Xiao Zhang

84 papers A* 17A 3B 4Journal 50Unranked 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion.
AAAI
Ruisheng Zheng, Mingyi Li, Xiao Zhang, Hongjian Shi, Yanjie Fu, Yuan Yuan, Dongxiao Yu
2026 J jnl
FedPDM: Representation enhanced federated learning with privacy preserving diffusion models.
Knowl. Based Syst.
Wei Guo, Fuzhen Zhuang, Yiqi Tong, Xiao Zhang, Zhaojun Hu, Jiejie Zhao, Jin Dong
2026 J jnl
Federated Bilevel Learning Against Model Poisoning Attacks.
IEEE Trans. Netw.
Yuan Yuan, Yingfan Deng, Xiao Zhang, Yifei Zou, Yangguang Shi, Dongxiao Yu
2026 J jnl
Federated Reasoning Distillation Framework with Model Learnability-Aware Data Allocation.
CoRR
Wei Guo, Siyuan Lu, Xiangdong Ran, Yiqi Tong, Yikun Ban, Zelong Xu, Jing Fan, Zixuan Huang, Xiao Zhang, Zhaojun Hu, Fuzhen Zhuang
2026 J jnl
Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models With Structured Pruning in Resource-Limited Clients.
IEEE Trans. Mob. Comput.
Yan Li, Xiao Zhang, Mingyi Li, Guangwei Xu, Feng Chen, Yuan Yuan, Yifei Zou, Mengying Zhao, Jianbo Lu, Dongxiao Yu
2025 — conf
A Robust Distributed Minimax Learning Method Against Model Poisoning Attacks.
COCOON (2)
Tingting Zhang, Yuan Yuan, Xiao Zhang, Yifei Zou, Zhipeng Cai, Dongxiao Yu
2025 J jnl
Action-Aware Visual-Textual Alignment for Long-Instruction Vision-and-Language Navigation.
ACM Trans. Multim. Comput. Commun. Appl.
Bowen Huang, Yanwei Zheng, Chuanlin Lan, Dongchen Sui, Xinpeng Zhao, Xiao Zhang, Mengbai Xiao, Dongxiao Yu
2025 A conf
Adaptive Strategy Weighting with Fault Tolerant Localization for Object Navigation.
ICME
Yanwei Zheng, Shaopu Feng, Bowen Huang, Changrui Li, Xiao Zhang, Dongxiao Yu
2025 J jnl
BaDFL: Mitigating Model Poisoning in Decentralized Federated Learning.
IEEE Trans. Computers
Yuan Yuan, Anhao Zhou, Xiao Zhang, Yifei Zou, Yangguang Shi, Dongxiao Yu
2025 J jnl
Convergence-Guaranteed Federated Learning through Gradient Trajectory Smoothing with Triple-Objective Decomposition.
ACM Trans. Knowl. Discov. Data
Haoran Zong, Xiao Zhang, Ruichen Li, Jianhui Duan, Derun Zou, Wenzhong Li
2025 J jnl
Data-Free Continual Learning of Server Models in Model-Heterogeneous Federated learning.
CoRR
Xiao Zhang, Zengzhe Chen, Yuan Yuan, Yifei Zou, Fuzhen Zhuang, Wenyu Jiao, Yuke Wang, Dongxiao Yu
2025 J jnl
DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs.
CoRR
Haolin Jin, Mengbai Xiao, Yuan Yuan, Xiao Zhang, Dongxiao Yu, Guanghui Zhang, Haoliang Wang
2025 J jnl
Distributed Bilevel Optimization with Dual Pruning for Resource-limited Clients.
CoRR
Mingyi Li, Xiao Zhang, Ruisheng Zheng, Hongjian Shi, Yuan Yuan, Xiuzhen Cheng, Dongxiao Yu
2025 B conf
Efficient Strategy Learning by Decoupling Searching and Pathfinding for Object Navigation.
SMC
Yanwei Zheng, Shaopu Feng, Bowen Huang, Chuanlin Lan, Xiao Zhang, Dongxiao Yu
2025 — conf
FEZE: Alignment-Flexible Zero-Shot Vertical Federated Learning.
KDD (2)
Wei Guo, Yiqi Tong, Yiyang Duan, Fuzhen Zhuang, Xiao Zhang, Zhaojun Hu, Jin Dong
2025 A conf
H
ECAI
Wei Guo, Siyuan Lu, Yiqi Tong, Zhaojun Hu, Fuzhen Zhuang, Xiao Zhang, Tao Fan, Jin Dong
2025 J jnl
H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity.
CoRR
Wei Guo, Siyuan Lu, Yiqi Tong, Zhaojun Hu, Fuzhen Zhuang, Xiao Zhang, Tao Fan, Jin Dong
2025 A* conf
How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective.
