An Improved Algorithm for Eleman Neural Network by Adding a Modified Error Function. - Zhiqiang Zhang; Zheng Tang; GuoFeng Tang; Catherine Vairappan; XuGang Wang; Runqun Xiong (ISNN (2), 2007)

An Effective Replica Location Algorithm Based on Routing-Forward in Data Grid. - Runqun Xiong; Junzhou Luo; Aibo Song (ChinaGrid, 2010)

BAR: An Efficient Data Locality Driven Task Scheduling Algorithm for Cloud Computing. - Jiahui Jin; Junzhou Luo; Aibo Song; Fang Dong 001; Runqun Xiong (CCGRID, 2011)

QoS Preference-Aware Replica Selection Strategy Using MapReduce-Based PGA in Data Grids. - Runqun Xiong; Junzhou Luo; Aibo Song; Bo Liu 004; Fang Dong 001 (ICPP, 2011)

SLDP: A Novel Data Placement Strategy for Large-Scale Heterogeneous Hadoop Cluster. - Runqun Xiong; Junzhou Luo; Fang Dong 001 (CBD, 2014)

Optimizing data placement in heterogeneous Hadoop clusters. - Runqun Xiong; Junzhou Luo; Fang Dong 001 (Clust. Comput., 2015)

ECStor: A Flexible Enterprise-Oriented Cloud Storage System Based on GlusterFS. - Pengcheng Zhou; Fang Dong 001; Zhuqing Xu; Junxue Zhang 001; Runqun Xiong; Junzhou Luo (CBD, 2016)

A Cost-Efficient Data Placement Algorithm with High Reliability in Hadoop. - Yao Du; Runqun Xiong; Jiahui Jin; Junzhou Luo (CBD, 2017)

A Distributed Approach for Constructing Generalized Suffix Tree on Spark by Using Optimized Elastic Range Algorithm. - Yunhao Li; Jiahui Jin; Runqun Xiong; Junzhou Luo (CBD, 2017)

Virtual network fault diagnosis mechanism based on fault injection. - Huanhuan Zhang; Fang Dong 001; Dian Shen; Runqun Xiong; Jiahui Jin (CSCWD, 2017)

An Effective Model for Edge-Side Collaborative Storage in Data-Intensive Edge Computing. - Yunhao Li; Junzhou Luo; Jiahui Jin; Runqun Xiong; Fang Dong 001 (CSCWD, 2018)

HirePool: Optimizing Resource Reuse Based on a Hybrid Resource Pool in the Cloud. - Runqun Xiong; Xiuyang Li; Jiyuan Shi; Zhiang Wu 001; Jiahui Jin (IEEE Access, 2018)

HaDaap: A hotness-aware data placement strategy for improving storage efficiency in heterogeneous Hadoop clusters. - Runqun Xiong; Yao Du; Jiahui Jin; Junzhou Luo (Concurr. Comput. Pract. Exp., 2018)

COAST: A Cooperative Storage Framework for Mobile Transparent Computing Using Device-to-Device Data Sharing. - Jiahui Jin; Junzhou Luo; Yunhao Li; Runqun Xiong (IEEE Netw., 2018)

DroneTank: Planning UAVs' Flights and Sensors' Data Transmission under Energy Constraints. - Runqun Xiong; Feng Shan (Sensors, 2018)

QAECN: Dynamically Tuning ECN Threshold with Micro-burst in Multi-queue Data Centers. - Kexi Kang; Jinghui Zhang; Jiahui Jin; Dian Shen; Runqun Xiong; Junzhou Luo (CSCWD, 2019)

Fault Diagnosis for the Virtualized Network in the Cloud Environment using Reinforcement Learning. - Tao Xu; Dian Shen; Huanhuan Zhang; Runqun Xiong; Jiahui Jin (SmartCloud, 2019)

Rendering differential performance preference through intelligent network edge in cloud data centers. - Dian Shen; Pengcheng Zhou; Yidan Gao; Xiaolin Guo; Runqun Xiong (Concurr. Comput. Pract. Exp., 2019)

Looking before Crossing: An Optimal Algorithm to Minimize UAV Energy by Speed Scheduling with a Practical Flight Energy Model. - Feng Shan; Junzhou Luo; Runqun Xiong; Wenjia Wu; Jiashuo Li (INFOCOM, 2020)

Energy-Efficient UAV Flight Planning for a General PoI-Visiting Problem with a Practical Energy Model. - Jianping Huang; Feng Shan; Runqun Xiong; Yuchao Shao; Junzhou Luo (ICCCN, 2021)

Revenue Maximization of Electric Vehicle Charging Services with Hierarchical Game. - Biwei Wu; Xiaoxuan Zhu; Xiang Liu 014; Jiahui Jin; Runqun Xiong; Weiwei Wu 001 (WASA (2), 2021)

AirBC: A Lightweight Reputation-based Blockchain Scheme for Resource-constrained UANET. - Zhoujie Wang; Runqun Xiong; Jiahui Jin; Chuan Liang (CSCWD, 2022)

X-MAC: Achieving High Scalability via Imperfect-Orthogonality Aware Scheduling in LPWAN. - Zhuqing Xu; Junzhou Luo; Zhimeng Yin 001; Shuai Wang 008; Ciyuan Chen; Jingkai Lin; Runqun Xiong; Tian He 001 (ICNP, 2022)

LoRaDrone: Enabling Low-Power LoRa Data Transmission via a Mobile Approach. - Ciyuan Chen; Junzhou Luo; Zhuqing Xu; Runqun Xiong; Zhimeng Yin 001; Jingkai Lin; Dian Shen (MSN, 2022)

