A Novel Mixed-Variable Fireworks Optimization Algorithm for Path and Time Sequence Optimization in WRSNs. - Chengkai Xia; Zhenchun Wei; Zengwei Lyu; Liangliang Wang; Fei Liu 038; Lin Feng 004 (ChinaCom, 2018)

Reinforcement Learning for a Novel Mobile Charging Strategy in Wireless Rechargeable Sensor Networks. - Zhenchun Wei; Fei Liu 038; Zengwei Lyu; Xu Ding 001; Lei Shi 011; Chengkai Xia (WASA, 2018)

A Multi-Grouped LS-SVM Method for Short-Term Urban Traffic Flow Prediction. - Fei Liu 038; Zhenchun Wei; Zhensheng Huang; Yang Lu 015; Xuegang Hu; Lei Shi 011 (GLOBECOM, 2019)

K-CHRA: A Clustering Hierarchical Routing Algorithm for Wireless Rechargeable Sensor Networks. - Zhenchun Wei; Fei Liu 038; Xu Ding 001; Lin Feng 004; Zengwei Lyu; Lei Shi 011; Jianjun Ji (IEEE Access, 2019)

A Q-learning algorithm for task scheduling based on improved SVM in wireless sensor networks. - Zhenchun Wei; Fei Liu 038; Yan Zhang 058; Juan Xu 003; Jianjun Ji; Zengwei Lyu (Comput. Networks, 2019)

A Novel On-Demand Charging Strategy Based on Swarm Reinforcement Learning in WRSNs. - Zhen Wei; Meng Li 018; Zhenchun Wei; Lei Cheng; Zengwei Lyu; Fei Liu 038 (IEEE Access, 2020)

Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study. - Chenyang Bu; Yi Lu; Fei Liu 038 (PRICAI (1), 2021)

DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing. - Rui Luo; Fei Liu 038; Wenhao Liang; Yuhong Zhang 002; Chenyang Bu; Xuegang Hu (ICONIP (2), 2022)

APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. - Haotian Zhang; Chenyang Bu; Fei Liu 038; Shuochen Liu; Yuhong Zhang 002; Xuegang Hu (PRICAI (1), 2022)

Evolutionary Algorithms with Heuristic Gradient-based Repair for Constrained Optimization. - Jiacheng Du; Chenyang Bu; Yuxin Liu; Fei Liu 038; Wenjian Luo (SMC, 2022)

Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application. - Shuai Sun; Xuegang Hu; Chenyang Bu; Fei Liu 038; Yuhong Zhang 002; Wenjian Luo (ICSI (1), 2022)

Fuzzy Bayesian Knowledge Tracing. - Fei Liu 038; Xuegang Hu; Chenyang Bu; Kui Yu (IEEE Trans. Fuzzy Syst., 2022)

Meta Multi-agent Exercise Recommendation: A Game Application Perspective. - Fei Liu 038; Xuegang Hu; Shuochen Liu; Chenyang Bu; Le Wu (KDD, 2023)

Cognitive Diagnostic Model Made More Practical by Genetic Algorithm. - Chenyang Bu; Fei Liu 038; Zhiyong Cao; Lei Li 002; Yuhong Zhang 002; Xuegang Hu; Wenjian Luo (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

MMIEA: Multi-modal Interaction Entity Alignment model for knowledge graphs. - Bin Zhu; Meng Wu 004; Yunpeng Hong; Yi Chen; Bo Xie; Fei Liu 038; Chenyang Bu; Weiping Ding 001 (Inf. Fusion, 2023)

PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs. - Shengwei Ji; Yujie Tian; Fei Liu 038; Xinlu Li; Le Wu (CoRR, 2024)

Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis. - Fei Liu 038; Yizhong Zhang; Shuochen Liu; Shengwei Ji; Kui Yu; Le Wu (CoRR, 2024)

FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. - Fei Liu 038; Chenyang Bu; Haotian Zhang; Le Wu; Kui Yu; Xuegang Hu (ACM Trans. Inf. Syst., 2024)

Semantic-tailored Variational-Contrastive Graph Learning for Cognitive Diagnosis. - Chenao Xia; Fei Liu 038; Zihan Wang; Zhuangzhuang He; Pengyang Shao; Haowei Zhou; Yonghui Yang (WWW (Companion Volume), 2025)

Fair Personalized Learner Modeling Without Sensitive Attributes. - Hefei Xu; Min Hou; Le Wu; Fei Liu 038; Yonghui Yang; Haoyue Bai 002; Richang Hong; Meng Wang 001 (WWW, 2025)

LocalDGP: local degree-balanced graph partitioning for lightweight GNNs. - Shengwei Ji; Shengjie Li; Fei Liu 038; Qiang Xu (Appl. Intell., 2025)