49 citations · 53 across the 4 of their papers we have counts for
6 papers
BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction
Yifei Yang, Runhan Shi, Zuchao Li +4
Retrosynthesis analysis is pivotal yet challenging in drug discovery and organic chemistry. Despite the proliferation of computational tools over the past decade, AI-based systems…
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification
Weiping Ding, Tianyi Zhou, Jiashuang Huang +3
Histopathological image classification constitutes a pivotal task in computer-aided diagnostics. The precise identification and categorization of histopathological images are of pa…
Document-level Neural Machine Translation with Document Embeddings
Shu Jiang, Hai Zhao, Zuchao Li +1
Standard neural machine translation (NMT) is on the assumption of document-level context independent. Most existing document-level NMT methods are satisfied with a smattering sense…
Document-level Neural Machine Translation with Associated Memory Network
Shu Jiang, Rui Wang, Zuchao Li +5
Standard neural machine translation (NMT) is on the assumption that the document-level context is independent. Most existing document-level NMT approaches are satisfied with a smat…
Controllable Dual Skew Divergence Loss for Neural Machine Translation
Zuchao Li, Hai Zhao, Yingting Wu +2
In sequence prediction tasks like neural machine translation, training with cross-entropy loss often leads to models that overgeneralize and plunge into local optima. In this paper…
Judging Chemical Reaction Practicality From Positive Sample only Learning
Shu Jiang, Zhuosheng Zhang, Hai Zhao +4
Chemical reaction practicality is the core task among all symbol intelligence based chemical information processing, for example, it provides indispensable clue for further automat…