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Conference
Journal
D²MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving
Haodong Wang, Qihua Zhou, Zicong Hong, and Song Guo
the 31st Annual International Conference on Mobile Computing and Networking (MobiCom)
Hong Kong, November 4-8, 2025
2025
System
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TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Zhijie Rao, and Song Guo
the 34th International Joint Conference on Artificial Intelligence (IJCAI)
Montreal, Canada, August 16-22, 2025
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)
UK, July 20-23, 2025
Boosting Mesh Generation with Coordinates Merging
Jian Liu, Haohan Weng, Biwen Lei, Xianghui Yang, Zibo Zhao, Zhuo Chen, Chunchao Guo, Song Guo, and Tao Han
the 42nd International Conference on Machine Learning (ICML)
Vancouver, Canada, July 13-19, 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)
Nashville, USA, June 10-17, 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)
USA, June 10-17, 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)
UK, May 19-22, 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)
UK, May 19-22, 2025
2025
System
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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)
Singapore, April 24-28, 2025
Durable Quantization Conditioned Misalignment Attack on Large Language Models
Peiran Dong, Haowei Li, and Song Guo
the 13th International Conference on Learning Representations (ICLR)
Singapore, April 24-28, 2025
2025
Security
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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)
Singapore, April 24-28, 2025
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)
Philadelphia, USA, February 25 - March 4, 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
India, April 6-11, 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)
Philadelphia, USA, February 25 - March 4, 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)
Philadelphia, USA, February 25 - March 4, 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)
Canada, December 9-15, 2024
2024
Security
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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)
Canada, December 9-15, 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)
Hong Kong, December 2-6, 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)
Australia, October 28 - November 1, 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)
Australia, October 28 - November 1, 2024
Detached and Interactive Multimodal Learning
Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junhong Liu, and Song Guo
ACM International Conference on Multimedia (MM)
Australia, October 28 - November 1, 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)
Spain, October 19-24, 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)
Itay, September 29 - October 4, 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)
Itay, September 29 - October 4, 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)
China, August 24-29, 2024
2024
Security
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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)
Korea, August 3-9, 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)
Wien, Austria, July 21-27, 2024
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)
USA, July 23-26, 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)
Wien, Austria, July 21-27, 2024
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)
Wien, Austria, July 21-27, 2024
2024
Security
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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)
Netherlands, July 15, 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)
Seattle, USA, June 17-21, 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)
USA, June 17-21, 2024
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)
USA, June 9-13, 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)
Canada, May 20-23, 2024
2024
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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)
Canada, May 20-23, 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)
Canada, May 20-23, 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)
Canada, May 20-23, 2024
GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning
Rui Zhang, Song Guo and Ping Li
The Web Conference (WWW)
Singapore, May 13-17, 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)
Singapore, May 13-17, 2024
2024
Security
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Video
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
Austria, May 11, 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)
Austria, May 5-11, 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)
Greece, April 22-25, 2024
2024
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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)
USA, Dec 10-16, 2023
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)
Canada, February 20-27, 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)
Canada, February 20-27, 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)
USA, December 10-16, 2023
2023
Security
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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)
Canada, October 29 - November 3, 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)
Malaysia, December 4-8, 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)
Canada, September 25-27, 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)
Canada, August 28 - September 1, 2023
2023
Security
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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)
China, August 10-12, 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)
USA, August 6-10, 2023
2023
Security
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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)
China, July 28-30, 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)
USA, July 23-29, 2023
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)
USA, July 23-29, 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)
China, July 18-21, 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)
Australia, July 10-14, 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)
USA, June 19-21, 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)
Vancouver, Canada, June 18-22, 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)
