Ruobing Xie (谢若冰)

 
Natural Language Processing Lab,
Department of Computer Science and Technology,
Tsinghua University, Beijing, China.,
Researcher, WeChat, Tencent (Beijing).

Email: xrbsnowing [at] 163.com
Google scholar: Ruobing Xie
Research Interests: NLP, Information Extraction, Recommender system


Publications | Education and Experience | Awards | Academic Services


News

Publications

Journal and Conference Papers

    2020

  1. Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin. Social Influence Attentive Neural Network for Friends-like Recommendation. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'20). Long paper.
  2. Ruobing Xie*, Zhijie Qiu*, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin. Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation. The 29th International Joint Conference on Artificial Intelligence (IJCAI'20). Long paper.
  3. Ruobing Xie*, Cheng Ling*, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin. Deep Feedback Network for Recommendation. The 29th International Joint Conference on Artificial Intelligence (IJCAI'20). Long paper.
  4. Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu and Xiaojie Wang. Connecting Embeddings for Knowledge Graph Entity Typing. The 58th Annual Meeting of the Association for Computational Linguistics (ACL'20). Long paper.
  5. Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun. Neural Snowball for Few-Shot Relation Learning. The 34th AAAI Conference on Artificial Intelligence (AAAI'20). Long paper.

    2019

  6. Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin and Maosong Sun. Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data. 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP'19). Long paper. [pdf] [codes]
  7. Ruobing Xie, Yanan Lu, Fen Lin, Leyu Lin. FAQ-based Question Answering via Knowledge Anchors. In arXiv:1911.05930. [pdf]
  8. Ruobing Xie, Stefan Heinrich, Zhiyuan Liu, Cornelius Weber, Yuan Yao, Stefan Wermter, Maosong Sun. Integrating Image-based and Knowledge-based Representation Learning. IEEE Transactions on Cognitive and Developmental Systems (ICDS'19) . [pdf]

    2018

  9. Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin and Leyu Lin. Language Modeling with Sparse Product of Sememe Experts. 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP'18). Long paper. [pdf][codes]
  10. Fanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie and Zhiyuan Liu. Cross-lingual Lexical Sememe Prediction. 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP'18). Long paper. [pdf][codes]
  11. Huiming Jin*, Hao Zhu*, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin. Incorporating Chinese Characters of Words for Lexical Sememe Prediction. The 56th Annual Meeting of the Association for Computational Linguistics (ACL'18). Long paper. [pdf][codes]
  12. Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin. Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence. The 32th AAAI Conference on Artificial Intelligence (AAAI'18). Long paper. [pdf][codes]
  13. Yankai Lin, Xu Han, Ruobing Xie, Zhiyuan Liu, Maosong Sun. Knowledge Representation Learning: A Quantitative Review. In arXiv:1812.10901. [pdf]

    2017

  14. Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun. Image-embodied Knowledge Representation Learning. The 26th International Joint Conference on Artificial Intelligence (IJCAI'17). Long paper. [pdf][codes]
  15. Hao Zhu*, Ruobing Xie*, Zhiyuan Liu, Maosong Sun. Iterative Entity Alignment via Joint Knowledge Embeddings. The 26th International Joint Conference on Artificial Intelligence (IJCAI'17). Long paper. (* indicates equal contribution). [pdf][codes]
  16. Ruobing Xie*, Xingchi Yuan*, Zhiyuan Liu, Maosong Sun. Lexical Sememe Prediction via Word Embeddings and Matrix Factorization. The 26th International Joint Conference on Artificial Intelligence (IJCAI'17). Long paper. [pdf][codes]
  17. Yilin Niu*, Ruobing Xie*, Zhiyuan Liu, Maosong Sun. Improved Word Representation Learning with Sememes. The 55th Annual Meeting of the Association for Computational Linguistics (ACL'17). Long paper. (* indicates equal contribution). [pdf][codes]

    2016

  18. Ruobing Xie, Zhiyuan Liu, Rui Yan, Maosong Sun. Neural Emoji Recommendation in Dialogue Systems. In arXiv:1612.04609. [pdf]
  19. Stefan Heinrich, Cornelius Weber, Stefan Wermter, Ruobing Xie, Yankai Lin, Zhiyuan Liu. Crossmodal language grounding, learning, and teaching. The 30th Conference on Neural Information Processing Systems (CoCo@NIPS'16). Workshop. [pdf]
  20. Jiawei Wu*, Ruobing Xie*, Zhiyuan Liu, Maosong Sun. Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs. In arXiv:1609.07075 (* indicates equal contribution). [pdf]
  21. Ruobing Xie, Zhiyuan Liu, Maosong Sun. Representation Learning of Knowledge Graphs with Hierarchical Types. The 25th International Joint Conference on Artificial Intelligence (IJCAI'16). Long paper. [pdf][codes]
  22. Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun. Representation Learning of Knowledge Graphs with Entity Descriptions. The 30th AAAI Conference on Artificial Intelligence (AAAI'16). Long paper. [pdf][codes]
  23. Zhiyuan Liu, Maosong Sun, Yankai Lin, Ruobing Xie. Knowledge Representation Learning: A Review. Journal of Computer Research and Development, 2016. (In Chinese). [pdf]

Patents

  1. An Iterative Entity Alignment Method and System. Application No., 201710565742.2
  2. An Sememe Prediction Method and System. Application No., 201710429027.6
  3. An Image-embodied Knowledge Representation Learning Method and System. Application No., 201710429483.0
  4. An Word Representation Learning Model with Sememe. Application No., 201710322632.3
  5. An Sequential Textual Information Based Method and System for Knowledge Representation Learning. Application No., 201610852672.4
  6. An Entity Type-embodied Method and System for Knowledge Representation Learning. Application No., 201610350225.9.
  7. An Entity Description-embodied Method and System for Knowledge Representation Learning. Application No., 201510947068.5.

Education and Experience

Awards

Academic Services