Bin Qian

According to our database, Bin Qian authored at least 19 papers between 2019 and 2026.

Collaborative distances:

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

2026

FIRM-MoE: Fine-GrainedExpert Decomposition for Resource-Adaptive MoE Inference.

Keyu Chen, Qihang Zhou, Bin Qian, Zhenyu Wen, Wenchao Meng, Shibo He

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

DeepCon: Improving Distributed Deep Learning Model Consistency in Edge-Cloud Environments via Distillation.

Bin Qian, Jiaxu Qian, Zhenyu Wen, Di Wu, Shibo He, Jiming Chen, Rajiv Ranjan

IEEE Trans. Cogn. Commun. Netw., December, 2025

Reverse Thinking Enhances Missing Information Detection in Large Language Models.

Yuxin Liu, Chaojie Gu, Yihang Zhang, Bin Qian, Shibo He

CoRR, December, 2025

A Review on Edge Large Language Models: Design, Execution, and Applications.

Yue Zheng, Yuhao Chen, Bin Qian, Xiufang Shi, Yuanchao Shu, Jiming Chen

ACM Comput. Surv., August, 2025

EMO: Edge Model Overlays to Scale Model Size in Federated Learning.

Di Wu, Weibo He, Wanglei Feng, Zhenyu Wen, Bin Qian, Blesson Varghese

CoRR, April, 2025

Edge-Cloud Collaborative Streaming Video Analytics With Multi-Agent Deep Reinforcement Learning.

Bin Qian, Yubo Xuan, Di Wu, Zhenyu Wen, Renyu Yang, Shibo He, Jiming Chen, Rajiv Ranjan

IEEE Netw., January, 2025

Eros: Real-Time Dense Mapping Made Easy on Mobile Devices.

Yubin Dai, Bin Qian, Yangkun Liu, Yuxuan Yan, Yuanchao Shu

Proceedings of the 26th International Workshop on Mobile Computing Systems and Applications, 2025

EAR-Mapping: Edge-Assisted Real-Time Dense Mapping with Low Bandwidth Requirements.

Yubin Dai, Bin Qian, Yuxuan Yan, Minglei Zhao, Yangkun Liu, Yuanchao Shu

Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025

FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning.

Zhenyu Wen, Wanglei Feng, Di Wu, Haozhen Hu, Chang Xu, Bin Qian, Zhen Hong, Cong Wang, Shouling Ji

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Across Images and Graphs for Question Answering.

Zhenyu Wen, Jiaxu Qian, Bin Qian, Qin Yuan, Jianbin Qin, Qi Xuan, Ye Yuan

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

OsmoticGate: Adaptive Edge-Based Real-Time Video Analytics for the Internet of Things.

Bin Qian, Zhenyu Wen, Junqi Tang, Ye Yuan, Albert Y. Zomaya, Rajiv Ranjan

IEEE Trans. Computers, April, 2023

Janus: Latency-Aware Traffic Scheduling for IoT Data Streaming in Edge Environments.

Zhenyu Wen, Renyu Yang, Bin Qian, Yubo Xuan, Lingling Lu, Zheng Wang, Hao Peng, Jie Xu, Albert Y. Zomaya, Rajiv Ranjan

IEEE Trans. Serv. Comput., 2023

Explainable AI (XAI): Core Ideas, Techniques, and Solutions.

Rudresh Dwivedi, Devam Dave, Het Naik, Smiti Singhal, Omer F. Rana, Pankesh Patel, Bin Qian, Zhenyu Wen, Tejal Shah, Graham Morgan, Rajiv Ranjan

ACM Comput. Surv., 2023

2022

Multi-scale Features Fusion for the Detection of Tiny Bleeding in Wireless Capsule Endoscopy Images.

Feng Lu, Wei Li, Song Lin, Chengwangli Peng, Zhiyong Wang, Bin Qian, Rajiv Ranjan, Hai Jin, Albert Y. Zomaya

ACM Trans. Internet Things, 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, Dhaval Thakker, Rajiv Ranjan

Sensors, 2022

Orchestrating Networked Machine Learning Applications Using Autosteer.

Zhenyu Wen, Haozhen Hu, Renyu Yang, Bin Qian, Ringo W. H. Sham, Rui Sun, Jie Xu, Pankesh Patel, Omer F. Rana, Schahram Dustdar, Rajiv Ranjan

IEEE Internet Comput., 2022

2021

Blockchain-Based Task Offloading in Drone-Aided Mobile Edge Computing.

Shuyun Luo, Hang Li, Zhenyu Wen, Bin Qian, Graham Morgan, Antonella Longo, Omer F. Rana, Rajiv Ranjan

IEEE Netw., 2021

Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey.

Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer F. Rana, Lizhe Wang, Maciej Koutny, Rajiv Ranjan

ACM Comput. Surv., 2021

2019

Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey.

Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer F. Rana, Lizhe Wang, Rajiv Ranjan

CoRR, 2019