Shuzi Niu

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 27

Top Topics

Learning To Rank

Named Entity Recognition

Top Venues

Publications

Xuanji Xiao, Huaqiang Dai, Qian Dong, Shuzi Niu, Yuzhen Liu, Pei Liu
Social4Rec: Distilling User Preference from Social Graph for Video Recommendation in Tencent. CoRR (2023)
Wenjia Wu, Changyou Zhang, Shuzi Niu, Lin Shi
Unify the Usage of Lexicon in Chinese Named Entity Recognition. DASFAA (3) (2023)
Xuanji Xiao, Huaqiang Dai, Qian Dong, Shuzi Niu, Yuzhen Liu, Pei Liu
Incorporating Social-Aware User Preference for Video Recommendation. WISE (2023)
Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. CoRR (2022)
Qian Dong, Shuzi Niu, Tao Yuan, Yucheng Li
Disentangled Graph Recurrent Network for Document Ranking. Data Sci. Eng. 7 (1) (2022)
Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. SIGIR (2022)
Xinwei Long, Shuzi Niu, Yucheng Li
Position Enhanced Mention Graph Attention Network for Dialogue Relation Extraction. SIGIR (2021)
Qian Dong, Shuzi Niu
Legal Judgment Prediction via Relational Learning. SIGIR (2021)
Tao Yuan, Shuzi Niu, Huiyuan Li
Topological Interpretable Multi-scale Sequential Recommendation. DASFAA (3) (2021)
Qian Dong, Shuzi Niu
Latent Graph Recurrent Network for Document Ranking. DASFAA (2) (2021)
Xinwei Long, Shuzi Niu, Yucheng Li
Consistent Inference for Dialogue Relation Extraction. IJCAI (2021)
Xinwei Long, Shuzi Niu, Yucheng Li
Hierarchical Region Learning for Nested Named Entity Recognition. EMNLP (Findings) (2020)
Rongzhi Zhang, Shuzi Niu, Yucheng Li
Robust Sequence Embedding for Recommendation. KSEM (2) (2020)
Minghao Liu, Fan Zhang, Pei Huang, Shuzi Niu, Feifei Ma, Jian Zhang
Learning the Satisfiability of Pseudo-Boolean Problem with Graph Neural Networks. CP (2020)
Pengfei Wang, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang, Jiafeng Guo
Hierarchical Matching Network for Crime Classification. SIGIR (2019)
Pengfei Wang, Yongfeng Zhang, Shuzi Niu, Jiafeng Guo
Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction. J. Comput. Sci. Technol. 34 (6) (2019)
Xiaoyu Shen, Hui Su, Shuzi Niu, Vera Demberg
Improving Variational Encoder-Decoders in Dialogue Generation. AAAI (2018)
Pengfei Wang, Ze Yang, Shuzi Niu, Yongfeng Zhang, Lei Zhang, Shaozhang Niu
Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles. SIGIR (2018)
Xiang Lin, Shuzi Niu, Yiqiao Wang, Yucheng Li
K-plet Recurrent Neural Networks for Sequential Recommendation. SIGIR (2018)
Xiaoyu Shen, Hui Su, Shuzi Niu, Vera Demberg
Improving Variational Encoder-Decoders in Dialogue Generation. CoRR (2018)
Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li, Shuzi Niu, Yang Zhao, Akiko Aizawa, Guoping Long
A Conditional Variational Framework for Dialog Generation. ACL (2) (2017)
Xiaoyu Shen, Hui Su, Shuzi Niu, Dietrich Klakow
Wake-Sleep Variational Autoencoders for Language Modeling. ICONIP (1) (2017)
Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li, Shuzi Niu, Yang Zhao, Akiko Aizawa, Guoping Long
A Conditional Variational Framework for Dialog Generation. CoRR (2017)
Shuzi Niu, Rongzhi Zhang
Collaborative Sequence Prediction for Sequential Recommender. CIKM (2017)
Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, Shuzi Niu
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset. CoRR (2017)
Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, Shuzi Niu
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset. IJCNLP(1) (2017)
Ning Bu, Shuzi Niu, Lei Yu, Wenjing Ma, Guoping Long
Bridging Semantic Gap Between App Names: Collective Matrix Factorization for Similar Mobile App Recommendation. WISE (2) (2016)
Ning Bu, Lei Yu, Wenjing Ma, Changying Du, Shuzi Niu, Guoping Long
Detect Similar Mobile Applications with Transfer Learning. SmartCity (2015)
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Lei Yu, Guoping Long
Listwise Approach for Rank Aggregation in Crowdsourcing. WSDM (2015)
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Shengxian Wan, Xueqi Cheng
Which noise affects algorithm robustness for learning to rank. Inf. Retr. J. 18 (3) (2015)
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Xiubo Geng
What makes data robust: a data analysis in learning to rank. SIGIR (2014)
Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Shuzi Niu
Learning for search result diversification. SIGIR (2014)
Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, Xueqi Cheng
Position-Aware ListMLE: A Sequential Learning Process for Ranking. UAI (2014)
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
Stochastic Rank Aggregation. CoRR (2013)
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
Stochastic Rank Aggregation. UAI (2013)
Yanyan Lan, Shuzi Niu, Jiafeng Guo, Xueqi Cheng
Is top-k sufficient for ranking? CIKM (2013)
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
Top-k learning to rank: labeling, ranking and evaluation. SIGIR (2012)
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
A new probabilistic model for top-k ranking problem. CIKM (2012)
Shuzi Niu, Daling Wang, Shi Feng, Ge Yu
An Improved Spectral Clustering Algorithm for Community Discovery. HIS (3) (2009)