Publications|PEI-Lab

On Securing Data Privacy in Federated Learning Using Noise-assisted Aggregated Multi-Key Homomorphic Encryption

Yuxiao Ma, Wei Lou, and Song Guo

IEEE International Conference on Distributed Computing Systems (ICDCS)

2025

Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition

Yang Chen, Jingcai Guo, Song Guo, and Dacheng Tao

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)

2025

RORem: Training a Robust Object Remover with Human-in-the-Loop

Ruibin Li, Tao Yang, Song Guo, and Lei Zhang

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)

2025

LANA: Lightweight AI-driven High-Fidelity Voice Services over 6G Narrowband Non-Terrestrial Networks

Shijing Yuan, Yiwne Xu, Mingyuan Liu, Gang Liu, Jie Li, Song Guo, and Peng Li

IEEE International Conference on Computer Communications (INFOCOM)

2025

Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management

Qianli Liu, Zicong Hong, Peng Li, Fahao Chen, and Song Guo

IEEE International Conference on Computer Communications (INFOCOM)

2025

System

Causally Motivated Sycophancy Mitigation for Large Language Models

Haoxi Li, Xueyang Tang, Jie Zhang, Song Guo, Sikai Bai, Peiran Dong, and Yue Yu

the 13th International Conference on Learning Representations (ICLR)

2025

Agent

Durable Quantization Conditioned Misalignment Attack on Large Language Models

Peiran Dong, Haowei Li, and Song Guo

the 13th International Conference on Learning Representations (ICLR)

2025

Security

Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View

Xuan Liu, Jie Zhang, Haoyang Shang, Song Guo, Chengxu Yang, and Quanyan Zhu

the 13th International Conference on Learning Representations (ICLR)

2025

Agent

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning

Ziming Liu, Jingcai Guo, Song Guo, and Xiaocheng Lu

the 39th Annual AAAI Conference on Artificial Intelligence (AAAI)

2025

Privacy-Aware Federated Fine-Tuning of Large Pretrained Models With Just Forward Propagation

Ke Xing, Yanjie Dong, Xiping Hu, Victor C.M. Leung, Jamal Deen, and Song Guo

IEEE International Conference on Acoustics

2025

Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion

Xuan Liu, Siqi Cai, Qihua Zhou, Song Guo, Ruibin Li, and Lin Kaiwei

the 39th Annual AAAI Conference on Artificial Intelligence (AAAI)

2025

DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement

Qihua Zhou, Ruibin Li, Jingcai Guo, Yaodong Huang, Zhenda XU, Laizhong Cui, and Song Guo

the 39th Annual AAAI Conference on Artificial Intelligence (AAAI)

2025

Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing

Peiran Dong, Bingjie Wang, Song Guo, Junxiao Wang, Jie Zhang, Zicong Hong, Xiao-Ming Wu

the 38th Annual Conference on Neural Information Processing Systems (NeurIPS)

2024

Security

Cross-modal Representation Flattening for Multi-modal Domain Generalization

Yunfeng Fan, Wenchao Xu, Haozhao Wang, and Song Guo

the 38th Annual Conference on Neural Information Processing Systems (NeurIPS)

2024

QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation

Akash Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kerrmarec, and Leijie Wu

the 25th ACM/IFIP International Middleware Conference (Middleware)

2024

SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization

Yingchun Wang, Jingcai Guo, Song Guo, Yi Liu, Jie Zhang, Weizhan Zhang

ACM International Conference on Multimedia (MM)

2024

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model

Ruibin Li, Jingcai Guo, Qihua Zhou, and Song Guo

ACM International Conference on Multimedia (MM)

2024

Detached and Interactive Multimodal Learning

Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junhong Liu, and Song Guo

ACM International Conference on Multimedia (MM)

2024

Matching Gains with Pays: Effective and Fair Learning in Multi-Agent Public Goods Dilemmas

Yitian Chen, Xuan Liu, Shigeng Zhang, Xinning Chen, and Song Guo

27th European Conference on Artificial Intelligence (ECAI)

2024

Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models

Ruibin Li, Ruihuang Li, Song Guo, and Lei Zhang

The European Conference on Computer Vision (ECCV)

2024

Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection

Yunfeng Fan, Wenchao Xu, Haozhao Wang, Fushuo Huo, Jinyu Chen, and Song Guo

The European Conference on Computer Vision (ECCV)

2024

VeriDKG: A Verifiable SPARQL Query Engine for Decentralized Knowledge Graphs

Enyuan Zhou, Song Guo, Zicong Hong, Christian S. Jensen, Yang Xiao, Dalin Zhang, Jinwen Liang, and Qingqi Pei

50th International Conference on Very Large Data Bases (VLDB)

2024

Security

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, Bo Han, Junyang Chen, Xin Xie, and Song Guo

The 33rd International Joint Conference on Artificial Intelligence (IJCAI)

2024

Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models

Jie Zhang, Xiaosong Ma, Song Guo, Peng Li, Wenchao Xu, Xueyang Tang, and Zicong Hong

41st International Conference on Machine Learning (ICML)

2024

Agent

DNN Partitioning and Assignment for Distributed Inference in SGX Empowered Edge Cloud

Yuepeng Li, Deze Zeng, Lin Gu, Song Guo, and Albert Zomaya

44th IEEE International Conference on Distributed Computing Systems (ICDCS)

2024

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization

Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, and Yue Yu

41st International Conference on Machine Learning (ICML)

2024

Agent

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring

Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, and Xiao-Ming Wu

41st International Conference on Machine Learning (ICML)

2024

Security

IRASim: Learning Interactive Real-Robot Action Simulators

Fangqi Zhu, Hongtao Wu, Song Guo, Yuxiao Liu, Chilam Cheang, and Tao Kong

RSS'24 Workshop Generative Modeling meets HRI (GenAI-HRI)

