Using Fine-Grained Test Cases for Improving Novice Program Fault Localization. - Zheng Li 002; Deli Yu; Yonghao Wu; Yong Liu 030 (COMPSAC, 2020)

Towards Accurate Scene Text Recognition With Semantic Reasoning Networks. - Deli Yu; Xuan Li; Chengquan Zhang; Tao Liu; Junyu Han; Jingtuo Liu; Errui Ding (CVPR, 2020)

Towards Accurate Scene Text Recognition with Semantic Reasoning Networks. - Deli Yu; Xuan Li; Chengquan Zhang; Junyu Han; Jingtuo Liu; Errui Ding (CoRR, 2020)

Fault Localization-Guided Test Data Generation Approach for Novice Programs. - Zheng Li 002; Xiaotang Zhou; Deli Yu; Yonghao Wu; Yong Liu 030; Xiang Chen 005 (DSA, 2021)

Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compression. - Deli Yu; Peipei Yang; Cheng-Lin Liu 001 (MIPR, 2021)

SeCNN: A semantic CNN parser for code comment generation. - Zheng Li 002; Yonghao Wu; Bin Peng; Xiang Chen 005; Zeyu Sun 004; Yong Liu 030; Deli Yu (J. Syst. Softw., 2021)

UFO: Unified Feature Optimization. - Teng Xi; Yifan Sun 003; Deli Yu; Bi Li 005; Nan Peng; Gang Zhang; Xinyu Zhang 015; Zhigang Wang 002; Jinwen Chen; Jian Wang 066; Lufei Liu; Haocheng Feng; et al. (ECCV (26), 2022)

Extended Abstract of SeCNN: A semantic CNN parser for code comment generation. - Zheng Li 002; Yonghao Wu; Bin Peng; Xiang Chen 005; Zeyu Sun 004; Yong Liu 030; Deli Yu (SANER, 2023)

Accelerating Vision Transformers Based on Heterogeneous Attention Patterns. - Deli Yu; Teng Xi; Jianwei Li; Baopu Li; Gang Zhang; Haocheng Feng; Junyu Han; Jingtuo Liu; Errui Ding; Jingdong Wang 001 (CoRR, 2023)

Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration. - Fanhu Zeng; Deli Yu; Zhenglun Kong; Hao Tang (CoRR, 2025)