Australia, June 18-23, 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)
Canada, June 18-22, 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)
Canada, June 18-22, 2023
pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning
Tao Guo, Song Guo, and Chunxiao Jiang
The ACM Web Conference (WWW)
USA, April 30 - May 4, 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)
USA, May 17-20, 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)
USA, May 17-20, 2023
2023
Security
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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)
USA, February 7-14, 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)
USA, February 7-14, 2023
2023
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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)
USA, February 7-14, 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)
Brazil, December 4-8, 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)
New Orleans, USA, Nov 26 - Dec 4 2022
Fast Secure Aggregation for Privacy-Preserving Federated Learning
Yanjun Liu, Hongwei Li, Meng Hao, and Song Guo
IEEE Global Telecommunications Conference (Globecom)
Brazil, December 4-8, 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)
Brazil, December 4-8, 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)
Israel, November 14-17, 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
Canada, October 24-28, 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)
USA, October 20-22, 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)
Austria, September 19-22, 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)
France, August 29 - September 1, 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)
Austria, July 23-29, 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, and Dacheng Tao
the Thirty-First International Joint Conference on Artificial Intelligence
Austria, July 23-29, 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)
USA, June 27 - July 1, 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)
Italy, July 10-13, 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)
Italy, July 10-13, 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)
USA, July 10-14, 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)
USA, June 27-30, 2022
2022
Security
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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)
USA, June 19-24, 2022
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)
June 10-12, 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
Singapore, May 22-27, 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)
May 2-5, 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)
May 2-5, 2022
Federated Unlearning via Class-Discriminative Pruning
Junxiao Wang, Song Guo, Xin Xie and Heng Qi
The Web Conference (WWW)
France, April 25-29, 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)
December 6-14, 2021
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)
November 1-4, 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)
July 14-16, 2021
2021
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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)
Virtual, July 7-10, 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)
Virtual, July 7-10, 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)
Virtual, July 7-10, 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)
June 25-28, 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)
June 25-28, 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)
May 10-13, 2021
Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey
Yichen Li, Haozhao Wang, Wenchao Xu, Tianzhe Xiao, Hong Liu, Mingzhu Tu, Yuying Wang, Xin Yang, Rui Zhang, Shui Yu, Song Guo, and Ruixuan Li
IEEE Communications Surveys and Tutorials
A Survey on Off-chain Networks: Frameworks, Technologies, Solutions and Challenges
Xiaojie Wang, Hanxue Li, Ling Yi, Zhaolong Ning, Song Guo, and Yan Zhang
ACM Computing Surveys
Adaptive Incentivize for Federated Learning with Cloud-Edge Collaboration under Multi-level Information Sharing
Shijing Yuan, Beiyu Dong, Jie Li, Song Guo, Hongyang Chen, Chentao Wu, Jie Wu, and Wei Zhao
IEEE Transactions on Computers
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
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
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
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
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
vol. 12, no. 8, April 2025, pp. 10304-10315
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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
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
vol. 24, no. 3, March 2025, pp. 1530-1549
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
vol. 24, no. 3, March 2025, pp. 2253-2269
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
vol. 36, no. 3, March 2025, pp. 4545-4559
FedQClip: Accelerating Federated Learning via Quantized Clipped SGD
Zhihao Qu, Ninghui Jia, Baoliu Ye, Shihong Hu, and Song Guo
IEEE Transactions on Computers
vol. 74, no. 2, February 2025, pp. 717-730
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
vol. 24, no. 2, February 2025, pp. 539-556
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
vol. 43, no. 1, January 2025, pp. 382-395
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
vol. 21, no. 1, article no. 4, January 202
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
vol. 74, no. 1, January 2025, pp. 250-262
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
vol. 24, no. 1, January 2025, pp. 379-393
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
Explore and Cure: Unveiling Sample Effectiveness with Context-Aware Federated Prompt Tuning
Tao Guo, Song Guo, and Junxiao Wang
IEEE Transactions on Mobile Computing
vol. 23, no. 12, December 2024, pp. 14044-14054
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
vol. 23, no. 12, December 2024, pp. 14607-14621
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
vol. 17, no. 6, November-December 2024, pp. 3569-3582
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
vol. 11, no. 6, November-December 2024, pp. 5149-5162
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
vol. 17, no. 6, November-December 2024, pp. 3817-3829
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
vol. 23, no. 12, December 2024, pp. 11227-11239
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