2024

C²KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation

Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, and Song Guo

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)

2024

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning

Sikai Bai, Jie Zhang, Song Guo, Shuaicheng Li, Jingcai Guo, Jun Hou, Tao Han, and Xiaocheng Lu

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)

2024

Agent

Online Data Trading for Cloud-Edge Collaboration Architecture

Shijing Yuan, Yusen Wang, Jie Li, Jiong Lou, Chentao Wu, Song Guo, and Yang Yang

IEEE International Conference on Communications (ICC)

2024

OTAS: An Elastic Transformer Serving System via Token Adaptation

Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, and Deze Zeng

IEEE International Conference on Computer Communications (INFOCOM)

2024

System

Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression

Xiaoxin Su, Yipeng Zhou, Laizhong Cui, and Song Guo

IEEE International Conference on Computer Communications (INFOCOM)

2024

Gecko: Resource-Efficient and Accurate Queries in Real-Time Video Streams at the Edge

Liang Wang, Xiaoyang Qu, Jianzong Wang, Guokuan Li, Jiguang Wan, Nan Zhang, Song Guo, and Jing Xiao

IEEE International Conference on Computer Communications (INFOCOM)

2024

DEthna: Accurate Ethereum Network Topology Discovery with Marked Transactions

Chonghe Zhao, Yipeng Zhou, Shengli Zhang, Taotao Wang, Quan Z. Sheng, and Song Guo

IEEE International Conference on Computer Communications (INFOCOM)

2024

GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning

Rui Zhang, Song Guo and Ping Li

The Web Conference (WWW)

2024

Poisoning Attack on Federated Knowledge Graph Embedding

Enyuan Zhou, Song Guo, Zhixiu Ma, Zicong Hong, Tao Guo, and Peiran Dong

The Web Conference (WWW)

2024

Security

Posterior Probability-based Label Recovery Attack in Federated Learning

Rui Zhang, Song Guo, and Ping Li

Privacy Regulation and Protection in Machine Learning Workshop at ICLR 2024

2024

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients

Xueyang Tang, Song Guo, Jie Zhang, and Jingcai Guo

the 12th International Conference on Learning Representations (ICLR)

2024

Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation

Zicong Hong, Jian Lin, Song Guo, Sifu Luo, Wuhui Chen, and Roger Wattenhofer

European Conference on Computer Systems (EuroSys)

2024

System

SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models

Xiaosong Ma, Jie Zhang, Song Guo, and Wenchao Xu

the 37th Annual Conference on Neural Information Processing Systems (NeurIPS)

2024

Agent

On the Robustness of Neural-enhanced Video Streaming Against Adversarial Attacks

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

the 38th Annual AAAI Conference on Artificial Intelligence (AAAI)

2024

ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning

Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, and Xiaocheng Lu

the 38th Annual AAAI Conference on Artificial Intelligence (AAAI)

2024

Towards Test-Time Refusals via Concept Negation

Peiran Dong, Song Guo, Junxiao Wang, Bingjie Wang, Jiewei Zhang, and Ziming Liu

the 37th Annual Conference on Neural Information Processing Systems (NeurIPS)

2023

Security

LHNet: A Low-cost Hybrid Network for Single Image Dehazing

Shenghai Yuan, Jijia Chen, Jiaqi Li, Wenchao Jiang, and Song Guo

ACM International Conference on Multimedia (MM)

2023

Low-cost Network Measurement Through Intelligent In-band Network Telemetry Orchestration

Tong Wu, Haipeng Yao, Wenji He, Zunliang Wang, Tianle Mai, Zehui Xiong, and Song Guo

IEEE Global Telecommunications Conference (Globecom)

2023

Wait for Fresh Data? Digital Twin Empowered IoT Services in Edge Computing

Jing Li, Song Guo, Weifa Liang, Jie Wu, Quan Chen, Zichuan Xu, Wenzheng Xu, and Jianping Wang

IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS)

2023

GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard Mechanism

Zicong Hong, Song Guo, Enyuan Zhou, Wuhui Chen, Huawei Huang, and Albert Zomaya

49th International Conference on Very Large Data Bases (VLDB)

2023

Security

RingSFL: An Adaptive Federated Learning System for Heterogeneous Clients

Jinglong Shen, Nan Cheng, Zhisheng Yin, Yuchuan Fu, Wenchao Xu and Song Guo

12th IEEE/CIC International Conference on Communications in China (ICCC)

2023

Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware

Peiran Dong, Song Guo, and Junxiao Wang

29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

2023

Security

Online Federated Learning for Air-Ground Edge Intelligence

Yuben Qu, Yuqian Jing, Chao Dong, Lei Zhang, Qihui Wu, Song Guo

Proceedings of the ACM Turing Award Celebration Conference (ACM TURC)

2023

Towards Unbiased Training in Federated Open-world Semi-supervised Learning

Jie Zhang, Xiaosong Ma, Song Guo, and Wenchao Xu

40th International Conference on Machine Learning (ICML)

2023

Agent

Anchor Sampling for Federated Learning with Partial Client Participation

Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, and Jing Gao

40th International Conference on Machine Learning (ICML)

2023

TradeFL: A Trading Mechanism for Cross-Silo Federated Learning

Shijing Yuan, Hongtao Lv, Hongze Liu, Chentao Wu, Song Guo, Zhi Liu, Hongyang Chen and Jie Li

43rd IEEE International Conference on Distributed Computing Systems (ICDCS)

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, and Aiqian Gan

IEEE International Conference on Multimedia and Expo (ICME)

2023

Optimizing Average AoI with Directional Charging for Wireless-Powered Network Edge

Quan Chen, Song Guo, Wenchao Xu, Jing Li, Tuo Shi, Zhipeng Cai, and Hong Gao

IEEE/ACM International Symposium on Quality of Service (IWQoS)

