Guanhua Ye

66 papers A* 13A 1B 2C 1Misc 2Journal 42Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion.
AAAI
Di Wang, Junping Du, Zhe Xue, MeiYu Liang, Guanhua Ye, Yingxia Shao, Haisheng Li
2026 J jnl
MedFuse: a multi-source data fusion framework for diabetic retinopathy lesion segmentation.
Frontiers Comput. Sci.
Jiantong Du, Yan Li, Yawen Li, Liwen Liao, Zhihao Zhao, Guanhua Ye
2026 A* conf
Multi-Granularity Multi-Modal Knowledge Graph Representation Learning via Subgraph-Aware Adaptive Fusion and Hierarchical Relation Modeling.
WWW
Peining Li, MeiYu Liang, Wei Huang, Junping Du, Zhe Xue, Guanhua Ye, Wu Liu, Lei Shi
2026 A* conf
Rethink Representation Learning for Questionnaire Data.
AAAI
Guanhua Ye, Jifeng He, Yan Li, Junping Du, Zhe Xue, Yingxia Shao, MeiYu Liang, Yawen Li
2025 B conf
A Memetic Algorithm for the Capacity-Constrained Community Detection Problem in Social Networks.
CEC
Yawen Li, Xin Lyu, Zequn Wei, Guanhua Ye, Jintong Ren
2025 — conf
Big Data Time Series Prediction Based on Feature-Enhanced Transformer Model.
BigComp
Runqing Tang, Yawen Li, Zhe Xue, Junping Du, Guanhua Ye
2025 A* conf
CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks.
IJCAI
Aijing Li, Junping Du, Dandan Liu, Yingxia Shao, Tong Zhao, Guanhua Ye
2025 — conf
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.
KDD (2)
Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2025 A* conf
DATA-WA: Demand-Based Adaptive Task Assignment with Dynamic Worker Availability Windows.
ICDE
Jinwen Chen, Jiannan Guo, Dazhuo Qiu, Yawen Li, Guanhua Ye, Yan Zhao, Kai Zheng
2025 J jnl
DATA-WA: Demand-based Adaptive Task Assignment with Dynamic Worker Availability Windows.
CoRR
Jinwen Chen, Jiannan Guo, Dazhuo Qiu, Yawen Li, Guanhua Ye, Yan Zhao, Kai Zheng
2025 J jnl
DecKG: Decentralized collaborative learning with knowledge graph enhancement for POI recommendation.
Inf. Sci.
Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin
2025 J jnl
ELMM: Efficient Lightweight Multimodal Large Language Models for Multimodal Knowledge Graph Completion.
CoRR
Wei Huang, Peining Li, MeiYu Liang, Xu Hou, Junping Du, Yingxia Shao, Guanhua Ye, Wu Liu, Kangkang Lu, Yang Yu
2025 J jnl
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.
ACM Trans. Inf. Syst.
Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
FeBT: A Feature Balancing Transformer for Corporate ESG Forecasting.
IEEE Trans. Knowl. Data Eng.
Yawen Li, Mengyu Zhuang, Guanhua Ye, Yan Li, Junheng Wang, Jinyi Zhou, Peng-Fei Zhang
2025 Misc conf
Federated Learning for Computing Power Network: A Latency Optimization Scheduling Framework Based on Deep Reinforcement Learning.
ADC
Zhonghui Ma, Junping Du, Zhe Xue, Guanhua Ye, Yingxia Shao
2025 J jnl
Graph Condensation: A Survey.
IEEE Trans. Knowl. Data Eng.
Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2025 Misc conf
LHATM: LLM-Guided Hierarchy-Aware Topic Modeling Framework.
ADC
Zheng Zhang, Junping Du, Yingxia Shao, Guanhua Ye
2025 — conf
MSformer: Joint Prediction of Multi-Dimensional Resources in Computing Power Network based on Multi-Granularity Sampling.
BigComp
Jiuzhao Yang, Junping Du, Yingxia Shao, Yawen Li, Ang Li, Guanhua Ye
2025 A* conf
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective.
WWW
Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2025 J jnl
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
ACM Trans. Inf. Syst.
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin
2025 — conf
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation.
KDD (1)
Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2025 A* conf
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning.
AAAI
Jia Wang, Yawen Li, Yingxia Shao, Zhe Xue, Zeli Guan, Ang Li, Guanhua Ye
2025 A* conf
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
WWW
Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin
2025 J jnl
RobGC: Towards Robust Graph Condensation.
IEEE Trans. Knowl. Data Eng.
Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui
2025 J jnl
Robust federated contrastive recommender system against targeted model poisoning attack.
