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Chengzhi Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Chengzhi Liu 0001 (aka: Cheng-Zhi Liu 0001) — Hunan University of Humanities, Science and Technology, School of Mathematics and Finance, Loudi, China (and 1 more)
- Chengzhi Liu 0002 — Chinese Academy of Sciences, Changchun Observatory of National Astronomical Observatory, Changchun, China
- Chengzhi Liu 0003 — Renmin University of China, Information School and Key Laboratory of Data Engineering and Knowledge Engineering, Beijing, China
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2020 – today
- 2024
- [j3]Chengzhi Liu, Yue Qiu, Li Zhang:
Preconditioned geometric iterative methods for B-spline interpolation. Math. Comput. Simul. 219: 87-100 (2024) - [j2]Mingliang Zhang, Guanyu Wen, Cunbo Fan, Bowen Guan, Qingli Song, Chengzhi Liu, Shuang Wang:
Analysis of the Ranging Capability of a Space Debris Laser Ranging System Based on the Maximum Detection Distance Model. Remote. Sens. 16(4): 727 (2024) - [c6]Chengzhi Liu, Zihong Luo, Yifei Bi, Zile Huang, Dong Shu, Jiheng Hou, Hongchen Wang, Kaiyu Liang:
ARIF: An Adaptive Attention-Based Cross-Modal Representation Integration Framework. ICANN (6) 2024: 3-18 - [c5]Jie Huang, Chengzhi Liu, Longyue Li, Xu Liu, Na Xia:
Towards Efficient and Stable Time Parameter Optimization in Spiking Neural Networks. ICIC (4) 2024: 293-300 - [c4]Chengzhi Liu, Zihong Luo, Zheng Tao, Chenghao Liu, Yitao Xu, Zile Huang:
MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network. ICPR (14) 2024: 424-438 - [c3]Zihong Luo, Chengzhi Liu, Zheng Tao, Kexin He, Yitao Xu:
MC-DBN: A Deep Belief Network-Based Model for Modality Completion. ICPR (7) 2024: 474-488 - [i9]Chengzhi Liu, Zheng Tao, Zihong Luo, Chenghao Liu:
MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network. CoRR abs/2402.05423 (2024) - [i8]Zihong Luo, Zheng Tao, Yuxuan Huang, Kexin He, Chengzhi Liu:
MC-DBN: A Deep Belief Network-Based Model for Modality Completion. CoRR abs/2402.09782 (2024) - [i7]Mingyu Jin, Hua Tang, Chong Zhang, Qinkai Yu, Chengzhi Liu, Suiyuan Zhu, Yongfeng Zhang, Mengnan Du:
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. CoRR abs/2402.10835 (2024) - [i6]Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin:
Goal-guided Generative Prompt Injection Attack on Large Language Models. CoRR abs/2404.07234 (2024) - [i5]Zile Huang, Chong Zhang, Mingyu Jin, Fangyu Wu, Chengzhi Liu, Xiaobo Jin:
Better Sampling, towards Better End-to-end Small Object Detection. CoRR abs/2407.06127 (2024) - [i4]Haochen Xue, Chong Zhang, Chengzhi Liu, Fangyu Wu, Xiaobo Jin:
Multi-task Prompt Words Learning for Social Media Content Generation. CoRR abs/2407.07771 (2024) - [i3]Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Anderson Compalas, Dawn Song, Xin Eric Wang:
Multimodal Situational Safety. CoRR abs/2410.06172 (2024) - 2023
- [j1]Mengjie Shao, Nanjiao Ying, Qian Liang, Nan Ma, Sebastian Leptihn, Yunsong Yu, Huan Chen, Chengzhi Liu, Xiaoting Hua:
Pdif-mediated antibiotic resistance genes transfer in bacteria identified by pdifFinder. Briefings Bioinform. 24(1) (2023) - [i2]Chengzhi Liu, Yue Qiu, Li Zhang:
Preconditioned geometric iterative methods for cubic B-spline interpolation curves. CoRR abs/2304.04511 (2023) - [i1]Jiahao Qin, Yitao Xu, Zihong Luo, Chengzhi Liu, Zong Lu, Xiaojun Zhang:
Alternative Telescopic Displacement: An Efficient Multimodal Alignment Method. CoRR abs/2306.16950 (2023) - 2021
- [c2]Yanlin Zhang, Daniel Qi Chen, Chengzhi Liu:
How CIO political skill Influences Organizational Agility: The Mediating Role of CIO-Top Management Team Behavioral Integration. ICIS 2021
2010 – 2019
Coauthor Index
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last updated on 2024-12-13 20:07 CET by the dblp team
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