A storage approach for OpenFlow switch based on Protocol Oblivious Forwarding. - Jinghong Wu; Hong Ni; Xuewen Zeng; Li Ding; Xiaozhou Ye (ISCC, 2016)

Goodput guaranteed buffer management strategy for streaming data with packet dependencies. - Jinghong Wu; Hong Ni; Xuewen Zeng; Xiaozhou Ye (ISCC, 2016)

Optimal Buffer Management Strategy for Minimizing Delivery Latency of Streaming Data with Packet Dependencies. - Jinghong Wu; Hong Ni; Xuewen Zeng; Xiaozhou Ye (IEICE Trans. Commun., 2016)

Malware traffic classification using convolutional neural network for representation learning. - Wei Wang 137; Ming Zhu; Xuewen Zeng; Xiaozhou Ye; Yiqiang Sheng (ICOIN, 2017)

Fast Montgomery Modular Multiplication and Squaring on Embedded Processors. - Yang Li; Jinlin Wang 001; Xuewen Zeng; Xiaozhou Ye (IEICE Trans. Commun., 2017)

Protocol-Aware Packet Scheduling Algorithm for Multi-Protocol Processing in Multi-Core MPL Architecture. - Runzi Zhang; Jinlin Wang 001; Yiqiang Sheng; Xiao Chen; Xiaozhou Ye (IEICE Trans. Inf. Syst., 2017)

EDW-voting: Robust realtime traffic classification combined with flow side information. - Runzi Zhang; Jinlin Wang 001; Xiao Chen; Xiaozhou Ye (ICACI, 2018)

Service Differentiation Strategy Based on User Demands for Https Web Servers. - Lu Yan; Haojiang Deng; Xiao Chen; Xiaozhou Ye (SERA, 2018)

HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection. - Wei Wang 137; Yiqiang Sheng; Jinlin Wang 001; Xuewen Zeng; Xiaozhou Ye; Yongzhong Huang; Ming Zhu (IEEE Access, 2018)

A delegation token-based method to authenticate the third party in TLS. - Lu Yan; Xiao Chen; Haojiang Deng; Xiaozhou Ye (Int. J. High Perform. Comput. Netw., 2019)

Accelerating convolutional neural network-based malware traffic detection through ant-colony clustering. - He Huang; Haojiang Deng; Yiqiang Sheng; Xiaozhou Ye (J. Intell. Fuzzy Syst., 2019)

Influence of Pseudorange Biases on Single Epoch GNSS Integer Ambiguity Resolution. - Xiaozhou Ye; Wei Xiao; Wenxiang Liu; Shaojie Ni; Feixue Wang (IEEE Access, 2020)

TTERCL: An onSite Real-time Alarm Root-Cause Location Algorithm. - Jianbing Ding; Xidong Wang; Xiaozhou Ye; Ye Ouyang; Yuanyuan Chai (IEEE BigData, 2021)

A Methodology of Trusted Data Sharing across Telecom and Finance Sector under China's Data Security Policy. - Yuxin Liang; Zhiyong Liu; Yong Song; Aidong Yang; Xiaozhou Ye; Ye Ouyang (IEEE BigData, 2021)

RepRetinaFace: Re-Parameterization RetinaFace for Edge Embedded Platform. - Zhenjun He; Le Jiang; Jian Chen; Xiaozhou Ye; Ye Ouyang (ICCT, 2021)

Federated Learning Application on Telecommunication-Joint Healthcare Recommendation. - Yong Song; Yuchen Xie; Hongwei Zhang; Yuxin Liang; Xiaozhou Ye; Aidong Yang; Ye Ouyang (ICCT, 2021)

Federated Learning with Clustering-Based Participant Selection for IoT Applications. - Kevin I-Kai Wang; Xiaozhou Ye; Kouichi Sakurai (IEEE Big Data, 2022)

A Chinese Business License Text Detection Algorithm Based On Multi-Scale Features. - Xingxing Sun; Mohan Wu; Boquan Cheng; Aidong Yang; Xiaozhou Ye; Ye Ouyang (IICAIET, 2022)

Brisk-Yolo: A Lightweight Object Detection Algorithm for Edge Devices. - Yang Liu 165; Le Jiang; Guoming Li; Yunxin Liu 001; Xiaozhou Ye; Ye Ouyang; Aidong Yang (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Self-distilled Named Entity Recognition Based on Boundary Detection and Biaffine Attention. - Yong Song; Zhiwei Yan; Yukun Qin; Xiaozhou Ye; Ye Ouyang (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

4G 5G Cell-level Multi-indicator Forecasting based on Dense-MLP. - Jiacheng Yin; Wenwen Li; Xidong Wang; Xiaozhou Ye; Ye Ouyang (CoRR, 2022)

Reinforcement Learning in Computing and Network Convergence Orchestration. - Aidong Yang; Mohan Wu; Boquan Cheng; Xiaozhou Ye; Ye Ouyang (CoRR, 2022)

