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Caiyan Qin
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2020 – today
- 2026
[i7]Pengcheng Zheng, Chaoning Zhang, Jiarong Mo, GuoHui Li, Jiaquan Zhang, Jiahao Zhang, Sihan Cao, Sheng Zheng, Caiyan Qin, Guoqing Wang, Yang Yang:
LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models. CoRR abs/2602.00135 (2026)
[i6]Zhenzhen Huang, Haoyu Bian, Jiaquan Zhang, Yibei Liu, Kuien Liu, Caiyan Qin, Guoqing Wang, Yang Yang, Chaoning Zhang:
Rethinking Input Domains in Physics-Informed Neural Networks via Geometric Compactification Mappings. CoRR abs/2602.16193 (2026)
[i5]Jiaquan Zhang, Fachrina Dewi Puspitasari, Songbo Zhang, Yibei Liu, Kuien Liu, Caiyan Qin, Fan Mo, Peng Wang, Yang Yang, Chaoning Zhang:
Geometric Neural Operators via Lie Group-Constrained Latent Dynamics. CoRR abs/2602.16209 (2026)
[i4]Zhenzhen Huang, Chaoning Zhang, Haoyu Bian, Songbo Zhang, Chi-Lok Andy Tai, Jiaquan Zhang, Caiyan Qin, Jingjing Qu, Yalan Ye, Yang Yang, Heng Tao Shen:
Optimizing Soft Prompt Tuning via Structural Evolution. CoRR abs/2602.16500 (2026)- 2025
[j2]Yanlong Gao
, Feng Xing
, Lipeng Kang
, Mingming Zhang
, Caiyan Qin
:
Ultra-Short-Term Wind Power Forecasting Based on DT-DSCTransformer Model. IEEE Access 13: 22919-22930 (2025)
[i3]Yutong Li, Yitian Zhou, Xudong Wang, GuoChen, Caiyan Qin:
GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning. CoRR abs/2511.19078 (2025)
[i2]Avilasha Mandal, Chaoning Zhang, Fachrina Dewi Puspitasari, Xudong Wang, Jiaquan Zhang, Caiyan Qin, Guoqing Wang, Yang Yang, Heng Tao Shen:
Fast SAM2 with Text-Driven Token Pruning. CoRR abs/2512.21333 (2025)- 2024
[j1]Gaoyang Li
, Haiyi Sun, Jiachao He, Xuhui Ding
, Wenkun Zhu, Caiyan Qin, Xuelan Zhang, Xinwu Zhou, Bin Yang
, Yuting Guo
:
Deep learning, numerical, and experimental methods to reveal hydrodynamics performance and cavitation development in centrifugal pump. Expert Syst. Appl. 237(Part C): 121604 (2024)- 2023
[i1]Chaoning Zhang, Sheng Zheng, Chenghao Li, Yu Qiao, Taegoo Kang, Xinru Shan, Chenshuang Zhang, Caiyan Qin, François Rameau, Sung-Ho Bae, Choong Seon Hong:
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering. CoRR abs/2306.06211 (2023)
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last updated on 2026-03-31 23:46 CEST by the dblp team
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