Qihua Zhou - RankMe

46 papers A* 11A 4B 1Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DeNC++: Efficient Diffusion-Enhanced Neural Codec for End-to-end Semantic Streaming at the Edge. AAAI Qihua Zhou, Wangjiang Gong, Zili Meng, Yaxiong Xie, Yaodong Huang, Junchen Jiang, Laizhong Cui
2025	J	`jnl`	Collaborative Neural Architecture Search for Personalized Federated Learning. IEEE Trans. Computers Yi Liu, Song Guo, Jie Zhang, Zicong Hong, Yufeng Zhan, Qihua Zhou
2025	J	`jnl`	D CoRR Haodong Wang, Qihua Zhou, Zicong Hong, Song Guo
2025	A*	`conf`	D2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving. MobiCom Haodong Wang, Qihua Zhou, Zicong Hong, Song Guo
2025	A*	`conf`	DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement. AAAI Qihua Zhou, Ruibin Li, Jingcai Guo, Yaodong Huang, Zhenda Xu, Laizhong Cui, Song Guo
2025	J	`jnl`	Feature Correlation-Guided Knowledge Transfer for Federated Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. Yi Liu, Song Guo, Jie Zhang, Yufeng Zhan, Qihua Zhou, Yingchun Wang
2025	A*	`conf`	Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion. AAAI Xuan Liu, Siqi Cai, Qihua Zhou, Song Guo, Ruibin Li, Kaiwei Lin
2025	J	`jnl`	Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning. IEEE Trans. Mob. Comput. Jie Zhang, Song Guo, Xiaosong Ma, Wenchao Xu, Qihua Zhou, Jingcai Guo, Zicong Hong, Jun Shan
2025	J	`jnl`	Prompt-Ladder: Memory-efficient prompt tuning for vision-language models on edge devices. Pattern Recognit. Siqi Cai, Xuan Liu, Jingling Yuan, Qihua Zhou
2025	J	`jnl`	SMTrack: End-to-End Trained Spiking Neural Networks for Multi-Object Tracking in RGB Videos. CoRR Pengzhi Zhong, Xinzhe Wang, Dan Zeng, Qihua Zhou, Feixiang He, Shuiwang Li
2025	J	`jnl`	The MoE-Empowered Edge LLMS Deployment: Architecture, Challenges, and Opportunities. IEEE Commun. Mag. Ning Li, Song Guo, Tuo Zhang, Muqing Li, Zicong Hong, Qihua Zhou, Xin Yuan, Haijun Zhang
2025	J	`jnl`	The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities. CoRR Ning Li, Song Guo, Tuo Zhang, Muqing Li, Zicong Hong, Qihua Zhou, Xin Yuan, Haijun Zhang
2024	J	`jnl`	Arena: A Patch-of-Interest ViT Inference Acceleration System for Edge-Assisted Video Analytics. CoRR Haosong Peng, Wei Feng, Hao Li, Yufeng Zhan, Qihua Zhou, Yuanqing Xia
2024	J	`jnl`	Chiron: A Robustness-Aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning. IEEE Trans. Mob. Comput. Yi Liu, Song Guo, Yufeng Zhan, Leijie Wu, Zicong Hong, Qihua Zhou
2024	A*	`conf`	FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. ACM Multimedia Ruibin Li, Jingcai Guo, Qihua Zhou, Song Guo
2024	J	`jnl`	Gradient Diffusion: A Perturbation-Resilient Gradient Leakage Attack. CoRR Xuan Liu, Siqi Cai, Qihua Zhou, Song Guo, Ruibin Li, Kaiwei Lin
2024	A*	`conf`	On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks. AAAI Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu
2024	J	`jnl`	PASS: Patch Automatic Skip Scheme for Efficient On-Device Video Perception. IEEE Trans. Pattern Anal. Mach. Intell. Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Jingcai Guo, Zhenda Xu, Jingren Zhou
2024	A*	`conf`	ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. IJCAI Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo
2024	J	`jnl`	Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration. IEEE Trans. Mob. Comput. Tao Guo, Song Guo, Feijie Wu, Wenchao Xu, Jiewei Zhang, Qihua Zhou, Quan Chen, Weihua Zhuang
2023	J	`jnl`	Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning. CoRR Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo
2023	A	`conf`	Development of Deep Learning Algorithms for Automated Scoliosis and Abnormal Posture Screening Using 2D Back Image. ICME Zhenda Xu, Jiahao Hu, Qiang Gao, Donghua Hang, Qihua Zhou, Song Guo, Aiqian Gan
