Zhiguang Cao

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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

Jing Guo, Yi Liu, Qing Qiu, Jie Huang, Chao Liu, Zhiguang Cao, Yue Chen

IEEE Trans. Cogn. Dev. Syst., 2021

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

Yunyun Niu, Yongpeng Zhang, Zhiguang Cao, Kaizhou Gao, Jianhua Xiao, Wen Song, Fangwei Zhang

Swarm Evol. Comput., 2021

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

Zhiguang Cao, Tingbo Liao, Wen Song, Zhenghua Chen, Chongshou Li

Expert Syst. Appl., 2021

2020

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

Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Zhenghua Chen, Le Zhang, Xuexi Zhang

IEEE Trans. Veh. Technol., 2020

Cost-sensitive deep forest for price prediction.

Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng

Pattern Recognit., 2020

An Accurate Solution to the Cardinality-Based Punctuality Problem.

Zhiguang Cao, Yaoxin Wu, Akshay Rao, Felix Klanner, Stefan Erschen, Wei Chen, Le Zhang, Hongliang Guo

IEEE Intell. Transp. Syst. Mag., 2020

WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests.

Le Zhang, Zhenghua Chen, Wei Cui, Bing Li, Cen Chen, Zhiguang Cao, Kaizhou Gao

IEEE Internet Things J., 2020

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

Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

CoRR, 2020

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

Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu

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.

Jiawen Kang, Zehui Xiong, Dusit Niyato, Zhiguang Cao, Amir Leshem

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

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

Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang

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

2019

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

Zhenghua Chen, Le Zhang, Chaoyang Jiang, Zhiguang Cao, Wei Cui

IEEE Trans. Mob. Comput., 2019

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

Wen Song, Donghun Kang, Jie Zhang, Zhiguang Cao, Hui Xi

J. Artif. Intell. Res., 2019

Using FTOC to track shuttlecock for the badminton robot.

Wei Chen, Tingbo Liao, Zhihang Li, Haozhi Lin, Hong Xue, Le Zhang, Jing Guo, Zhiguang Cao

Neurocomputing, 2019

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

Kaizhou Gao, Zhiguang Cao, Le Zhang, Zhenghua Chen, Yuyan Han, Quanke Pan

IEEE CAA J. Autom. Sinica, 2019

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems.

Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim

CoRR, 2019

Learning Improvement Heuristics for Solving the Travelling Salesman Problem.

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim

CoRR, 2019

An Integrated Approach for a Universal Routing Algorithm.

Mareike Hedderich, Ulrich Fastenrath, Zhiguang Cao, Michael G. H. Bell, Klaus Bogenberger

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.

Zhiguang Cao, Hongliang Guo, Jie Zhang

ACM Trans. Intell. Syst. Technol., 2018

Distilling the Knowledge From Handcrafted Features for Human Activity Recognition.

Zhenghua Chen, Le Zhang, Zhiguang Cao, Jing Guo

IEEE Trans. Ind. Informatics, 2018

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

Akshay Rao, Zhiguang Cao, Felix Klanner

IEEE Intell. Transp. Syst. Mag., 2018

Flexible Integrated Sensor Array for Pressure, Humidity and Temperature Sensing^*.

Tie Li, Lili Li, Zhiguang Cao, Ting Zhang

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.

Xuexi Zhang, Shuibiao Chen, Zhiguang Cao, Shuting Cai, Zerong Peng, Xiaoming Xiong

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.

Zhiguang Cao, Siwei Jiang, Jie Zhang, Hongliang Guo

IEEE Trans. Intell. Transp. Syst., 2017

Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability.

Hongliang Guo, Zhiguang Cao, Madhavan Seshadri, Jie Zhang, Dusit Niyato, Ulrich Fastenrath

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

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

Madhavan Seshadri, Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath

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

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

Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath

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

2016

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

Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath

IEEE Trans. Veh. Technol., 2016

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

Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath

IEEE Trans. Intell. Transp. Syst., 2016

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

Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

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

Hongliang Guo, Zhiguang Cao, Jie Zhang, Dusit Niyato, Ulrich Fastenrath

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

A data-driven method for stochastic shortest path problem.

Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath

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