MORM: A Multi-objective Optimized Replication Management strategy for cloud storage cluster. - Saiqin Long; Yuelong Zhao; Wei Chen (J. Syst. Archit., 2014)

A three-phase energy-saving strategy for cloud storage systems. - Saiqin Long; Yuelong Zhao; Wei Chen (J. Syst. Softw., 2014)

A prediction-based dynamic file assignment strategy for parallel file systems. - Saiqin Long; Yuelong Zhao; Wei Chen; Yuanbin Tang (Parallel Comput., 2015)

PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers. - Ziyu Shen; Xusheng Zhang; Binghui Liu; Bin Xia 003; Zheng Liu 001; Yun Li 009; Saiqin Long (CBD, 2019)

A Reinforcement Learning-Based Virtual Machine Placement Strategy in Cloud Data Centers. - Saiqin Long; Zhetao Li; Yun Xing; Shujuan Tian; Dongsheng Li 001; Rong Yu 001 (HPCC/DSS/SmartCity, 2020)

Energy efficiency evaluation based on QoS parameter specification for cloud systems. - Saiqin Long; Hao Yu; Zhetao Li; Shujuan Tian; Yun Li 009 (HPCC/DSS/SmartCity, 2020)

An Effective Design to Improve the Efficiency of DPUs on FPGA. - Yutian Lei; Qingyong Deng; Saiqin Long; Shaohui Liu; Sangyoon Oh 001 (ICPADS, 2020)

A similarity clustering-based deduplication strategy in cloud storage systems. - Saiqin Long; Zhetao Li; Zihao Liu; Qingyong Deng; Sangyoon Oh 001; Nobuyoshi Komuro (ICPADS, 2020)

A Game-Based Approach for Cost-Aware Task Assignment With QoS Constraint in Collaborative Edge and Cloud Environments. - Saiqin Long; Weifan Long; Zhetao Li; Kenli Li 001; Yuanqing Xia; Zhuo Tang (IEEE Trans. Parallel Distributed Syst., 2021)

Neural Distinguishers on tt TinyJAMBU-128 and tt GIFT-64. - Tao Sun; Dongsu Shen; Saiqin Long; Qingyong Deng; Shiguo Wang (ICONIP (5), 2022)

Energy-efficient VM opening algorithms for real-time workflows in heterogeneous clouds. - Saiqin Long; Xin Dai; Tingrui Pei; Jiasheng Cao; Hiroo Sekiya; Young-June Choi (Neurocomputing, 2022)

Compound adversarial examples in deep neural networks. - Yanchun Li; Zhetao Li; Li Zeng; Saiqin Long; Feiran Huang; Kui Ren 001 (Inf. Sci., 2022)

Learning Feature Channel Weighting for Real-Time Visual Tracking. - Zhetao Li; Jie Zhang 074; Yanchun Li; Jiang Zhu; Saiqin Long; Dengfeng Xue; Longfei Fan (IEEE Trans. Image Process., 2022)

A Global Cost-Aware Container Scheduling Strategy in Cloud Data Centers. - Saiqin Long; Wen Wen; Zhetao Li; Kenli Li 001; Rong Yu 001; Jiang Zhu (IEEE Trans. Parallel Distributed Syst., 2022)

Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing. - Dewen Qiao; Songtao Guo; Defang Liu; Saiqin Long; Pengzhan Zhou; Zhetao Li (IEEE Trans. Parallel Distributed Syst., 2022)

Trajectory Privacy Protection with Pricing Awareness on Ride-on-Demand System. - Sihui Jia; Saiqin Long; Zhirun Zheng; Qingyong Deng; Ping Wang 045; Shujuan Tian (CSCloud/EdgeCom, 2023)

Reliability-Aware VNF Provisioning in Homogeneous and Heterogeneous Multi-access Edge Computing. - Haolin Liu; Zehang Tan; Zhetao Li; Saiqin Long; Shujuan Tian; Xiaoshan Li (ICA3PP (2), 2023)

Deep Feature Aggregation for Lightweight Single Image Super-Resolution. - Yanchun Li; Xinan He; Shujuan Tian; Zhetao Li; Saiqin Long (ICASSP, 2023)

An Efficient Task Offloading Approach Based on Multi-Objective Evolutionary Algorithm in Cloud-Edge Collaborative Environment. - Saiqin Long; Ying Zhang; Qingyong Deng; Tingrui Pei; Jinzhi Ouyang; Zhihua Xia (IEEE Trans. Netw. Sci. Eng., 2023)

Joint Optimization of Request Assignment and Computing Resource Allocation in Multi-Access Edge Computing. - Haolin Liu; Xiaoling Long; Zhetao Li; Saiqin Long; Rong Ran; Hui-Ming Wang 001 (IEEE Trans. Serv. Comput., 2023)

User Preference-Based Hierarchical Offloading for Collaborative Cloud-Edge Computing. - Shujuan Tian; Chi Chang; Saiqin Long; Sangyoon Oh 001; Zhetao Li; Jun Long (IEEE Trans. Serv. Comput., 2023)

