Junjie Wang; Meng Li 018; Zhenchun Wei (ICASSP, 2025)

Collaborative Edge Caching Approach Based on Multi-agent Graph Attention Reinforcement Learning in Unreliable Networks. - Zhenchun Wei; Guanquan Yu; Zengwei Lyu; Chenwei Zhu; Yan Qiao 001; Xiaohui Yuan 001; Lin Feng 004 (ICIC (12), 2025)

Artemis: Decentralized, Secure, and Efficient Safety Monitoring with Dynamic Trajectories. - Meng Li 006; Zhuangwei Li; Yifei Chen 005; Yan Qiao 001; Mauro Conti (ICICS (1), 2025)

Network Traffic Matrix Imputation via Large Language Models. - Kaiwen Jiang; Fenglin Yan; Yan Qiao 001; Meng Li 006; Yuxuan Li; Mauro Conti (ISCC, 2025)

3DDPS: A traffic matrix estimation method based on three-dimensional diffusion posterior sampling. - Minyue Li; Yan Qiao 001; Rongyao Hu; Pei Zhao; Junjie Wang; Zhenchun Wei; Xuesen Ma; Wenjing Li 001 (Comput. Networks, 2025)

Multivariate Time Series forecasting based on temporal decomposition and graph neural network. - Yan Qiao 001; Pei Zhao; Junjie Wang; Rongyao Hu; Minyue Li; Xinyu Yuan; Meng Li 006; Zhenchun Wei; Cuiying Feng (Eng. Appl. Artif. Intell., 2025)

Trust in a Decentralized World: Data Governance From Faithful, Private, Verifiable, and Traceable Data Feeds. - Meng Li 006; Yifei Chen 005; Yan Qiao 001; Guixin Ye; Zijian Zhang 001; Liehuang Zhu; Mauro Conti (IEEE Trans. Inf. Forensics Secur., 2025)

Threshold Signatures With Verifiably Timed Combining and Message-Dependent Tracing. - Meng Li 006; Hanni Ding; Yifei Chen 005; Yan Qiao 001; Zijian Zhang 001; Liehuang Zhu; Mauro Conti (IEEE Trans. Inf. Forensics Secur., 2025)

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis With Diffusion-Based Approach. - Xinyu Yuan; Yan Qiao 001; Zhenchun Wei; Zeyu Zhang; Minyue Li; Pei Zhao; Rongyao Hu; Wenjing Li 001 (IEEE Trans. Netw. Serv. Manag., 2025)

C2FFormer: Coarse-to-Fine Time Series Imputation via Autoregressive Transformer. - Yan Qiao 001; Jiangqi Song; Jiaxuan Dong; Anchi Zhang; Zilong Hu; Meng Li 006 (PAKDD (3), 2026)

Routing-Oblivious and Data-Efficient Network Tomography With Flow-Based Generative Model. - Yan Qiao 001; Minyue Li; Xinyu Yuan; Kui Wu 001; Cuiying Feng; Meng Li 006; Kun Xie 001 (IEEE Trans. Netw., 2026)

FedSD: A Communication-Efficient Federated Learning Method With Scaled Stochastic Quantization and Dynamic Caching Mechanism. - Xinlei Yu; Zhipeng Gao 001; Chen Zhao 015; Yan Qiao 001; Yijing Lin; Zijia Mo; Yang Yang 006 (IEEE Trans. Emerg. Top. Comput. Intell., 2026)

Secure Multi-Character Searchable Encryption Supporting Rich Search Functionalities. - Qing Wang 060; Donghui Hu; Meng Li 006; Yan Qiao 001; Guomin Yang; Mauro Conti (IEEE Trans. Knowl. Data Eng., 2026)

Learning-Based Sketches for Frequency Estimation in Data Streams Without Ground Truth. - Xinyu Yuan; Yan Qiao 001; Meng Li 006; Zhenchun Wei; Cuiying Feng; Zonghui Wang; Wenzhi Chen (IEEE Trans. Knowl. Data Eng., 2026)