Shuzi Niu

Orcid: 0000-0001-9648-1803

According to our database1, Shuzi Niu authored at least 34 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Social4Rec: Distilling User Preference from Social Graph for Video Recommendation in Tencent.
CoRR, 2023

Incorporating Social-Aware User Preference for Video Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Unify the Usage of Lexicon in Chinese Named Entity Recognition.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Disentangled Graph Recurrent Network for Document Ranking.
Data Sci. Eng., 2022

Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Position Enhanced Mention Graph Attention Network for Dialogue Relation Extraction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Legal Judgment Prediction via Relational Learning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Consistent Inference for Dialogue Relation Extraction.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Topological Interpretable Multi-scale Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2021

Latent Graph Recurrent Network for Document Ranking.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
Robust Sequence Embedding for Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Hierarchical Region Learning for Nested Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Learning the Satisfiability of Pseudo-Boolean Problem with Graph Neural Networks.
Proceedings of the Principles and Practice of Constraint Programming, 2020

2019
Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction.
J. Comput. Sci. Technol., 2019

Hierarchical Matching Network for Crime Classification.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018
Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

K-plet Recurrent Neural Networks for Sequential Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Improving Variational Encoder-Decoders in Dialogue Generation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Wake-Sleep Variational Autoencoders for Language Modeling.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Collaborative Sequence Prediction for Sequential Recommender.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

A Conditional Variational Framework for Dialog Generation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Bridging Semantic Gap Between App Names: Collective Matrix Factorization for Similar Mobile App Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

2015
Which noise affects algorithm robustness for learning to rank.
Inf. Retr. J., 2015

Listwise Approach for Rank Aggregation in Crowdsourcing.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Detect Similar Mobile Applications with Transfer Learning.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

2014
Position-Aware ListMLE: A Sequential Learning Process for Ranking.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Learning for search result diversification.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

What makes data robust: a data analysis in learning to rank.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2013
Stochastic Rank Aggregation.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Is top-k sufficient for ranking?
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Top-k learning to rank: labeling, ranking and evaluation.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

A new probabilistic model for top-k ranking problem.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2009
An Improved Spectral Clustering Algorithm for Community Discovery.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009


  Loading...