Yi-Dong Shen

ORCID

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 41

Top Venues

Publications

Chong Liu, Yuqi Zhang, Hongsong Wang, Weihua Chen, Fan Wang, Yan Huang, Yi-Dong Shen, Liang Wang
Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training. CoRR (2023)
Chong Liu, Yuqi Zhang, Hongsong Wang, Weihua Chen, Fan Wang, Yan Huang, Yi-Dong Shen, Liang Wang
Efficient Token-Guided Image-Text Retrieval With Consistent Multimodal Contrastive Training. IEEE Trans. Image Process. 32 (2023)
Hong Wu, Zhe Wang, Kewen Wang, Yi-Dong Shen
Learning Typed Rules over Knowledge Graphs. KR (2022)
Chong Liu, Yuqi Zhang, Weihua Chen, Fan Wang, Hao Li, Yi-Dong Shen
Adaptive Matching Strategy for Multi-Target Multi-Camera Tracking. ICASSP (2022)
Yi-Dong Shen, Thomas Eiter
Considering Constraint Monotonicity and Foundedness in Answer Set Programming. IJCAI (2022)
Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen
Vision-Language Navigation with Random Environmental Mixup. ICCV (2021)
Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones. CoRR (2021)
Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, Xuejun Li
Self-Paced Clustering Ensemble. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones. CVPR Workshops (2021)
Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Yi-Dong Shen
Vision-Language Navigation with Random Environmental Mixup. CoRR (2021)
Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li
Tri-level Robust Clustering Ensemble with Multiple Graph Learning. AAAI (2021)
Runwu Zhou, Xiaojun Chang, Lei Shi, Yi-Dong Shen, Yi Yang, Feiping Nie
Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (5) (2020)
Peng Zhou, Jiangyong Chen, Mingyu Fan, Liang Du, Yi-Dong Shen, Xuejun Li
Unsupervised feature selection for balanced clustering. Knowl. Based Syst. 193 (2020)
Chong Liu, Xiaojun Chang, Yi-Dong Shen
Unity Style Transfer for Person Re-Identification. CVPR (2020)
Yi-Dong Shen, Thomas Eiter
Determining Inference Semantics for Disjunctive Logic Programs (Extended Abstract). IJCAI (2020)
Peng Zhou, Liang Du, Xuejun Li, Yi-Dong Shen, Yuhua Qian
Unsupervised feature selection with adaptive multiple graph learning. Pattern Recognit. 105 (2020)
Runwu Zhou, Yi-Dong Shen
End-to-End Adversarial-Attention Network for Multi-Modal Clustering. CVPR (2020)
Yi-Dong Shen, Thomas Eiter
Constraint Monotonicity, Epistemic Splitting and Foundedness Are Too Strong in Answer Set Programming. CoRR (2020)
Chong Liu, Xiaojun Chang, Yi-Dong Shen
Unity Style Transfer for Person Re-Identification. CoRR (2020)
Zhedong Zheng, Liang Zheng, Michael Garrett, Yi Yang, Mingliang Xu, Yi-Dong Shen
Dual-path Convolutional Image-Text Embeddings with Instance Loss. ACM Trans. Multim. Comput. Commun. Appl. 16 (2) (2020)
Yi-Dong Shen, Thomas Eiter
Determining inference semantics for disjunctive logic programs. Artif. Intell. 277 (2019)
Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye
Incremental Multi-view Support Vector Machine. SDM (2019)
Hanmo Wang, Runwu Zhou, Yi-Dong Shen
Bounding Uncertainty for Active Batch Selection. AAAI (2019)
Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye, Xuejun Li
Incremental multi-view spectral clustering. Knowl. Based Syst. 174 (2019)
