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Shuzi Niu
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2020 – today
- 2023
- [c30]Wenjia Wu, Changyou Zhang, Shuzi Niu, Lin Shi:
Unify the Usage of Lexicon in Chinese Named Entity Recognition. DASFAA (3) 2023: 665-681 - [c29]Xuanji Xiao, Huaqiang Dai, Qian Dong, Shuzi Niu, Yuzhen Liu, Pei Liu:
Incorporating Social-Aware User Preference for Video Recommendation. WISE 2023: 544-558 - [i6]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 abs/2302.09971 (2023) - 2022
- [j3]Qian Dong, Shuzi Niu
, Tao Yuan
Disentangled Graph Recurrent Network for Document Ranking. Data Sci. Eng. 7(1): 30-43 (2022) - [c28]Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. SIGIR 2022: 1490-1501 - [i5]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 abs/2204.11673 (2022) - 2021
- [c27]Tao Yuan
Topological Interpretable Multi-scale Sequential Recommendation. DASFAA (3) 2021: 53-68 - [c26]Qian Dong, Shuzi Niu
Latent Graph Recurrent Network for Document Ranking. DASFAA (2) 2021: 88-103 - [c25]Xinwei Long, Shuzi Niu
Consistent Inference for Dialogue Relation Extraction. IJCAI 2021: 3885-3891 - [c24]Qian Dong, Shuzi Niu
Legal Judgment Prediction via Relational Learning. SIGIR 2021: 983-992 - [c23]Xinwei Long, Shuzi Niu
Position Enhanced Mention Graph Attention Network for Dialogue Relation Extraction. SIGIR 2021: 1985-1989 - 2020
- [c22]Minghao Liu
Learning the Satisfiability of Pseudo-Boolean Problem with Graph Neural Networks. CP 2020: 885-898 - [c21]Xinwei Long, Shuzi Niu
Hierarchical Region Learning for Nested Named Entity Recognition. EMNLP (Findings) 2020: 4788-4793 - [c20]Rongzhi Zhang, Shuzi Niu, Yucheng Li:
Robust Sequence Embedding for Recommendation. KSEM (2) 2020: 114-122
2010 – 2019
- 2019
- [j2]Pengfei Wang
Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction. J. Comput. Sci. Technol. 34(6): 1230-1240 (2019) - [c19]Pengfei Wang
Hierarchical Matching Network for Crime Classification. SIGIR 2019: 325-334 - 2018
- [c18]Xiaoyu Shen, Hui Su, Shuzi Niu, Vera Demberg:
Improving Variational Encoder-Decoders in Dialogue Generation. AAAI 2018: 5456-5463 - [c17]Pengfei Wang
Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles. SIGIR 2018: 485-494 - [c16]Xiang Lin, Shuzi Niu, Yiqiao Wang, Yucheng Li:
K-plet Recurrent Neural Networks for Sequential Recommendation. SIGIR 2018: 1057-1060 - [i4]Xiaoyu Shen, Hui Su, Shuzi Niu, Vera Demberg:
Improving Variational Encoder-Decoders in Dialogue Generation. CoRR abs/1802.02032 (2018) - 2017
- [c15]Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li
A Conditional Variational Framework for Dialog Generation. ACL (2) 2017: 504-509 - [c14]Shuzi Niu, Rongzhi Zhang:
Collaborative Sequence Prediction for Sequential Recommender. CIKM 2017: 2239-2242 - [c13]Xiaoyu Shen, Hui Su, Shuzi Niu, Dietrich Klakow:
Wake-Sleep Variational Autoencoders for Language Modeling. ICONIP (1) 2017: 405-414 - [c12]Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, Shuzi Niu:
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset. IJCNLP(1) 2017: 986-995 - [i3]Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li, Shuzi Niu, Yang Zhao, Akiko Aizawa, Guoping Long:
A Conditional Variational Framework for Dialog Generation. CoRR abs/1705.00316 (2017) - [i2]Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, Shuzi Niu:
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset. CoRR abs/1710.03957 (2017) - 2016
- [c11]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: 324-339 - 2015
- [j1]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Shengxian Wan, Xueqi Cheng:
Which noise affects algorithm robustness for learning to rank. Inf. Retr. J. 18(3): 215-245 (2015) - [c10]Ning Bu, Lei Yu, Wenjing Ma, Changying Du, Shuzi Niu, Guoping Long:
Detect Similar Mobile Applications with Transfer Learning. SmartCity 2015: 856-859 - [c9]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Lei Yu, Guoping Long:
Listwise Approach for Rank Aggregation in Crowdsourcing. WSDM 2015: 253-262 - 2014
- [c8]Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Shuzi Niu:
Learning for search result diversification. SIGIR 2014: 293-302 - [c7]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Xiubo Geng:
What makes data robust: a data analysis in learning to rank. SIGIR 2014: 1191-1194 - [c6]Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, Xueqi Cheng:
Position-Aware ListMLE: A Sequential Learning Process for Ranking. UAI 2014: 449-458 - 2013
- [c5]Yanyan Lan, Shuzi Niu, Jiafeng Guo, Xueqi Cheng:
Is top-k sufficient for ranking? CIKM 2013: 1261-1270 - [c4]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Stochastic Rank Aggregation. UAI 2013 - [i1]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Stochastic Rank Aggregation. CoRR abs/1309.6852 (2013) - 2012
- [c3]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
A new probabilistic model for top-k ranking problem. CIKM 2012: 2519-2522 - [c2]Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Top-k learning to rank: labeling, ranking and evaluation. SIGIR 2012: 751-760
2000 – 2009
- 2009
- [c1]Shuzi Niu, Daling Wang, Shi Feng, Ge Yu:
An Improved Spectral Clustering Algorithm for Community Discovery. HIS (3) 2009: 262-267
Coauthor Index
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