About Me
I am currently an algorithm engineer at Alibaba Group. At present, I work on projects related with vision-language pre-training and product understanding.
Experience
[2022.07 - Now] Algorithm engineer at Alibaba Group.
[2022.01 - 2022.06] Intern algorithm engineer at Alibaba Group.
[2019.09 - 2022.06] Northeastern University, under the supervision of Dr. Feiliang Ren.
[2015.09 - 2019.07] Shandong Agricultural University, Computer Science and Technology.
News
[2022.10] One paper was accepted by WSDM 2023.
[2021.08] Two papers were accepted by EMNLP 2021 and NLPCC 2021.
[2020.06] Ranked third in the machine reading comprehension task of 2020 Language and Intelligence Challenge.
[2020.04] Ranked second in the subtask B of task 4 of International Workshop on Semantic Evaluation 2020.
Publications
2023
Multimodal Pre-Training with Self-Distillation for Product Understanding in E-Commerce
Shilei Liu, Lin Li, Jun Song, Yonghua Yang and Xiaoyi Zeng.
The 16th ACM International Conference on Web Search and Data Mining (WSDM'23).
2022
An Understanding-Oriented Robust Machine Reading Comprehension Model
Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu and Qi Ma.
ACM Transactions on Asian and Low-Resource Language Information Processing.
Deep Understanding based Multi-Document Machine Reading Comprehension
Feiliang Ren, Yongkang Liu, Bochao Li, Zhibo Wang, Yu Guo, Shilei Liu, Huimin Wu, Jiaqi Wang, Chunchao Liu and Bingchao Wang.
ACM Transactions on Asian and Low-Resource Language Information Processing.
A Simple but Effective Bidirectional Framework for Relational Triple Extraction
Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu and Bochao Li.
The 15th ACM International Conference on Web Search and Data Mining (WSDM'22).
2021
A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation
Shilei Liu, Xiaofeng Zhao, Bochao Li, Feiliang Ren, Longhui Zhang and Shujuan Yin.
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP'21).
A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling
Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li and Yaduo Liu.
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP'21).
A Conditional Cascade Model for Relational Triple Extraction
Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu and Bochao Li.
ACM International Conference on Information and Knowledge Management (CIKM'21).
Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection
Shilei Liu, Xiaofeng Zhao, Bochao Li and Feiliang Ren.
The 9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC'21).
2020
Knowledge Graph Embedding with Atrous Convolution and Residual Learning
Feiliang Ren, Juchen Li, Huihui Zhang, Shilei Liu, Bochao Li, Ruicheng Ming and Yujia Bai.
The 28th International Conference on Computational Linguistics (COLING'20).
LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Pretraining Language Model
Shilei Liu, Yu Guo, Bochao Li and Feiliang Ren.
International Workshop on Semantic Evaluation (SemEval'20).
Early Projects
[2019.07] CoupletAI: A couplet AI system implemented with PyTorch. Given the first line of a couplet, our system can predict the second line.
[2019.01] libkdtree: A KD-Tree model written in C++ with C and Python bindings. In big data and high-dimensional scenarios, the performance of the K-nearest neighbor algorithm based on our library is much higher than that of the scikit-learn library.
[2018.04] ProxyPool: An IP proxy pool implemented in Python which can automatically crawl and verify the proxy IP from the internet (300+ stars in Github).
[2017.03] plume: A lightweight library that implements some common machine learning and linear algebra algorithms with Python and NumPy.