Zheng Zhang

发表

Learning Enhanced Representations for Tabular Data via Neighborhood Propagation

Weinan Zhang, D. Wipf, Quan Gan, 2022, Neural Information Processing Systems.

Learning Hierarchical Graph Neural Networks for Image Clustering pdf

Stefano Soatto, Tong He, Yuanjun Xiong, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

SSEGCN: Syntactic and Semantic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis

Zheng Zhang, Zili Zhou, Yanna Wang, 2022, NAACL.

Learning Enhanced Representations for Tabular Data via Neighborhood Propagation

Weinan Zhang, D. Wipf, Quan Gan, 2022, ArXiv.

Refined Edge Usage of Graph Neural Networks for Edge Prediction

Weinan Zhang, D. Wipf, Quan Gan, 2022, 2212.12970.

Self-supervised Amodal Video Object Segmentation

Tianjun Xiao, D. Wipf, Yanwei Fu, 2022, NeurIPS.

Why Propagate Alone? Parallel Use of Labels and Features on Graphs pdf

Quan Gan, David Wipf, Jiuhai Chen, 2021, ICLR.

W HY P ROPAGATE A LONE ? P ARALLEL U SE OF L ABELS AND F EATURES ON G RAPHS

Weinan Zhang, D. Wipf, Quan Gan, 2022 .

Bag of Tricks for Node Classification with Graph Neural Networks

Yong Yu, David Wipf, Weinan Zhang, 2021, 2103.13355.

ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training

D. Wipf, Quan Gan, Xiang Song, 2023, ArXiv.

GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction

Tianjun Xiao, Junchi Yan, D. Wipf, 2021, NeurIPS.

GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network

Alexander J. Smola, Weinan Zhang, Yuchen Fang, 2020, ACM Trans. Inf. Syst..

Supplementary Material for GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction

Tianjun Xiao, Junchi Yan, D. Wipf, 2021 .