Fei Liu

29 papers A* 3A 1B 2Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation.
CoRR
Hao Zhan, Yihui Wang, Yonghui Yang, Danyang Yue, Yu Wang, Pengyang Shao, Fei Shen, Fei Liu, Le Wu
2026 A* conf
Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering.
AAAI
Jilong Liu, Pengyang Shao, Wei Qin, Fei Liu, Yonghui Yang, Richang Hong
2025 J jnl
Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering.
CoRR
Jilong Liu, Pengyang Shao, Wei Qin, Fei Liu, Yonghui Yang, Richang Hong
2025 A* conf
Fair Personalized Learner Modeling Without Sensitive Attributes.
WWW
Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang
2025 J jnl
LocalDGP: local degree-balanced graph partitioning for lightweight GNNs.
Appl. Intell.
Shengwei Ji, Shengjie Li, Fei Liu, Qiang Xu
2025 J jnl
Prompt Transfer for Dual-Aspect Cross-Domain Cognitive Diagnosis.
IEEE Trans. Comput. Soc. Syst.
Fei Liu, Yizhong Zhang, Shuochen Liu, Shengwei Ji, Kui Yu, Le Wu
2025 A conf
Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing.
CIKM
Mi Tian, Kun Zhang, Fei Liu, Jinglong Li, Yuxin Liao, Chenxi Bai, Zhengtao Tan, Le Wu, Richang Hong
2025 J jnl
Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing.
CoRR
Mi Tian, Kun Zhang, Fei Liu, Jinglong Li, Yuxin Liao, Chenxi Bai, Zhengtao Tan, Le Wu, Richang Hong
2025 — conf
Semantic-tailored Variational-Contrastive Graph Learning for Cognitive Diagnosis.
WWW (Companion Volume)
Chenao Xia, Fei Liu, Zihan Wang, Zhuangzhuang He, Pengyang Shao, Haowei Zhou, Yonghui Yang
2024 J jnl
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning.
ACM Trans. Inf. Syst.
Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu
2024 J jnl
Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis.
CoRR
Fei Liu, Yizhong Zhang, Shuochen Liu, Shengwei Ji, Kui Yu, Le Wu
2024 J jnl
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs.
CoRR
Shengwei Ji, Yujie Tian, Fei Liu, Xinlu Li, Le Wu
2023 J jnl
Cognitive Diagnostic Model Made More Practical by Genetic Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell.
Chenyang Bu, Fei Liu, Zhiyong Cao, Lei Li, Yuhong Zhang, Xuegang Hu, Wenjian Luo
2023 J jnl
MMIEA: Multi-modal Interaction Entity Alignment model for knowledge graphs.
Inf. Fusion
Bin Zhu, Meng Wu, Yunpeng Hong, Yi Chen, Bo Xie, Fei Liu, Chenyang Bu, Weiping Ding
2023 A* conf
Meta Multi-agent Exercise Recommendation: A Game Application Perspective.
KDD
Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu
2022 — conf
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing.
PRICAI (1)
Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu
2022 J jnl
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing.
CoRR
Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu
2022 — conf
DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing.
ICONIP (2)
Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu
2022 J jnl
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing.
CoRR
Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu
2022 B conf
Evolutionary Algorithms with Heuristic Gradient-based Repair for Constrained Optimization.
SMC
Jiacheng Du, Chenyang Bu, Yuxin Liu, Fei Liu, Wenjian Luo
2022 J jnl
Fuzzy Bayesian Knowledge Tracing.
IEEE Trans. Fuzzy Syst.
Fei Liu, Xuegang Hu, Chenyang Bu, Kui Yu
2022 — conf
Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application.
ICSI (1)
Shuai Sun, Xuegang Hu, Chenyang Bu, Fei Liu, Yuhong Zhang, Wenjian Luo
2021 — conf
Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study.
PRICAI (1)
Chenyang Bu, Yi Lu, Fei Liu
2020 J jnl
A Novel On-Demand Charging Strategy Based on Swarm Reinforcement Learning in WRSNs.
IEEE Access
Zhen Wei, Meng Li, Zhenchun Wei, Lei Cheng, Zengwei Lyu, Fei Liu
2019 B conf
A Multi-Grouped LS-SVM Method for Short-Term Urban Traffic Flow Prediction.
GLOBECOM
Fei Liu, Zhenchun Wei, Zhensheng Huang, Yang Lu, Xuegang Hu, Lei Shi
2019 J jnl
A Q-learning algorithm for task scheduling based on improved SVM in wireless sensor networks.
Comput. Networks
Zhenchun Wei, Fei Liu, Yan Zhang, Juan Xu, Jianjun Ji, Zengwei Lyu
2019 J jnl
K-CHRA: A Clustering Hierarchical Routing Algorithm for Wireless Rechargeable Sensor Networks.
IEEE Access
Zhenchun Wei, Fei Liu, Xu Ding, Lin Feng, Zengwei Lyu, Lei Shi, Jianjun Ji
2018 — conf
A Novel Mixed-Variable Fireworks Optimization Algorithm for Path and Time Sequence Optimization in WRSNs.
ChinaCom
Chengkai Xia, Zhenchun Wei, Zengwei Lyu, Liangliang Wang, Fei Liu, Lin Feng
2018 — conf
Reinforcement Learning for a Novel Mobile Charging Strategy in Wireless Rechargeable Sensor Networks.
WASA
Zhenchun Wei, Fei Liu, Zengwei Lyu, Xu Ding, Lei Shi, Chengkai Xia