Sci. China Inf. Sci.
Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 A* conf
Towards Unsupervised Entity Alignment for Highly Heterogeneous Knowledge Graphs.
ICDE
Runhao Zhao, Weixin Zeng, Jiuyang Tang, Yawen Li, Guanhua Ye, Junping Du, Xiang Zhao
2024 J jnl
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
ACM Trans. Inf. Syst.
Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Nguyen Quoc Viet Hung, Hongzhi Yin
2024 J jnl
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.
CoRR
Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2024 J jnl
DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin
2024 A* conf
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations.
KDD
Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin
2024 J jnl
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations.
CoRR
Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin
2024 J jnl
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.
CoRR
Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Graph neural networks with deep mutual learning for designing multi-modal recommendation systems.
Inf. Sci.
Jianing Li, Chaoqun Yang, Guanhua Ye, Quoc Viet Hung Nguyen
2024 J jnl
Heterogeneous decentralised machine unlearning with seed model distillation.
CAAI Trans. Intell. Technol.
Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space.
CoRR
Zhenyu Lin, Hongzheng Li, Yingxia Shao, Guanhua Ye, Yawen Li, Quanqing Xu
2024 J jnl
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective.
CoRR
Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2024 J jnl
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
CoRR
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin
2024 A* conf
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation.
WWW
Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation.
CoRR
Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Nguyen Quoc Viet Hung, Hongzhi Yin
2024 A conf
Physics-guided Active Sample Reweighting for Urban Flow Prediction.
CIKM
Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin
2024 J jnl
Physics-guided Active Sample Reweighting for Urban Flow Prediction.
CoRR
Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin
2024 J jnl
Poisoning Attacks and Defenses in Recommender Systems: A Survey.
CoRR
Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia Sadiq, Hongzhi Yin
2024 J jnl
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation.
CoRR
Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2024 J jnl
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
CoRR
Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
RobGC: Towards Robust Graph Condensation.
CoRR
Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui
2024 J jnl
Robust Federated Contrastive Recommender System against Model Poisoning Attack.
CoRR
Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Tackling Data Heterogeneity in Federated Time Series Forecasting.
CoRR
Wei Yuan, Guanhua Ye, Xiangyu Zhao, Quoc Viet Hung Nguyen, Yang Cao, Hongzhi Yin
2024 J jnl
Unleashing the Power of Large Language Models for Group POI Recommendations.
CoRR
Jing Long, Liang Qu, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 A* conf
Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
ICDE
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
2024 J jnl
WPFed: Web-based Personalized Federation for Decentralized Systems.
CoRR
Guanhua Ye, Jifeng He, Weiqing Wang, Zhe Xue, Feifei Kou, Yawen Li
2023 J jnl
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
CoRR
Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.
IEEE J. Biomed. Health Informatics
Guanhua Ye, Tong Chen, Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation.
CoRR
Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
CoRR
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
2022 J jnl
A Decentralized Collaborative Learning Framework Across Heterogeneous Devices for Personalized Predictive Analytics.
CoRR
Guanhua Ye, Hongzhi Yin, Tong Chen
2022 J jnl
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent.
IEEE J. Biomed. Health Informatics
Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song
2021 J jnl
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.
CoRR
Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang
2021 J jnl
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.
IEEE J. Biomed. Health Informatics
Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang
2021 J jnl
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent.
CoRR
Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song
2020 A* conf
Try This Instead: Personalized and Interpretable Substitute Recommendation.
SIGIR
Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang
2020 J jnl
Try This Instead: Personalized and Interpretable Substitute Recommendation.
CoRR
Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang
2005 J jnl
On Explicit Congestion Notification for Stream Control Transmission Protocol in Lossy Networks.
Clust. Comput.
Guanhua Ye, Tarek N. Saadawi, Myung J. Lee
2005 B conf
Wireless aware SCTP for ad hoc networks.
MASS
Guanhua Ye, Chunyue Liu, Tarek N. Saadawi, Myung J. Lee
2004 C conf
IPCC-SCTP: an enhancement to the standard SCTP to support multi-homing efficiently.
IPCCC
Guanhua Ye, Tarek N. Saadawi, Myung J. Lee
2004 J jnl
Improving stream control transmission protocol performance over lossy links.
IEEE J. Sel. Areas Commun.
Guanhua Ye, Tarek N. Saadawi, Myung Jong Lee
2003 — conf
Using Explicit Congestion Notification in Stream Control Transmission Protocol in Lossy Networks.
ICDCS Workshops
Guanhua Ye, Tarek N. Saadawi, Myung J. Lee