Zhiguang Cao

Orcid: 0000-0002-4499-759X

According to our database¹, Zhiguang Cao authored at least 93 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Efficient Neural Collaborative Search for Pickup and Delivery Problems.

[BibT_eX]

[DOI]

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

Learning Feature Embedding Refiner for Solving Vehicle Routing Problems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2024

SEGAC: Sample Efficient Generalized Actor Critic for the Stochastic On-Time Arrival Problem.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., August, 2024

Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., July, 2024

Stochastic Economic Lot Scheduling via Self-Attention Based Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., April, 2024

DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Cooperative trucks and drones for rural last-mile delivery with steep roads.

[BibT_eX]

[DOI]

Comput. Ind. Eng., January, 2024

Learning to Handle Complex Constraints for Vehicle Routing Problems.

[BibT_eX]

[DOI]

CoRR, 2024

Collaboration! Towards Robust Neural Methods for Routing Problems.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

The low-carbon vehicle routing problem with dynamic speed on steep roads.

[BibT_eX]

[DOI]

Comput. Oper. Res., 2024

Hierarchical Neural Constructive Solver for Real-world TSP Scenarios.

[BibT_eX]

[DOI]

Mohammed Haroon Dupty

Wee Sun Lee

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Cross-Problem Learning for Solving Vehicle Routing Problems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Adaptive Stabilization Based on Machine Learning for Column Generation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2023

Neural Airport Ground Handling.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., December, 2023

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Distributed representation learning with skip-gram model for trained random forests.

[BibT_eX]

[DOI]

Neurocomputing, September, 2023

Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., May, 2023

Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming.

[BibT_eX]

[DOI]

Yuan Jiang

Zhiguang Cao

Jie Zhang

IEEE Trans. Cybern., May, 2023

Reinforced Adaptation Network for Partial Domain Adaptation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Appl. Soft Comput., February, 2023

Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., January, 2023

Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2023

Instance-specific algorithm configuration via unsupervised deep graph clustering.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

Multi-view graph contrastive learning for solving vehicle routing problems.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yining Ma

Zhiguang Cao

Yeow Meng Chee

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning Improvement Heuristics for Solving Routing Problems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

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

[BibT_eX]

[DOI]

Inf. Sci., 2022

Learning variable ordering heuristics for solving Constraint Satisfaction Problems.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2022

Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Learning Assisted Multi-Objective Integer Programming.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[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

Efficient Neural Neighborhood Search for Pickup and Delivery Problems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning to Solve Routing Problems via Distributionally Robust Optimization.

[BibT_eX]

[DOI]

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

2021

A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Step-Wise Deep Learning Models for Solving Routing Problems.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2021

A Novel Robotic Guidance System With Eye-Gaze Tracking Control for Needle-Based Interventions.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2021

MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2021

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Detecting the shuttlecock for a badminton robot: A YOLO based approach.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2021

Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Yuan Jiang

Zhiguang Cao

Jie Zhang

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.

[BibT_eX]

[DOI]

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

2020

Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2020

Cost-sensitive deep forest for price prediction.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

An Accurate Solution to the Cardinality-Based Punctuality Problem.

[BibT_eX]

[DOI]

IEEE Intell. Transp. Syst. Mag., 2020

WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020

AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism.

[BibT_eX]

[DOI]

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

2019

WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2019

A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2019

Using FTOC to track shuttlecock for the badminton robot.

[BibT_eX]

[DOI]

Neurocomputing, 2019

A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2019

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Improvement Heuristics for Solving the Travelling Salesman Problem.

[BibT_eX]

[DOI]

CoRR, 2019

An Integrated Approach for a Universal Routing Algorithm.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zhiguang Cao

Hongliang Guo

Jie Zhang

ACM Trans. Intell. Syst. Technol., 2018

Distilling the Knowledge From Handcrafted Features for Human Activity Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2018

A Simulation Environment for Evaluation of Routing Algorithms for Improvement of Electromobility Related Services.

[BibT_eX]

[DOI]

Akshay Rao

Zhiguang Cao

Felix Klanner

IEEE Intell. Transp. Syst. Mag., 2018

Flexible Integrated Sensor Array for Pressure, Humidity and Temperature Sensing<sup>*</sup>.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2017

Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2017

Multiagent-based cooperative vehicle routing using node pressure and auctions.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Improving the Efficiency of Stochastic Vehicle Routing: A Partial Lagrange Multiplier Method.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2016

Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2016

Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

A multi-hop reputation announcement scheme for VANETs.

[BibT_eX]

[DOI]

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

Routing multiple cars in large scale networks: Minimizing road network breakdown probability.

[BibT_eX]

[DOI]

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

A data-driven method for stochastic shortest path problem.

[BibT_eX]

[DOI]

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Zhiguang Cao

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...