116 citations · 197 across the 4 of their papers we have counts for
6 papers
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction
Yuancheng Sun, Yimeng Chen, Weizhi Ma +5
Molecular property prediction is essential for drug discovery. In recent years, deep learning methods have been introduced to this area and achieved state-of-the-art performances.…
Controllable Person Image Synthesis with Attribute-Decomposed GAN
Yifang Men, Yiming Mao, Yuning Jiang +2
This paper introduces the Attribute-Decomposed GAN, a novel generative model for controllable person image synthesis, which can produce realistic person images with desired human a…
Effective Domain Knowledge Transfer with Soft Fine-tuning
Zhichen Zhao, Bowen Zhang, Yuning Jiang +3
Convolutional neural networks require numerous data for training. Considering the difficulties in data collection and labeling in some specific tasks, existing approaches generally…
UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations
Hao Wu, Jiayuan Mao, Yufeng Zhang +4
We propose Unified Visual-Semantic Embeddings (UniVSE) for learning a joint space of visual and textual concepts. The space unifies the concepts at different levels, including obje…
Hierarchical Recurrent Attention Network for Response Generation
Chen Xing, Wei Wu, Yu Wu +3
We study multi-turn response generation in chatbots where a response is generated according to a conversation context. Existing work has modeled the hierarchy of the context, but d…
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Kai Yu, Anton Schwaighofer, Volker Tresp +2
Collaborative filtering (CF) and content-based filtering (CBF) have widely been used in information filtering applications. Both approaches have their strengths and weaknesses whic…