Vertical Federated Learning. - Yang Liu 165; Yan Kang 001; Tianyuan Zou; Yanhong Pu; Yuanqin He; Xiaozhou Ye; Ye Ouyang; Ya-Qin Zhang; Qiang Yang 001 (CoRR, 2022)

Sidelobes Suppression for Time Domain Anti-Jamming of Satellite Navigation Receivers. - Wenxiang Liu; Zukun Lu; Zhiying Wang; Xianghao Li; Zongnan Li; Wei Xiao; Xiaozhou Ye; Zhi Wang; Jie Song; Jia Qiao; Baiyu Li (Remote. Sens., 2022)

Applying Multiple-Correlations of Network to Cell Traffic Forecasting. - Wenwen Li; Mingjie Liao; Xidong Wang; Yun Li; Xiaozhou Ye; Ye Ouyang (GLOBECOM, 2023)

An Efficient Multi-Agent Optimization Approach for Coordinated Massive MIMO Beamforming. - Li Jiang 008; Xiangsen Wang; Aidong Yang; Xidong Wang; Xiaojia Jin; Wei Wang; Xiaozhou Ye; Ye Ouyang; Xianyuan Zhan (ICC, 2023)

The First Decade of Computing and Network Convergence. - Ye Ouyang; Xiaozhou Ye; Jie Sun; Yunxin Liu 001; Yaqin Zhang (ICC, 2023)

A Proposal-Improved Few-Shot Embedding Model with Contrastive Learning. - Fucai Gong; Yuchen Xie; Le Jiang; Keming Chen; Yunxin Liu 001; Xiaozhou Ye; Ye Ouyang (MMM (2), 2023)

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments. - Hao Wen 004; Yuanchun Li; Zunshuai Zhang; Shiqi Jiang; Xiaozhou Ye; Ye Ouyang; Yaqin Zhang; Yunxin Liu 001 (MobiCom, 2023)

Cross-User Activity Recognition via Temporal Relation Optimal Transport. - Xiaozhou Ye; Kevin I-Kai Wang (MobiQuitous (1), 2023)

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments. - Hao Wen 004; Yuanchun Li; Zunshuai Zhang; Shiqi Jiang; Xiaozhou Ye; Ye Ouyang; Ya-Qin Zhang; Yunxin Liu 001 (CoRR, 2023)

6G Network Operation Support System. - Ye Ouyang; Yaqin Zhang; Xiaozhou Ye; Yunxin Liu 001; Xidong Wang; Jie Sun; Yang Liu 165; Shoufeng Wang; Sen Bian; Yun Li (CoRR, 2023)

AIGC Empowering Telecom Sector White Paper_chinese. - Ye Ouyang; Yaqin Zhang; Xiaozhou Ye; Yunxin Liu 001; Yong Song; Yang Liu 165; Sen Bian; Zhiyong Liu (CoRR, 2023)

Hierarchical Federated Learning With Social Context Clustering-Based Participant Selection for Internet of Medical Things Applications. - Xiaokang Zhou; Xiaozhou Ye; Kevin I-Kai Wang; Wei Liang 006; Nirmal-Kumar C. Nair; Shohei Shimizu; Zheng Yan 002; Qun Jin (IEEE Trans. Comput. Soc. Syst., 2023)

SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget. - Rui Kong; Yuanchun Li; Qingtian Feng; Weijun Wang 001; Xiaozhou Ye; Ye Ouyang; Linghe Kong; Yunxin Liu 001 (ACL (1), 2024)

Defending Against Inference and Backdoor Attacks in Vertical Federated Learning via Mutual Information Regularization. - Tianyuan Zou; Yang Liu 165; Xiaozhou Ye; Ye Ouyang; Ya-Qin Zhang (IEEE Big Data, 2024)

SC-Telco RAG: Enhancing RAG through Structured Contexts in Telecommunications. - Junjie Du; Jianbing Ding; Jingyi Li; Xidong Wang; Xiaozhou Ye; Ye Ouyang (GLOBECOM (Workshops), 2024)

A Weakly Supervised Part Detection Method for Robust Fine-Grained Classification. - Yang Liu 165; Le Jiang; Guoming Li; Xiaozhou Ye; Ye Ouyang (ICANN (2), 2024)

Multi-Teacher Distillation for Incremental Object Detection. - Le Jiang; Hongqiang Cheng; Xiaozhou Ye; Ye Ouyang (ICASSP, 2024)

Data-Driven MoE: A Data-Driven Approach to Construct MoE by a Single LLM. - Zeyu Teng; Zhiwei Yan; Yong Song; Xiaozhou Ye; Ye Ouyang (ICIC (LNAI 4), 2024)

Fine-Tuning LLMs for Multi-Turn Dialogues: Optimizing Cross-Entropy Loss with KL Divergence for All Rounds of Responses. - Zeyu Teng; Yong Song; Xiaozhou Ye; Ye Ouyang (ICMLC, 2024)

