DeLTR: A Deep Learning Based Approach to Traffic Light Recognition. - Yiyang Cai; Chenghua Li; Sujuan Wang; Jian Cheng 001 (ICIG (3), 2019)

AIM 2020 Challenge on Image Extreme Inpainting. - Evangelos Ntavelis; Andrés Romero; Siavash Bigdeli; Radu Timofte; Zheng Hui; Xiumei Wang; Xinbo Gao 001; Chajin Shin; Taeoh Kim; Hanbin Son; Sangyoun Lee; Chao Li 034; et al. (ECCV Workshops (3), 2020)

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)

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 001 (CVPR, 2022)

Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval. - Yiyang Cai; Jiaming Lu; Jiewen Wang; Shuang Liang 001 (ICME, 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)

TEQ: Trainable Equivalent Transformation for Quantization of LLMs. - Wenhua Cheng; Yiyang Cai; Kaokao Lv; Haihao Shen (CoRR, 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)

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)

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 (EMNLP (Findings), 2024)

Label Correction For Sketch-Based 3d Shape Retrieval. - Shuang Liang 001; Jiaming Lu; Yiyang Cai (ICASSP, 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)

Foundation Cures Personalization: Recovering Facial Personalized Models' Prompt Consistency. - Yiyang Cai; Zhengkai Jiang 001; Yulong Liu; Chunyang Jiang; Wei Xue 002; Wenhan Luo; Yike Guo (CoRR, 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, 2024)

Sketch-based 3D shape retrieval via teacher-student learning. - Shuang Liang 001; Weidong Dai; Yiyang Cai; Chi Xie (Comput. Vis. Image Underst., 2024)

Rethinking sketch-based 3D shape retrieval: A simple baseline and benchmark reconstruction. - Shuang Liang 001; Weidong Dai; Changmao Cheng; Yichen Wei; Yiyang Cai (Neurocomputing, 2025)

Graceful Forgetting in Generative Language Models. - Chunyang Jiang; Chi-Min Chan; Yiyang Cai; Yulong Liu; Wei Xue 002; Yike Guo (CoRR, 2025)