2023

(ML)² P-Encoder: On Exploration of Channel-class Correlation for Multi-label Zero-shot Learning

Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, and Fushuo Huo

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)

2023

Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models

Yingchun Wang, Jingcai Guo, Jie Zhang, Song Guo, Weizhan Zhang, and Qinghua Zheng

International Joint Conference on Neural Networks (IJCNN)

2023

PMR: Prototypical Modal Rebalance for Multimodal Learning

Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, and Song Guo

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)

2023

Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning

Xiaocheng Lu, Song Guo, Ziming Liu, and Jingcai Guo

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)

2023

pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning

Tao Guo, Song Guo, and Chunxiao Jiang

The ACM Web Conference (WWW)

2023

Latency-Optimal Pyramid-based Joint Communication and Computation Scheduling for Distributed Edge Computing

Quan Chen, Kaijia Wang, Song Guo, Tuo Shi, Jing Li, Zhipeng Cai, and Albert Zomaya

IEEE Conference on Computer Communications (INFOCOM)

2023

PROPHET: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering

Zicong Hong, Song Guo, Enyuan Zhou, Jianting Zhang, Chen Wuhui, Jinwen Liang, Jie Zhang, and Albert Zomaya

IEEE Conference on Computer Communications (INFOCOM)

2023

Security

MGIA: Mutual Gradient Inversion Attack In Multi-modal Federated Learning

Xuan Liu, Siqi Cai, Lin Li, Rui Zhang, and Song Guo

the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI)

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, and Jingren Zhou

the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI)

2023

System

Graph Knows Unknowns: Reformulate Zero-shot Learning as Sample-level Graph Recognition

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

the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI)

2023

CryptoFE: Practical and Privacy-Preserving Federated Learning via Functional Encryption

Xinyuan Qian, Hongwei Li, Meng Hao, Shuai Yuan, Xilin Zhang, and Song Guo

IEEE Global Telecommunications Conference (Globecom)

2022

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning

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

the 36th Annual Conference on Neural Information Processing Systems (NeurIPS)

2022

Fast Secure Aggregation for Privacy-Preserving Federated Learning

Yanjun Liu, Hongwei Li, Meng Hao, and Song Guo

IEEE Global Telecommunications Conference (Globecom)

2022

Computation Offloading and Energy Harvesting Schemes for Sum Rate Maximization in SAG Networks

Yongkang Gong, Haipeng Yao, Zehui Xiong, Song Guo, F. Richard Yu, and Dusit Niyato

IEEE Global Telecommunications Conference (Globecom)

2022

2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning

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

18th International Symposium on Bioinformatics Research and Applications (ISBRA)

2022

Energy-Constrained D2D Assisted Federated Learning in Edge Computing

Yuchen Li, Weifa Liang, Jing Li, Xiuzhen Cheng, Dongxiao Yu, Albert Zomaya, and Song Guo

the 25th ACM International Conference on Modeling

2022

SFC-Enabled Reliable Service Provisioning in Mobile Edge Computing via Digital Twins

Jing Li, Song Guo, Weifa Liang, Quan Chen, Zichuan Xu, and Wenzheng Xu

IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS)

2022

Achieving Scalability and Load Balance across Blockchain Shards for State Sharding

Canlin Li, Huawei Huang, Yetong Zhao, Xiaowen Peng, Ruijie Yang, Zibin Zheng, and Song Guo

the 41st International Symposium on Reliable Distributed Systems (SRDS)

2022

Parallel Network Slicing for Multi-SP Services

Rongxin Han, Dezhi Chen, Song Guo, Xiaoyuan Fu, Jingyu Wang, Qi Qi, and Jianxin Liao

the 51st International Conference on Parallel Processing (ICPP)

2022

Personalized Federated Learning with Contextualized Generalization

Xueyang Tang, Song Guo, and Jingcai Guo

the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI)

2022

A Survey on Gradient Inversion: Attacks, Defenses and Future Directions

Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, and Dacheng Tao

Defenses and Future Directions?

2022

Hare: Exploiting Inter-job and Intra-job Parallelism of Distributed Machine Learning on Heterogeneous GPUs

Fahao Chen, Peng Li, Celimuge Wu, and Song Guo

the 31st ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC)

2022

AoI Minimization Charging at Wireless-Powered Network Edge

Quan Chen, Song Guo, Wenchao Xu, Zhipeng Cai, Lianglun Cheng, and Hong Gao

IEEE International Conference on Parallel and Distributed Systems (ICDCS)

2022

Sustainable Federated Learning with Long-term Online VCG Auction Mechanism

Leijie Wu, Song Guo, Yi Liu, Zicong Hong, Yufeng Zhan, and Wenchao Xu

IEEE International Conference on Parallel and Distributed Systems (ICDCS)

2022

Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression

Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang and Jie Zhang

the 59th Design Automation Conference (DAC)

2022

CYCLE: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing

Zicong Hong, Song Guo, Rui Zhang, Peng Li, Yufeng Zhan, and Wuhui Chen

the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

2022

Security

Layer-wised Model Aggregation for Personalized Federated Learning

Xiaosong Ma, Jie Zhang, Song Guo, and Wenchao Xu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

2022

Agent

On the Joint Optimization of Function Assignment and Communication Scheduling toward Performance Efficient Serverless Edge Computing

Yuepeng Li, Deze Zeng, Lin Gu, Kun Wang, and Song Guo

IEEE/ACM International Symposium on Quality of Service (IWQoS)

2022

An Online Throughput Maximization Algorithm for Green Coordinated Multi-piont Systems

Yanjie Dong, Haijun Zhang, Jianqiang Li, F. Richard Yu, Song Guo, and Victor C. M. Leung

