| 2026 | ICDE | Community-Level Personalized Recommendation by Exploiting Evolving User-Item Micro-Clusters. | Xinyu Liu, Jinxia Guo, Qirui Hao, Zhongjing Yu, Qinli Yang, Junming Shao |
| 2026 | WWW | A Unified Framework for Rule Learning: Integrating Commonsense Knowledge from LLMs with Structured Knowledge from Knowledge Graphs. | Qirui Hao, Kewei Cheng, Tongze Zhang, Hongyuan Liu, Junming Shao, Carl Yang |
| 2023 | ACL | Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. | Zhong Zhang, Bang Liu, Junming Shao |
| 2023 | IJCAI | Open-world Semi-supervised Novel Class Discovery. | Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, Junming Shao |
| 2023 | INFOCOM | An End-to-end Learning Framework for Joint Compensation of Impairments in Coherent Optical Communication Systems. | Rui Zhang, Min Liao, Jun Chen, Xusong Ning, Lin Li, Qinli Yang, Yongsheng Xu, Junming Shao |
| 2022 | DASFAA | Learning Evolving Concepts with Online Class Posterior Probability. | Junming Shao, Kai Wang, Jianyun Lu, Zhili Qin, Qiming Wangyang, Qinli Yang |
| 2022 | IGARSS | Runoff Prediction in a Data Scarce Region Based on Few-Shot Learning. | Minghong Yang, Qinli Yang, Junming Shao, Guoqing Wang |
| 2022 | KDD | Visualization in Data Science VDS @ KDD 2022. | Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Mller, Adam Perer, Alexander Lex, Anamaria Crisan |
| 2021 | ICDM | Flexible, Robust, Scalable Semi-supervised Learning via Reliability Propagation. | Chen Huang, Liangxu Pan, Qinli Yang, Hongliang Wang, Junming Shao |
| 2021 | ICDM | A general framework for mining concept-drifting data streams with evolvable features. | Jiaqi Peng, Jinxia Guo, Qinli Yang, Jianyun Lu, Junming Shao |
| 2021 | KDD | VDS'21: Visualization in Data Science. | Claudia Plant, Alvitta Ottley, Liang Gou, Torsten Mller, Adam Perer, Alexander Lex, Junming Shao |
| 2021 | WWW | Learning Dynamic User Behavior Based on Error-driven Event Representation. | Honglian Wang, Peiyan Li, Wujun Tao, Bailin Feng, Junming Shao |
| 2020 | AAAI | Large-Scale Multi-View Subspace Clustering in Linear Time. | Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu |
| 2020 | ACL | An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering. | Jay Kumar, Junming Shao, Salah Uddin, Wazir Ali |
| 2020 | EMNLP | Revisiting Representation Degeneration Problem in Language Modeling. | Zhong Zhang, Chongming Gao, Cong Xu, Rui Miao, Qinli Yang, Junming Shao |
| 2020 | ICDM | Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning. | Peiyan Li, Zhili Qin, Honglian Wang, Qinli Yang, Junming Shao |
| 2020 | ICDM | Community Detection with Local Metric Learning. | Peiyan Li, Honglian Wang, Jianyun Lu, Qinli Yang, Junming Shao |
| 2020 | ICDM | Community Attention Network for Semi-supervised Node Classification. | Zhongjing Yu, Han Wang, Yang Liu, Christian Bhm, Junming Shao |
| 2020 | IJCAI | Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression. | Peiyan Li, Honglian Wang, Christian Bhm, Junming Shao |
| 2019 | DASFAA | BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation. | Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao |
| 2019 | DASFAA | Towards Robust Arbitrarily Oriented Subspace Clustering. | Zhong Zhang, Chongming Gao, Chongzhi Liu, Qinli Yang, Junming Shao |
| 2019 | DASFAA | SemiSync: Semi-supervised Clustering by Synchronization. | Zhong Zhang, Didi Kang, Chongming Gao, Junming Shao |
| 2019 | ICDM | Online Budgeted Least Squares with Unlabeled Data. | Chen Huang, Peiyan Li, Chongming Gao, Qinli Yang, Junming Shao |
| 2019 | IJCAI | Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion. | Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang |
| 2019 | IJCAI | Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding. | Yao Yang, Haoran Chen, Junming Shao |
| 2018 | DASFAA | Graph Clustering with Local Density-Cut. | Junming Shao, Qinli Yang, Zhong Zhang, Jinhu Liu, Stefan Kramer |
| 2018 | DASFAA | Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization. | Zhong Zhang, Zhili Qin, Peiyan Li, Qinli Yang, Junming Shao |
| 2017 | ICDM | Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data. | Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli Yang |
| 2017 | ICDM | Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization. | Junming Shao, Zhongjing Yu, Peiyan Li, Wei Han, Christian Sorg, Qinli Yang |
| 2016 | ICDM | Reliable Semi-supervised Learning. | Junming Shao, Chen Huang, Qinli Yang, Guangchun Luo |
| 2015 | KDD | Community Detection based on Distance Dynamics. | Junming Shao, Zhichao Han, Qinli Yang, Tao Zhou |
| 2014 | KDD | Prototype-based learning on concept-drifting data streams. | Junming Shao, Zahra Ahmadi, Stefan Kramer |
| 2013 | PAKDD | Robust Synchronization-Based Graph Clustering. | Junming Shao, Xiao He, Qinli Yang, Claudia Plant, Christian Bhm |
| 2012 | ICDM | Discovering Aberrant Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining. | Junming Shao, Qinli Yang, Afra M. Wohlschlger, Christian Sorg |
| 2011 | ICDM | Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data. | Junming Shao, Claudia Plant, Qinli Yang, Christian Bhm |
| 2011 | SDM | Weighted Graph Compression for Parameter-free Clustering With PaCCo. | Nikola Mller, Katrin Haegler, Junming Shao, Claudia Plant, Christian Bhm |
| 2010 | ICDM | Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain. | Junming Shao, Klaus Hahn, Qinli Yang, Christian Bhm, Afra M. Wohlschlger, Nicholas Myers, Claudia Plant |
| 2010 | KDD | Clustering by synchronization. | Christian Bhm, Claudia Plant, Junming Shao, Qinli Yang |