Ruobing Xie (谢若冰)

 

Senior Researcher
WeChat, Tencent (Beijing).

Graduated from Natural Language Processing Lab,
Department of Computer Science and Technology,
Tsinghua University, Beijing, China.,

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


Bio | Publications | Education and Experience | Awards | Academic Services


Bio

Ruobing Xie is a senior researcher of WeChat, Tencent. He received his BEng degree in 2014 and his master degree in 2017 from the Department of Computer Science and Technology, Tsinghua University. His research interests include recommender system, knowledge graph and natural language processing. He has published over 50 papers in top-tier conferences and journals including KDD, WWW, SIGIR, ACL, AAAI, NeurIPS and TKDE, with 1400+ citations according to Google Scholar. He is a member of Chinese Information Processing Society of China (CIPS), Youth Working Committee. He serves as SPC/PC members of IJCAI, KDD, WWW, ICML, NeurIPS, ACL, AAAI, etc.

News

Publications

Journal and Conference Papers

    2022

  1. Ruobing Xie*, Shaoliang Zhang*, Rui Wang, Feng Xia and Leyu Lin. A Peep into the Future: Adversarial Future Encoding in Recommendation. The 15th International Conference on Web Search and Data Mining (WSDM'22). Long paper.
  2. Ruobing Xie*, Yalong Wang*, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin. Long Short-Term Temporal Meta-learning in Online Recommendation. The 15th International Conference on Web Search and Data Mining (WSDM'22). Long paper.
  3. Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin and Qing He. Personalized Transfer of User Preferences for Cross-domain Recommendation. The 15th International Conference on Web Search and Data Mining (WSDM'22). Long paper.

    2021

  4. Hong Chen*, Yudong Chen*, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu. Curriculum Disentangled Recommendation with Noisy Multi-feedback. The 35th Conference on Neural Information Processing Systems (NeurIPS'21). Long paper.
  5. Ruobing Xie*, Shaoliang Zhang*, Rui Wang, Feng Xia and Leyu Lin. Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. The 30th ACM International Conference on Information and Knowledge Management (CIKM'21). Long paper. [pdf] [codes].
  6. Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang and Ji-Rong Wen. USER: A Unified Search and Recommendation Model based on Integrated Behavior Sequence. The 30th ACM International Conference on Information and Knowledge Management (CIKM'21). Long paper. [pdf] [codes].
  7. Ruobing Xie*, Qi Liu*, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang and Leyu Lin. Improving Accuracy and Diversity in Recommendation with Heterogeneous Graph Neural Networks. IEEE Transactions on Big Data. Journal. (* indicates equal contribution). [pdf] [codes].
  8. Haomin Yu*, Mingfei Liang*, Ruobing Xie*, Zhenlong Sun, Bo Zhang and Leyu Lin. MMNet: Multi-Granularity Multi-Mode Network for Item-Level Share Rate Prediction. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'21). Long paper. (* indicates equal contribution) [pdf] [codes].
  9. Xiaobo Hao*, Yudan Liu*, Ruobing Xie*, Kaikai Ge, Linyao Tang, Xu Zhang and Leyu Lin. Adversarial Feature Translation for Multi-domain Recommendation. The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21). Long paper. (* indicates equal contribution) [pdf] [codes].
  10. Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao. Learn to Expand Audience via Meta Hybrid Experts and Critics. The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21). Long paper. [pdf] [codes].
  11. Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li and Ji Liu. Incorporating Global Information in Local Attention for Knowledge Representation Learning. The 59th Annual Meeting of the Association for Computational Linguistics (ACL'21). Findings. [pdf].
  12. Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin and Juan Cao. Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'21). Long paper. [pdf]
  13. Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen. Group based Personalized Search by Integrating Search Behaviour and Friend Network. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'21). Long paper. [pdf] [codes]
  14. Chen Li, Wei Wang, Yuanfu Lu, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin. Package Recommendation with Intra- and Inter-Package Attentive Networks. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'21). Long paper. [pdf] [codes]
  15. Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He. Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'21). Short paper. [pdf]
  16. Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin and Maosong Sun. Open Hierarchical Relation Extraction. 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'21). Long paper. [pdf] [codes]
  17. Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip Yu. Understanding WeChat User Preferences and “Wow” Diffusion. IEEE Transactions on Knowledge and Data Engineering (TKDE). Journal. [pdf] [codes]
  18. Ruobing Xie*, Yanlei Liu*, Shaoliang Zhang, Rui Wang, Feng Xia and Leyu Lin. Personalized Approximate Pareto-Efficient Recommendation. The 30th Web Conference (WWW'21). Long paper. (* indicates equal contribution). [pdf] [codes]
  19. Zheni Zeng*, Chaojun Xiao*, Yuan Yao, Ruobing Xie*, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun. Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. Frontiers in Big Data. Journal. (* indicates equal contribution). [pdf]
  20. Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin. UPRec: User-Aware Pre-training for Recommender Systems. In arXiv:2102.10989. [pdf]
  21. Yu Zhao, Zhiquan Li, Wei Deng, Ruobing Xie, Qing Li. Learning Entity Type Structured Embeddings with Trustworthiness on Noisy Knowledge Graphs. Knowledge-Based Systems (KBS). Journal. [link] [codes]
  22. Ruobing Xie*, Shaoliang Zhang*, Rui Wang, Feng Xia and Leyu Lin. Hierarchical Reinforcement Learning for Integrated Recommendation. The 35th AAAI Conference on Artificial Intelligence (AAAI'21). Long paper. (* indicates equal contribution). [pdf] [codes]
  23. Ruobing Xie*, Rui Wang*, Shaoliang Zhang, Zhihong Yang, Feng Xia and Leyu Lin. Real-time Relevant Recommendation Suggestion. The 14th ACM International Conference on Web Search and Data Mining (WSDM'21). Long paper. (* indicates equal contribution). [pdf] [codes]

