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Qibin Chen
Qibin Chen
Apple AI/ML
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Title
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Cited by
Year
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J Qiu, Q Chen, Y Dong, J Zhang, H Yang, M Ding, K Wang, J Tang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
8452020
Cognitive Graph for Multi-Hop Reading Comprehension at Scale
M Ding, C Zhou, Q Chen, H Yang, J Tang
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
2722019
Towards Knowledge-Based Recommender Dialog System
Q Chen, J Lin, Y Zhang, M Ding, Y Cen, H Yang, J Tang
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
2292019
Towards Knowledge-Based Personalized Product Description Generation in E-commerce
Q Chen, J Lin, Y Zhang, H Yang, J Zhou, J Tang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
912019
Cogdl: A comprehensive library for graph deep learning
Y Cen, Z Hou, Y Wang, Q Chen, Y Luo, Z Yu, H Zhang, X Yao, A Zeng, ...
Proceedings of the ACM Web Conference 2023, 747-758, 2023
51*2023
Augmenting Decompiler Output with Learned Variable Names and Types
Q Chen, J Lacomis, EJ Schwartz, CL Goues, G Neubig, B Vasilescu
31st {USENIX} Security Symposium ({USENIX} Security 22), 2021
362021
Varclr: Variable semantic representation pre-training via contrastive learning
Q Chen, J Lacomis, EJ Schwartz, G Neubig, B Vasilescu, CL Goues
Proceedings of the 44th International Conference on Software Engineering …, 2022
322022
Hierarchical Deep Reinforcement Learning Agent with Counter Self-play on Competitive Games
H Xu*, K Paster*, Q Chen*, H Tang, P Abbeel, T Darrell, S Levine
32018
Local Clustering Graph Neural Networks
J Qiu, Y Cen, Q Chen, C Zhou, J Zhou, H Yang, J Tang
12020
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Articles 1–9