no code implementations • ACL 2020 • Ruichu Cai, Zhihao Liang, Boyan Xu, Zijian Li, Yuexing Hao, Yao Chen
Existing leading code comment generation approaches with the structure-to-sequence framework ignores the type information of the interpretation of the code, e. g., operator, string, etc.
no code implementations • 7 Jul 2022 • Huabin Diao, Gongyan Li, Shaoyun Xu, Yuexing Hao
For ResNet18 and MobileNetV2, the post-training quantization proposed in this paper only require 1, 024 training data and 10 minutes to complete the quantization process, which can achieve quantization performance on par with quantization aware training.
1 code implementation • 13 Jan 2022 • Ruichu Cai, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu
By explicitly Reconstructing Exposure STrategies (REST in short), we formalize the recommendation problem as the counterfactual reasoning and propose the debiased social recommendation method.
1 code implementation • 14 Nov 2021 • Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang
To achieve this, we firstly formalize sequential recommendation as a problem to estimate conditional probability given temporal dynamic heterogeneous graphs and user behavior sequences.
2 code implementations • ACL 2017 • Suncong Zheng, Feng Wang, Hongyun Bao, Yuexing Hao, Peng Zhou, Bo Xu
Joint extraction of entities and relations is an important task in information extraction.
Ranked #3 on Relation Extraction on NYT-single