4 citations · 6 across the 3 of their papers we have counts for
3 papers
q-bio.BM2025★ 4 cited
OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning
Zhiwei Nie, Hongyu Zhang, Hao Jiang +8
Understanding and modeling enzyme-substrate interactions is crucial for catalytic mechanism research, enzyme engineering, and metabolic engineering. Although a large number of pred…
cs.CV2022★ 2 cited
Fuzzy Positive Learning for Semi-supervised Semantic Segmentation
Pengchong Qiao, Zhidan Wei, Yu Wang +6
Semi-supervised learning (SSL) essentially pursues class boundary exploration with less dependence on human annotations. Although typical attempts focus on ameliorating the inevita…
cs.CV2022
BN: Enhancing Batch Normalization by Equalizing the Norms of Features
Zhennan Wang, Kehan Li, Runyi Yu +7
In this paper, we analyze batch normalization from the perspective of discriminability and find the disadvantages ignored by previous studies: the difference in norms of samp…