Bin Qian

21 papers A* 2A 1Misc 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
FIRM-MoE: Fine-GrainedExpert Decomposition for Resource-Adaptive MoE Inference.
AAAI
Keyu Chen, Qihang Zhou, Bin Qian, Zhenyu Wen, Wenchao Meng, Shibo He
2025 J jnl
A Review on Edge Large Language Models: Design, Execution, and Applications.
ACM Comput. Surv.
Yue Zheng, Yuhao Chen, Bin Qian, Xiufang Shi, Yuanchao Shu, Jiming Chen
2025 J jnl
DeepCon: Improving Distributed Deep Learning Model Consistency in Edge-Cloud Environments via Distillation.
IEEE Trans. Cogn. Commun. Netw.
Bin Qian, Jiaxu Qian, Zhenyu Wen, Di Wu, Shibo He, Jiming Chen, Rajiv Ranjan
2025 A conf
EAR-Mapping: Edge-Assisted Real-Time Dense Mapping with Low Bandwidth Requirements.
MobiSys
Yubin Dai, Bin Qian, Yuxuan Yan, Minglei Zhao, Yangkun Liu, Yuanchao Shu
2025 J jnl
EMO: Edge Model Overlays to Scale Model Size in Federated Learning.
CoRR
Di Wu, Weibo He, Wanglei Feng, Zhenyu Wen, Bin Qian, Blesson Varghese
2025 J jnl
Edge-Cloud Collaborative Streaming Video Analytics With Multi-Agent Deep Reinforcement Learning.
IEEE Netw.
Bin Qian, Yubo Xuan, Di Wu, Zhenyu Wen, Renyu Yang, Shibo He, Jiming Chen, Rajiv Ranjan
2025 Misc conf
Eros: Real-Time Dense Mapping Made Easy on Mobile Devices.
HotMobile
Yubin Dai, Bin Qian, Yangkun Liu, Yuxuan Yan, Yuanchao Shu
2025 — conf
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning.
KDD (1)
Zhenyu Wen, Wanglei Feng, Di Wu, Haozhen Hu, Chang Xu, Bin Qian, Zhen Hong, Cong Wang, Shouling Ji
2025 J jnl
Reverse Thinking Enhances Missing Information Detection in Large Language Models.
CoRR
Yuxin Liu, Chaojie Gu, Yihang Zhang, Bin Qian, Shibo He
2024 J jnl
A Review on Edge Large Language Models: Design, Execution, and Applications.
CoRR
Yue Zheng, Yuhao Chen, Bin Qian, Xiufang Shi, Yuanchao Shu, Jiming Chen
2024 A* conf
Across Images and Graphs for Question Answering.
ICDE
Zhenyu Wen, Jiaxu Qian, Bin Qian, Qin Yuan, Jianbin Qin, Qi Xuan, Ye Yuan
2024 J jnl
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning.
CoRR
Zhenyu Wen, Wanglei Feng, Di Wu, Haozhen Hu, Chang Xu, Bin Qian, Zhen Hong, Cong Wang, Shouling Ji
2023 J jnl
Explainable AI (XAI): Core Ideas, Techniques, and Solutions.
ACM Comput. Surv.
Rudresh Dwivedi, Devam Dave, Het Naik, Smiti Singhal, Omer F. Rana, Pankesh Patel, Bin Qian, Zhenyu Wen, Tejal Shah, Graham Morgan, Rajiv Ranjan
2023 J jnl
Janus: Latency-Aware Traffic Scheduling for IoT Data Streaming in Edge Environments.
IEEE Trans. Serv. Comput.
Zhenyu Wen, Renyu Yang, Bin Qian, Yubo Xuan, Lingling Lu, Zheng Wang, Hao Peng, Jie Xu, Albert Y. Zomaya, Rajiv Ranjan
2023 J jnl
OsmoticGate: Adaptive Edge-Based Real-Time Video Analytics for the Internet of Things.
IEEE Trans. Computers
Bin Qian, Zhenyu Wen, Junqi Tang, Ye Yuan, Albert Y. Zomaya, Rajiv Ranjan
2022 J jnl
FedMSA: A Model Selection and Adaptation System for Federated Learning.
Sensors
Rui Sun, Yinhao Li, Tejal Shah, Ringo W. H. Sham, Tomasz Szydlo, Bin Qian, Dhaval Thakker, Rajiv Ranjan
2022 J jnl
Multi-scale Features Fusion for the Detection of Tiny Bleeding in Wireless Capsule Endoscopy Images.
ACM Trans. Internet Things
Feng Lu, Wei Li, Song Lin, Chengwangli Peng, Zhiyong Wang, Bin Qian, Rajiv Ranjan, Hai Jin, Albert Y. Zomaya
2022 J jnl
Orchestrating Networked Machine Learning Applications Using Autosteer.
IEEE Internet Comput.
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
2021 J jnl
Blockchain-Based Task Offloading in Drone-Aided Mobile Edge Computing.
IEEE Netw.
Shuyun Luo, Hang Li, Zhenyu Wen, Bin Qian, Graham Morgan, Antonella Longo, Omer F. Rana, Rajiv Ranjan
2021 J jnl
Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey.
ACM Comput. Surv.
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
2019 J jnl
Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey.
CoRR
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