Jie Wang

Orcid: 0000-0001-9902-5723

Affiliations:

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 99 papers between 2009 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

FlowX: Towards Explainable Graph Neural Networks via Message Flows.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2024

Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions.

[BibT_eX]

[DOI]

CoRR, 2024

MILP-StuDio: MILP Instance Generation via Block Structure Decomposition.

[BibT_eX]

[DOI]

CoRR, 2024

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Tree-based Retrieval for Efficient Recommendation: Theory and Method.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities.

[BibT_eX]

[DOI]

CoRR, 2024

Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms.

[BibT_eX]

[DOI]

CoRR, 2024

Foundations and Frontiers of Graph Learning Theory.

[BibT_eX]

[DOI]

CoRR, 2024

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Preference Optimization with Provable Noise Tolerance for LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space.

[BibT_eX]

[DOI]

Qianmei Liu

Yufei Kuang

Jie Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Reinforcement Learning within Tree Search for Fast Macro Placement.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accelerating PDE Data Generation via Differential Operator Action in Solution Space.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming.

[BibT_eX]

[DOI]

Haotian Ling

Zhihai Wang

Jie Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

State Sequences Prediction via Fourier Transform for Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Provably Convergent Subgraph-wise Sampling for Fast GNN Training.

[BibT_eX]

[DOI]

CoRR, 2023

Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution.

[BibT_eX]

[DOI]

CoRR, 2023

Learning robust representation for reinforcement learning with distractions by reward sequence prediction.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

State Sequences Prediction via Fourier Transform for Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence.

[BibT_eX]

[DOI]

Zhihao Shi

Xize Liang

Jie Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

De Novo Molecular Generation via Connection-aware Motif Mining.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Real-Time Information Extraction for Phone Review in Car Loan Audit.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

Efficient Exploration in Resource-Restricted Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Interpreting Image Classifiers by Generating Discrete Masks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Line Graph Neural Networks for Link Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Exploiting Global Semantic Similarities in Knowledge Graphs by Relational Prototype Entities.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Reformulate for Linear Programming.

[BibT_eX]

[DOI]

CoRR, 2022

An Improved Reinforcement Learning Algorithm for Learning to Branch.

[BibT_eX]

[DOI]

CoRR, 2022

Rethinking Graph Convolutional Networks in Knowledge Graph Completion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Interpreting the Latent Space of GANs via Measuring Decoupling.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2021

Separated smooth sampling for fine-grained image classification.

[BibT_eX]

[DOI]

Shenghai Rong

Zilei Wang

Jie Wang

Neurocomputing, 2021

Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 2021.

[BibT_eX]

[DOI]

CoRR, 2021

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Explainability of Graph Neural Networks via Subgraph Explorations.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zhanqiu Zhang

Jianyu Cai

Jie Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-Adaptive Embedding For Few-Shot Classification By Hierarchical Attention.

[BibT_eX]

[DOI]

Xueliang Wang

Feng Wu

Jie Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization.

[BibT_eX]

[DOI]

Qi Zhou

Houqiang Li

Jie Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Taoxing Pan

Jun Liu

Jie Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets.

[BibT_eX]

[DOI]

Jie Wang

Zhanqiu Zhang

Jieping Ye

J. Mach. Learn. Res., 2019

2018

Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

2017

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression.

[BibT_eX]

[DOI]

CoRR, 2017

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

An Efficient Algorithm For Weak Hierarchical Lasso.

[BibT_eX]

[DOI]

Yashu Liu

Jie Wang

Jieping Ye

ACM Trans. Knowl. Discov. Data, 2016

Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction.

[BibT_eX]

[DOI]

CoRR, 2016

Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A Multi-Task Learning Formulation for Survival Analysis.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Parallel Lasso Screening for Big Data Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Fused Lasso Screening Rules via the Monotonicity of Subdifferentials.

[BibT_eX]

[DOI]

Jie Wang

Wei Fan

Jieping Ye

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Lasso screening rules via dual polytope projection.

[BibT_eX]

[DOI]

Jie Wang

Peter Wonka

Jieping Ye

J. Mach. Learn. Res., 2015

Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection.

[BibT_eX]

[DOI]

Jie Wang

Jieping Ye

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.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices.

[BibT_eX]

[DOI]

Jie Wang

Jieping Ye

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

A Safe Screening Rule for Sparse Logistic Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets.

[BibT_eX]

[DOI]

Jie Wang

Jieping Ye

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Scaling SVM and Least Absolute Deviations via Exact Data Reduction.

[BibT_eX]

[DOI]

Jie Wang

Peter Wonka

Jieping Ye

Proceedings of the 31th International Conference on Machine Learning, 2014

A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Safe Screening with Variational Inequalities and Its Application to Lasso.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods.

[BibT_eX]

[DOI]

Jie Wang

Jun Liu

Jieping Ye

CoRR, 2013

Safe Screening With Variational Inequalities and Its Applicaiton to LASSO.

[BibT_eX]

[DOI]

CoRR, 2013

Lasso Screening Rules via Dual Polytope Projection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.