ICML
Jing Qiao, Yu Liu, Yuan Yuan, Xiao Zhang, Zhipeng Cai, Dongxiao Yu
2025 J jnl
LIME:Accelerating Collaborative Lossless LLM Inference on Memory-Constrained Edge Devices.
CoRR
Mingyu Sun, Xiao Zhang, Shen Qu, Yan Li, Mengbai Xiao, Yuan Yuan, Dongxiao Yu
2025 A* conf
PDUDT: Provable Decentralized Unlearning under Dynamic Topologies.
ICML
Jing Qiao, Yu Liu, Zengzhe Chen, Mingyi Li, Yuan Yuan, Xiao Zhang, Dongxiao Yu
2025 J jnl
PipeDec: Low-Latency Pipeline-based Inference with Dynamic Speculative Decoding towards Large-scale Models.
CoRR
Haofei Yin, Mengbai Xiao, Rouzhou Lu, Xiao Zhang, Dongxiao Yu, Guanghui Zhang
2025 J jnl
Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data.
CoRR
Wei Guo, Yiyang Duan, Zhaojun Hu, Yiqi Tong, Fuzhen Zhuang, Xiao Zhang, Jin Dong, Ruofan Wu, Tengfei Liu, Yifan Sun
2025 J jnl
Pruning-Based Adaptive Federated Learning at the Edge.
IEEE Trans. Computers
Dongxiao Yu, Yuan Yuan, Yifei Zou, Xiao Zhang, Yu Liu, Lizhen Cui, Xiuzhen Cheng
2025 J jnl
TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent With Multi-Modality Observation Data in Cloud-Native Systems.
IEEE Trans. Serv. Comput.
Xiao Zhang, Qi Wang, Mingyi Li, Yuan Yuan, Mengbai Xiao, Fuzhen Zhuang, Dongxiao Yu
2025 J jnl
TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data.
CoRR
Qi Wang, Xiao Zhang, Mingyi Li, Yuan Yuan, Mengbai Xiao, Fuzhen Zhuang, Dongxiao Yu
2025 J jnl
Temporal-Spatial Object Relations Modeling for Vision-and-Language Navigation.
IEEE Trans. Intell. Transp. Syst.
Bowen Huang, Yanwei Zheng, Dongchen Sui, Chuanlin Lan, Xinpeng Zhao, Xiao Zhang, Jingke Meng, Mengbai Xiao, Yifei Zou, Dongxiao Yu
2024 J jnl
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications.
CoRR
Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong
2024 J jnl
A comprehensive survey of federated transfer learning: challenges, methods and applications.
Frontiers Comput. Sci.
Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong
2024 J jnl
Adaptive Clustering Based Personalized Federated Learning Framework for Next POI Recommendation With Location Noise.
IEEE Trans. Knowl. Data Eng.
Ziming Ye, Xiao Zhang, Xu Chen, Hui Xiong, Dongxiao Yu
2024 A* conf
BR-DeFedRL: Byzantine-Robust Decentralized Federated Reinforcement Learning with Fast Convergence and Communication Efficiency.
INFOCOM
Jing Qiao, Zuyuan Zhang, Sheng Yue, Yuan Yuan, Zhipeng Cai, Xiao Zhang, Ju Ren, Dongxiao Yu
2024 J jnl
De-RPOTA: Decentralized Learning With Resource Adaptation and Privacy Preservation Through Over-the-Air Computation.
IEEE/ACM Trans. Netw.
Jing Qiao, Shikun Shen, Shuzhen Chen, Xiao Zhang, Tian Lan, Xiuzhen Cheng, Dongxiao Yu
2024 — conf
Federated Dynamic Graph Fusion Framework for Remaining Useful Life Prediction.
WASA (2)
Jun Wang, Qi Wang, Mingyi Li, Xiao Zhang, Dongxiao Yu
2024 B conf
Federating from History in Streaming Federated Learning.
MobiHoc
Ruirui Zhang, Yifei Zou, Zhenzhen Xie, Xiao Zhang, Peng Li, Zhipeng Cai, Xiuzhen Cheng, Dongxiao Yu
2024 J jnl
Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning.
Big Data Min. Anal.
Jun Wang, Maiwang Shi, Xiao Zhang, Yan Li, Yunsheng Yuan, Chenglei Yang, Dongxiao Yu
2024 J jnl
Leveraging Unknown Objects to Construct Labeled-Unlabeled Meta-Relationships for Zero-Shot Object Navigation.
