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2020 – today
- 2025
[j13]Yi Liu
, Song Guo, Jie Zhang, Zicong Hong, Yufeng Zhan, Qihua Zhou:
Collaborative Neural Architecture Search for Personalized Federated Learning. IEEE Trans. Computers 74(1): 250-262 (2025)- [j12]Jie Zhang, Song Guo, Xiaosong Ma, Wenchao Xu, Qihua Zhou, Jingcai Guo, Zicong Hong, Jun Shan:
Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning. IEEE Trans. Mob. Comput. 24(1): 379-393 (2025) - 2024
- [j11]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): 3938-3954 (2024) - [j10]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): 2382-2394 (2024) - [j9]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): 8508-8524 (2024) - [c15]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: 17123-17131 - [c14]Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo:
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. IJCAI 2024: 4062-4070 - [c13]Ruibin Li, Jingcai Guo, Qihua Zhou, Song Guo:
FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. ACM Multimedia 2024: 7464-7473 - [i8]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 abs/2404.09245 (2024) - [i7]Xuan Liu, Siqi Cai, Qihua Zhou, Song Guo, Ruibin Li, Kaiwei Lin:
Gradient Diffusion: A Perturbation-Resilient Gradient Leakage Attack. CoRR abs/2407.05285 (2024) - 2023
- [c12]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: 3787-3795 - [c11]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: 7775-7783 - [c10]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: 960-965 - [i6]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 abs/2306.00714 (2023) - [i5]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 abs/2311.14750 (2023) - [i4]Ruibin Li, Jingcai Guo, Song Guo, Qihua Zhou, Jie Zhang:
FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. CoRR abs/2311.14926 (2023) - [i3]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 abs/2312.09709 (2023) - 2022
- [j8]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): 939-963 (2022) - [c9]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: 330-342 - [c8]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 - [i2]Yi Liu, Song Guo, Jie Zhang, Qihua Zhou, Yingchun Wang, Xiaohan Zhao:
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning. CoRR abs/2211.07364 (2022) - [i1]Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu:
CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming. CoRR abs/2211.08428 (2022) - 2021
- [j7]Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun, Kun Wang:
A Comprehensive Inspection of the Straggler Problem. Computer 54(10): 4-5 (2021) - [j6]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): 11916-11934 (2021) - [j5]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): 139-155 (2021) - [j4]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): 900-917 (2021) - [j3]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): 1030-1043 (2021) - [c7]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 ATC 2021: 177-191 - 2020
- [c6]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: 1183-1184 - [c5]Qiang Mai, Honglin Zhan, Qihua Zhou:
Design of A Wireless Conference System Based on LED Visible Light Communication. ICKII 2020: 310-312 - [c4]Jingcai Guo, Shiheng Ma, Jie Zhang, Qihua Zhou, Song Guo:
Dual-view Attention Networks for Single Image Super-Resolution. ACM Multimedia 2020: 2728-2736
2010 – 2019
- 2019
- [j2]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): 1755-1771 (2019) - [c3]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: 196-206 - 2018
- [j1]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): 3560-3580 (2018) - [c2]Qihua Zhou, Peng Li, Kun Wang, Deze Zeng, Song Guo, Minyi Guo:
Swallow: Joint Online Scheduling and Coflow Compression in Datacenter Networks. IPDPS 2018: 505-514 - 2017
- [c1]Qihua Zhou, Weifeng Lu, Siguang Chen, Lijun Yang, Kun Wang:
Promoting Security and Efficiency in D2D Underlay Communication: A Bargaining Game Approach. GLOBECOM 2017: 1-6
Coauthor Index
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