activity
20202024
most citedReClor: A Reading Comprehension Dataset Requiring Logical Reasoning

133 citations · 159 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024

Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents

Yanfei Dong, Lambert Deng, Jiazheng Zhang +5

Documents that consist of diverse templates and exhibit complex spatial structures pose a challenge for document entity classification. We propose KNN-former, which incorporates a…

cs.LG2024★ 2 cited

PF-GNN: Differentiable particle filtering based approximation of universal graph representations

Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee

Message passing Graph Neural Networks (GNNs) are known to be limited in expressive power by the 1-WL color-refinement test for graph isomorphism. Other more expressive models eithe…

cs.LG2023

Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-Smoothing

Guoji Fu, Mohammed Haroon Dupty, Yanfei Dong +1

Implicit Graph Neural Networks (GNNs) have achieved significant success in addressing graph learning problems recently. However, poorly designed implicit GNN layers may have limite…

cs.IT2022

Joint Successive Cancellation List Decoding for the Double Polar codes

Yanfei Dong, Kai Niu, Jincheng Dai +2

As a new joint source-channel coding scheme, the double polar (D-Polar) codes have been proposed recently. In this letter, a novel joint source-channel decoder, namely the joint su…

cs.LG2020★ 24 cited

Understanding and Resolving Performance Degradation in Graph Convolutional Networks

Kuangqi Zhou, Yanfei Dong, Kaixin Wang +4

A Graph Convolutional Network (GCN) stacks several layers and in each layer performs a PROPagation operation (PROP) and a TRANsformation operation (TRAN) for learning node represen…

cs.CL2020★ 133 cited

ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning

Weihao Yu, Zihang Jiang, Yanfei Dong +1

Recent powerful pre-trained language models have achieved remarkable performance on most of the popular datasets for reading comprehension. It is time to introduce more challenging…