2022

doi dblp
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking
Qian Dong | Yiding Liu | Suqi Cheng | Shuaiqiang Wang | Zhicong Cheng | Shuzi Niu | Dawei Yin
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

2021

doi dblp
Position Enhanced Mention Graph Attention Network for Dialogue Relation Extraction
Xinwei Long | Shuzi Niu | Yucheng Li
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

doi dblp
Legal Judgment Prediction via Relational Learning
Qian Dong | Shuzi Niu
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

2019

doi dblp
Hierarchical Matching Network for Crime Classification
Pengfei Wang | Yu Fan | Shuzi Niu | Ze Yang | Yongfeng Zhang | Jiafeng Guo
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019

2018

doi dblp
K-plet Recurrent Neural Networks for Sequential Recommendation
Xiang Lin | Shuzi Niu | Yiqiao Wang | Yucheng Li
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

doi dblp
Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles
Pengfei Wang | Ze Yang | Shuzi Niu | Yongfeng Zhang | Lei Zhang | Shaozhang Niu
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

2017

doi dblp
Collaborative Sequence Prediction for Sequential Recommender
Shuzi Niu | Rongzhi Zhang
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

2015

doi dblp
Which noise affects algorithm robustness for learning to rank
Shuzi Niu | Yanyan Lan | Jiafeng Guo | Shengxian Wan | Xueqi Cheng
2015 Volume 18 Issue 3

doi dblp
Listwise Approach for Rank Aggregation in Crowdsourcing
Shuzi Niu | Yanyan Lan | Jiafeng Guo | Xueqi Cheng | Lei Yu | Guoping Long
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015

2014

doi dblp
What makes data robust: a data analysis in learning to rank
Shuzi Niu | Yanyan Lan | Jiafeng Guo | Xueqi Cheng | Xiubo Geng
The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014

doi dblp
Learning for search result diversification
Yadong Zhu | Yanyan Lan | Jiafeng Guo | Xueqi Cheng | Shuzi Niu
The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014

2013

doi dblp
Is top-k sufficient for ranking?
Yanyan Lan | Shuzi Niu | Jiafeng Guo | Xueqi Cheng
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013

2012

doi dblp
Top-k learning to rank: labeling, ranking and evaluation
Shuzi Niu | Jiafeng Guo | Yanyan Lan | Xueqi Cheng
The 35th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '12, Portland, OR, USA, August 12-16, 2012

doi dblp
A new probabilistic model for top-k ranking problem
Shuzi Niu | Yanyan Lan | Jiafeng Guo | Xueqi Cheng
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012

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