An Improved Particle Swarm Optimization Algorithm Based on Adaptive Weight for Task Scheduling in Cloud Computing. - Fei Luo 002; Ye Yuan; Weichao Ding; Haifeng Lu (CSAE, 2018)

A Natural Scene Edge Detection Algorithm Based on Image Fusion. - Weichao Ding; Zhile Yang; Liangbing Feng (ICVIP, 2018)

DFA-VMP: An efficient and secure virtual machine placement strategy under cloud environment. - Weichao Ding; Chunhua Gu; Fei Luo 002; Yaohui Chang; Ulysse Rugwiro; Xiaoke Li; Geng Wen (Peer-to-Peer Netw. Appl., 2018)

An Improved NSGAII Algorithm Based on Site-Directed Mutagenesis Method for Multi-Objective Optimization. - Qiang Ren; Fei Luo 002; Weichao Ding; Haifeng Lu (SSCI, 2019)

QARPF: A QoS-Aware Active Resource Provisioning Framework Based on OpenStack. - Weichao Ding; Fei Luo 002; Chunhua Gu; Haifeng Lu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

基于败者组与混合编码策略的NSGA-II改进算法 (Improved NSGA-II Algorithm Based on Loser Group and Hybrid Coding Strategy). - Xinping Liu; Chunhua Gu; Fei Luo 002; Weichao Ding (计算机科学, 2019)

强化学习下能耗优化的虚拟机放置策略 (Virtual Machine Placement Strategy with Energy Consumption Optimization under Reinforcement Learning). - Haifeng Lu; Chunhua Gu; Fei Luo 002; Weichao Ding; Ye Yuan; Qiang Ren (计算机科学, 2019)

基于最小松弛量的启发式一维装箱算法 (Heuristic One-dimensional Bin Packing Algorithm Based on Minimum Slack). - Fei Luo 002; Qiang Ren; Weichao Ding; Haifeng Lu (计算机科学, 2019)

Research on the Key Technology and Performance Analysis of SOME/IP. - Yifeng Zhang; Weichao Ding; Zeping Yang; Qin Zhou (EITCE, 2020)

Performance-to-Power Ratio Aware Resource Consolidation Framework Based on Reinforcement Learning in Cloud Data Centers. - Weichao Ding; Fei Luo 002; Chunhua Gu; Haifeng Lu; Qin Zhou (IEEE Access, 2020)

Optimization of Task Offloading Strategy for Mobile Edge Computing Based on Multi-Agent Deep Reinforcement Learning. - Haifeng Lu; Chunhua Gu; Fei Luo 002; Weichao Ding; Shuai Zheng; Yifan Shen (IEEE Access, 2020)

Adaptive virtual machine consolidation framework based on performance-to-power ratio in cloud data centers. - Weichao Ding; Fei Luo 002; Liangxiu Han; Chunhua Gu; Haifeng Lu; Joel Fuentes (Future Gener. Comput. Syst., 2020)

Optimization of lightweight task offloading strategy for mobile edge computing based on deep reinforcement learning. - Haifeng Lu; Chunhua Gu; Fei Luo 002; Weichao Ding; Xinping Liu (Future Gener. Comput. Syst., 2020)

An Opposition-Based Learning CRO Algorithm for Solving the Shortest Common Supersequence Problem. - Fei Luo 002; Cheng Chen; Joel Fuentes; Yong Li; Weichao Ding (Entropy, 2022)

An Edge Server Placement Method Based on Reinforcement Learning. - Fei Luo 002; Shuai Zheng; Weichao Ding; Joel Fuentes; Yong Li (Entropy, 2022)

A Soar-Based Space Exploration Algorithm for Mobile Robots. - Fei Luo 002; Qin Zhou; Joel Fuentes; Weichao Ding; Chunhua Gu (Entropy, 2022)

A Multi-hashing Index for hybrid DRAM-NVM memory systems. - Yong Li; Lingfang Zeng; Guang Chen; Chunhua Gu; Fei Luo 002; Weichao Ding; Zhan Shi; Joel Fuentes (J. Syst. Archit., 2022)

Cross on Cross Attention: Deep Fusion Transformer for Image Captioning. - Jing Zhang 041; Yingshuai Xie; Weichao Ding; Zhe Wang 002 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Semantic alignment with self-supervision for class incremental learning. - Zhiling Fu; Zhe Wang 002; Xinlei Xu; Mengping Yang; Ziqiu Chi; Weichao Ding (Knowl. Based Syst., 2023)

Discriminative sparse subspace learning with manifold regularization. - Wenyi Feng; Zhe Wang 002; Xiqing Cao; Bin Cai; Wei Guo 023; Weichao Ding (Expert Syst. Appl., 2024)

M-DETR: Multi-scale DETR for Optical Music Recognition. - Fei Luo 002; Yifan Dai; Joel Fuentes; Weichao Ding; Xueqin Zhang (Expert Syst. Appl., 2024)

Communication-efficient federated learning via personalized filter pruning. - Qi Min; Fei Luo 002; Wenbo Dong; Chunhua Gu; Weichao Ding (Inf. Sci., 2024)

Object aroused emotion analysis network for image sentiment analysis. - Jing Zhang 041; Jiangpei Liu; Weichao Ding; Zhe Wang 002 (Knowl. Based Syst., 2024)

A Multiagent Meta-Based Task Offloading Strategy for Mobile-Edge Computing. - Weichao Ding; Fei Luo 002; Chunhua Gu; Zhiming Dai; Haifeng Lu (IEEE Trans. Cogn. Dev. Syst., 2024)

FedBKT: Federated Learning with Model Heterogeneity via Bidirectional Knowledge Transfer with Mediator Model. - Qi Min; Hui Wang; Peng Jia; Yuan Qiu 006; Chunhua Gu; Weichao Ding (ICIC (10), 2025)

Multi-modal self-supervised contrastive representation learning for three-dimensional point cloud understanding. - Weichao Ding; Zehao Yang; Fei Luo 002; Chunhua Gu; Wenbo Dong (Eng. Appl. Artif. Intell., 2025)

Chemical reaction-inspired dual-population co-evolutionary algorithm for many-objective optimization. - Weichao Ding; Mingshan Chen; Wenbo Dong; Fei Luo 002; Chunhua Gu (Expert Syst. Appl., 2025)

A review on multi-focus image fusion using deep learning. - Fei Luo 002; Baojun Zhao; Joel Fuentes; Xueqin Zhang; Weichao Ding; Chunhua Gu; Luis Rojas Pino (Neurocomputing, 2025)

Bidirectional domain transfer knowledge distillation for catastrophic forgetting in federated learning with heterogeneous data. - Qi Min; Fei Luo 002; Wenbo Dong; Chunhua Gu; Weichao Ding (Knowl. Based Syst., 2025)

Plant-Wide Distributed Adaptive Probability Density Analysis Method for Incipient Fault Detection. - Yang Tao; Min Chen; Hongbo Shi; Bing Song; Shuai Tan; Weichao Ding (IEEE Trans. Instrum. Meas., 2025)

MA-MFIF: When misaligned multi-focus Image fusion meets deep homography estimation. - Baojun Zhao; Fei Luo 002; Joel Fuentes; Weichao Ding; Chunhua Gu (Multim. Tools Appl., 2025)