Revenue Maximizing Online Service Function Chain Deployment in Multi-Tier Computing Network. - Haolin Liu; Saiqin Long; Zhetao Li; Yu Fu; Yong Zuo; Xinglin Zhang (IEEE Trans. Parallel Distributed Syst., 2023)

Game Theoretical Task Offloading for Profit Maximization in Mobile Edge Computing. - Haojun Teng; Zhetao Li; Kun Cao 001; Saiqin Long; Song Guo 001; Anfeng Liu (IEEE Trans. Mob. Comput., 2023)

A novel coverage-aware task allocation scheme in Cooperative Mobile Crowd Sensing. - Zhetao Li; Zhihui Tan; Saiqin Long; Chengxin Li; Ping Wang 045; Qingyong Deng (Ad Hoc Networks, 2023)

WkNER: Enhancing Named Entity Recognition with Word Segmentation Constraints and kNN Retrieval. - Yanchun Li; Senlin Deng; Dongsu Shen; Shujuan Tian; Saiqin Long (LREC/COLING, 2024)

F-TADOC: FPGA-Based Text Analytics Directly on Compression with HLS. - Yanliang Zhou; Feng Zhang 007; Tuo Lin; Yuanjie Huang; Saiqin Long; Jidong Zhai; Xiaoyong Du 001 (ICDE, 2024)

Joint Optimization of Model Deployment for Freshness-Sensitive Task Assignment in Edge Intelligence. - Haolin Liu; Sirui Liu; Saiqin Long; Qingyong Deng; Zhetao Li (INFOCOM, 2024)

A Parallel Partial Merge Repair Algorithm for Multi-block Failures for Erasure Storage Systems. - Shuaipeng Zhang; Shiyi Li; Chentao Wu; Ruobin Wu; Saiqin Long; Wen Xia (IPDPS, 2024)

Ensemble Graph and Device Clustering Method based on Attention Mechanism for Decomposing Monolithic to Microservices. - Qingyong Deng; Qiuming Li; Qinghua Zuo; Shujuan Tian; Saiqin Long (ISPA, 2024)

Neural differential distinguishers for GIFT-128 and ASCON. - Dongsu Shen; Yijian Song; Yuan Lu 001; Saiqin Long; Shujuan Tian (J. Inf. Secur. Appl., 2024)

Trust Mechanism-Based Multi-Tier Computing System for Service-Oriented Edge-Cloud Networks. - Mingfeng Huang; Zhetao Li; Fu Xiao 001; Saiqin Long; Anfeng Liu (IEEE Trans. Dependable Secur. Comput., 2024)

Data Poisoning Attacks and Defenses to LDP-Based Privacy-Preserving Crowdsensing. - Zhirun Zheng; Zhetao Li; Cheng Huang 001; Saiqin Long; Mushu Li; Xuemin Shen (IEEE Trans. Dependable Secur. Comput., 2024)

Enhancing Sparse Mobile CrowdSensing With Manifold Optimization and Differential Privacy. - Chengxin Li; Saiqin Long; Haolin Liu; Youngjune Choi; Hiroo Sekiya; Zhetao Li (IEEE Trans. Inf. Forensics Secur., 2024)

Q-BLPP: A Quality-Enabled Bilateral Location Privacy-Preserving Service Construction Scheme in Mobile Crowd Sensing. - Jianheng Tang 001; Yishuo Cai; Saiqin Long; Yirui Shen; Kejia Fan; Zhetao Li; Qingyong Deng; Anfeng Liu (IEEE Trans. Serv. Comput., 2024)

Parameter Estimation-Aided Edge Server Selection Mechanism for Edge Task Offloading. - Hai Xue; Di Zhang 002; Celimuge Wu; Yusheng Ji; Saiqin Long; Cheng Wang 034; Takuro Sato (IEEE Trans. Veh. Technol., 2024)

A UAV-Assisted Truth Discovery Approach With Incentive Mechanism Design in Mobile Crowd Sensing. - Ping Wang 045; Zhetao Li; Bin Guo 001; Saiqin Long; Suiming Guo; Jiannong Cao 001 (IEEE/ACM Trans. Netw., 2024)

Location and Bid Privacy Preserving-Based Quality-Aware Worker Recruitment Scheme in MCS. - Weifan Shi; Qingyong Deng; Zhetao Li; Saiqin Long; Haolin Liu; Xiaoyi Pang (IEEE Internet Things J., 2024)

A Trust Evaluation Joint Active Detection Method in Video Sharing D2D Networks. - Zhetao Li; Jianhui Wang; Saiqin Long; Jianming Fu; Min Yang 002; Jian Weng 001 (IEEE Trans. Mob. Comput., 2024)

Seeking in Ride-on-Demand Service: A Reinforcement Learning Model With Dynamic Price Prediction. - Suiming Guo; Baoying Deng; Chao Chen 004; Jintao Ke; Jingyuan Wang 001; Saiqin Long; Ke Xu 002 (IEEE Internet Things J., 2024)

