| 2026 | AAAI | FLRQ: Faster LLM Quantization with Flexible Low-Rank Matrix Sketching. | Hongyaoxing Gu, Lijuan Hu, Shuzi Niu, Fangfang Liu |
| 2026 | AAAI | Factorization-in-Loop: Proximal Fill-in Minimization for Sparse Matrix Reordering. | Ziwei Li, Shuzi Niu, Tao Yuan, Huiyuan Li, Wenjia Wu |
| 2026 | DASFAA | Self-supervised Learning for Sparse Matrix Reordering. | Ziwei Li, Tao Yuan, Fangfang Liu, Shuzi Niu, Huiyuan Li, Wenjia Wu |
| 2025 | DASFAA | Bridging the Gap Between Sparse Matrix Reordering and Factorization: A Deep Learning Framework for Fill-in Reduction. | Ziwei Li, Tao Yuan, Shuzi Niu, Huiyuan Li |
| 2025 | IJCNN | Multigrid-Inspired Graph Neural Networks for Selection of Solvers and Preconditioners in Sparse Linear Systems. | Xingyu Zhou, Shuzi Niu, Huiyuan Li, Tao Yuan, Ziwei Li |
| 2025 | PRICAI | Prompt Efficient Generation Agent for Skin Lesion Segmentation. | Xinxu Xie, Minghao Kong, Yu Xin, Chen Xu, Shuzi Niu |
| 2025 | WWW | Token Graph Generation for Robust Named Entity Recognition. | Wenjia Wu, Shuzi Niu, Ziwei Li, Tao Yuan, Weijia Xu |
| 2023 | DASFAA | Unify the Usage of Lexicon in Chinese Named Entity Recognition. | Wenjia Wu, Changyou Zhang, Shuzi Niu, Lin Shi |
| 2023 | WISE | Incorporating Social-Aware User Preference for Video Recommendation. | Xuanji Xiao, Huaqiang Dai, Qian Dong, Shuzi Niu, Yuzhen Liu, Pei Liu |
| 2022 | SIGIR | 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 |
| 2021 | DASFAA | Latent Graph Recurrent Network for Document Ranking. | Qian Dong, Shuzi Niu |
| 2021 | DASFAA | Topological Interpretable Multi-scale Sequential Recommendation. | Tao Yuan, Shuzi Niu, Huiyuan Li |
| 2021 | IJCAI | Consistent Inference for Dialogue Relation Extraction. | Xinwei Long, Shuzi Niu, Yucheng Li |
| 2021 | SIGIR | Legal Judgment Prediction via Relational Learning. | Qian Dong, Shuzi Niu |
| 2021 | SIGIR | Position Enhanced Mention Graph Attention Network for Dialogue Relation Extraction. | Xinwei Long, Shuzi Niu, Yucheng Li |
| 2020 | CP | Learning the Satisfiability of Pseudo-Boolean Problem with Graph Neural Networks. | Minghao Liu, Fan Zhang, Pei Huang, Shuzi Niu, Feifei Ma, Jian Zhang |
| 2020 | EMNLP | Hierarchical Region Learning for Nested Named Entity Recognition. | Xinwei Long, Shuzi Niu, Yucheng Li |
| 2020 | KSEM | Robust Sequence Embedding for Recommendation. | Rongzhi Zhang, Shuzi Niu, Yucheng Li |
| 2019 | SIGIR | Hierarchical Matching Network for Crime Classification. | Pengfei Wang, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang, Jiafeng Guo |
| 2018 | AAAI | Improving Variational Encoder-Decoders in Dialogue Generation. | Xiaoyu Shen, Hui Su, Shuzi Niu, Vera Demberg |
| 2018 | SIGIR | K-plet Recurrent Neural Networks for Sequential Recommendation. | Xiang Lin, Shuzi Niu, Yiqiao Wang, Yucheng Li |
| 2018 | SIGIR | Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles. | Pengfei Wang, Ze Yang, Shuzi Niu, Yongfeng Zhang, Lei Zhang, Shaozhang Niu |
| 2017 | ACL | A Conditional Variational Framework for Dialog Generation. | Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li, Shuzi Niu, Yang Zhao, Akiko Aizawa, Guoping Long |
| 2017 | CIKM | Collaborative Sequence Prediction for Sequential Recommender. | Shuzi Niu, Rongzhi Zhang |
| 2017 | ICONIP | Wake-Sleep Variational Autoencoders for Language Modeling. | Xiaoyu Shen, Hui Su, Shuzi Niu, Dietrich Klakow |
| 2017 | IJCNLP | DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset. | Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, Shuzi Niu |
| 2016 | WISE | Bridging Semantic Gap Between App Names: Collective Matrix Factorization for Similar Mobile App Recommendation. | Ning Bu, Shuzi Niu, Lei Yu, Wenjing Ma, Guoping Long |
| 2015 | WSDM | Listwise Approach for Rank Aggregation in Crowdsourcing. | Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Lei Yu, Guoping Long |
| 2014 | SIGIR | What makes data robust: a data analysis in learning to rank. | Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Xiubo Geng |
| 2014 | SIGIR | Learning for search result diversification. | Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Shuzi Niu |
| 2014 | UAI | Position-Aware ListMLE: A Sequential Learning Process for Ranking. | Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, Xueqi Cheng |
| 2013 | CIKM | Is top-k sufficient for ranking? | Yanyan Lan, Shuzi Niu, Jiafeng Guo, Xueqi Cheng |
| 2013 | UAI | Stochastic Rank Aggregation. | Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2012 | CIKM | A new probabilistic model for top-k ranking problem. | Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2012 | SIGIR | Top-k learning to rank: labeling, ranking and evaluation. | Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2009 | HIS | An Improved Spectral Clustering Algorithm for Community Discovery. | Shuzi Niu, Daling Wang, Shi Feng, Ge Yu |