Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey. - Bin Qian 002; Jie Su 001; Zhenyu Wen; Devki Nandan Jha; Yinhao Li; Yu Guan; Deepak Puthal; Philip James 002; Renyu Yang; Albert Y. Zomaya; Omer F. Rana; Lizhe Wang 001; et al. (CoRR, 2019)

Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey. - Bin Qian 002; Jie Su 001; Zhenyu Wen; Devki Nandan Jha; Yinhao Li; Yu Guan; Deepak Puthal; Philip James 002; Renyu Yang; Albert Y. Zomaya; Omer F. Rana; Lizhe Wang 001; et al. (ACM Comput. Surv., 2021)

Blockchain-Based Task Offloading in Drone-Aided Mobile Edge Computing. - Shuyun Luo; Hang Li; Zhenyu Wen; Bin Qian 002; Graham Morgan; Antonella Longo; Omer F. Rana; Rajiv Ranjan 001 (IEEE Netw., 2021)

Orchestrating Networked Machine Learning Applications Using Autosteer. - Zhenyu Wen; Haozhen Hu; Renyu Yang; Bin Qian 002; Ringo W. H. Sham; Rui Sun; Jie Xu 007; Pankesh Patel; Omer F. Rana; Schahram Dustdar; Rajiv Ranjan 001 (IEEE Internet Comput., 2022)

FedMSA: A Model Selection and Adaptation System for Federated Learning. - Rui Sun; Yinhao Li; Tejal Shah; Ringo W. H. Sham; Tomasz Szydlo; Bin Qian 002; Dhaval Thakker; Rajiv Ranjan 001 (Sensors, 2022)

Multi-scale Features Fusion for the Detection of Tiny Bleeding in Wireless Capsule Endoscopy Images. - Feng Lu 003; Wei Li 058; Song Lin; Chengwangli Peng; Zhiyong Wang 001; Bin Qian 002; Rajiv Ranjan 001; Hai Jin 001; Albert Y. Zomaya (ACM Trans. Internet Things, 2022)

Explainable AI (XAI): Core Ideas, Techniques, and Solutions. - Rudresh Dwivedi; Devam Dave; Het Naik; Smiti Singhal; Omer F. Rana; Pankesh Patel; Bin Qian 002; Zhenyu Wen; Tejal Shah; Graham Morgan; Rajiv Ranjan 001 (ACM Comput. Surv., 2023)

Janus: Latency-Aware Traffic Scheduling for IoT Data Streaming in Edge Environments. - Zhenyu Wen; Renyu Yang; Bin Qian 002; Yubo Xuan; Lingling Lu; Zheng Wang 001; Hao Peng 001; Jie Xu 007; Albert Y. Zomaya; Rajiv Ranjan 001 (IEEE Trans. Serv. Comput., 2023)

OsmoticGate: Adaptive Edge-Based Real-Time Video Analytics for the Internet of Things. - Bin Qian 002; Zhenyu Wen; Junqi Tang; Ye Yuan 001; Albert Y. Zomaya; Rajiv Ranjan 001 (IEEE Trans. Computers, 2023)

Across Images and Graphs for Question Answering. - Zhenyu Wen; Jiaxu Qian; Bin Qian 002; Qin Yuan; Jianbin Qin; Qi Xuan; Ye Yuan 001 (ICDE, 2024)

FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning. - Zhenyu Wen; Wanglei Feng; Di Wu 065; Haozhen Hu; Chang Xu; Bin Qian 002; Zhen Hong; Cong Wang 006; Shouling Ji (KDD (1), 2025)

Eros: Real-Time Dense Mapping Made Easy on Mobile Devices. - Yubin Dai; Bin Qian 002; Yangkun Liu; Yuxuan Yan; Yuanchao Shu (HotMobile, 2025)

Edge-Cloud Collaborative Streaming Video Analytics With Multi-Agent Deep Reinforcement Learning. - Bin Qian 002; Yubo Xuan; Di Wu 065; Zhenyu Wen; Renyu Yang; Shibo He; Jiming Chen 001; Rajiv Ranjan 001 (IEEE Netw., 2025)

EMO: Edge Model Overlays to Scale Model Size in Federated Learning. - Di Wu 065; Weibo He; Wanglei Feng; Zhenyu Wen; Bin Qian 002; Blesson Varghese (CoRR, 2025)

A Review on Edge Large Language Models: Design, Execution, and Applications. - Yue Zheng; Yuhao Chen 005; Bin Qian 002; Xiufang Shi; Yuanchao Shu; Jiming Chen 001 (ACM Comput. Surv., 2025)