2023	J	`jnl`	Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models. CoRR Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han
2023	J	`jnl`	FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. CoRR Ruibin Li, Jingcai Guo, Song Guo, Qihua Zhou, Jie Zhang
2023	A*	`conf`	Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. AAAI Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo
2023	A*	`conf`	PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices. AAAI Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Zhenda Xu, Jingren Zhou
2023	J	`jnl`	ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. CoRR Jingcai Guo, Qihua Zhou, Ruibing Li, Xiaocheng Lu, Ziming Liu, Junyang Chen, Xin Xie, Jie Zhang
2022	—	`conf`	2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning. ISBRA Zhenda Xu, Jiazi Ouyang, Qiang Gao, Aiqian Gan, Qihua Zhou, Jiahao Hu, Song Guo
2022	J	`jnl`	A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT. IEEE Internet Things J. Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li
2022	J	`jnl`	CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming. CoRR Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu
2022	J	`jnl`	Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning. CoRR Yi Liu, Song Guo, Jie Zhang, Qihua Zhou, Yingchun Wang, Xiaohan Zhao
2022	A*	`conf`	Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning. NeurIPS Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu
2021	J	`jnl`	A Comprehensive Inspection of the Straggler Problem. Computer Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun, Kun Wang
2021	J	`jnl`	Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks. IEEE Trans. Parallel Distributed Syst. Qihua Zhou, Kun Wang, Haodong Lu, Wenyao Xu, Yanfei Sun, Song Guo
2021	J	`jnl`	Falcon: Addressing Stragglers in Heterogeneous Parameter Server Via Multiple Parallelism. IEEE Trans. Computers Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun, Kun Wang
2021	—	`conf`	Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. USENIX ATC Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou
2021	J	`jnl`	On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective. IEEE Internet Things J. Qihua Zhou, Zhihao Qu, Song Guo, Boyuan Luo, Jingcai Guo, Zhenda Xu, Rajendra Akerkar
2021	J	`jnl`	Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization. IEEE Trans. Parallel Distributed Syst. Qihua Zhou, Song Guo, Zhihao Qu, Peng Li, Li Li, Minyi Guo, Kun Wang
2020	—	`conf`	Design of A Wireless Conference System Based on LED Visible Light Communication. ICKII Qiang Mai, Honglin Zhan, Qihua Zhou
2020	A*	`conf`	Dual-view Attention Networks for Single Image Super-Resolution. ACM Multimedia Jingcai Guo, Shiheng Ma, Jie Zhang, Qihua Zhou, Song Guo
2020	A	`conf`	Petrel: Community-aware Synchronous Parallel for Heterogeneous Parameter Server. ICDCS Qihua Zhou, Song Guo, Peng Li, Yanfei Sun, Li Li, Minyi Guo, Kun Wang
2019	A	`conf`	Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server. ICDCS Qihua Zhou, Kun Wang, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun
2019	J	`jnl`	Fast Coflow Scheduling via Traffic Compression and Stage Pipelining in Datacenter Networks. IEEE Trans. Computers Qihua Zhou, Kun Wang, Peng Li, Deze Zeng, Song Guo, Baoliu Ye, Minyi Guo
2018	J	`jnl`	Cluster Frameworks for Efficient Scheduling and Resource Allocation in Data Center Networks: A Survey. IEEE Commun. Surv. Tutorials Kun Wang, Qihua Zhou, Song Guo, Jiangtao Luo
2018	A	`conf`	Swallow: Joint Online Scheduling and Coflow Compression in Datacenter Networks. IPDPS Qihua Zhou, Peng Li, Kun Wang, Deze Zeng, Song Guo, Minyi Guo
2017	B	`conf`	Promoting Security and Efficiency in D2D Underlay Communication: A Bargaining Game Approach. GLOBECOM Qihua Zhou, Weifeng Lu, Siguang Chen, Lijun Yang, Kun Wang