I am a Machine Learning Researcher at Apple AI/ML, Foundation Models.

Publications

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues
ICSE 2022 / arXiv / GitHub

Augmenting Decompiler Output with Learned Variable Names and Types
Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
USENIX Security 2022 (Distinguished Paper Award) / arXiv / GitHub

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang
KDD 2020 (Most cited in KDD’20) / arXiv / GitHub

CogDL: An Extensive Toolkit for Deep Learning on Graphs
Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang
Preprint 2021 / arXiv / GitHub / Website

Towards Knowledge-Based Recommender Dialog System
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang
EMNLP 2019 / arXiv / GitHub

Cognitive Graph for Multi-Hop Reading Comprehension at Scale
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang
ACL 2019 (Oral) / arXiv / GitHub

Towards Knowledge-Based Personalized Product Description Generation in E-commerce
Qibin Chen*, Junyang Lin*, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang
KDD 2019 (Applied Data Science Track) / arXiv / GitHub

Awards

Distinguished Paper Award, USENIX Security, 2022
Research Fellowship, Carnegie Mellon University
Outstanding Undergraduate Thesis, Tsinghua University
Outstanding Graduate, Tsinghua University
Qualcomm Scholarship
Academic Excellence Award, Tsinghua University