Zhiguang Cao

According to our database1, Zhiguang Cao authored at least 32 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


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

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

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

Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems.
CoRR, 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

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

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

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

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

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