Multi-task Learning Model for Location Estimation Using RSSI of Wireless LAN in NLoS Environment. - Zehui Wei; Jianbing Ding; Zening Wang; Xidong Wang; Xiaozhou Ye; Ye Ouyang (ICMLC, 2024)

Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition. - Xiaozhou Ye; Kevin I-Kai Wang (CoRR, 2024)

Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity - A Review. - Xiaozhou Ye; Kouichi Sakurai; Nirmal-Kumar C. Nair; Kevin I-Kai Wang (CoRR, 2024)

Cross-user activity recognition using deep domain adaptation with temporal relation information. - Xiaozhou Ye; Waleed H. Abdulla; Nirmal-Kumar C. Nair; Kevin I-Kai Wang (CoRR, 2024)

Deep Generative Domain Adaptation with Temporal Attention for Cross-User Activity Recognition. - Xiaozhou Ye; Kevin I-Kai Wang (CoRR, 2024)

Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred Learning. - Xiaozhou Ye; Kevin I-Kai Wang (CoRR, 2024)

Deep generative domain adaptation with temporal relation attention mechanism for cross-user activity recognition. - Xiaozhou Ye; Kevin I-Kai Wang (Pattern Recognit., 2024)

An Ephemeris for Cruisable UAV Pseudolite Navigation System Based on Deep Learning Networks. - Xin Yang; Wenxiang Liu; Wei Xiao; Xiaozhou Ye; Zongnan Li; Feixue Wang (IEEE Trans. Aerosp. Electron. Syst., 2024)

Vertical Federated Learning: Concepts, Advances, and Challenges. - Yang Liu 165; Yan Kang 001; Tianyuan Zou; Yanhong Pu; Yuanqin He; Xiaozhou Ye; Ye Ouyang; Ya-Qin Zhang; Qiang Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Confusion-Aware Prototypical Contrastive Learning for Open-Vocabulary Object Detection. - Hongqiang Cheng; Le Jiang; Guoming Li; Xiaozhou Ye; Ye Ouyang (ICASSP, 2025)

A Nested Zeroth-Order Fine-Tuning Approach for Cloud-Edge LLM Agents. - Ya Liu 005; Kai Yang 001; Yu Zhu; Keying Yang; Chengtao Jian; Wuguang Ni; Xiaozhou Ye; Ye Ouyang (PAKDD (5), 2025)

A goal-oriented document-grounded dialogue based on evidence generation. - Yong Song; Hongjie Fan; Junfei Liu; Yunxin Liu 001; Xiaozhou Ye; Ye Ouyang (Data Knowl. Eng., 2025)

Adversarial domain adaptation for cross-user activity recognition via noise diffusion model. - Xiaozhou Ye; Kevin I-Kai Wang (Knowl. Based Syst., 2025)

Cross-User Activity Recognition Using Deep Domain Adaptation With Temporal Dependency Information. - Xiaozhou Ye; Kevin I-Kai Wang (IEEE Trans. Instrum. Meas., 2025)

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion. - Tianyuan Zou; Yang Liu 165; Peng Li; Yufei Xiong; Jianqing Zhang; Jingjing Liu; Xiaozhou Ye; Ye Ouyang; Ya-Qin Zhang (CoRR, 2025)

6G autonomous radio access network empowered by artificial intelligence and network digital twin. - Guangyi Liu 001; Juan Deng; Yanhong Zhu; Na Li; Boxiao Han; Shoufeng Wang; Hua Rui; Jingyu Wang 001; Jianhua Zhang 001; Ying Cui; Yingping Cui; Yang Yang 001; et al. (Frontiers Inf. Technol. Electron. Eng., 2025)

Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks. - Yang Liu 165; Bingjie Yan; Tianyuan Zou; Jianqing Zhang; Zixuan Gu; Jianbing Ding; Xidong Wang; Jingyi Li; Xiaozhou Ye; Ye Ouyang; Qiang Yang 001; Ya-Qin Zhang (CoRR, 2025)

Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition. - Xiaozhou Ye; Kevin I-Kai Wang (CoRR, 2025)

LLM-Explorer: Towards Efficient and Affordable LLM-based Exploration for Mobile Apps. - Shanhui Zhao; Hao Wen 004; Wenjie Du 004; Cheng Liang; Yunxin Liu 001; Xiaozhou Ye; Ye Ouyang; Yuanchun Li (CoRR, 2025)

Graph-Based Adversarial Domain Generalization with Anatomical Correlation Knowledge for Cross-User Human Activity Recognition. - Xiaozhou Ye; Kevin I-Kai Wang (CoRR, 2025)

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization. - Kai Yang 001; Zelin Zhu; Chengtao Jian; Hui Ma; Shengjie Zhao 001; Xiaozhou Ye; Ye Ouyang (CoRR, 2025)

Stable Preference Optimization for LLMs: A Bilevel Approach Beyond Direct Preference Optimization. - Chengtao Jian; Kai Yang 001; Ye Ouyang; Xiaozhou Ye (CoRR, 2025)