Recruitment From Social Networks for the Cold Start Problem in Mobile Crowdsourcing. - Ping Wang 045; Zhetao Li; Saiqin Long; Jiangtao Wang 001; Zhihui Tan; Haolin Liu (IEEE Internet Things J., 2024)

Robust Data Inference and Cost-Effective Cell Selection for Sparse Mobile Crowdsensing. - Chengxin Li; Zhetao Li; Saiqin Long; Pengpeng Qiao; Ye Yuan 001; Guoren Wang (IEEE/ACM Trans. Netw., 2024)

Multi-UAV-Enabled Collaborative Edge Computing: Deployment, Offloading and Resource Optimization. - Lin Tan 011; Songtao Guo; Pengzhan Zhou; Zhufang Kuang; Saiqin Long; Zhetao Li (IEEE Trans. Intell. Transp. Syst., 2024)

Real-Time Analysis and Message Priority Assignment for TSN-CAN Gateway. - Wufei Wu; Huijuan Huang; Wenhao Li; Ruihua Liu; Yong Xie; Saiqin Long (IEEE Trans. Intell. Transp. Syst., 2024)

Efficient Inference for Pruned CNN Models on Mobile Devices With Holistic Sparsity Alignment. - Yuyang Jin 001; Runxin Zhong; Saiqin Long; Jidong Zhai (IEEE Trans. Parallel Distributed Syst., 2024)

Enabling Efficient Deep Learning on MCU With Transient Redundancy Elimination. - Jiesong Liu; Feng Zhang 007; Jiawei Guan; Hsin-Hsuan Sung; Xiaoguang Guo; Saiqin Long; Xiaoyong Du 001; Xipeng Shen (IEEE Trans. Computers, 2024)

Federated Class-Incremental Learning With Dynamic Feature Extractor Fusion. - Yanyan Lu; Lei Yang 024; Hao-Rui Chen; Jiannong Cao 001; Wanyu Lin; Saiqin Long (IEEE Trans. Mob. Comput., 2024)

Propagation Verification Under Social Relationship Privacy Awareness in Mobile Crowdsourcing. - Ping Wang 045; Saiqin Long; Haolin Liu; Kun Jiang; Qingyong Deng; Zhetao Li (IEEE Trans. Mob. Comput., 2024)

AoI-Guaranteed UAV Crowdsensing: A UGV-assisted deep reinforcement learning approach. - Shoulan Chen; Kaimin Wei; Tingrui Pei; Saiqin Long (Ad Hoc Networks, 2025)

D3QN-based secure scheduling of microservice workflows in cloud environments. - Saiqin Long; Jianfeng Yang; Chongxi Rao; Qingyong Deng; Kun Cao 001 (Comput. Networks, 2025)

Truthful and Dual-Direction Combinatorial Multi-Armed Bandit Scheme to Maximize Profit for Mobile Crowd Sensing. - Xiangwan Fu; Saiqin Long; Anfeng Liu; Ju Ren 001; Bin Guo 001; Zhetao Li (IEEE Trans. Dependable Secur. Comput., 2025)

$MGAP^{3}$MGAP3: Malware Group Attribution Based on PerceiverIO and Polytype Pre-Training. - Yuxia Sun; Shiqi Chen; Song Lin; Aoxiang Sun; Saiqin Long; Zhetao Li (IEEE Trans. Dependable Secur. Comput., 2025)

Pricing Utility vs. Location Privacy: A Differentially Private Data Sharing Framework for Ride-on-Demand Services. - Zhirun Zheng; Zhetao Li; Saiqin Long; Suiming Guo; Chao Chen 004; Ke Xu 002 (IEEE Trans. Dependable Secur. Comput., 2025)

Li-MSA: Power Consumption Prediction of Servers Based on Few-Shot Learning. - Saiqin Long; Yuan Li; Zhetao Li; Guoqi Xie; Weiwei Lin 001; Kenli Li 001 (IEEE Trans. Serv. Comput., 2025)

Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data. - Wentai Wu; Ligang He; Saiqin Long; Ahmed M. Abdelmoniem; Yingliang Wu; Rui Mao 001 (CoRR, 2025)

Defending Data Poisoning Attacks in DP-Based Crowdsensing: A Game-Theoretic Approach. - Zhirun Zheng; Zhetao Li; Cheng Huang 001; Saiqin Long; Xuemin Shen (IEEE Trans. Mob. Comput., 2025)

User-Driven Privacy-Preserving Data Streams Release for Multi-Task Assignment in Mobile Crowdsensing. - Zhetao Li; Junru Wu; Saiqin Long; Zhirun Zheng; Chengxin Li; Mianxiong Dong (IEEE Trans. Mob. Comput., 2025)

FedLFP: Communication-Efficient Personalized Federated Learning on Non-IID Data in Mobile Edge Computing Environments. - Yuxia Sun; Siyi Pan; Aoxiang Sun; Zhixiao Fu; Saiqin Long; Zhetao Li (IEEE Trans. Mob. Comput., 2025)