Wen Song

Orcid: 0000-0001-7624-1861

According to our database1, Wen Song authored at least 99 papers between 1998 and 2024.

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Bibliography

2024
Stochastic Economic Lot Scheduling via Self-Attention Based Deep Reinforcement Learning.
IEEE Trans Autom. Sci. Eng., April, 2024

Second-Order Conditions for the Existence of Augmented Lagrange Multipliers for Sparse Optimization.
J. Optim. Theory Appl., April, 2024

Urban Functional Zone Classification Using Light-Detection-and-Ranging Point Clouds, Aerial Images, and Point-of-Interest Data.
Remote. Sens., January, 2024

Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem.
CoRR, 2024

2023
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling.
IEEE Trans. Knowl. Data Eng., September, 2023

Local Climate Zone Classification Using Daytime Zhuhai-1 Hyperspectral Imagery and Nighttime Light Data.
Remote. Sens., July, 2023

Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., January, 2023

Welfare promoter or profit obstructor? The role of return-freight insurance in online retailing.
Electron. Commer. Res. Appl., January, 2023

To assemble or not to assemble: metagenomic profiling of microbially mediated biogeochemical pathways in complex communities.
Briefings Bioinform., January, 2023

Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2023

Local Climate Zone Classification by Seasonal and Diurnal Satellite Observations: An Integration of Daytime Thermal Infrared Multispectral Imageries and High-Resolution Night-Time Light Data.
Remote. Sens., 2023

Instance-specific algorithm configuration via unsupervised deep graph clustering.
Eng. Appl. Artif. Intell., 2023

Container stacking optimization based on Deep Reinforcement Learning.
Eng. Appl. Artif. Intell., 2023

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems.
CoRR, 2023

Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Job Shop Scheduling via Deep Reinforcement Learning.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems.
Proceedings of the International Conference on Machine Learning, 2023

Research on Risk Evolution of Online Food Delivery Platforms Based on Fuzzy Cognitive Map.
Proceedings of the Advances in Artificial Intelligence, Big Data and Algorithms - Proceedings of the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA 2023), 2023

2022
Mapping the spatial and temporal patterns of fallow land in mountainous regions of China.
Int. J. Digit. Earth, December, 2022

Learning Improvement Heuristics for Solving Routing Problems.
IEEE Trans. Neural Networks Learn. Syst., 2022

Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2022

Dual-Aspect Self-Attention Based on Transformer for Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas., 2022

Stochastic Cooperative Bidding Strategy for Multiple Microgrids With Peer-to-Peer Energy Trading.
IEEE Trans. Ind. Informatics, 2022

Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem.
IEEE Trans. Cybern., 2022

The forward-backward splitting method for non-Lipschitz continuous minimization problems in Banach spaces.
Optim. Lett., 2022

Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem.
Inf. Sci., 2022

Trade credit insurance: insuring strategy of the retailer and the manufacturer.
Int. J. Prod. Res., 2022

A novel concavity based method for automatic segmentation of touching cells in microfluidic chips.
Expert Syst. Appl., 2022

Learning variable ordering heuristics for solving Constraint Satisfaction Problems.
Eng. Appl. Artif. Intell., 2022

Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning.
CoRR, 2022

A Deep Reinforcement Learning Approach for Resource-Constrained Project Scheduling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Graph Learning Assisted Multi-Objective Integer Programming.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Neural Neighborhood Search for Pickup and Delivery Problems.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Dynamic Transfer Gaussian Process Regression.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach.
IEEE Trans. Intell. Transp. Syst., 2021

Step-Wise Deep Learning Models for Solving Routing Problems.
IEEE Trans. Ind. Informatics, 2021

MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands.
Swarm Evol. Comput., 2021

The forward-backward splitting method and its convergence rate for the minimization of the sum of two functions in Banach spaces.
Optim. Lett., 2021

Spillover Effect of Consumer Awareness on Third Parties' Selling Strategies and Retailers' Platform Openness.
Inf. Syst. Res., 2021

A goal-reference-point decision-making method based on normal cloud model and its application in distribution network planning evaluation.
Inf. Sci., 2021

The roles of crowdfunding: financing, point provision and ex-post production.
Int. J. Prod. Res., 2021

Capturing combination patterns of long- and short-term dependencies in multivariate time series forecasting.
Neurocomputing, 2021

Threshold Effect in Crowdfunding: Evidence from Investment-Level Data.
Int. J. Electron. Commer., 2021

Distributed-elite local search based on a genetic algorithm for bi-objective job-shop scheduling under time-of-use tariffs.
Evol. Intell., 2021

Detecting the shuttlecock for a badminton robot: A YOLO based approach.
Expert Syst. Appl., 2021

NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Large Neighborhood Search Policy for Integer Programming.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sensor Data Prediction in Process Industry by Capturing Mixed Length of Time Dependencies.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2021

Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation.
IEEE Trans. Veh. Technol., 2020

Cost-sensitive deep forest for price prediction.
Pattern Recognit., 2020

Multistage risk assessment of direct delivery business from local oil refineries in Sinopec Group based on normal cloud model.
Int. J. Prod. Res., 2020

Effect of online product reviews on third parties' selling on retail platforms.
Electron. Commer. Res. Appl., 2020

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty.
J. Artif. Intell. Res., 2019

Three-reference-point decision-making method with incomplete weight information considering independent and interactive characteristics.
Inf. Sci., 2019

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems.
CoRR, 2019

Learning Improvement Heuristics for Solving the Travelling Salesman Problem.
CoRR, 2019

A multistage risk decision making method for normal cloud model considering behavior characteristics.
Appl. Soft Comput., 2019

A Neural Model for Method Name Generation from Functional Description.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

2018
Project scheduling in distributed and dynamic environments
PhD thesis, 2018

An agent-based simulation system for multi-project scheduling under uncertainty.
Simul. Model. Pract. Theory, 2018

A multi-stage uncertain risk decision-making method with reference point based on extended LINMAP method.
J. Intell. Fuzzy Syst., 2018

A Multistage Risk Decision Making Method for Normal Cloud Model with Three Reference Points.
Proceedings of the Group Decision and Negotiation in an Uncertain World, 2018

Risk-Aware Proactive Scheduling via Conditional Value-at-Risk.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A multi-unit combinatorial auction based approach for decentralized multi-project scheduling.
Auton. Agents Multi Agent Syst., 2017

Spillover Effect of Consumer Awareness on Third-Party Sellers' Selling Strategies on Retail Platforms.
Proceedings of the International Conference on Information Systems, 2017

Proactive Project Scheduling with Time-dependent Workability Uncertainty.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Project Scheduling in Complex Business Environments.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Decentralized Multi-Project Scheduling via Multi-Unit Combinatorial Auction.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

An Auction-based Approach for Decentralized Multi-Project Scheduling: (Doctoral Consortium).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
A note on the condition numbers of convex sets.
Math. Program., 2015

Optimality Conditions for Disjunctive Optimization in Reflexive Banach Spaces.
J. Optim. Theory Appl., 2015

Augmented Lagrangian Duality for Composite Optimization Problems.
J. Optim. Theory Appl., 2015

An output-constrained DEA model as applied to efficiency analysis of football clubs.
J. Intell. Fuzzy Syst., 2015

Second-order conditions for existence of augmented Lagrange multipliers for eigenvalue composite optimization problems.
J. Glob. Optim., 2015

A novel page ranking algorithm based on triadic closure and hyperlink-induced topic search.
Intell. Data Anal., 2015

2014
A clustering method for evaluating the environmental performance based on slacks-based measure.
Comput. Ind. Eng., 2014

2013
A steganalysis by adjacency pixel bits structure.
Comput. Electr. Eng., 2013

A supervised self-organizing approach for large-scale multistage batch scheduling problems.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

2012
Second order sufficient optimality conditions in vector optimization.
J. Glob. Optim., 2012

Activity recognition in planetary navigation field tests using classification algorithms applied to accelerometer data.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Automated hand-forearm ergometer data collection system.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2010
Transformation of BPMN Diagrams to YAWL Nets.
J. Softw., 2010

The Bregman distance, approximate compactness and convexity of Chebyshev sets in Banach spaces.
J. Approx. Theory, 2010

W-approximative compactness and continuity of the generalized projection operator in Banach spaces.
J. Approx. Theory, 2010

2009
Duality gap of the conic convex constrained optimization problems in normed spaces.
Math. Program., 2009

2008
Transformation of BPMN to YAWL.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

The Operations and Properties of Reproducibility of the Empty Marking.
Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008

2007
Cross-Layer Routing with Link Quality and Stability-Aware in ITS Hybrid Wireless Mesh Networks.
Proceedings of The Sixth International Conference on Advanced Language Processing and Web Information Technology, 2007

2006
Calmness and Error Bounds for Convex Constraint Systems.
SIAM J. Optim., 2006

Bounded linear regularity of convex sets in Banach spaces and its applications.
Math. Program., 2006

2005
An Efficient Key Management Scheme for Secure Sensor Networks.
Proceedings of the Sixth International Conference on Parallel and Distributed Computing, 2005

2004
The generalized decomposition theorem in Banach spaces and its applications.
J. Approx. Theory, 2004

1998
A generalization of Fenchel duality in set-valued vector optimization.
Math. Methods Oper. Res., 1998


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