Chengkai Liu

According to our database, Chengkai Liu authored at least 27 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Malicious and Anti-Malicious Information Propagation Dynamics Model Based on Higher-Order Diffusion Networks.

Tun Li, Chengkai Liu, Jianfeng Liu, Rong Wang, Hongjun Zhu, Yunpeng Xiao

IEEE Trans. Big Data, June, 2026

DisasterBench: Benchmarking LLM Planning under Typed Tool Interface Constraints.

Zhitong Chen, Kai Yin, Weifeng Zhang, Zhiyuan Wang, Xiangjue Dong, Chengkai Liu, Zhewei Liu, Yiming Xiao, Ali Mostafavi, James Caverlee

CoRR, May, 2026

DisastQA: A Comprehensive Benchmark for Evaluating Question Answering in Disaster Management.

Zhitong Chen, Kai Yin, Xiangjue Dong, Chengkai Liu, Xiangpeng Li, Yiming Xiao, Bo Li, Junwei Ma, Ali Mostafavi, James Caverlee

CoRR, January, 2026

Algebraic representations of some kinds of cocontinuous lattices.

Chengkai Liu, Qingguo Li, Xiangnan Zhou

J. Log. Comput., 2026

Unknown malware detection model based on genetic evolutionary strategy.

Tun Li, Meishi Song, Juan Li, Mingru Jin, Lei Qiao, Chengkai Liu, Qian Li, Yunpeng Xiao

Eng. Appl. Artif. Intell., 2026

CrisisSense-LLM: instruction fine-tuned large language model for multi-label social media text classification in disaster informatics.

Kai Yin, Bo Li, Chengkai Liu, Ali Mostafavi, Xia Hu

Adv. Eng. Informatics, 2026

2025

DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management.

Kai Yin, Xiangjue Dong, Chengkai Liu, Allen Lin, Lingfeng Shi, Ali Mostafavi, James Caverlee

CoRR, October, 2025

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration.

Hanzhou Liu, Binghan Li, Chengkai Liu, Mi Lu

CoRR, July, 2025

Flow Matching for Collaborative Filtering.

Chengkai Liu, Yangtian Zhang, Jianling Wang, Rex Ying, James Caverlee

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

I want a horror - comedy - movie: Slips-of-the-Tongue Impact Conversational Recommender System Performance.

Maria Teleki, Lingfeng Shi, Chengkai Liu, James Caverlee

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

XYScanNet: A State Space Model for Single Image Deblurring.

Hanzhou Liu, Chengkai Liu, Jiacong Xu, Peng Jiang, Mi Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

XYScanNet: An Interpretable State Space Model for Perceptual Image Deblurring.

Hanzhou Liu, Chengkai Liu, Jiacong Xu, Peng Jiang, Mi Lu

CoRR, 2024

TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering.

Chengkai Liu, Jianling Wang, James Caverlee

CoRR, 2024

A Survey on Diffusion Models for Recommender Systems.

Jianghao Lin, Jiaqi Liu, Jiachen Zhu, Yunjia Xi, Chengkai Liu, Yangtian Zhang, Yong Yu, Weinan Zhang

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

DeblurDiNAT: A Lightweight and Effective Transformer for Image Deblurring.

Hanzhou Liu, Binghan Li, Chengkai Liu, Mi Lu

CoRR, 2024

Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models.

Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, James Caverlee

CoRR, 2024

Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation.

Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Isolation Forest Based Submodule Open-Circuit Fault Localization Method for Modular Multilevel Converters.

Fujin Deng, Yufei Chen, Jingming Dou, Chengkai Liu, Zhe Chen, Frede Blaabjerg

IEEE Trans. Ind. Electron., 2023

Towards Symmetry-Aware Generation of Periodic Materials.

Youzhi Luo, Chengkai Liu, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Multi-Behavior Sequential Transformer Recommender.

Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Submodule Capacitance Monitoring Strategy for Phase-Shifted Carrier Pulsewidth-Modulation-Based Modular Multilevel Converters.

Chengkai Liu, Fujin Deng, Qiang Yu, Yanbo Wang, Frede Blaabjerg, Xu Cai

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

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

IEEE Trans. Ind. Electron., 2021

2020

A Currentless Submodule Individual Voltage Balancing Control for Modular Multilevel Converters.

Fujin Deng, Chengkai Liu, Qingsong Wang, Rongwu Zhu, Xu Cai, Zhe Chen

IEEE Trans. Ind. Electron., 2020

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

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020