18 citations · 63 across the 12 of their papers we have counts for
11 papers
Rethinking Minimal Sufficient Representation in Contrastive Learning
Haoqing Wang, Xun Guo, Zhi-Hong Deng +1
Contrastive learning between different views of the data achieves outstanding success in the field of self-supervised representation learning and the learned representations are us…
GSR: Global Graph Guided Session-based Recommendation
Zhi-Hong Deng, Chang-Dong Wang, Ling Huang +2
Session-based recommendation tries to make use of anonymous session data to deliver high-quality recommendation under the condition that user-profiles and the complete historical b…
Adaptive Appearance Rendering
Mengyao Zhai, Ruizhi Deng, Jiacheng Chen +3
We propose an approach to generate images of people given a desired appearance and pose. Disentangled representations of pose and appearance are necessary to handle the compound va…
Policy Message Passing: A New Algorithm for Probabilistic Graph Inference
Zhiwei Deng, Greg Mori
A general graph-structured neural network architecture operates on graphs through two core components: (1) complex enough message functions; (2) a fixed information aggregation pro…
Continuous Graph Flow
Zhiwei Deng, Megha Nawhal, Lili Meng +1
In this paper, we propose Continuous Graph Flow, a generative continuous flow based method that aims to model complex distributions of graph-structured data. Once learned, the mode…
Structured Label Inference for Visual Understanding
Nelson Nauata, Hexiang Hu, Guang-Tong Zhou +3
Visual data such as images and videos contain a rich source of structured semantic labels as well as a wide range of interacting components. Visual content could be assigned with f…