Qihua Zhou

According to our database, Qihua Zhou authored at least 29 papers between 2017 and 2024.

Collaborative distances:

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

2024

PASS: Patch Automatic Skip Scheme for Efficient On-Device Video Perception.

Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Jingcai Guo, Zhenda Xu, Jingren Zhou

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration.

Tao Guo, Song Guo, Feijie Wu, Wenchao Xu, Jiewei Zhang, Qihua Zhou, Quan Chen, Weihua Zhuang

IEEE Trans. Mob. Comput., March, 2024

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks.

Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu

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.

Jingcai Guo, Qihua Zhou, Ruibing Li, Xiaocheng Lu, Ziming Liu, Junyang Chen, Xin Xie, Jie Zhang

CoRR, 2023

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

Ruibin Li, Jingcai Guo, Song Guo, Qihua Zhou, Jie Zhang

CoRR, 2023

Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning.

Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo

CoRR, 2023

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

Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han

CoRR, 2023

Development of Deep Learning Algorithms for Automated Scoliosis and Abnormal Posture Screening Using 2D Back Image.

Zhenda Xu, Jiahao Hu, Qiang Gao, Donghua Hang, Qihua Zhou, Song Guo, Aiqian Gan

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.

Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Zhenda Xu, Jingren Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition.

Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo

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.

Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li

IEEE Internet Things J., 2022

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

Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu

CoRR, 2022

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

Yi Liu, Song Guo, Jie Zhang, Qihua Zhou, Yingchun Wang, Xiaohan Zhao

CoRR, 2022

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning.

Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu

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.

Zhenda Xu, Jiazi Ouyang, Qiang Gao, Aiqian Gan, Qihua Zhou, Jiahao Hu, Song Guo

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.

Qihua Zhou, Kun Wang, Haodong Lu, Wenyao Xu, Yanfei Sun, Song Guo

IEEE Trans. Parallel Distributed Syst., 2021

Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization.

Qihua Zhou, Song Guo, Zhihao Qu, Peng Li, Li Li, Minyi Guo, Kun Wang

IEEE Trans. Parallel Distributed Syst., 2021

Falcon: Addressing Stragglers in Heterogeneous Parameter Server Via Multiple Parallelism.

Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun, Kun Wang

IEEE Trans. Computers, 2021

On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective.

Qihua Zhou, Zhihao Qu, Song Guo, Boyuan Luo, Jingcai Guo, Zhenda Xu, Rajendra Akerkar

IEEE Internet Things J., 2021

A Comprehensive Inspection of the Straggler Problem.

Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun, Kun Wang

Computer, 2021

Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning.

Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

2020

Dual-view Attention Networks for Single Image Super-Resolution.

Jingcai Guo, Shiheng Ma, Jie Zhang, Qihua Zhou, Song Guo

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.

Qiang Mai, Honglin Zhan, Qihua Zhou

Proceedings of the 3rd IEEE International Conference on Knowledge Innovation and Invention, 2020

Petrel: Community-aware Synchronous Parallel for Heterogeneous Parameter Server.

Qihua Zhou, Song Guo, Peng Li, Yanfei Sun, Li Li, Minyi Guo, Kun Wang

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.

Qihua Zhou, Kun Wang, Peng Li, Deze Zeng, Song Guo, Baoliu Ye, Minyi Guo

IEEE Trans. Computers, 2019

Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server.

Qihua Zhou, Kun Wang, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun

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.

Kun Wang, Qihua Zhou, Song Guo, Jiangtao Luo

IEEE Commun. Surv. Tutorials, 2018

Swallow: Joint Online Scheduling and Coflow Compression in Datacenter Networks.

Qihua Zhou, Peng Li, Kun Wang, Deze Zeng, Song Guo, Minyi Guo

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.

Qihua Zhou, Weifeng Lu, Siguang Chen, Lijun Yang, Kun Wang

Proceedings of the 2017 IEEE Global Communications Conference, 2017