IEEE International Conference on Acoustics

2022

BrokerChain: A Cross-Shard Blockchain Protocol for Account/Balance-based State Sharding

Huawei Huang, Xiaowen Peng, Jianzhou Zhan, Shenyang Zhang, Yue Lin, Zibin Zheng, and Song Guo

IEEE Conference on Computer Communications (INFOCOM)

2022

Protect Privacy from Gradient Leakage Attack in Federated Learning

Junxiao Wang, Song Guo, Xin Xie, and Heng Qi

IEEE Conference on Computer Communications (INFOCOM)

2022

Federated Unlearning via Class-Discriminative Pruning

Junxiao Wang, Song Guo, Xin Xie and Heng Qi

The Web Conference (WWW)

2022

Parameterized Knowledge Transfer for Personalized Federated Learning

Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, and Feijie Wu

2021 Conference on Neural Information Processing Systems (NeurIPS)

2021

Agent

Lasagna: Accelerating Secure Deep Learning Inference in SGX-enabled Edge Cloud

Yuepeng Li, Deze Zeng, Lin Gu, Quan Chen, Song Guo, Albert Zomaya, and Minyi Guo

ACM Symposium on Cloud Computing (ACM SoCC)

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, and Jingren Zhou

USENIX Annual Technical Conference (USENIX ATC)

2021

System

Towards Efficient Inference: Adaptively Cooperate in Heterogeneous IoT Edge Cluster

Xiang Yang, Qi Qi, Jingyu Wang, Song Guo, and Jianxin Liao

IEEE International Conference on Parallel and Distributed Systems (ICDCS)

2021

MVCom: Scheduling Most Valuable Committees for the Large-Scale Sharded Blockchain

Huawei Huang, Zhenyi Huang, Xiaowen Peng, Zibin Zheng, and Song Guo

IEEE International Conference on Parallel and Distributed Systems (ICDCS)

2021

Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism

Yi Liu, Leijie Wu, Yufen Zhan, Song Guo, and Zicong Hong

IEEE International Conference on Parallel and Distributed Systems (ICDCS)

2021

Revisiting Double-Spending Attacks on the Bitcoin Blockchain: New Findings

Jian Zheng, Huawei Huang, Canlin Li, Zibin Zheng, and Song Guo

IEEE/ACM International Symposium on Quality of Service (IWQOS)

2021

No Wait, No Waste: A Novel and Efficient Coordination Algorithm for Multiple Readers in RFID Systems

Qiuying Yang, Xuan Liu, and Song Guo

2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS)

2021

Exploring Layered Container Structure for Cost Efficient Microservice Deployment

Lin Gu, Deze Zeng, Jie Hu, Hai Jin, Song Guo, and Albert Zomaya

IEEE Conference on Computer Communications (INFOCOM)

2021

A Lightweight Integrity Authentication Approach for RFID-enabled Supply Chains

Xin Xie, Xiulong Liu, Song Guo, Heng Qi, and Keqiu Li

IEEE Conference on Computer Communications (INFOCOM)

2021

Pyramid: A Layered Sharding Blockchain System

Zicong Hong, Song Guo, Peng Li, and Wuhui Chen

IEEE Conference on Computer Communications (INFOCOM)

2021

Security

SRCD: Semantic Reasoning With Compound Domains for Single-Domain Generalized Object Detection

Zhijie Rao, Jingcai Guo, Luyao Tang, Yue Huang, Xinghao Ding, and Song Guo

IEEE Transactions on Neural Networks and Learning Systems

2025

DeepZoning: Re-accelerate CNN Inference with Zoning Graph for Heterogeneous Edge Cluster

Jingyu Wang, Ruilong Ma, Xiang Yang, Qi Qi, Zirui Zhuang, Jing Wang, Jianxin Liao, and Song Guo

ACM Transactions on Architecture and Code Optimization

2025

A Survey on Trustworthy Edge Intelligence: From Security and Reliability to Transparency and Sustainability

Xiaojie Wang, Beibei Wang, Yu Wu, Zhaolong Ning, Song Guo, and Fei Richard Yu

IEEE Communications Surveys and Tutorials

2025

Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning

Yingchun Wang, Song Guo, Jingcai Guo, Weizhan Zhang, Jie Zhang, Qing-Hua Zheng, and Yuanhong Zhang

IEEE Transactions on Neural Networks and Learning Systems

2025

Advanced Product Personalization in the Blockchain-enabled Metaverse: A Diffusion Model for Automatic Style Generation

Mengsi Li, Jie Zhang, Yan Hong, Xiangpeng Xie, Meng Zhang, and Song Guo

IEEE Internet of Things Journal

2025

DECC: Delay-Aware Edge-Cloud Collaboration for Accelerating DNN Inference

Zirui Zhuang, Jianan Chen, Wenchao Xu, Qi Qi, Song Guo, Jingyu Wang, Lu Lu, Hongwei Yang, and Jianxin Liao

IEEE Transactions on Emerging Topics in Computing

2025

Social Group Oriented Recommendation Systems in Wireless Edge-Empowered Metaverse

Xinping Li, Yan Hong, Meng Zhang, Xiangpeng Xie, Jie Zhang, and Song Guo

IEEE Network

2025

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

Yi Liu, Song Guo, Jie Zhang, Yufeng Zhan, Qihua Zhou, and Yingchun Wang

IEEE Transactions on Neural Networks and Learning Systems

2025

Agent

Efficient Online Computing Offloading for Budget-Constrained Cloud-Edge Collaborative Video Streaming Systems

Shijing Yuan, Yuxin Liu, Song Guo, Jie Li, Hongyang Chen, Chentao Wu, and Yang Yang

IEEE Transactions on Cloud Computing

2025

A Comprehensive Survey on Communication-Efficient Federated Learning in Mobile Edge Environments