    2020

  24. Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin and Maosong Sun. Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. The 28th International Conference on Computational Linguistics (COLING'20). Long paper. [pdf] [codes]
  25. Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin and Leyu Lin. Denoising Relation Extraction from Document-level Distant Supervision. The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP'20). Short paper. [pdf] [codes]
  26. Qi Liu*, Ruobing Xie*, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang, Leyu Lin. Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. The 29th ACM International Conference on Information and Knowledge Management (CIKM'20). Long paper. (* indicates equal contribution). [pdf] [codes] [talk]
  27. Ruobing Xie, Yanan Lu, Fen Lin Leyu Lin. FAQ-based Question Answering via Knowledge Anchors. The 9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC'20). Long paper. [pdf]
  28. Weilong Chen, Feng Hong, Chenghao Huang, Shaoliang Zhang, Rui Wang, Ruobing Xie, Feng Xia, Leyu Lin, Yanru Zhang, Yan Wang. Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection. The 28th ACM International Conference on Multimedia (MM'20). ACM MM Grand Challenges. [pdf]
  29. Fanchao Qi, Ruobing Xie, Yuan Zang, Zhiyuan Liu, Maosong Sun. Sememe Knowledge Computation: A Review of Recent Advances in Application and Expansion of Sememe Knowledge Bases. Frontiers of Computer Science. Journal. [pdf]
  30. Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin. Social Influence Attentive Neural Network for Friend-enhanced Recommendation. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'20). Long paper. [pdf] [codes]
  31. 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. (* indicates equal contribution). [pdf] [codes]
  32. 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. (* indicates equal contribution). [pdf] [codes]
  33. 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. [pdf] [codes]
  34. 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. [pdf] [codes]

    2019

  35. 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]
  36. 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

  37. 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]
  38. 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]
  39. 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. (* indicates equal contribution). [pdf][codes]
  40. 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]
  41. Yankai Lin, Xu Han, Ruobing Xie, Zhiyuan Liu, Maosong Sun. Knowledge Representation Learning: A Quantitative Review. In arXiv:1812.10901. [pdf]

    2017

  42. 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]
  43. 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]
  44. 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. (* indicates equal contribution). [pdf][codes]
  45. 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

  46. Ruobing Xie, Zhiyuan Liu, Rui Yan, Maosong Sun. Neural Emoji Recommendation in Dialogue Systems. In arXiv:1612.04609. [pdf]
  47. 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]
  48. 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]
  49. 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]
  50. 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]
  51. Zhiyuan Liu, Maosong Sun, Yankai Lin, Ruobing Xie. Knowledge Representation Learning: A Review. Journal of Computer Research and Development, 2016. (In Chinese). [pdf]

Education and Experience

Awards

Academic Services