Chuntao Ding

Beijing Normal University — China

Computer Science · Physical Sciences

11h-index463citations47works0.72yr avg
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Research Topics

IoT and Edge/Fog Computing(17), Advanced Neural Network Applications(16), Face and Expression Recognition(10), Brain Tumor Detection and Classification(6), Advanced Image and Video Retrieval Techniques(5)

Publications47 total

GroupNL: Low-Resource and Robust CNN Design over Cloud and Device
IEEE Transactions on Mobile Computing·2026
NL2Filter: A Robust CNN Design for Visual Services Over Cloud and Device
IEEE Transactions on Services Computing·2026
RML: A Robust Multi-hop Localization algorithm for irregular networks
Computer Communications·2025Open Access
Resource-Aware CNN Framework for Visual Services on IoT Devices
2025
<b>Fed-OGD:</b> Mitigating Straggler Effects in Federated Learning via Orthogonal Gradient Descent
IEEE Transactions on Computers·2025· 3 cited
NDP: Network Division Positioning for Irregular Multi-Hop Networks
IEEE Transactions on Parallel and Distributed Systems·2025
NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN
IEEE Transactions on Mobile Computing·2025· 1 citedOpen Access
GroupNL: Low-Resource and Robust CNN Design over Cloud and Device
arXiv (Cornell University)·2025Open Access
Rml: A Robust Multi-Hop Localization Algorithm for Irregular Networks
SSRN Electronic Journal·2025Open Access
A Resource-Efficient Multiple Recognition Services Framework for IoT Devices
IEEE Transactions on Services Computing·2024· 1 cited
Cooperative Localization Using Expected Minimum Segment for Irregular Multi-Hop Networks
IEEE Transactions on Networking·2024
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
arXiv (Cornell University)·2024· 1 citedOpen Access
Multi-Task Learning Network Optimization Based on Weight Adaptive
2024
Multi-Vision Services Acceleration Framework for IoT Devices
2024
Representative Kernels-Based CNN for Faster Transmission in Federated Learning
IEEE Transactions on Mobile Computing·2024· 1 cited
SECaaS-Based Partially Observable Defense Model for IIoT Against Advanced Persistent Threats
IEEE Transactions on Services Computing·2024· 5 cited
ADNet: A Neural Network for Accelerometer Signals Denoising
2024
Adaptive partitioning and efficient scheduling for distributed DNN training in heterogeneous IoT environment
Computer Communications·2023· 8 cited
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services
arXiv (Cornell University)·2023Open Access
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Shangguang Wang(23), Zhichao Lu(9), Yidong Li(9), Ao Zhou(7), Jiannong Cao(7), Vishnu Naresh Boddeti(7), Xiulong Liu(5), Felix Juefei-Xu(5), Jianhang Xie(5), Li Zhang(4), Ran Cheng(4), Jinhui Yu(4), Ching‐Hsien Hsu(3), Ning Zhang(3), Xiao Ma(3), Junna Zhang(3), Xiaoyong Yan(3), Shigeng Zhang(3), Yun Yang(2), Jie Huang(2)