Ninghui Jia, Zhihao Qu, Baoliu Ye, Yanyan Wang, Shihong Hu, and Song Guo

IEEE Communications Surveys and Tutorials

2025

6G Communication New Paradigm: The Integration of Unmanned Aerial Vehicles and Intelligent Reflecting Surfaces

Zhaolong Ning, Tengfeng Li, Yu Wu, Xiaojie Wang, Qingqing Wu, Fei Richard Yu, and Song Guo

IEEE Communications Surveys and Tutorials

2025

Agent

Joint Data Retransmission and Client Selection Optimization for Error-Tolerant Federated Learning in UAV Networks

Chao Dong, Feiyu Wu, Yuben Qu, Rajendra Akerkar, Tao Wu, Fuhui Zhou, Qihui Wu, and Song Guo

IEEE Transactions on Cognitive Communications and Networking

2025

Air-ground Integrated Online Federated Learning under Unreliable Communication

Yuqian Jing, Yuben Qu, Tao Wu, Chao Dong, Song Guo, and Qihui Wu

IEEE Transactions on Cognitive Communications and Networking

2025

Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM

Yao Zhang, Yuyi Mao, Hui Wang, Zhiwen Yu, Song Guo, Jun Zhang, Liang Wang, and Bin Guo

IEEE Transactions on Mobile Computing

2025

Average AoI Minimization with Directional Charging for Wireless-Powered Network Edge

Quan Chen, Song Guo, Wenchao Xu, Jing Li, Tuo Shi, Hong Gao, and Zhipeng Cai

IEEE Transactions on Mobile Computing

2025

Energy-Efficient Over-the-Air Computation for Federated Generative Model Fine-Tuning in Unmanned Vehicle-Assisted Disaster Relief

Yikun Zhao, Lei Feng, Fanqin Zhou, Wenjing Li, Zehui Xiong, Hongyang Du, Celimuge Wu, Song Guo, Tony Q.S. Quek, and Zhu Han

IEEE Transactions on Cognitive Communications and Networking

2025

Efficient Multi-user Offloading of Personalized Diffusion Models: A DRL-Convex Hybrid Solution

Wanting Yang, Zehui Xiong, Song Guo, Shiwen Mao, Dong In Kim, and Merouane Debbah

IEEE Transactions on Mobile Computing

2025

ExpertDRL: Request Dispatching and Instance Configuration for Serverless Edge Inference with Foundation Models

Yue Zeng, Junlong Zhou, Baoliu Ye, Zhihao Qu, Song Guo, Tianjian Gong, and Pan Li

IEEE Transactions on Mobile Computing

2025

BrokerChain: A Blockchain Sharding Protocol by Exploiting Broker Accounts

Huawei Huang, Zhaokang Yin, Qinde Chen, Jian Zheng, Xiaofei Luo, Guang Ye, Xiaowen Peng, Zibin Zheng, and Song Guo

IEEE/ACM Transactions on Networking

2025

Graph Attentional Based Agglomerative Cluster for UAV Swarm Networks

Shan Huang, Haipeng Yao, Xiaoman Wang, Tianle Mai, Zunliang Wang, and Song Guo

IEEE Transactions on Network Science and Engineering

2025

SecPQ: Secure Prediction Queries on Encrypted Outsourced Databases

Jinwen Liang, Song Guo, Zicong Hong, Enyuan Zhou, Chuan Zhang, and Bin Xiao

IEEE Transactions on Dependable and Secure Computing

2025

Security

Quality of Experience and Reliability-Aware Task Offloading and Scheduling for Multi-User Mobile-Edge Computing Systems

Junlong Zhou, Xiangpeng Hou, Peijin Cong, Weiming Jiang, Yue Zeng, and Song Guo

IEEE Transactions on Services Computing

2025

Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence

Xin Yuan, Ning Li, Kang Wei,Wenchao Xu, Quan Chen, Hao Chen, and Song Guo

IEEE Transactions on Mobile Computing

2025

Efficient Missing Key Tag Identification in Large-scale RFID Systems: An Iterative Verification and Selection Method

Jiangjin Yin, Xin Xie, Hangyu Mao, and Song Guo

IEEE Transactions on Mobile Computing

2025

Multimodal Dual-embedding Networks for Malware Open-set Recognition

Jingcai Guo, Han Wang, Yuanyuan Xu, Wenchao Xu, Yufeng Zhan, Yuxia Sun, and Song Guo

IEEE Transactions on Neural Networks and Learning Systems

2025

FedQClip: Accelerating Federated Learning via Quantized Clipped SGD

Zhihao Qu, Ninghui Jia, Baoliu Ye, Shihong Hu, and Song Guo

IEEE Transactions on Computers

2025

Adaptive Incentive and Resource Allocation for Blockchain-Supported Edge Video Streaming Systems: A Cooperative Learning Approach

Shijing Yuan, Qingshi Zhou, Jie Li, Song Guo, Hongyang Chen, Chentao Wu, and Yang Yang

IEEE Transactions on Mobile Computing

2025

Distributionally Robust Optimization of On-Orbit Resource Scheduling for Remote Sensing in Space-Air-Ground Integrated 6G Networks

Jiachen Sun, Xu Chen, Chunxiao Jiang, and Song Guo

IEEE Journal on Selected Areas in Communications

2025

Structure-Adaptive and Power-Aware Broadcast Scheduling for Multihop Wireless-Powered IoT Networks

Quan Chen, Zhipeng Cai, Jing Li, Ning Li, Lianglun Cheng, Hong Gao, Song Guo

ACM Transactions on Sensor Networks

2025

Collaborative Neural Architecture Search for Personalized Federated Learning

Yi Liu, Song Guo, Jie Zhang, Zicong Hong, Yufeng Zhan, and Qihua Zhou

IEEE Transactions on Computers

2025

Agent

Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning

Jie Zhang, Song Guo, Xiaosong Ma, Wenchao Xu, Qihua Zhou, Jingcai Guo, Zicong Hong, and Jun Shan

