Promoting Security and Efficiency in D2D Underlay Communication: A Bargaining Game Approach. - Qihua Zhou; Weifeng Lu; Siguang Chen; Lijun Yang; Kun Wang 005 (GLOBECOM, 2017)

Swallow: Joint Online Scheduling and Coflow Compression in Datacenter Networks. - Qihua Zhou; Peng Li 017; Kun Wang 005; Deze Zeng; Song Guo 001; Minyi Guo (IPDPS, 2018)

Cluster Frameworks for Efficient Scheduling and Resource Allocation in Data Center Networks: A Survey. - Kun Wang 005; Qihua Zhou; Song Guo 001; Jiangtao Luo (IEEE Commun. Surv. Tutorials, 2018)

Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server. - Qihua Zhou; Kun Wang 005; Song Guo 001; Haodong Lu 001; Li Li 012; Minyi Guo; Yanfei Sun (ICDCS, 2019)

Fast Coflow Scheduling via Traffic Compression and Stage Pipelining in Datacenter Networks. - Qihua Zhou; Kun Wang 005; Peng Li 017; Deze Zeng; Song Guo 001; Baoliu Ye; Minyi Guo (IEEE Trans. Computers, 2019)

Petrel: Community-aware Synchronous Parallel for Heterogeneous Parameter Server. - Qihua Zhou; Song Guo 001; Peng Li 017; Yanfei Sun; Li Li 012; Minyi Guo; Kun Wang 005 (ICDCS, 2020)

Design of A Wireless Conference System Based on LED Visible Light Communication. - Qiang Mai; Honglin Zhan; Qihua Zhou (ICKII, 2020)

Dual-view Attention Networks for Single Image Super-Resolution. - Jingcai Guo; Shiheng Ma; Jie Zhang 076; Qihua Zhou; Song Guo 001 (ACM Multimedia, 2020)

Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. - Qihua Zhou; Song Guo 001; Zhihao Qu; Jingcai Guo; Zhenda Xu; Jiewei Zhang; Tao Guo 004; Boyuan Luo; Jingren Zhou 001 (USENIX ATC, 2021)

A Comprehensive Inspection of the Straggler Problem. - Qihua Zhou; Song Guo 001; Haodong Lu 001; Li Li 012; Minyi Guo; Yanfei Sun; Kun Wang 005 (Computer, 2021)

On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective. - Qihua Zhou; Zhihao Qu; Song Guo 001; Boyuan Luo; Jingcai Guo; Zhenda Xu; Rajendra Akerkar (IEEE Internet Things J., 2021)

Falcon: Addressing Stragglers in Heterogeneous Parameter Server Via Multiple Parallelism. - Qihua Zhou; Song Guo 001; Haodong Lu 001; Li Li 012; Minyi Guo; Yanfei Sun; Kun Wang 005 (IEEE Trans. Computers, 2021)

Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization. - Qihua Zhou; Song Guo 001; Zhihao Qu; Peng Li 017; Li Li 012; Minyi Guo; Kun Wang 005 (IEEE Trans. Parallel Distributed Syst., 2021)

Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks. - Qihua Zhou; Kun Wang 005; Haodong Lu 001; Wenyao Xu; Yanfei Sun; Song Guo 001 (IEEE Trans. Parallel Distributed Syst., 2021)

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 001 (ISBRA, 2022)

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning. - Qihua Zhou; Song Guo 001; Yi Liu 057; Jie Zhang 076; Jiewei Zhang; Tao Guo 004; Zhenda Xu; Xun Liu; Zhihao Qu (NeurIPS, 2022)

Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning. - Yi Liu 057; Song Guo 001; Jie Zhang 076; Qihua Zhou; Yingchun Wang; Xiaohan Zhao (CoRR, 2022)

CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming. - Qihua Zhou; Ruibin Li; Song Guo 001; Yi Liu 057; Jingcai Guo; Zhenda Xu (CoRR, 2022)

A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT. - Haozhao Wang; Zhihao Qu; Qihua Zhou; Haobo Zhang 002; Boyuan Luo; Wenchao Xu 001; Song Guo 001; Ruixuan Li 001 (IEEE Internet Things J., 2022)

Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. - Jingcai Guo; Song Guo 001; Qihua Zhou; Ziming Liu; Xiaocheng Lu; Fushuo Huo (AAAI, 2023)

PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices. - Qihua Zhou; Song Guo 001; Jun Pan; Jiacheng Liang; Zhenda Xu; Jingren Zhou 001 (AAAI, 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 001; Aiqian Gan (ICME, 2023)

Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models. - Ruibin Li; Qihua Zhou; Song Guo 001; Jie Zhang 076; Jingcai Guo; Xinyang Jiang; Yifei Shen; Zhenhua Han (CoRR, 2023)

Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning. - Zhijie Rao; Jingcai Guo; Xiaocheng Lu; Qihua Zhou; Jie Zhang 076; Kang Wei; Chenxin Li; Song Guo 001 (CoRR, 2023)

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. - Ruibin Li; Jingcai Guo; Song Guo 001; Qihua Zhou; Jie Zhang 076 (CoRR, 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 001; Xin Xie 001; Jie Zhang 076 (CoRR, 2023)

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks. - Qihua Zhou; Jingcai Guo; Song Guo 001; Ruibin Li; Jie Zhang 076; Bingjie Wang; Zhenda Xu (AAAI, 2024)

ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. - Jingcai Guo; Qihua Zhou; Xiaocheng Lu; Ruibin Li; Ziming Liu; Jie Zhang 076; Bo Han; Junyang Chen 001; Xin Xie 001; Song Guo 001 (IJCAI, 2024)

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. - Ruibin Li; Jingcai Guo; Qihua Zhou; Song Guo 001 (ACM Multimedia, 2024)

Arena: A Patch-of-Interest ViT Inference Acceleration System for Edge-Assisted Video Analytics. - Haosong Peng; Wei Feng; Hao Li 075; Yufeng Zhan; Qihua Zhou; Yuanqing Xia (CoRR, 2024)

Gradient Diffusion: A Perturbation-Resilient Gradient Leakage Attack. - Xuan Liu 001; Siqi Cai 001; Qihua Zhou; Song Guo 001; Ruibin Li; Kaiwei Lin (CoRR, 2024)

Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration. - Tao Guo 004; Song Guo 001; Feijie Wu; Wenchao Xu 001; Jiewei Zhang; Qihua Zhou; Quan Chen 003; Weihua Zhuang (IEEE Trans. Mob. Comput., 2024)

PASS: Patch Automatic Skip Scheme for Efficient On-Device Video Perception. - Qihua Zhou; Song Guo 001; Jun Pan; Jiacheng Liang; Jingcai Guo; Zhenda Xu; Jingren Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Chiron: A Robustness-Aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning. - Yi Liu 057; Song Guo 001; Yufeng Zhan; Leijie Wu; Zicong Hong; Qihua Zhou (IEEE Trans. Mob. Comput., 2024)

Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion. - Xuan Liu 001; Siqi Cai 001; Qihua Zhou; Song Guo 001; Ruibin Li; Kaiwei Lin (AAAI, 2025)

DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement. - Qihua Zhou; Ruibin Li; Jingcai Guo; Yaodong Huang; Zhenda Xu; Laizhong Cui; Song Guo 001 (AAAI, 2025)

Prompt-Ladder: Memory-efficient prompt tuning for vision-language models on edge devices. - Siqi Cai 001; Xuan Liu 001; Jingling Yuan; Qihua Zhou (Pattern Recognit., 2025)

Collaborative Neural Architecture Search for Personalized Federated Learning. - Yi Liu 057; Song Guo 001; Jie Zhang 076; Zicong Hong; Yufeng Zhan; Qihua Zhou (IEEE Trans. Computers, 2025)

Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning. - Jie Zhang 076; Song Guo 001; Xiaosong Ma; Wenchao Xu 001; Qihua Zhou; Jingcai Guo; Zicong Hong; Jun Shan (IEEE Trans. Mob. Comput., 2025)

The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities. - Ning Li 003; Song Guo 001; Tuo Zhang; Muqing Li; Zicong Hong; Qihua Zhou; Xin Yuan 003; Haijun Zhang 001 (CoRR, 2025)

D2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving. - Haodong Wang; Qihua Zhou; Zicong Hong; Song Guo 001 (CoRR, 2025)

Feature Correlation-Guided Knowledge Transfer for Federated Self-Supervised Learning. - Yi Liu 057; Song Guo 001; Jie Zhang 076; Yufeng Zhan; Qihua Zhou; Yingchun Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

SMTrack: End-to-End Trained Spiking Neural Networks for Multi-Object Tracking in RGB Videos. - Pengzhi Zhong; Xinzhe Wang; Dan Zeng 002; Qihua Zhou; Feixiang He; Shuiwang Li (CoRR, 2025)