Qihua Zhou

Orcid: 0000-0003-0328-2894

According to our database1, Qihua Zhou authored at least 36 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2025
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Legend:

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Links

On csauthors.net:

Bibliography

2025
Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning.
IEEE Trans. Mob. Comput., January, 2025

Collaborative Neural Architecture Search for Personalized Federated Learning.
IEEE Trans. Computers, January, 2025

2024
Chiron: A Robustness-Aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning.
IEEE Trans. Mob. Comput., August, 2024

PASS: Patch Automatic Skip Scheme for Efficient On-Device Video Perception.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration.
IEEE Trans. Mob. Comput., March, 2024

Gradient Diffusion: A Perturbation-Resilient Gradient Leakage Attack.
CoRR, 2024

Arena: A Patch-of-Interest ViT Inference Acceleration System for Edge-Assisted Video Analytics.
CoRR, 2024

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning.
CoRR, 2023

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model.
CoRR, 2023

Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning.
CoRR, 2023

Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models.
CoRR, 2023

Development of Deep Learning Algorithms for Automated Scoliosis and Abnormal Posture Screening Using 2D Back Image.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT.
IEEE Internet Things J., 2022

CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming.
CoRR, 2022

Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning.
CoRR, 2022

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

2021
Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks.
IEEE Trans. Parallel Distributed Syst., 2021

Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization.
IEEE Trans. Parallel Distributed Syst., 2021

Falcon: Addressing Stragglers in Heterogeneous Parameter Server Via Multiple Parallelism.
IEEE Trans. Computers, 2021

On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective.
IEEE Internet Things J., 2021

A Comprehensive Inspection of the Straggler Problem.
Computer, 2021

Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning.
Proceedings of the 2021 USENIX Annual Technical Conference, 2021

2020
Dual-view Attention Networks for Single Image Super-Resolution.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Design of A Wireless Conference System Based on LED Visible Light Communication.
Proceedings of the 3rd IEEE International Conference on Knowledge Innovation and Invention, 2020

Petrel: Community-aware Synchronous Parallel for Heterogeneous Parameter Server.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019
Fast Coflow Scheduling via Traffic Compression and Stage Pipelining in Datacenter Networks.
IEEE Trans. Computers, 2019

Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018
Cluster Frameworks for Efficient Scheduling and Resource Allocation in Data Center Networks: A Survey.
IEEE Commun. Surv. Tutorials, 2018

Swallow: Joint Online Scheduling and Coflow Compression in Datacenter Networks.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017
Promoting Security and Efficiency in D2D Underlay Communication: A Bargaining Game Approach.
Proceedings of the 2017 IEEE Global Communications Conference, 2017


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