Zhiguang Cao

Orcid: 0000-0002-4499-759X

According to our database1, Zhiguang Cao authored at least 86 papers between 2014 and 2024.

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Bibliography

2024
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution.
IEEE Trans. Syst. Man Cybern. Syst., July, 2024

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

DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Cooperative trucks and drones for rural last-mile delivery with steep roads.
Comput. Ind. Eng., January, 2024

Adaptive Stabilization Based on Machine Learning for Column Generation.
CoRR, 2024

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts.
CoRR, 2024

Cross-Problem Learning for Solving Vehicle Routing Problems.
CoRR, 2024

LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation.
CoRR, 2024

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

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution.
CoRR, 2024

Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Neural Airport Ground Handling.
IEEE Trans. Intell. Transp. Syst., December, 2023

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

Distributed representation learning with skip-gram model for trained random forests.
Neurocomputing, September, 2023

Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations.
IEEE Trans. Veh. Technol., May, 2023

Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming.
IEEE Trans. Cybern., May, 2023

Reinforced Adaptation Network for Partial Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

A diversity-enhanced memetic algorithm for solving electric vehicle routing problems with time windows and mixed backhauls.
Appl. Soft Comput., February, 2023

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

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

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

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

Multi-view graph contrastive learning for solving vehicle routing problems.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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

GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks.
IEEE Trans. Intell. Transp. Syst., 2022

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

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

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

Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

Learning to Solve Routing Problems via Distributionally Robust Optimization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning.
IEEE Trans. Intell. Transp. Syst., 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

A Novel Robotic Guidance System With Eye-Gaze Tracking Control for Needle-Based Interventions.
IEEE Trans. Cogn. Dev. Syst., 2021

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

An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand.
Knowl. Based Syst., 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

An Iterative Scheme for Hierarchical Production Planning in Semiconductor Wafer Fabrication.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2021

Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 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

An Accurate Solution to the Cardinality-Based Punctuality Problem.
IEEE Intell. Transp. Syst. Mag., 2020

WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests.
IEEE Internet Things J., 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

Training Task Allocation in Federated Edge Learning: A Matching-Theoretic Approach.
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020

AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM.
IEEE Trans. Mob. Comput., 2019

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

Using FTOC to track shuttlecock for the badminton robot.
Neurocomputing, 2019

A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems.
IEEE CAA J. Autom. Sinica, 2019

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

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

An Integrated Approach for a Universal Routing Algorithm.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time.
ACM Trans. Intell. Syst. Technol., 2018

Distilling the Knowledge From Handcrafted Features for Human Activity Recognition.
IEEE Trans. Ind. Informatics, 2018

A Simulation Environment for Evaluation of Routing Algorithms for Improvement of Electromobility Related Services.
IEEE Intell. Transp. Syst. Mag., 2018

Flexible Integrated Sensor Array for Pressure, Humidity and Temperature Sensing<sup>*</sup>.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018

The Robotic Fish Strategy Based on The Extreme Learning Machine Optimized by Particle Swarm Optimization Algorithm.
Proceedings of the 17th IEEE/ACIS International Conference on Computer and Information Science, 2018

2017
A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion.
IEEE Trans. Intell. Transp. Syst., 2017

Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Multiagent-based cooperative vehicle routing using node pressure and auctions.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Improving the Efficiency of Stochastic Vehicle Routing: A Partial Lagrange Multiplier Method.
IEEE Trans. Veh. Technol., 2016

Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach.
IEEE Trans. Intell. Transp. Syst., 2016

Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014
A multi-hop reputation announcement scheme for VANETs.
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

Routing multiple cars in large scale networks: Minimizing road network breakdown probability.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

A data-driven method for stochastic shortest path problem.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014


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