Qihua Zhou

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Machine Learning Models

Video Analytics

Top Venues

IEEE Trans. Computers

Publications

Haosong Peng, Wei Feng, Hao Li, Yufeng Zhan, Qihua Zhou, Yuanqing Xia
Arena: A Patch-of-Interest ViT Inference Acceleration System for Edge-Assisted Video Analytics. CoRR (2024)
Tao Guo, Song Guo, Feijie Wu, Wenchao Xu, Jiewei Zhang, Qihua Zhou, Quan Chen, Weihua Zhuang
Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration. IEEE Trans. Mob. Comput. 23 (3) (2024)
Yi Liu, Song Guo, Yufeng Zhan, Leijie Wu, Zicong Hong, Qihua Zhou
Chiron: A Robustness-Aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning. IEEE Trans. Mob. Comput. 23 (8) (2024)
Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Jingcai Guo, Zhenda Xu, Jingren Zhou
PASS: Patch Automatic Skip Scheme for Efficient On-Device Video Perception. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks. AAAI (2024)
Xuan Liu, Siqi Cai, Qihua Zhou, Song Guo, Ruibin Li, Kaiwei Lin
Gradient Diffusion: A Perturbation-Resilient Gradient Leakage Attack. CoRR (2024)
Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models. CoRR (2023)
Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo
Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning. CoRR (2023)
Zhenda Xu, Jiahao Hu, Qiang Gao, Donghua Hang, Qihua Zhou, Song Guo, Aiqian Gan
Development of Deep Learning Algorithms for Automated Scoliosis and Abnormal Posture Screening Using 2D Back Image. ICME (2023)
Ruibin Li, Jingcai Guo, Song Guo, Qihua Zhou, Jie Zhang
FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. CoRR (2023)
Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Zhenda Xu, Jingren Zhou
PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices. AAAI (2023)
Jingcai Guo, Qihua Zhou, Ruibing Li, Xiaocheng Lu, Ziming Liu, Junyang Chen, Xin Xie, Jie Zhang
ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. CoRR (2023)
Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. AAAI (2023)
Yi Liu, Song Guo, Jie Zhang, Qihua Zhou, Yingchun Wang, Xiaohan Zhao
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning. CoRR (2022)
Zhenda Xu, Jiazi Ouyang, Qiang Gao, Aiqian Gan, Qihua Zhou, Jiahao Hu, Song Guo
2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning. ISBRA (2022)
Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning. NeurIPS (2022)
Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu
CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming. CoRR (2022)
Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li
A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT. IEEE Internet Things J. 9 (2) (2022)
Qihua Zhou, Zhihao Qu, Song Guo, Boyuan Luo, Jingcai Guo, Zhenda Xu, Rajendra Akerkar
On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective. IEEE Internet Things J. 8 (15) (2021)
Qihua Zhou, Kun Wang, Haodong Lu, Wenyao Xu, Yanfei Sun, Song Guo
Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks. IEEE Trans. Parallel Distributed Syst. 32 (4) (2021)
Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun, Kun Wang
A Comprehensive Inspection of the Straggler Problem. Computer 54 (10) (2021)
Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun, Kun Wang
Falcon: Addressing Stragglers in Heterogeneous Parameter Server Via Multiple Parallelism. IEEE Trans. Computers 70 (1) (2021)
Qihua Zhou, Song Guo, Zhihao Qu, Peng Li, Li Li, Minyi Guo, Kun Wang
Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization. IEEE Trans. Parallel Distributed Syst. 32 (5) (2021)
Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou
Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. USENIX Annual Technical Conference (2021)
Jingcai Guo, Shiheng Ma, Jie Zhang, Qihua Zhou, Song Guo
Dual-view Attention Networks for Single Image Super-Resolution. ACM Multimedia (2020)
Qihua Zhou, Song Guo, Peng Li, Yanfei Sun, Li Li, Minyi Guo, Kun Wang
Petrel: Community-aware Synchronous Parallel for Heterogeneous Parameter Server. ICDCS (2020)
Qiang Mai, Honglin Zhan, Qihua Zhou
Design of A Wireless Conference System Based on LED Visible Light Communication. ICKII (2020)
Qihua Zhou, Kun Wang, Peng Li, Deze Zeng, Song Guo, Baoliu Ye, Minyi Guo
Fast Coflow Scheduling via Traffic Compression and Stage Pipelining in Datacenter Networks. IEEE Trans. Computers 68 (12) (2019)
Qihua Zhou, Kun Wang, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun
Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server. ICDCS (2019)
Qihua Zhou, Peng Li, Kun Wang, Deze Zeng, Song Guo, Minyi Guo
Swallow: Joint Online Scheduling and Coflow Compression in Datacenter Networks. IPDPS (2018)
Kun Wang, Qihua Zhou, Song Guo, Jiangtao Luo
Cluster Frameworks for Efficient Scheduling and Resource Allocation in Data Center Networks: A Survey. IEEE Commun. Surv. Tutorials 20 (4) (2018)
Qihua Zhou, Weifeng Lu, Siguang Chen, Lijun Yang, Kun Wang
Promoting Security and Efficiency in D2D Underlay Communication: A Bargaining Game Approach. GLOBECOM (2017)