| 2022 | ICASSP | Adaptive Matching Strategy for Multi-Target Multi-Camera Tracking. | Chong Liu, Yuqi Zhang, Weihua Chen, Fan Wang, Hao Li, Yi-Dong Shen |
| 2022 | IJCAI | Considering Constraint Monotonicity and Foundedness in Answer Set Programming. | Yi-Dong Shen, Thomas Eiter |
| 2022 | KR | Learning Typed Rules over Knowledge Graphs. | Hong Wu, Zhe Wang, Kewen Wang, Yi-Dong Shen |
| 2021 | AAAI | Tri-level Robust Clustering Ensemble with Multiple Graph Learning. | Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li |
| 2021 | CVPR | City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones. | Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen |
| 2021 | ICCV | Vision-Language Navigation with Random Environmental Mixup. | Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen |
| 2020 | CVPR | Unity Style Transfer for Person Re-Identification. | Chong Liu, Xiaojun Chang, Yi-Dong Shen |
| 2020 | CVPR | End-to-End Adversarial-Attention Network for Multi-Modal Clustering. | Runwu Zhou, Yi-Dong Shen |
| 2020 | IJCAI | Determining Inference Semantics for Disjunctive Logic Programs (Extended Abstract). | Yi-Dong Shen, Thomas Eiter |
| 2019 | AAAI | Bounding Uncertainty for Active Batch Selection. | Hanmo Wang, Runwu Zhou, Yi-Dong Shen |
| 2019 | SDM | Incremental Multi-view Support Vector Machine. | Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye |
| 2018 | ECCV | RCAA: Relational Context-Aware Agents for Person Search. | Xiaojun Chang, Po-Yao Huang, Yi-Dong Shen, Xiaodan Liang, Yi Yang, Alexander G. Hauptmann |
| 2018 | IJCAI | Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision. | Hanmo Wang, Xiaojun Chang, Lei Shi, Yi Yang, Yi-Dong Shen |
| 2017 | IJCAI | Evaluating Epistemic Negation in Answer Set Programming (Extended Abstract). | Yi-Dong Shen, Thomas Eiter |
| 2016 | IJCAI | Diversifying Convex Transductive Experimental Design for Active Learning. | Lei Shi, Yi-Dong Shen |
| 2015 | AAAI | Towards Tractable and Practical ABox Abduction over Inconsistent Description Logic Ontologies. | Jianfeng Du, Kewen Wang, Yi-Dong Shen |
| 2015 | AAAI | Convex Batch Mode Active Sampling via α-Relative Pearson Divergence. | Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen |
| 2015 | ICDM | Experimental Design with Multiple Kernels. | Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yuhua Qian, Yi-Dong Shen |
| 2015 | IJCAI | Robust Multiple Kernel K-means Using L21-Norm. | Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen |
| 2015 | IJCAI | Recovery of Corrupted Multiple Kernels for Clustering. | Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen |
| 2015 | IJCAI | Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization. | Peng Zhou, Liang Du, Hanmo Wang, Lei Shi, Yi-Dong Shen |
| 2015 | KDD | Unsupervised Feature Selection with Adaptive Structure Learning. | Liang Du, Yi-Dong Shen |
| 2015 | SDM | An LLE based Heterogeneous Metric Learning for Cross-media Retrieval. | Peng Zhou, Liang Du, Mingyu Fan, Yi-Dong Shen |
| 2014 | AAAI | A Tractable Approach to ABox Abduction over Description Logic Ontologies. | Jianfeng Du, Kewen Wang, Yi-Dong Shen |
| 2014 | EMNLP | Unsupervised Template Mining for Semantic Category Understanding. | Lei Shi, Shuming Shi, Chin-Yew Lin, Yi-Dong Shen, Yong Rui |
| 2014 | ICDM | Robust Spectral Learning for Unsupervised Feature Selection. | Lei Shi, Liang Du, Yi-Dong Shen |
| 2013 | ICDM | Local and Global Discriminative Learning for Unsupervised Feature Selection. | Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou, Yi-Dong Shen |
| 2013 | IJCAI | Towards Robust Co-Clustering. | Liang Du, Yi-Dong Shen |
| 2013 | WISE | Heterogeneous Metric Learning for Cross-Modal Multimedia Retrieval. | Jun Deng, Liang Du, Yi-Dong Shen |
