Learning with Multiplicative Perturbations. - Xiulong Yang; Shihao Ji 001 (ICPR, 2020)

A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention. - Krishanu Sarker; Xiulong Yang; Yang Li 146; Saeid Belkasim; Shihao Ji 001 (CoRR, 2020)

Improving Text-to-Image Synthesis Using Contrastive Learning. - Hui Ye; Xiulong Yang; Martin Takác 001; Rajshekhar Sunderraman; Shihao Ji 001 (BMVC, 2021)

JEM++: Improved Techniques for Training JEM. - Xiulong Yang; Shihao Ji 001 (ICCV, 2021)

A Unified Density-Driven Framework For Effective Data Denoising And Robust Abstention. - Krishanu Sarker; Xiulong Yang; Yang Li 146; Saeid Belkasim; Shihao Ji 001 (ICIP, 2021)

Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More. - Xiulong Yang; Hui Ye; Yang Ye; Xiang Li 080; Shihao Ji 001 (ECML/PKDD (2), 2021)

APSNet: Attention Based Point Cloud Sampling. - Yang Ye; Xiulong Yang; Shihao Ji 001 (BMVC, 2022)

A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. - Mingchen Li; Junfan Chen 001; Samuel Mensah; Nikolaos Aletras; Xiulong Yang; Yang Ye (EMNLP (Findings), 2022)

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model. - Xiulong Yang; Sheng-Min Shih; Yinlin Fu; Xiaoting Zhao; Shihao Ji 001 (CoRR, 2022)

Towards Bridging the Performance Gaps of Joint Energy-Based Models. - Xiulong Yang; Qing Su; Shihao Ji 001 (CVPR, 2023)

M-EBM: Towards Understanding the Manifolds of Energy-Based Models. - Xiulong Yang; Shihao Ji 001 (PAKDD (1), 2023)

Data-balanced transformer for accelerated ionizable lipid nanoparticles screening in mRNA delivery. - Kun Wu; Xiulong Yang; Zixu Wang; Na Li; Jialu Zhang; Lizhuang Liu (Briefings Bioinform., 2024)

TransMA: an explainable multi-modal deep learning model for predicting properties of ionizable lipid nanoparticles in mRNA delivery. - Kun Wu; Zixu Wang; Xiulong Yang; Yangyang Chen 006; Zhenqi Han; Jialu Zhang; Lizhuang Liu (CoRR, 2024)

TransMA: an explainable multi-modal deep learning model for predicting properties of ionizable lipid nanoparticles in mRNA delivery. - Kun Wu; Zixu Wang; Xiulong Yang; Yangyang Chen 006; Fulvio Mastrogiovanni; Jialu Zhang; Lizhuang Liu (Briefings Bioinform., 2025)

Your Classifier Can Do More: Towards Bridging the Gaps in Classification, Robustness, and Generation. - Kaichao Jiang; He Wang 002; Xiaoshuai Hao; Xiulong Yang; Ajian Liu 001; Qi Chu 001; Yunfeng Diao (CoRR, 2025)

MINT: Memory-Infused Prompt Tuning at Test-time for CLIP. - Jiaming Yi; Ruirui Pan; Jishen Yang; Xiulong Yang (CoRR, 2025)