466 citations · 561 across the 9 of their papers we have counts for
9 papers
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Wei Jin, Haitao Mao, Zheng Li +17
Modeling customer shopping intentions is a crucial task for e-commerce, as it directly impacts user experience and engagement. Thus, accurately understanding customer preferences i…
SCOTT: Self-Consistent Chain-of-Thought Distillation
Peifeng Wang, Zhengyang Wang, Zheng Li +3
Large language models (LMs) beyond a certain scale, demonstrate the emergent capability of generating free-text rationales for their predictions via chain-of-thought (CoT) promptin…
Global Pixel Transformers for Virtual Staining of Microscopy Images
Yi Liu, Hao Yuan, Zhengyang Wang +1
Visualizing the details of different cellular structures is of great importance to elucidate cellular functions. However, it is challenging to obtain high quality images of differe…
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
Convolutional neural networks (CNNs) have shown great capability of solving various artificial intelligence tasks. However, the increasing model size has raised challenges in emplo…
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
Convolutional neural networks (CNNs) have achieved great success on grid-like data such as images, but face tremendous challenges in learning from more generic data such as graphs.…
Supersingular representations of rank 1 groups
Karol Koziol
We prove that any connected reductive group of semisimple -rank 1 over a -adic field admits an irreducible admissible supersingular mod- representation. This establishes o…
Learning Convolutional Text Representations for Visual Question Answering
Zhengyang Wang, Shuiwang Ji
Visual question answering is a recently proposed artificial intelligence task that requires a deep understanding of both images and texts. In deep learning, images are typically mo…
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions
Zhengyang Wang, Hao Yuan, Shuiwang Ji
The key idea of variational auto-encoders (VAEs) resembles that of traditional auto-encoder models in which spatial information is supposed to be explicitly encoded in the latent s…
Pixel Deconvolutional Networks
Hongyang Gao, Hao Yuan, Zhengyang Wang +1
Deconvolutional layers have been widely used in a variety of deep models for up-sampling, including encoder-decoder networks for semantic segmentation and deep generative models fo…