Hanmo Wang, Xiaojun Chang, Lei Shi, Yi Yang, Yi-Dong Shen
Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision. IJCAI (2018)
Xiaojun Chang, Po-Yao Huang, Yi-Dong Shen, Xiaodan Liang, Yi Yang, Alexander G. Hauptmann
RCAA: Relational Context-Aware Agents for Person Search. ECCV (9) (2018)
Zhedong Zheng, Liang Zheng, Michael Garrett, Yi Yang, Yi-Dong Shen
Dual-Path Convolutional Image-Text Embedding. CoRR (2017)
Yi-Dong Shen, Thomas Eiter
Evaluating Epistemic Negation in Answer Set Programming (Extended Abstract). IJCAI (2017)
Lei Shi, Wayne Xin Zhao, Yi-Dong Shen
Local Representative-Based Matrix Factorization for Cold-Start Recommendation. ACM Trans. Inf. Syst. 36 (2) (2017)
Lei Shi, Yi-Dong Shen
Diversifying Convex Transductive Experimental Design for Active Learning. IJCAI (2016)
Lian Wen, Kewen Wang, Yi-Dong Shen, Fangzhen Lin
A Model for Phase Transition of Random Answer-Set Programs. ACM Trans. Comput. Log. 17 (3) (2016)
Yi-Dong Shen, Thomas Eiter
Evaluating epistemic negation in answer set programming. Artif. Intell. 237 (2016)
Peng Zhou, Liang Du, Mingyu Fan, Yi-Dong Shen
An LLE based Heterogeneous Metric Learning for Cross-media Retrieval. SDM (2015)
Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen
Recovery of Corrupted Multiple Kernels for Clustering. IJCAI (2015)
Liang Du, Yi-Dong Shen
Unsupervised Feature Selection with Adaptive Structure Learning. KDD (2015)
Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen
Convex Batch Mode Active Sampling via α-Relative Pearson Divergence. AAAI (2015)
Jianfeng Du, Kewen Wang, Yi-Dong Shen
Towards Tractable and Practical ABox Abduction over Inconsistent Description Logic Ontologies. AAAI (2015)
Liang Du, Yi-Dong Shen
Unsupervised Feature Selection with Adaptive Structure Learning. CoRR (2015)
Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen
Robust Multiple Kernel K-means Using L21-Norm. IJCAI (2015)
Peng Zhou, Liang Du, Hanmo Wang, Lei Shi, Yi-Dong Shen
Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization. IJCAI (2015)
Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yuhua Qian, Yi-Dong Shen
Experimental Design with Multiple Kernels. ICDM (2015)
Lei Shi, Liang Du, Yi-Dong Shen
Robust Spectral Learning for Unsupervised Feature Selection. ICDM (2014)
Yi-Dong Shen, Kewen Wang, Thomas Eiter, Michael Fink, Christoph Redl, Thomas Krennwallner, Jun Deng
FLP answer set semantics without circular justifications for general logic programs. Artif. Intell. 213 (2014)
Jianfeng Du, Kewen Wang, Yi-Dong Shen
A Tractable Approach to ABox Abduction over Description Logic Ontologies. AAAI (2014)
Lei Shi, Shuming Shi, Chin-Yew Lin, Yi-Dong Shen, Yong Rui
Unsupervised Template Mining for Semantic Category Understanding. EMNLP (2014)
Jianfeng Du, Guilin Qi, Yi-Dong Shen
Weight-based consistent query answering over inconsistent $${\mathcal {SHIQ}}$$ knowledge bases. Knowl. Inf. Syst. 34 (2) (2013)
Liang Du, Yi-Dong Shen
Joint Clustering and Feature Selection. WAIM (2013)
Yisong Wang, Thomas Eiter, Jia-Huai You, Li-Yan Yuan, Yi-Dong Shen
Eliminating Nonmonotonic DL-Atoms in Description Logic Programs. RR (2013)
Liang Du, Yi-Dong Shen, Zhiyong Shen, Jianying Wang, Zhiwu Xu
A Self-Supervised Framework for Clustering Ensemble. WAIM (2013)