CoRR
Yanwei Zheng, Changrui Li, Chuanlin Lan, Yaling Li, Xiao Zhang, Yifei Zou, Dongxiao Yu, Zhipeng Cai
2024 J jnl
Privacy-Preserving Personalized Decentralized Learning With Fast Convergence.
IEEE Trans. Consumer Electron.
Jing Qiao, Zhenzhen Xie, Zhigao Zheng, Xiao Zhang, Zhenyu Zhang, Qun Zhang, Dongxiao Yu
2024 A* conf
Resource-Aware Federated Self-Supervised Learning with Global Class Representations.
NeurIPS
Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
2024 J jnl
Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective.
IEEE Trans. Knowl. Data Eng.
Xiao Zhang, Shuqing Xu, Huashan Chen, Zekai Chen, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
2024 A* conf
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification.
AAAI
Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong
2024 J jnl
Two-Stage Depth Enhanced Learning with Obstacle Map For Object Navigation.
CoRR
Yanwei Zheng, Shaopu Feng, Bowen Huang, Changrui Li, Xiao Zhang, Dongxiao Yu
2024 J jnl
Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients.
CoRR
Yan Li, Mingyi Li, Xiao Zhang, Guangwei Xu, Feng Chen, Yuan Yuan, Yifei Zou, Mengying Zhao, Jianbo Lu, Dongxiao Yu
2023 B conf
Communication Resources Limited Decentralized Learning with Privacy Guarantee through Over-the-Air Computation.
MobiHoc
Jing Qiao, Shikun Shen, Shuzhen Chen, Xiao Zhang, Tian Lan, Xiuzhen Cheng, Dongxiao Yu
2023 A* conf
Data Quality Aware Hierarchical Federated Reinforcement Learning Framework for Dynamic Treatment Regimes.
ICDM
Mingyi Li, Xiao Zhang, Haochao Ying, Yang Li, Xu Han, Dongxiao Yu
2023 J jnl
FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition.
IEEE Trans. Mob. Comput.
Hongzheng Yu, Zekai Chen, Xiao Zhang, Xu Chen, Fuzhen Zhuang, Hui Xiong, Xiuzhen Cheng
2023 J jnl
Federated Representation Learning With Data Heterogeneity for Human Mobility Prediction.
IEEE Trans. Intell. Transp. Syst.
Xiao Zhang, Qilin Wang, Ziming Ye, Haochao Ying, Dongxiao Yu
2023 A* conf
Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity.
SIGIR
Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu
2023 A* conf
Robust Image Ordinal Regression with Controllable Image Generation.
IJCAI
Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Z. Chen, Jian Wu
2023 J jnl
Robust Image Ordinal Regression with Controllable Image Generation.
CoRR
Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Ziyi Chen, Jian Wu
2023 J jnl
Robust communication-efficient decentralized learning with heterogeneity.
J. Syst. Archit.
Xiao Zhang, Yangyang Wang, Shuzhen Chen, Cui Wang, Dongxiao Yu, Xiuzhen Cheng
2023 J jnl
Robust decentralized stochastic gradient descent over unstable networks.
Comput. Commun.
Yanwei Zheng, Liangxu Zhang, Shuzhen Chen, Xiao Zhang, Zhipeng Cai, Xiuzhen Cheng
2023 A* conf
Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity.
KDD
Yangyang Wang, Xiao Zhang, Mingyi Li, Tian Lan, Huashan Chen, Hui Xiong, Xiuzhen Cheng, Dongxiao Yu
2023 J jnl
Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction.
IEEE Trans. Knowl. Data Eng.
Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong
2023 J jnl
Trustworthy decentralized collaborative learning for edge intelligence: A survey.
High Confid. Comput.
Dongxiao Yu, Zhenzhen Xie, Yuan Yuan, Shuzhen Chen, Jing Qiao, Yangyang Wang, Yong Yu, Yifei Zou, Xiao Zhang
2022 A* conf
ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition.
AAAI
Zekai Chen, Xiao Zhang, Xiuzhen Cheng
2022 — conf
EdgeViT: Efficient Visual Modeling for Edge Computing.
WASA (3)
Zekai Chen, Fangtian Zhong, Qi Luo, Xiao Zhang, Yanwei Zheng
2022 J jnl
Forecasting fine-grained city-scale cellular traffic with sparse crowdsourced measurements.
Comput. Networks
Jian-Hui Duan, Wenzhong Li, Xiao Zhang, Sanglu Lu
2022 J jnl
HarMI: Human Activity Recognition Via Multi-Modality Incremental Learning.
IEEE J. Biomed. Health Informatics
Xiao Zhang, Hongzheng Yu, Yang Yang, Jingjing Gu, Yujun Li, Fuzhen Zhuang, Dongxiao Yu, Zhaochun Ren
2022 J jnl
Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT.