IEEE Transactions on Mobile Computing

2025

Agent

ASDroid: Resisting Evolving Android Malware with API Clusters Derived from Source Code

Qihua Hu, Weiping Wang, Song Guo, Jian Zhang, Shigeng Zhang

IEEE Transactions on Information Forensics and Security

2025

Explore and Cure: Unveiling Sample Effectiveness with Context-Aware Federated Prompt Tuning

Tao Guo, Song Guo, and Junxiao Wang

IEEE Transactions on Mobile Computing

2024

AoI-Aware Service Provisioning in Edge Computing for Digital Twin Network Slicing Requests

Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Zicong Hong, Zichuan Xu, Wenzheng Xu, and Bin Xiao

IEEE Transactions on Mobile Computing

2024

Enabling Foundation Models: A Distributed Collaboration Framework Based on Graph Federated Learning

Jiewei Chen, Shaoyong Guo, Qi Qi, Jiakai Hao, Song Guo, and Xuesong Qiu

IEEE Transactions on Services Computing

2024

Time-Sensitive Scheduling Mechanism based on End-to-End Collaborative Latency Tolerance for Low-Earth-Orbit Satellite Networks

Fu Wang, Haipeng Yao, Wenji He, Huan Chang, Xiangjun Xin, and Song Guo

IEEE Transactions on Network Science and Engineering

2024

In-network Computing Empowered Mobile Edge Offloading Architecture for Internet of Things

Di Wu, Zunliang Wang, Huijiang Pan, Haipeng Yao, Tianle Mai, and Song Guo

IEEE Transactions on Services Computing

2024

Rethinking Personalized Client Collaboration in Federated Learning

Leijie Wu, Song Guo, Yaohong Ding, Junxiao Wang, Wenchao Xu, Yufeng Zhan, and Anne-Marie Kermarrec

IEEE Transactions on Mobile Computers

2024

All-Sky Autonomous Computing in UAV Swarm

Hao Sun, Yuben Qu, Chao Dong, Haipeng Dai, Zhenhua Li, Lei Zhang, Qihui Wu, and Song Guo

IEEE Transactions on Mobile Computing

2024

Fast-Convergent Wireless Federated Learning: A Voting Based Topk Model Compression Approach

Xiaoxin Su, Yipeng Zhou, Laizhong Cui, Quan Z. Sheng, Yinggui Wang, and Song Guo

IEEE Journal on Selected Areas in Communications

2024

High Efficiency Inference Accelerating Algorithm for NOMA-based Edge Intelligence

Xin Yuan, Ning Li, Tuo Zhang, Muqing Li, Yuwen Chen, Jose Fernan Martinez Ortega, and Song Guo

IEEE Transactions on Wireless Communications

2024

SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning

Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Ruixuan Li, and Song Guo

IEEE Transactions on Parallel and Distributed Systems

2024

Human Cognition Modeling for the Metaverse-oriented Design System

Yan Hong, Song Guo, Xianyi Zeng, and Jie Zhang

IEEE Network

2024

A Survey on Security of UAV Swarm Networks: Attacks and Countermeasures

Xiaojie Wang, Zhonghui Zhao, Ling Yi, Zhaolong Ning, Lei Guo, Fei Richard Yu, and Song Guo

ACM Computing Surveys

2024

Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing

Yifan Shi, Kang Wei, Li Shen, Jun Li, Xueqian Wang, Bo Yuan, and Song Guo

IEEE Transactions on Mobile Computers

2024

Joint Task Offloading and Content Caching for NOMA-Aided Cloud-Edge-Terminal Cooperation Networks

Chao Fang, Hang Xu, Tianyi Zhang, Yingshan Li, Wei Ni, Zhu Han, and Song Guo

IEEE Transactions on Wireless Communications

2024

Generative AI-enabled Mobile Tactical Multimedia Networks: Distribution, Generation, and Perception

Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Song Guo, Yuguang Fang, and Dong In Kim

Generation

2024

Non-Clairvoyant Scheduling of Distributed Machine Learning with Inter-job and Intra-job Parallelism on Heterogeneous GPUs

Fahao Chen, Peng Li, Celimuge Wu, and Song Guo

IEEE Transactions on Cloud Computing

2024

GAI-IoV: Bridging Generative AI and Vehicular Networks for Ubiquitous Edge Intelligence

Gaochang Xie, Zehui Xiong, Xinyuan Zhang, Renchao Xie, Song Guo, Mohsen Guizani, and H. Vincent Poor

IEEE Transactions on Wireless Communications

2024

Achieving Efficient and Privacy-Preserving Location-Based Task Recommendation in Spatial Crowdsourcing

Fuyuan Song, Jinwen Liang, Chuan Zhang, Zhangjie Fu, Zheng Qin, and Song Guo

IEEE Transactions on Dependable and Secure Computing

2024

Boosting Dynamic Decentralized Federated Learning by Diversifying Model Sources

Dongyuan Su, Yipeng Zhou, Laizhong Cui, and Song Guo

IEEE Transactions on Services Computing

2024

Group Task Recommendation in Mobile Crowdsensing: An Attention-based Neural Collaborative Approach

Kaimin Wei,Guozi Qi, Zhetao Li, Song Guo, and Jinpeng Chen

IEEE Transactions on Mobile Computers

2024

Chiron: A Robustness-aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning

Yi Liu, Song Guo, Yufeng Zhan, Leijie Wu, Zicong Hong, and Qihua Zhou

IEEE Transactions on Mobile Computers

2024

Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit

Duyu Chen, Wenchao Xu, Haozhao Wang, Yining Qi, Ruixuan Li, Pan Zhou, and Song Guo

