Jie Wang,

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Feng Wu 吴枫University of Science and Technology of ChinaVerified email at ustc.edu.cn
Jieping Ye, IEEE Fellow & ACM Distin...Alibaba GroupVerified email at umich.edu
Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
Yufei KuangUniversity of Science and Technology of ChinaVerified email at mail.ustc.edu.cn
Houqiang LiProfessor, Department of Electric Engineering and Information Science, University of Science andVerified email at ustc.edu.cn
Zhihai WangPhd candidate, University of Science and Technology of ChinaVerified email at mail.ustc.edu.cn
Peter WonkaKing Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
Wengang ZhouProfessor, EEIS Department, University of Science and Technology of ChinaVerified email at ustc.edu.cn
Zhihao ShiUniversity of Science and Technology of ChinaVerified email at mail.ustc.edu.cn
Xiaoqiang WangFlorida State UniversityVerified email at fsu.edu
Jun LiuInfinia MLVerified email at asu.edu
Rui YangEng.D candidate of Electronic Information Science and Technology in University of Science andVerified email at mail.ustc.edu.cn
Yongxin Tong（童咏昕）Professor of Computer Science, Beihang UniversityVerified email at buaa.edu.cn
Lili JuProfessor of Mathematics, University of South CarolinaVerified email at math.sc.edu
Sen YangSnap IncVerified email at asu.edu
Qingyang LiLLM and RLHFVerified email at didiglobal.com
Zijie Geng (耿子介)University of Science and Technology of ChinaVerified email at mail.ustc.edu.cn

Jie Wang,

Professor at University of Science and Technology of China

Verified email at ustc.edu.cn - Homepage

Graph Machine Learning AI4Science Learn2Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Transformer meets tracker: Exploiting temporal context for robust visual tracking N Wang, W Zhou, J Wang, H Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	837	2021
On explainability of graph neural networks via subgraph explorations H Yuan, H Yu, J Wang, K Li, S Ji International conference on machine learning, 12241-12252, 2021	477	2021
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction Z Zhang, J Cai, Y Zhang, J Wang The Thirty-fourth AAAI Conference on Artificial Intelligence, 2020	470	2020
The simpler the better: a unified approach to predicting original taxi demands based on large-scale online platforms Y Tong, Y Chen, Z Zhou, L Chen, J Wang, Q Yang, J Ye, W Lv Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017	350	2017
Epidemic spread in weighted scale-free networks Y Gang, Z Tao, W Jie, F Zhong-Qian, W Bing-Hong Chinese Physics Letters 22, 510, 2005	311	2005
Line graph neural networks for link prediction L Cai, J Li, J Wang, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5103-5113, 2021	271	2021
Lasso Screening Rules via Dual Polytope Projection J Wang, P Wonka, J Ye Journal of Machine Learning Research 16, 1063-1101, 2015	244	2015
A multi-task learning formulation for survival analysis Y Li, J Wang, J Ye, CK Reddy Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016	186	2016
ConE: Cone embeddings for multi-hop reasoning over knowledge graphs Z Zhang, J Wang, J Chen, S Ji, F Wu Advances in Neural Information Processing Systems 34, 19172-19183, 2021	153	2021
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs J Chen, H He, F Wu, J Wang The Thirty-fifth AAAI Conference on Artificial Intelligence, 2021	145	2021
VCells: Simple and efficient superpixels using edge-weighted centroidal Voronoi tessellations J Wang, X Wang IEEE Transactions on pattern analysis and machine intelligence 34 (6), 1241-1247, 2012	140	2012
An edge-weighted centroidal Voronoi tessellation model for image segmentation J Wang, L Ju, X Wang IEEE Transactions on Image Processing 18 (8), 1844-1858, 2009	117	2009
Rethinking graph convolutional networks in knowledge graph completion Z Zhang, J Wang, J Ye, F Wu Proceedings of the ACM web conference 2022, 798-807, 2022	86	2022
Safe Screening With Variational Inequalities and Its Applicaiton to LASSO J Liu, Z Zhao, J Wang, J Ye International Conference on Machine Learning 2014, 2014	85	2014
A Safe Screening Rule for Sparse Logistic Regression J Wang, J Zhou, J Liu, P Wonka, J Ye Advances in Neural Information Processing Systems, 2014	77	2014
Transfer learning for survival analysis via efficient l2, 1-norm regularized cox regression Y Li, L Wang, J Wang, J Ye, CK Reddy 2016 IEEE 16th International Conference on Data Mining (ICDM), 231-240, 2016	70	2016
Scaling SVM and Least Absolute Deviations via Exact Data Reduction J Wang, P Wonka, J Ye International Conference on Machine Learning 2014, 2014	70	2014
Duality-induced regularizer for tensor factorization based knowledge graph completion Z Zhang, J Cai, J Wang Advances in Neural Information Processing Systems 33, 21604-21615, 2020	67	2020
An Efficient ADMM Algorithm for Multidimensional Anisotropic Total Variation Regularization Problems S Yang, J Wang, W Fan, X Zhang, P Wonka, J Ye SIGKDD, 2013	64	2013
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model Z Wang, X Li, J Wang, Y Kuang, M Yuan, J Zeng, Y Zhang, F Wu The Eleventh International Conference on Learning Representations ICLR 2023, 2023	57	2023

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