IEEE Internet Things J.
Zekai Chen, Dingshuo Chen, Xiao Zhang, Zixuan Yuan, Xiuzhen Cheng
2022 J jnl
Question Tagging via Graph-guided Ranking.
ACM Trans. Inf. Syst.
Xiao Zhang, Meng Liu, Jianhua Yin, Zhaochun Ren, Liqiang Nie
2021 J jnl
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework.
CoRR
Zekai Chen, Maiwang Shi, Xiao Zhang, Haochao Ying
2021 J jnl
Cascaded SE-ResUnet for segmentation of thoracic organs at risk.
Neurocomputing
Zheng Cao, Bohan Yu, Biwen Lei, Haochao Ying, Xiao Zhang, Danny Z. Chen, Jian Wu
2021 A conf
DCAP: Deep Cross Attentional Product Network for User Response Prediction.
CIKM
Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng
2021 J jnl
DCAP: Deep Cross Attentional Product Network for User Response Prediction.
CoRR
Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng
2021 J jnl
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT.
CoRR
Zekai Chen, Dingshuo Chen, Zixuan Yuan, Xiuzhen Cheng, Xiao Zhang
2021 A* conf
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction.
AAAI
Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang
2021 J jnl
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction.
CoRR
Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang
2021 J jnl
Multi-Task Time Series Forecasting With Shared Attention.
CoRR
Zekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng
2020 J jnl
Emotion Detection in Online Social Networks: A Multilabel Learning Approach.
IEEE Internet Things J.
Xiao Zhang, Wenzhong Li, Haochao Ying, Feng Li, Siyi Tang, Sanglu Lu
2020 — conf
Multi-Task Time Series Forecasting With Shared Attention.
ICDM (Workshops)
Zekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng
2020 A* conf
PersonalitySensing: A Multi-View Multi-Task Learning Approach for Personality Detection based on Smartphone Usage.
ACM Multimedia
Songcheng Gao, Wenzhong Li, Lynda J. Song, Xiao Zhang, Mingkai Lin, Sanglu Lu
2020 J jnl
Predicting and Recommending the next Smartphone Apps based on Recurrent Neural Network.
CCF Trans. Pervasive Comput. Interact.
Shijian Xu, Wenzhong Li, Xiao Zhang, Songcheng Gao, Tong Zhan, Sanglu Lu
2019 A* conf
AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition.
IJCAI
Haojie Ma, Wenzhong Li, Xiao Zhang, Songcheng Gao, Sanglu Lu
2019 A* conf
Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach.
ACM Multimedia
Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu Lu
2019 J jnl
Supervised representation learning for multi-label classification.
Mach. Learn.
Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He
2019 J jnl
Time-aware metric embedding with asymmetric projection for successive POI recommendation.
World Wide Web
Haochao Ying, Jian Wu, Guandong Xu, Yanchi Liu, Tingting Liang, Xiao Zhang, Hui Xiong
2018 A* conf
An Integrated Model for Crime Prediction Using Temporal and Spatial Factors.
ICDM
Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Xiao Zhang, Hui Xiong
2018 A* conf
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning.
IJCAI
Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu
2018 — conf
Predicting Smartphone App Usage with Recurrent Neural Networks.
WASA
Shijian Xu, Wenzhong Li, Xiao Zhang, Songcheng Gao, Tong Zhan, Yongzhu Zhao, Wei-wei Zhu, Tianzi Sun
2017 B conf
Ambula: Build Communication Lifeline of Corporations During Emergency.
ICPADS
An Xie, Xiao Zhang, Xiaoliang Wang, Zhuzhong Qian, Sanglu Lu
2017 — conf
Emotion Detection in Online Social Network Based on Multi-label Learning.
DASFAA (1)
Xiao Zhang, Wenzhong Li, Sanglu Lu
2017 J jnl
MoodExplorer: Towards Compound Emotion Detection via Smartphone Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Xiao Zhang, Wenzhong Li, Xu Chen, Sanglu Lu
2017 — conf
Predicting Happiness State Based on Emotion Representative Mining in Online Social Networks.
PAKDD (1)
Xiao Zhang, Wenzhong Li, Hong Huang, Cam-Tu Nguyen, Xu Chen, Xiaoliang Wang, Sanglu Lu
2016 — conf
Academic Paper Recommendation Based on Community Detection in Citation-Collaboration Networks.
APWeb (2)
Qisen Wang, Wenzhong Li, Xiao Zhang, Sanglu Lu
2013 — conf
Fast connection recovery against region failures with landmark-based source routing.
DRCN
Xiaoliang Wang, Xiaohong Jiang, Cam-Tu Nguyen, Xiao Zhang, Sanglu Lu