IEEE Transactions on Mobile Computers

2024

An Optimized Sparse Response Mechanism for Differentially Private Federated Learning

Jiating Ma, Yipeng Zhou, Laizhong Cui, and Song Guo

IEEE Transactions on Dependable and Secure Computing

2024

Dynamic Network Slice for Bursty Edge Traffic

Rongxin Han, Jingyu Wang, Qi Qi, Dezhi Chen, Zirui Zhuang, Haifeng Sun, Xiaoyuan Fu, Jianxin Liao, and Song Guo

IEEE/ACM Transactions on Networking

2024

FutureDID: A Fully Decentralized Identity System with Multi-Party Verification

Haotian Deng, Jinwen Liang, Chuan Zhang, Ximeng Liu, Liehuang Zhu, and Song Guo

IEEE Transactions on Computers

2024

AoI-Aware, Digital Twin-Empowered IoT Query Services in Mobile Edge Computing

Jing Li, Song Guo, Weifa Liang, Jie Wu, Quan Chen, Zichuan Xu, Wenzheng Xu, and Jianping Wang

Digital Twin-Empowered IoT Query Services in Mobile Edge Computing?August 2024

2024

Peak AoI Minimization with Directional Charging for Data Collection at Wireless-Powered Network Edge

Quan Chen, Song Guo, Wenchao Xu, Jing Li, Kang Wei, Zhipeng Cai, and Hong Gao

IEEE Transactions on Services Computing

2024

NANO: Cryptographic Enforcement of Readability and Editability Governance in Blockchain Databases

Chuan Zhang, Mingyang Zhao, Jinwen Liang, Qing Fan, Liehuang Zhu, and Song Guo

Transactions on Dependable and Secure Computing

2024

VSpatial: Enabling Private and Verifiable Spatial Keyword-based Positioning in 6G-oriented IoT

Weiting Zhang, Mingyang Zhao, Zhuoyu Sun, Chuan Zhang, Jinwen Liang, Liehuang Zhu, and Song Guo

IEEE Journal on Selected Areas in Communications

2024

Fall-attention: An Attention-based Fall Detection Method for Adjoint Activities

Yalong Xiao, Junfeng Zhu, Shigeng Zhang, Xuan Liu, and Song Guo

IEEE Transactions on Mobile Computers

2024

Towards Real-Time Inference Offloading with Distributed Edge Computing: the Framework and Algorithms

Quan Chen, Song Guo, Kaijia Wang, Wenchao Xu, Jing Li, Zhipeng Cai, Hong Gao, and Albert Zomaya

IEEE Transactions on Mobile Computers

2024

Intelligence-Endogenous Management Platform for Computing and Network Convergence

Zicong Hong, Xiaoyu Qiu, Jian Lin, Wuhui Chen, Yue Yu, Hui Wang, Song Guo, and Wen Gao

IEEE Network

2024

System

Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing

Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Wenchao Xu, Kang Wei, and Xiaohua Jia

IEEE Transactions on Computers

2024

Adaptive Double-Spending Attacks on PoW-based Blockchains

Jian Zheng, Huawei Huang, Canlin Li, Zibin Zheng, and Song Guo

IEEE Transactions on Dependable and Secure Computing

2024

Participant and Sample Selection for Efficient Online Federated Learning in UAV Swarms

Feiyu Wu, Yuben Qu, Tao Wu, Chao Dong, Kefeng Guo, Qihui Wu, and Song Guo

IEEE Internet of Things Journal

2024

Digital Twin-Enabled Service Provisioning in Continual Edge Learning

Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Yue Zeng, and Xiaohua Jia

IEEE Transactions on Mobile Computers

2024

A Sustainable Supply Chain Design for Personalized Customization in Industry 5.0 Era

Yufei Xue, Yan Hong, Jie Zhang, and Song Guo

IEEE Transactions on Industrial Informatics

2024

Trusted Sharing of Computing Power Resources: Benefit-Driven Heterogeneous Network Service Provision Mechanism

Meiling Dai, Shaoyong Guo, Song Guo, Sujie Shao, and Xuesong Qiu

IEEE Transactions on Services Computing

2024

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

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

IEEE Transactions on Pattern Analysis and Machine Intelligence

2024

System

Long-term Adaptive VCG Auction Mechanism for Sustainable Federated Learning with Periodical Client Shifting

Leijie Wu, Song Guo, Zicong Hong, Yi Liu, Wenchao Xu, and Yufeng Zhan

IEEE Transactions on Mobile Computing

2024

Fast Packet Loss Inferring via Personalized Simulation-Reality Distillation

Wenchao Xu, Haodong Wan, Haozhao Wang, Nan Cheng, Quan Chen, Haibo Zhou, and Song Guo

IEEE Transactions on Mobile Computing

2024

PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models - Federated Learning in Age of Foundation Model

Tao Guo, Song Guo, Junxiao Wang, and Wenchao Xu

IEEE Transactions on Mobile Computing

2024

On Energy Optimization for Hierarchical Federated Learning with Delay Constraint Through Node Cooperation

Zhuo Li, Sailan Zou, and Song Guo

IEEE Internet of Things Journal

2024

Adaptive Incentive for Cross-Silo Federated Learning in IIoT: A Multiagent Reinforcement Learning Approach

Shijing Yuan, Beiyu Dong, Hongtao Lv, Hongze Liu, Hongyang Chen, Chentao Wu, Song Guo, Yue Ding, and Jie Li

IEEE Internet of Things Journal

2024

POTA: Privacy-Preserving Online Multi-Task Assignment with Path Planning

Chuan Zhang, Xingqi Luo, Jinwen Liang, Ximeng Liu, Liehuang Zhu, and Song Guo

IEEE Transactions on Mobile Computing

2024

Fission Spectral Clustering Strategy For UAV Swarm Networks

Gepeng Zhu, Haipeng Yao, Tianle Mai, Zunliang Wang, Di Wu, and Song Guo

IEEE Transactions on Services Computing

2024

AoI-Aware User Service Satisfaction Enhancement in Digital Twin-Empowered Edge Computing

