Jie Wang
Orcid: 0000-0001-9902-5723Affiliations:
- University of Science and Technology of China (USTC), MIRA Lab, Hefei, China
- University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China
- University of Michigan, Ann Arbor, MI, USA
- Arizona State University, Department of Computer Science and Engineering / Center for Evolutionary Medicine and Informatics of the Biodesign Institute, Tempe, AZ, USA (former)
- Florida State University, Tallahassee, FL, USA (PhD 2011)
According to our database1,
Jie Wang
authored at least 72 papers
between 2009 and 2023.
Collaborative distances:
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Bibliography
2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability.
CoRR, 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias.
CoRR, 2023
Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction.
CoRR, 2023
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design.
CoRR, 2023
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution.
CoRR, 2023
Learning robust representation for reinforcement learning with distractions by reward sequence prediction.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
CoRR, 2022
Exploiting Global Semantic Similarities in Knowledge Graphs by Relational Prototype Entities.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Artif. Intell., 2021
Neurocomputing, 2021
Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 2021.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.
J. Mach. Learn. Res., 2019
J. Mach. Learn. Res., 2019
2018
Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks.
IEEE Trans. Knowl. Data Eng., 2018
2017
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression.
CoRR, 2017
The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
2016
ACM Trans. Knowl. Discov. Data, 2016
Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction.
CoRR, 2016
Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
CoRR, 2013
CoRR, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
2012
VCells: Simple and Efficient Superpixels Using Edge-Weighted Centroidal Voronoi Tessellations.
IEEE Trans. Pattern Anal. Mach. Intell., 2012
2011
Image Segmentation Using Local Variation and Edge-Weighted Centroidal Voronoi Tessellations.
IEEE Trans. Image Process., 2011
2009
IEEE Trans. Image Process., 2009