Yiyang Cai

According to our database, Yiyang Cai authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Sketch-based 3D shape retrieval via teacher-student learning.

Shuang Liang, Weidong Dai, Yiyang Cai, Chi Xie

Comput. Vis. Image Underst., February, 2024

DAPredict: a database for drug action phenotype prediction.

Qingkang Meng, Yiyang Cai, Kun Zhou, Fei Xu, Diwei Huo, Hongbo Xie, Meini Yu, Denan Zhang, Xiujie Chen

Database J. Biol. Databases Curation, January, 2024

Crosstalk of different cell-death patterns predicts prognosis and drug sensitivity in glioma.

Meini Yu, Diwei Huo, Kexin Yu, Kun Zhou, Fei Xu, Qingkang Meng, Yiyang Cai, Xiujie Chen

Comput. Biol. Medicine, 2024

Label Correction For Sketch-Based 3d Shape Retrieval.

Shuang Liang, Jiaming Lu, Yiyang Cai

Proceedings of the IEEE International Conference on Acoustics, 2024

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs.

Wenhua Cheng, Weiwei Zhang, Haihao Shen, Yiyang Cai, Xin He, Kaokao Lv, Yi Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Computational Prediction of Drug Phenotypic Effects Based on Substructure-Phenotype Associations.

Jingbo Yang, Denan Zhang, Yiyang Cai, Kexin Yu, Mingming Li, Lei Liu, Xiujie Chen

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Effective Quantization for Diffusion Models on CPUs.

Hanwen Chang, Haihao Shen, Yiyang Cai, Xinyu Ye, Zhenzhong Xu, Wenhua Cheng, Kaokao Lv, Weiwei Zhang, Yintong Lu, Heng Guo

CoRR, 2023

TEQ: Trainable Equivalent Transformation for Quantization of LLMs.

Wenhua Cheng, Yiyang Cai, Kaokao Lv, Haihao Shen

CoRR, 2023

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs.

Wenhua Cheng, Weiwei Zhang, Haihao Shen, Yiyang Cai, Xin He, Kaokao Lv

CoRR, 2023

Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval.

Yiyang Cai, Jiaming Lu, Jiewen Wang, Shuang Liang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Few-Shot Font Generation by Learning Fine-Grained Local Styles.

Licheng Tang, Yiyang Cai, Jiaming Liu, Zhibin Hong, Mingming Gong, Minhu Fan, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Computational drug repositioning based on the relationships between substructure-indication.

Jingbo Yang, Denan Zhang, Lei Liu, Guoqi Li, Yiyang Cai, Yan Zhang, Hongbo Jin, Xiujie Chen

Briefings Bioinform., 2021

2020

AIM 2020 Challenge on Image Extreme Inpainting.

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

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

DeLTR: A Deep Learning Based Approach to Traffic Light Recognition.

Yiyang Cai, Chenghua Li, Sujuan Wang, Jian Cheng

Proceedings of the Image and Graphics - 10th International Conference, 2019