Weifa Liang, Jing Li, Song Guo, Jianping Wang, Quan Chen, Zichuan Xu, and Wenzheng Xu

IEEE/ACM Transactions on Networking

2024

Mobile Collaborative Learning over Opportunistic Internet of Vehicles

Wenchao Xu, Haozhao Wang, Zhaoyi Lu, Cunqing Hua, Nan Cheng, and Song Guo

IEEE Transactions on Mobile Computing

2024

A Survey on Scheduling Techniques in Computing and Network Convergence

Shujiong Tang, Yue Yu, Hui Wang, Guiliang Wang, Wuhui Chen, Zenglin Xu, Song Guo, and Wen Gao

IEEE Communications Surveys and Tutorials

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,and Weihua Zhuang

IEEE Transactions on Mobile Computing

2024

Publicly Verifiable and Secure SVM Classification for Cloud-Based Health Monitoring Services

Chuan Zhang, Dian Lei, Jinwen Liang, Chuan Zhang, Ximeng Liu, Daojing He, Liehuang Zhu, and Song Guo

IEEE Internet of Things Journal

2024

Peak AoI Minimization at Wireless-Powered Network Edge: from the Perspective of Both Charging and Transmitting

Quan Chen, Song Guo, Zhipeng Cai, Jing Li, Tuo Shi, and Hong Gao

IEEE/ACM Transactions on Networking

2024

UTDNet: A Unified Triplet Decoder Network for Multimodal Salient Object Detection

Fushuo Huo, Ziming Liu, Jingcai Guo, Wenchao Xu, and Song Guo

Neural Networks

2024

RF-Siamese: Approaching Accurate RFID Gesture Recognition With One Sample

Zijing Ma, Shigeng Zhang, Jia Liu, Xuan Liu, Weiping Wang, Jianxin Wang, and Song Guo

IEEE Transactions on Mobile Computing

2024

Elastic Collaborative Edge Intelligence for UAV Swarm: Architecture, Challenges, and Opportunities

Yuben Qu, Hao Sun, Chao Dong, Jiawen Kang, Haipeng Dai, Qihui Wu, and Song Guo

Challenges

2024

A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices

Chuntao Ding, Yidong Li, Zhichao Lu, Shangguang Wang, and Song Guo

IEEE Transactions on Mobile Computing

2024

Optimization-Driven DRL Based Joint Beamformer Design for IRS-Aided ITSN Against Smart Jamming Attacks

Hao Dong, Cunqing Hua, Lingya Liu, Wenchao Xu, and Song Guo

IEEE Transactions on Wireless Communications

2024

SafeDRL: Dynamic Microservice Provisioning with Reliability and Latency Guarantees

Yue Zeng, Zhihao Qu, Song Guo, Baoliu Ye, Jie Zhang, Jing Li, and Bin Tang

IEEE Transactions on Mobile Computers

2024

Digital Twin-Assisted, SFC-Enabled Service Provisioning in Mobile Edge Computing

Jing Li, Song Guo, Weifa Liang, Quan Chen, Zichuan Xu, Wenzheng Xu, and Albert Y. Zomaya

SFC-Enabled Service Provisioning in Mobile Edge Computing?January 2024

2024

Mobile Edge Computing and Machine Learning in The Internet of Unmanned Aerial Vehicles: Technologies, Solutions and Challenges

Zhaolong Ning, Hao Hu, Xiaojie Wang, Lei Guo, Song Guo, Guoyin Wang, and Xinbo Gao

Solutions and Challenges?January 2024

2024

DRL-Driven Joint Task Offloading and Resource Allocation for Energy-Efficient Content Delivery in Cloud-Edge Cooperation Networks

Chao Fang, Zhaoming Hu, Xiangheng Meng, Shanshan Tu, Zhuwei Wang, Deze Zeng, Wei Ni, Song Guo, and Zhu Han

IEEE Transactions on Vehicular Technology

2023

Real-time and Accurate Gesture Recognition with Commercial RFID Devices

Shigeng Zhang, Zijing Ma, Chengwei Yang, Xuan Liu, Xiaoyan Kui, Weiping Wang, Jianxin Wang, and Song Guo

IEEE Transactions on Mobile Computing

2023

HearMe: Accurate and Real-time Lip Reading based on Commercial RFID Devices

Shigeng Zhang, Zijing Ma, Kaixuan Lu, Xuan Liu, Jia Liu, Song Guo, Albert Y. Zomaya, Jian Zhang, and Jianxin Wang

IEEE Transactions on Mobile Computing

2023

Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention

Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, and Fushuo Huo

IEEE Transactions on Multimedia

2023

Reinforcement Learning-based Particle Swarm Optimization for End-to-End Traffic Scheduling in TSN-5G Networks

Xiaolong Wang, Haipeng Yao, Tianle Mai, Song Guo, and Yunjie Liu

IEEE/ACM Transactions on Networking

2023

Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding

Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo, and Jixuan Cui

IEEE Transactions on Instrumentation and Measurement

2023

Budget-Aware User Satisfaction Maximization on Service Provisioning in Mobile Edge Computing

Jing Li, Weifa Liang, Wenzheng Xu, Zichuan Xu, Xiaohua Jia, Albert Y. Zomaya, and Song Guo

IEEE Transactions on Mobile Computing

2023

Scheduling Most Valuable Committees for the Sharded Blockchain

Huawei Huang, Xiaowen Peng, Yue Lin, Miaoyong Xu, Guang Ye, Zibin Zheng, and Song Guo

IEEE/ACM Transactions on Networking

2023