| 2012 | AAAI | FLP Semantics Without Circular Justifications for General Logic Programs. | Yi-Dong Shen, Kewen Wang |
| 2012 | ICDM | Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization. | Liang Du, Xuan Li, Yi-Dong Shen |
| 2011 | AAAI | Towards Practical ABox Abduction in Large OWL DL Ontologies. | Jianfeng Du, Guilin Qi, Yi-Dong Shen, Jeff Z. Pan |
| 2011 | ADMA | Cluster Ensembles via Weighted Graph Regularized Nonnegative Matrix Factorization. | Liang Du, Xuan Li, Yi-Dong Shen |
| 2011 | ADMA | User Graph Regularized Pairwise Matrix Factorization for Item Recommendation. | Liang Du, Xuan Li, Yi-Dong Shen |
| 2011 | IJCAI | Well-Supported Semantics for Description Logic Programs. | Yi-Dong Shen |
| 2011 | ICTAI | A Decomposition-Based Approach to OWL DL Ontology Diagnosis. | Jianfeng Du, Guilin Qi, Jeff Z. Pan, Yi-Dong Shen |
| 2011 | LPNMR | Compiling Answer Set Programs into Event-Driven Action Rules. | Neng-Fa Zhou, Yi-Dong Shen, Jia-Huai You |
| 2011 | SDM | Graph-Based Marginal Ranking for Update Summarization. | Xuan Li, Liang Du, Yi-Dong Shen |
| 2010 | CIKM | Exploiting novelty, coverage and balance for topic-focused multi-document summarization. | Xuan Li, Yi-Dong Shen, Liang Du, Chen-Yan Xiong |
| 2010 | ICDM | Interval-valued Matrix Factorization with Applications. | Zhiyong Shen, Liang Du, Xukun Shen, Yi-Dong Shen |
| 2009 | GECCO | Maximum margin transfer learning. | Bai Su, Yi-Dong Shen |
| 2009 | ICDM | Topic Modeling for Sequences of Temporal Activities. | Zhiyong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-Dong Shen |
| 2009 | ISNN | Margin-Based Transfer Learning. | Bai Su, Wei Xu, Yi-Dong Shen |
| 2009 | LPNMR | A Default Approach to Semantics of Logic Programs with Constraint Atoms. | Yi-Dong Shen, Jia-Huai You |
| 2009 | PAKDD | Regularized Local Reconstruction for Clustering. | Jun Sun, Zhiyong Shen, Bai Su, Yi-Dong Shen |
| 2008 | ICDM | Collective Latent Dirichlet Allocation. | Zhiyong Shen, Jun Sun, Yi-Dong Shen |
| 2008 | PAKDD | R-Map: Mapping Categorical Data for Clustering and Visualization Based on Reference Sets. | Zhiyong Shen, Jun Sun, Yi-Dong Shen, Ming Li |
| 2008 | PRICAI | Clustering with Feature Order Preferences. | Jun Sun, Wenbo Zhao, Jiangwei Xue, Zhiyong Shen, Yi-Dong Shen |
| 2008 | WWW | Computing minimum cost diagnoses to repair populated DL-based ontologies. | Jianfeng Du, Yi-Dong Shen |
| 2007 | AAAI | A Generalized Gelfond-Lifschitz Transformation for Logic Programs with Abstract Constraints. | Yi-Dong Shen, Jia-Huai You |
| 2007 | LPNMR | Logic Programs with Abstract Constraints: Representaton, Disjunction and Complexities. | Jia-Huai You, Li-Yan Yuan, Guohua Liu, Yi-Dong Shen |
| 2005 | ILP | Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops. | Yi-Dong Shen, Qiang Yang |
| 2004 | ICDM | Cluster Cores-Based Clustering for High Dimensional Data. | Yi-Dong Shen, Zhiyong Shen, Shi-Ming Zhang, Qiang Yang |
| 2004 | PPDP | Semi-naive evaluation in linear tabling. | Neng-Fa Zhou, Yi-Dong Shen, Taisuke Sato |
| 2003 | ICDM | Mining High Utility Itemsets. | Raymond Chan, Qiang Yang, Yi-Dong Shen |
| 2003 | PAKDD | Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation. | Yi-Dong Shen, Qiang Yang, Zhong Zhang, Hongjun Lu |
| 2002 | ICDM | Objective-Oriented Utility-Based Association Mining. | Yi-Dong Shen, Zhong Zhang, Qiang Yang |
| 2000 | PADL | Implementation of a Linear Tabling Mechanism. | Neng-Fa Zhou, Yi-Dong Shen, Li-Yan Yuan, Jia-Huai You |
| 1999 | ICLP | A Linear Tabling Mechanism. | Neng-Fa Zhou, Yi-Dong Shen, Li-Yan Yuan, Jia-Huai You |
| 1999 | LPNMR | Linear Tabulated Resolutions for the Well-Founded Semantics. | Yi-Dong Shen, Li-Yan Yuan, Jia-Huai You, Neng-Fa Zhou |