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2020 – today
- 2024
[j5]Qingkang Meng, Yiyang Cai, Kun Zhou, Fei Xu, Diwei Huo, Hongbo Xie, Meini Yu, Denan Zhang, Xiujie Chen
:
DAPredict: a database for drug action phenotype prediction. Database J. Biol. Databases Curation 2024 (2024)- [j4]Meini Yu, Diwei Huo, Kexin Yu, Kun Zhou, Fei Xu, Qingkang Meng, Yiyang Cai, Xiujie Chen:
Crosstalk of different cell-death patterns predicts prognosis and drug sensitivity in glioma. Comput. Biol. Medicine 175: 108532 (2024) - [j3]Shuang Liang, Weidong Dai, Yiyang Cai, Chi Xie:
Sketch-based 3D shape retrieval via teacher-student learning. Comput. Vis. Image Underst. 239: 103903 (2024) - [c5]Shuang Liang, Jiaming Lu, Yiyang Cai:
Label Correction For Sketch-Based 3d Shape Retrieval. ICASSP 2024: 3565-3569 - 2023
- [j2]Jingbo Yang, Denan Zhang, Yiyang Cai, Kexin Yu, Mingming Li, Lei Liu, Xiujie Chen:
Computational Prediction of Drug Phenotypic Effects Based on Substructure-Phenotype Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 256-265 (2023) - [c4]Yiyang Cai, Jiaming Lu, Jiewen Wang, Shuang Liang:
Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval. ICME 2023: 132-137 - [i5]Yiyang Cai, Jiaming Lu, Jiewen Wang, Shuang Liang:
Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval. CoRR abs/2308.05948 (2023) - [i4]Wenhua Cheng, Weiwei Zhang, Haihao Shen, Yiyang Cai, Xin He, Kaokao Lv:
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs. CoRR abs/2309.05516 (2023) - [i3]Wenhua Cheng, Yiyang Cai, Kaokao Lv, Haihao Shen:
TEQ: Trainable Equivalent Transformation for Quantization of LLMs. CoRR abs/2310.10944 (2023) - [i2]Hanwen Chang, Haihao Shen, Yiyang Cai, Xinyu Ye, Zhenzhong Xu, Wenhua Cheng, Kaokao Lv, Weiwei Zhang, Yintong Lu, Heng Guo:
Effective Quantization for Diffusion Models on CPUs. CoRR abs/2311.16133 (2023) - 2022
- [c3]Licheng Tang, Yiyang Cai, Jiaming Liu, Zhibin Hong, Mingming Gong, Minhu Fan, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang:
Few-Shot Font Generation by Learning Fine-Grained Local Styles. CVPR 2022: 7885-7894 - [i1]Licheng Tang, Yiyang Cai, Jiaming Liu, Zhibin Hong, Mingming Gong, Minhu Fan, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang:
Few-Shot Font Generation by Learning Fine-Grained Local Styles. CoRR abs/2205.09965 (2022) - 2021
- [j1]Jingbo Yang, Denan Zhang, Lei Liu, Guoqi Li, Yiyang Cai, Yan Zhang, Hongbo Jin, Xiujie Chen:
Computational drug repositioning based on the relationships between substructure-indication. Briefings Bioinform. 22(4) (2021) - 2020
- [c2]Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Chajin Shin, Taeoh Kim, Hanbin Son, Sangyoun Lee, Chao Li, Fu Li, Dongliang He, Shilei Wen, Errui Ding, Mengmeng Bai, Shuchen Li, Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu, Weijian Zeng, Haopeng Ni, Yiyang Cai, Chenghua Li, Dejia Xu, Haoning Wu, Yu Han, S. M. Nadim Uddin, Hae Woong Jang, Soikat Hasan Ahmed, Jungmin Yoon, Yong Ju Jung, Chu-Tak Li, Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu, Daniel Pak-Kong Lun, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Pratik Narang, Murari Mandal, Pranjal Singh Chauhan:
AIM 2020 Challenge on Image Extreme Inpainting. ECCV Workshops (3) 2020: 716-741
2010 – 2019
- 2019
- [c1]Yiyang Cai, Chenghua Li, Sujuan Wang, Jian Cheng:
DeLTR: A Deep Learning Based Approach to Traffic Light Recognition. ICIG (3) 2019: 604-615
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