Statistical Multi-Faults Localization Strategy of Switch Open-Circuit Fault for Modular Multilevel Converters Using Grubbs Criterion. - Ming Jin; Fujin Deng; Chengkai Liu; Qiang Yu; Jifeng Zhao; Qingsong Wang 001 (IECON, 2020)

A Currentless Submodule Individual Voltage Balancing Control for Modular Multilevel Converters. - Fujin Deng; Chengkai Liu; Qingsong Wang 001; Rongwu Zhu; Xu Cai; Zhe Chen 007 (IEEE Trans. Ind. Electron., 2020)

Switch Open-Circuit Fault Localization Strategy for MMCs Using Sliding-Time Window Based Features Extraction Algorithm. - Fujin Deng; Ming Jin; Chengkai Liu; Marco Liserre; Wu Chen 002 (IEEE Trans. Ind. Electron., 2021)

Crossing Thyristor Branches-Based Hybrid Modular Multilevel Converters for DC Line Faults. - Chengkai Liu; Fujin Deng; Qian Heng; Xu Cai; Rongwu Zhu; Marco Liserre (IEEE Trans. Ind. Electron., 2021)

Submodule Capacitance Monitoring Strategy for Phase-Shifted Carrier Pulsewidth-Modulation-Based Modular Multilevel Converters. - Chengkai Liu; Fujin Deng; Qiang Yu; Yanbo Wang 002; Frede Blaabjerg; Xu Cai (IEEE Trans. Ind. Electron., 2021)

Multi-Behavior Sequential Transformer Recommender. - Enming Yuan; Wei Guo 006; Zhicheng He 001; Huifeng Guo; Chengkai Liu; Ruiming Tang (SIGIR, 2022)

Towards Symmetry-Aware Generation of Periodic Materials. - Youzhi Luo; Chengkai Liu; Shuiwang Ji (NeurIPS, 2023)

Isolation Forest Based Submodule Open-Circuit Fault Localization Method for Modular Multilevel Converters. - Fujin Deng; Yufei Chen; Jingming Dou; Chengkai Liu; Zhe Chen 007; Frede Blaabjerg (IEEE Trans. Ind. Electron., 2023)

Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. - Chengkai Liu; Jianghao Lin; Hanzhou Liu; Jianling Wang; James Caverlee (CIKM, 2024)

Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models. - Chengkai Liu; Jianghao Lin; Jianling Wang; Hanzhou Liu; James Caverlee (CoRR, 2024)

DeblurDiNAT: A Lightweight and Effective Transformer for Image Deblurring. - Hanzhou Liu; Binghan Li; Chengkai Liu; Mi Lu (CoRR, 2024)

CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics. - Kai Yin; Chengkai Liu; Ali Mostafavi; Xia Hu (CoRR, 2024)

A Survey on Diffusion Models for Recommender Systems. - Jianghao Lin; Jiaqi Liu; Jiachen Zhu 001; Yunjia Xi; Chengkai Liu; Yangtian Zhang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering. - Chengkai Liu; Jianling Wang; James Caverlee (CoRR, 2024)

XYScanNet: An Interpretable State Space Model for Perceptual Image Deblurring. - Hanzhou Liu; Chengkai Liu; Jiacong Xu; Peng Jiang; Mi Lu (CoRR, 2024)

XYScanNet: A State Space Model for Single Image Deblurring. - Hanzhou Liu; Chengkai Liu; Jiacong Xu; Peng Jiang; Mi Lu (CVPR Workshops, 2025)

Flow Matching for Collaborative Filtering. - Chengkai Liu; Yangtian Zhang; Jianling Wang; Rex Ying; James Caverlee (CoRR, 2025)

DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management. - Kai Yin; Xiangjue Dong; Chengkai Liu; Lipai Huang; Yiming Xiao; Zhewei Liu; Ali Mostafavi; James Caverlee (CoRR, 2025)

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration. - Hanzhou Liu; Binghan Li; Chengkai Liu; Mi Lu (CoRR, 2025)