I am a PhD Candidate at the School of Computer Science and Engineering, University of New South wales, Sydney, co-supervised by Dr. Wen Hu, Prof. Mahbub Hassan and Prof. Dali Kaafar.

I received my M.S. degree from the Department of Science and Technology, University of Science and Technology of China, supervised by Prof. Thomas Weise. During my master, I worked as a research assistant at The Joint USTC-Birmingham Research Institute in Intelligent Computation and Its Applications.

I am currently working on the Cyber Security and novel applications for IoT.

Before I study at UNSW, I worked on Evolutionary Computation at USTC.

03/2024------ One paper accepted at IEEE Internet of Things Journal (IoTJ)

03/2023------ One paper accepted at ACM Transactions on Sensor Networks (TOSN)

12/2022------ One paper accepted at IEEE Internet of Things Journal (IoTJ).

12/2022------One poster accepted at MobiCom 2022.

05/2022------ One paper accepted at IMWUT/UbiComp 2022.

04/2022------ One paper accepted at IEEE ICDCS 2022.

12/2020------ One paper accepted at EWSN 2021.

01/2020------ One paper accepted at  IMWUT/UbiComp 2020.

01/2020------ One paper accepted at ACM/IEEE IPSN 2020.

12/2019------ One paper accepted at IEEE INFOCOM 2020.

04/2019------ I am invited as a review of Applied Soft Computing Journal.

04/2019------ I am invited as a review of GECCO 2019.

03/2019------ One paper is accepted at Journal of Experimental & Theoretical Artificial Intelligence (JETAI).

UNSW:

Conference Papers:

1. Yuezhong Wu, Mahbub Hassan and Wen hu, "SafeGait: Safeguarding Gait-based Key Generation against Vision based Side Channel Attack using Generative Adversarial Network", ACM Interactive, Mobile, Wireless and Ubiquitous Technology (IMWUT/UBICOMP) 2022, 

2. Huanqi Yang, Hongbo Liu, Yuezhong Wu, Chengwen Luo, Wei Li, Albert Zomaya, Linqi Song and Weitao Xu. "Vehicle-Key: A Secret Key Establishment Scheme for LoRa-enabled IoV Communications", Accepted by IEEE Conference on Distributed Computing Systems (ICDCS) 2022.

3. Hong Jia, Jun Liu, Yuezhong Wu, Tomasz. Bednarz, Lina Yao and Wen Hu, "Condor: Mobile Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Network", In Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks (EWSN) 2021

4. Yuezhong Wu, Qi Lin, Hong Jia, Wen Hu, and Mahbub Hassan, "Auto-Key: Using Autoencoder to Speed Up Gait-based Key Generation in Body Area Networks”, ACM Interactive, Mobile, Wireless and Ubiquitous Technology (IMWUT/UBICOMP) 2020

5. Qi Lin, Shuhua Peng, Yuezhong Wu, Jun liu, Wen Hu, Mahbub Hassan, Aurna Seneviratne and Chun H.  Wang, "E-Jacket: Posture Detection with Loose-Fitting Garment using a Novel Strain Sensor”, ACM/IEEE conference on Information Processing in Sensor Networks (IPSN), Sydney, Australia, 2020.

6. Dong Ma, Yuezhong Wu, Ming Ding, Mahbub Hassan, and Wen Hu. "Skin-MIMO: Vibration-based MIMO Communication over Human Skin". In the IEEE International Conference on Computer Communications, (INFOCOM) 2020

Journal Papers:

1. Wei Song, ChunTung Chou, Hong Jia, Min Wang, Yuezhong Wu, Wanli Xue, Jiankun Hu and Wen hu, "Pistis: Replay Attack and Liveness Detection for Gait-based User Authentication System on Wearable Devices Using Vibration "  IEEE Internet of Things Journal  (IoTJ) 2022

2. Qi Lin, Shuhua Peng, Yuezhong Wu, Jun Liu, Hong Jia, Wen Hu, Mahbub Hassan, Aruna Seneviratne, Chun H Wang”Subject-Adaptive Loose-Fitting Smart Garment Platform for Human Activity Recognition” ACM Transactions on Sensor Networks (TOSN) 2023

3. Yuezhong Wu, Wei Song, Yanxiang Wang, Dong Ma, Weitao Xu, Mahbub Hassan, Wen Hu. "VibMilk: Non-Intrusive Milk Spoilage Detection via Smartphone Vibration"  IEEE Internet of Things Journal  (IoTJ) 2024