Jun Deng, Liang Du, Yi-Dong Shen
Heterogeneous Metric Learning for Cross-Modal Multimedia Retrieval. WISE (1) (2013)
Xuan Li, Liang Du, Yi-Dong Shen
Update Summarization via Graph-Based Sentence Ranking. IEEE Trans. Knowl. Data Eng. 25 (5) (2013)
Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou, Yi-Dong Shen
Local and Global Discriminative Learning for Unsupervised Feature Selection. ICDM (2013)
Liang Du, Yi-Dong Shen
Towards Robust Co-Clustering. IJCAI (2013)
Yi-Dong Shen, Kewen Wang
FLP Semantics Without Circular Justifications for General Logic Programs. AAAI (2012)
Jianfeng Du, Guilin Qi, Yi-Dong Shen, Jeff Z. Pan
Towards Practical ABox Abduction in Large Description Logic Ontologies. Int. J. Semantic Web Inf. Syst. 8 (2) (2012)
Liang Du, Xuan Li, Yi-Dong Shen
Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization. ICDM (2012)
Yisong Wang, Jia-Huai You, Li-Yan Yuan, Yi-Dong Shen, Mingyi Zhang
The loop formula based semantics of description logic programs. Theor. Comput. Sci. 415 (2012)
Jia-Huai You, Yi-Dong Shen, Kewen Wang
Well-Supported Semantics for Logic Programs with Generalized Rules. Correct Reasoning (2012)
Jianfeng Du, Guilin Qi, Jeff Z. Pan, Yi-Dong Shen
Approximating Linear Order Inference in OWL 2 DL by Horn Compilation. Web Intelligence (2012)
Yi-Dong Shen, Kewen Wang
Extending Logic Programs with Description Logic Expressions for the Semantic Web. ISWC (1) (2011)
Liang Du, Xuan Li, Yi-Dong Shen
Cluster Ensembles via Weighted Graph Regularized Nonnegative Matrix Factorization. ADMA (1) (2011)
Jianfeng Du, Guilin Qi, Jeff Z. Pan, Yi-Dong Shen
A Decomposition-Based Approach to OWL DL Ontology Diagnosis. ICTAI (2011)
Marco Sotomayor, Kewen Wang, Yi-Dong Shen, John Thornton
Probabilistic Multi-Context Systems. JIST (2011)
Yongguo Liu, Xindong Wu, Yi-Dong Shen
Automatic clustering using genetic algorithms. Appl. Math. Comput. 218 (4) (2011)
Jianfeng Du, Guilin Qi, Yi-Dong Shen, Jeff Z. Pan
Towards Practical ABox Abduction in Large OWL DL Ontologies. AAAI (2011)
Yisong Wang, Jia-Huai You, Li-Yan Yuan, Yi-Dong Shen, Thomas Eiter
Embedding Description Logic Programs into Default Logic CoRR (2011)
Neng-Fa Zhou, Yi-Dong Shen, Jia-Huai You
Compiling Answer Set Programs into Event-Driven Action Rules. LPNMR (2011)
Yi-Dong Shen
Well-Supported Semantics for Description Logic Programs. IJCAI (2011)
Xuan Li, Liang Du, Yi-Dong Shen
Graph-Based Marginal Ranking for Update Summarization. SDM (2011)
Liang Du, Xuan Li, Yi-Dong Shen
User Graph Regularized Pairwise Matrix Factorization for Item Recommendation. ADMA (2) (2011)
Yisong Wang, Jia-Huai You, Li-Yan Yuan, Yi-Dong Shen
Loop formulas for description logic programs. Theory Pract. Log. Program. 10 (4-6) (2010)
Yongguo Liu, Yi-Dong Shen
Data Clustering with Cat Swarm Optimization. J. Convergence Inf. Technol. 5 (8) (2010)
Jun Sun, Wenbo Zhao, Jiangwei Xue, Zhiyong Shen, Yi-Dong Shen
Clustering with feature order preferences. Intell. Data Anal. 14 (4) (2010)
Zhiyong Shen, Liang Du, Xukun Shen, Yi-Dong Shen
Interval-valued Matrix Factorization with Applications. ICDM (2010)
Xuan Li, Yi-Dong Shen, Liang Du, Chen-Yan Xiong
Exploiting novelty, coverage and balance for topic-focused multi-document summarization. CIKM (2010)
