activity
20192021
most citedGCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

787 citations · 826 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SE202111 cited

Augmenting Decompiler Output with Learned Variable Names and Types

Qibin Chen, Jeremy Lacomis, Edward J. Schwartz +3

A common tool used by security professionals for reverse-engineering binaries found in the wild is the decompiler. A decompiler attempts to reverse compilation, transforming a bina…

cs.LG2020787 cited

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

Jiezhong Qiu, Qibin Chen, Yuxiao Dong +5

Graph representation learning has emerged as a powerful technique for addressing real-world problems. Various downstream graph learning tasks have benefited from its recent develop…

cs.CL2019

Towards Knowledge-Based Recommender Dialog System

Qibin Chen, Junyang Lin, Yichang Zhang +4

In this paper, we propose a novel end-to-end framework called KBRD, which stands for Knowledge-Based Recommender Dialog System. It integrates the recommender system and the dialog…

cs.CL201928 cited

Cognitive Graph for Multi-Hop Reading Comprehension at Scale

Ming Ding, Chang Zhou, Qibin Chen +2

We propose a new CogQA framework for multi-hop question answering in web-scale documents. Inspired by the dual process theory in cognitive science, the framework gradually builds a…

cs.CL2019

Towards Knowledge-Based Personalized Product Description Generation in E-commerce

Qibin Chen, Junyang Lin, Yichang Zhang +3

Quality product descriptions are critical for providing competitive customer experience in an e-commerce platform. An accurate and attractive description not only helps customers m…