Posters and Demo:

1. Wei Song, Min Wang, Yuezhong Wu, Chun Tung Chou, Jiankun Hu, Wen Hu (UNSW); "Poster Abstract: Towards Behavior-Independent in-hand User Authentication on Smartphone Using Vibration". Annual International Conference On Mobile Computing And Networking (MobiCom) 2022

2. Yuezhong Wu, Carlos Ruiz, Shijia Pan, Hae Young Noh, Mahbub Hassan, Pei Zhang, Wen Hu, ”Using Deep Learning to Classify The Acceleration Measurement Devices”, International Symposium on Information Processing in Sensor Networks (IPSN), 2020.

3. Qi Lin, Yuezhong Wu, Jun Liu, Wen Hu, Mahbub Hasaanm "Demo Abstract: Human Activity Detection with Loose-Fitting Smart Jacket", International Symposium on Information Processing in Sensor Networks (IPSN), 2020.

4. Hong Jia, Yuezhong Wu, Jun Liu, Lina Yao, and Wen Hu. Mobile Golf Swing Tracking Using Deep Learning with Data Fusion. In Proceedings of the 17th ACM Conference on Embedded Networked Sensor Systems (Sensys), ACM, 2019.

5. Yuezhong Wu, Wen Hu, and Mahbub Hassan. Learning for Device Pairing in Body Area Networks. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (Sensys) 2018.

USTC: 

1. Thomas Weise, Yuezhong Wu, Weichen Liu, and Raymond Chiong. Implementation Issues in Optimization Algorithms: Do they matter? Journal of Experimental & Theoretical Artificial Intelligence (JETAI), 2019.

2. Weichen Liu, Thomas Weise, Yuezhong Wu, and Qi Qi. Combining Two Local Searches with Crossover: An Efficient Hybrid Algorithm for the Traveling Salesman Problem. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'17), July 15-19, 2017, Berlin, Germany, New York, NY, USA: ACM Press, pages 298-305, ISBN: 978-1-4503-4920-8

3. Thomas Weise, Yuezhong Wu, Raymond Chiong, Ke Tang, and Jörg Lässig. Global versus Local Search: The Impact of Population Sizes on Evolutionary Algorithm Performance. Journal of Global Optimization 66(3):511-534, November 2016.

4. Yuezhong Wu, Thomas Weise, and Weichen Liu. Hybridizing Different Local Search Algorithms with Each Other and Evolutionary Computation: Better Performance on the Traveling Salesman Problem. In Proceedings of the 18th Genetic and Evolutionary Computation Conference (GECCO'16), Denver, Colorado, USA, July 20–24, 2016, pages 57-58, New York, NY, USA: Association for Computing Machinery (ACM). ISBN: 978-1-4503-4323-7doi:10.1145/2908961.2909001 

5. Weichen Liu, Thomas Weise, Yuezhong Wu, Dan Xu, and Raymond Chiong. An Improved Ejection Chain Method and Its Hybrid Versions for Solving the Traveling Salesman Problem. Journal of Computational and Theoretical Nanoscience 13(6):3601-3610, June 2016

6. Weichen Liu, Thomas Weise, Yuezhong Wu, and Raymond Chiong. Hybrid Ejection Chain Methods for the Traveling Salesman Problem. In Proceedings of the 10th International Conference on Bio-Inspired Computing – Theories and Applications (BIC-TA'15)

7. Dan Xu, Thomas Weise, Yuezhong Wu, Jörg Lässig, and Raymond Chiong. An Investigation of Hybrid Tabu Search for the Traveling Salesman Problem. In Proceedings of the 10th International Conference on Bio-Inspired Computing – Theories and Applications (BIC-TA'15)

8. Yuezhong Wu, Thomas Weise, and Raymond Chiong. Local Search for the Traveling Salesman Problem: A Comparative Study. In Proceedings of the 14th IEEE Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC'15)

2021 Reviewer,  ACM MobiSys,  ACM SenSys

2020 Reviewer, IEEE TIFS

2019 Reviewer,  ACM/IEEE IPSN, ACM SenSys, ACM BuildSys

2019 Reviewer, IEEE CEC, GECCO  Applied Soft Computing

2019 Companion Programme Committee,  GECCO