Adaptive chaotic equilibrium optimiser. - Lin Yang; Jiayi Li; Runqun Xiong; Yuki Todo; Shangce Gao (Int. J. Bio Inspired Comput., 2022)

High-efficient Joinable Tables Discovery in Data Lakes: A Grey Relational Model-based Approach. - Zefan Yu; Runqun Xiong; Fang Dong 001; Zhiang Wu 001 (CBD, 2023)

Secure Data Sharing for Cross-domain Industrial IoT Based on Consortium Blockchain. - Xinze Yu; Yunzhou Xie; Qiujie Xu; Zhuqing Xu; Runqun Xiong (CSCWD, 2023)

When you were old: Exploring a Virtual Reality Older Adults Experience Simulation System. - Zicheng Liu; Ding Ding 002; Yuchen Zheng; Zhuying Li; Runqun Xiong (SMC, 2023)

FlyingLoRa: Towards energy efficient data collection in UAV-assisted LoRa networks. - Runqun Xiong; Chuan Liang; Huajun Zhang; Xiangyu Xu 001; Junzhou Luo (Comput. Networks, 2023)

SBHA: An undetectable black hole attack on UANET in the sky. - Runqun Xiong; Lan Xiong; Feng Shan; Junzhou Luo (Concurr. Comput. Pract. Exp., 2023)

Pareto Dominance Archive and Coordinated Selection Strategy-Based Many-Objective Optimizer for Protein Structure Prediction. - Zhiming Zhang; Shangce Gao; Zhenyu Lei 002; Runqun Xiong; Jiujun Cheng (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

CH-MAC: Achieving Low-latency Reliable Communication via Coding and Hopping in LPWAN. - Junzhou Luo; Zhuqing Xu; Jingkai Lin; Ciyuan Chen; Runqun Xiong (ACM Trans. Internet Things, 2023)

Energy-Efficient General PoI-Visiting by UAV With a Practical Flight Energy Model. - Feng Shan; Jianping Huang; Runqun Xiong; Fang Dong 001; Junzhou Luo; Suyang Wang (IEEE Trans. Mob. Comput., 2023)

Enabling large-scale low-power LoRa data transmission via multiple mobile LoRa gateways. - Ciyuan Chen; Junzhou Luo; Zhuqing Xu; Runqun Xiong; Dian Shen; Zhimeng Yin 001 (Comput. Networks, 2023)

Hierarchical Global Asynchronous Federated Learning Across Multi-Center. - Wei Xie; Runqun Xiong; Junzhou Luo (ACML, 2024)

Future Blink Prediction in Virtual Reality Using Time-Series Eye Movement Data. - Wenjie Zhang; Ding Ding 002; Jinghui Zhang; Runqun Xiong; Jiahui Jin; Fang Dong 001; Xiangyu Xu 001; Kai Dong 002 (CBD, 2024)

Achieving Low Queueing Latency in Time-Slotted LoRa Networks. - Ciyuan Chen; Junzhou Luo; Dian Shen; Zhuqing Xu; Runqun Xiong (CSCWD, 2024)

Lmlora: Enhancing Link Performance for Mobile Lora Networks. - Ciyuan Chen; Zhuqing Xu; Xiaohua Jia; Jingkai Lin; Runqun Xiong; Dian Shen; Xirui Dong; Junzhou Luo (ICNP, 2024)

Multi-Node Concurrent Localization in LoRa Networks: Optimizing Accuracy and Efficiency. - Jingkai Lin; Runqun Xiong; Zhuqing Xu; Wei Tian; Ciyuan Chen; Xirui Dong; Junzhou Luo (INFOCOM, 2024)

Leveraging lightweight blockchain for secure collaborative computing in UAV Ad-Hoc Networks. - Runqun Xiong; Qing Xiao; Zhoujie Wang; Zhuqing Xu; Feng Shan (Comput. Networks, 2024)

Federated variational generative learning for heterogeneous data in distributed environments. - Wei Xie; Runqun Xiong; Jinghui Zhang; Jiahui Jin; Junzhou Luo (J. Parallel Distributed Comput., 2024)

Leveraging Imperfect-Orthogonality Aware Scheduling for High Scalability in LPWAN. - Zhuqing Xu; Junzhou Luo; Zhimeng Yin 001; Shuai Wang 008; Ciyuan Chen; Jingkai Lin; Runqun Xiong; Tian He 001 (IEEE Trans. Mob. Comput., 2024)

APO-PFL: Optimizing Model Aggregation in Personalized Federated Learning with Aligned PPO. - Wei Xie; Runqun Xiong; Junzhou Luo (CSCWD, 2025)

Enhancing trust and collaboration: A reputation-driven mechanism for cross-chain IoT data sharing. - Runqun Xiong; Jing Cheng; Jiahang Pu; Xirui Dong; Ciyuan Chen; Zhuqing Xu (Comput. Networks, 2025)

Optimal adaptive scheduling to maximize throughput for battery constrained time-varying RF-powered systems. - Fangyu Zhou; Feng Shan; Weiwei Wu 001; Runqun Xiong; Junzhou Luo (Comput. Networks, 2025)

Leveraging Consortium Blockchain for Secure Cross-Domain Data Sharing in Supply Chain Networks. - Runqun Xiong; Jing Cheng; Xirui Dong; Jiahang Pu; Feng Shan (IEEE Trans. Serv. Comput., 2025)

Multi-AAV-Assisted On-Demand Charging in Dense Wireless Rechargeable Sensor Networks. - Runqun Xiong; Ciyuan Chen; Jiajun Xu; Xirui Dong; Jiahang Pu (IEEE Internet Things J., 2025)

Improve global generalization for personalized federated learning within a Stackelberg game. - Wei Xie; Runqun Xiong; Junzhou Luo (Mach. Learn., 2025)