Yisong Wang, Jia-Huai You, Li-Yan Yuan, Yi-Dong Shen
Loop Formulas for Description Logic Programs CoRR (2010)
Yi-Dong Shen, Danny De Schreye, Dean Voets
Termination prediction for general logic programs. Theory Pract. Log. Program. 9 (6) (2009)
Yi-Dong Shen, Danny De Schreye, Dean Voets
Termination Prediction for General Logic Programs CoRR (2009)
Zhiyong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-Dong Shen
Topic Modeling for Sequences of Temporal Activities. ICDM (2009)
Jun Sun, Zhiyong Shen, Bai Su, Yi-Dong Shen
Regularized Local Reconstruction for Clustering. PAKDD (2009)
Yi-Dong Shen, Jia-Huai You
A Default Approach to Semantics of Logic Programs with Constraint Atoms. LPNMR (2009)
Bai Su, Wei Xu, Yi-Dong Shen
Margin-Based Transfer Learning. ISNN (4) (2009)
Bai Su, Yi-Dong Shen
Maximum margin transfer learning. GEC Summit (2009)
Jianfeng Du, Guilin Qi, Jeff Z. Pan, Yi-Dong Shen
A Decomposition-Based Approach to Optimizing Conjunctive Query Answering in OWL DL. ISWC (2009)
Yi-Dong Shen, Jia-Huai You, Li-Yan Yuan
Characterizations of stable model semantics for logic programs with arbitrary constraint atoms. Theory Pract. Log. Program. 9 (4) (2009)
Yi-Dong Shen, Jia-Huai You, Li-Yan Yuan
Characterizations of Stable Model Semantics for Logic Programs with Arbitrary Constraint Atoms CoRR (2009)
Jun Sun, Zhiyong Shen, Hui Li, Yi-Dong Shen
Clustering Via Local Regression. ECML/PKDD (2) (2008)
Zhiyong Shen, Jun Sun, Yi-Dong Shen, Ming Li
R-Map: Mapping Categorical Data for Clustering and Visualization Based on Reference Sets. PAKDD (2008)
Jun Sun, Wenbo Zhao, Jiangwei Xue, Zhiyong Shen, Yi-Dong Shen
Clustering with Feature Order Preferences. PRICAI (2008)
Jianfeng Du, Yi-Dong Shen
Computing minimum cost diagnoses to repair populated DL-based ontologies. WWW (2008)
Neng-Fa Zhou, Taisuke Sato, Yi-Dong Shen
Linear tabling strategies and optimizations. Theory Pract. Log. Program. 8 (1) (2008)
Zhiyong Shen, Jun Sun, Yi-Dong Shen
Collective Latent Dirichlet Allocation. ICDM (2008)
Jianfeng Du, Guilin Qi, Yi-Dong Shen
Lexicographical Inference over Inconsistent DL-Based Ontologies. RR (2008)
Yi-Dong Shen
Reasoning with recursive loops under the PLP framework. ACM Trans. Comput. Log. 9 (4) (2008)
Jian Zhang, Wenhui Zhang, Naijun Zhan, Yi-Dong Shen, Haiming Chen, Yunquan Zhang, Yongji Wang, Enhua Wu, Hongan Wang, Xueyang Zhu
Basic research in computer science and software engineering at SKLCS. Frontiers Comput. Sci. China 2 (1) (2008)
Jia-Huai You, Li-Yan Yuan, Guohua Liu, Yi-Dong Shen
Logic Programs with Abstract Constraints: Representaton, Disjunction and Complexities. LPNMR (2007)
Yongguo Liu, Xiaorong Pu, Yi-Dong Shen, Zhang Yi, Xiaofeng Liao
Clustering Using an Improved Hybrid Genetic Algorithm. Int. J. Artif. Intell. Tools 16 (6) (2007)
Neng-Fa Zhou, Taisuke Sato, Yi-Dong Shen
Linear Tabling Strategies and Optimizations CoRR (2007)
Jianfeng Du, Yi-Dong Shen
Partitioning ABoxes Based on Converting DL to Plain Datalog. Description Logics (2007)
Yi-Dong Shen, Jia-Huai You
A Generalized Gelfond-Lifschitz Transformation for Logic Programs with Abstract Constraints. AAAI (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yi-Dong Shen