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2020 – today
- 2024
[i11]Kun Wu, Zixu Wang, Xiulong Yang, Yangyang Chen, Zhenqi Han, Jialu Zhang, Lizhuang Liu:
TransMA: an explainable multi-modal deep learning model for predicting properties of ionizable lipid nanoparticles in mRNA delivery. CoRR abs/2407.05736 (2024)- 2023
- [c9]Xiulong Yang, Qing Su, Shihao Ji:
Towards Bridging the Performance Gaps of Joint Energy-Based Models. CVPR 2023: 15732-15741 - [c8]Xiulong Yang
, Shihao Ji:
M-EBM: Towards Understanding the Manifolds of Energy-Based Models. PAKDD (1) 2023: 291-302 - [i10]Xiulong Yang, Shihao Ji:
M-EBM: Towards Understanding the Manifolds of Energy-Based Models. CoRR abs/2303.04343 (2023) - 2022
- [c7]Yang Ye, Xiulong Yang, Shihao Ji:
APSNet: Attention Based Point Cloud Sampling. BMVC 2022: 298 - [c6]Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye:
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. EMNLP (Findings) 2022: 2498-2509 - [i9]Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye:
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. CoRR abs/2204.10293 (2022) - [i8]Xiulong Yang, Sheng-Min Shih, Yinlin Fu, Xiaoting Zhao, Shihao Ji:
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model. CoRR abs/2208.07791 (2022) - [i7]Xiulong Yang, Qing Su, Shihao Ji:
Towards Bridging the Performance Gaps of Joint Energy-based Models. CoRR abs/2209.07959 (2022) - [i6]Yang Ye, Xiulong Yang, Shihao Ji:
APSNet: Attention Based Point Cloud Sampling. CoRR abs/2210.05638 (2022) - 2021
- [c5]Hui Ye, Xiulong Yang, Martin Takác, Rajshekhar Sunderraman, Shihao Ji:
Improving Text-to-Image Synthesis Using Contrastive Learning. BMVC 2021: 154 - [c4]Xiulong Yang, Shihao Ji:
JEM++: Improved Techniques for Training JEM. ICCV 2021: 6474-6483 - [c3]Krishanu Sarker, Xiulong Yang, Yang Li, Saeid Belkasim, Shihao Ji:
A Unified Density-Driven Framework For Effective Data Denoising And Robust Abstention. ICIP 2021: 594-598 - [c2]Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji:
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More. ECML/PKDD (2) 2021: 67-83 - [i5]Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji:
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More. CoRR abs/2101.00122 (2021) - [i4]Hui Ye, Xiulong Yang, Martin Takác, Rajshekhar Sunderraman, Shihao Ji:
Improving Text-to-Image Synthesis Using Contrastive Learning. CoRR abs/2107.02423 (2021) - [i3]Xiulong Yang, Shihao Ji:
JEM++: Improved Techniques for Training JEM. CoRR abs/2109.09032 (2021) - 2020
- [c1]Xiulong Yang, Shihao Ji:
Learning with Multiplicative Perturbations. ICPR 2020: 1321-1328 - [i2]Krishanu Sarker, Xiulong Yang, Yang Li, Saeid Belkasim, Shihao Ji:
A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention. CoRR abs/2009.12027 (2020)
2010 – 2019
- 2019
- [i1]Xiulong Yang, Shihao Ji:
Learning with Multiplicative Perturbations. CoRR abs/1912.01810 (2019)
Coauthor Index
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