vol. 23, no. 12, December 2024, pp. 13258-13274
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
vol. 42, no. 11, November 2024, pp. 3048-3063
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
vol. 23, no. 11, November 2024, pp. 17539-17556
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
vol. 35, no. 11, November 2024, pp. 1879-1890
Human Cognition Modeling for the Metaverse-oriented Design System
Yan Hong, Song Guo, Xianyi Zeng, and Jie Zhang
IEEE Network
vol. 38, no. 6, November 2024, pp. 243-251
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
vol. 57, no. 3, November 2024, pp. 1-37
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
vol. 23, no. 10, October 2024, pp. 9946-9958
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
vol. 23, no. 10, October 2024, pp. 15586-15600
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
IEEE Communications Magazine
vol. 62, no. 10, October 2024, pp. 96-102
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
vol. 22, no. 4, Oct-Dec 2024, pp. 1011-1025
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
vol. 23, no. 10, October 2024, pp. 12799-12814
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
vol. 21, no. 4, July-August 2024, pp. 4006-4023
Boosting Dynamic Decentralized Federated Learning by Diversifying Model Sources
Dongyuan Su, Yipeng Zhou, Laizhong Cui, and Song Guo
IEEE Transactions on Services Computing
vol. 21, no. 4, July-August 2024, pp. 1400-1413
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
vol. 23, no. 8, August 2024, pp. 8066-8076
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
vol. 23, no. 8, August 2024, pp. 8508-8524
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
vol. 23, no. 8, August 2024, pp. 8355-8369
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
vol. 21, no. 4, July-August 2024, pp. 2285-2295
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
vol. 32, no. 4, August 2024, pp. 3142-3157
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
vol. 73, no. 8, August 2024, pp. 2051-2065
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
IEEE/ACM Transactions on Networking
vol. 32, no. 4, August 2024, pp. 3636-3650
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
vol. 17, no. 5, Sep-Oct 2024, pp. 2747-2761
NANO: Cryptographic Enforcement of Readability and Editability Governance in Blockchain Databases
Chuan Zhang, Mingyang Zhao, Jinwen Liang, Qing Fan, Liehuang Zhu, and Song Guo
IEEE Transactions on Dependable and Secure Computing
vol. 21, no. 4, July-August 2024, pp. 3439-3452
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
vol. 42, no. 10, October 2024, pp. 2954-2969
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
vol. 23, no. 7, July 2024, pp. 7895-7909
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
vol. 23, no. 7, July 2024, pp. 7552-7571
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
vol. 38, no. 4, July 2024, pp. 166-173
2024
System
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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
vol. 73, no. 7, July 2024, pp. 1837-1851
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
vol. 21, no. 3, May-June 2024, pp. 1098-1110
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
vol. 11, no. 12, June 2024, pp. 21202-21214
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
vol. 23, no. 6, June 2024, pp. 7335-7350
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
vol. 20, no. 6, June 2024, pp. 8786-8797
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
vol. 17, no. 3, May-June 2024, pp. 1265-1278
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
vol. 46, no. 5, May 2024, pp. 3938-3954
2024
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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
vol. 23, no. 5, May 2024, pp. 6060-6073
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
vol. 23, no. 5, May 2024, pp. 3696-3706
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
vol. 23, no. 5, May 2024, pp. 5179-5194
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
vol. 11, no. 9, May 2024, pp. 15299-15309
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
vol. 11, no. 9, May 2024, pp. 15048-15058
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
vol. 23, no. 5, May 2024, pp. 5999-6011
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
vol. 17, no. 2, March-April 2024, pp. 537-548
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
vol. 32, no. 2, April 2024, pp. 1677-1690
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
vol. 23, no. 4, April 2024, pp. 3187-3199
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
vol. 26, no. 1, Firstquarter 2024, pp. 160-195
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
vol. 23, no. 3, March 2024, pp. 2382-2394
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
vol. 11, no. 6, March 2024, pp. 9829-9842
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
vol. 32, no. 1, February 2024, pp. 806-821
UTDNet: A Unified Triplet Decoder Network for Multimodal Salient Object Detection
Fushuo Huo, Ziming Liu, Jingcai Guo, Wenchao Xu, and Song Guo
Neural Networks
vol. 170, February 2024, pp. 521-534
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
vol. 23, no. 1, January 2024, pp. 797-811
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
IEEE Communications Magazine
vol. 62, no. 1, January 2024, pp. 62-68
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
vol. 23, no. 1, January 2024, pp. 42-55
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
vol. 23, no. 1, January 2024, pp. 667-682
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
vol. 73, no. 1, January 2024, pp. 235-248
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
IEEE Transactions on Mobile Computing
vol. 23, no. 1, January 2024, pp. 393-408
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
ACM Computing Surveys
vol. 32, no. 4, August 2024, pp. 3636-3650
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
vol. 72, no. 12, December 2023, pp. 16195-16207
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
vol. 22, no. 12, December 2023, pp. 7327-7342
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
vol. 22, no. 12, December 2023, pp. 7266-7278
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
vol. 25, 2023eds, pp. 7441-7445
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
vol. 31, no. 6, December 2023, pp. 3254-3268