Dr Yang Liu

Uwch-ddarlithydd, Computer Science

yang.liu@abertawe.ac.uk

Ar gael ar gyfer Goruchwyliaeth Ôl-raddedig

Dolenni Ymchwil

Trosolwg

Derbyniodd Dr Yang Liu ei Ddoethuriaeth Athroniaeth mewn Cyfrifiadureg o Brifysgol Rhydychen ym mis Gorffennaf 2018. Ar hyn o bryd mae'n Uwch-ddarlithydd yn yr Adran Gyfrifiadureg ym Mhrifysgol Abertawe. Cyn ymuno â Phrifysgol Abertawe, bu’n gweithio fel Athro Cynorthwyol yn Sefydliad Technoleg Harbin yn Shenzhen o 2018 i 2024.

Mae ei ddiddordebau ymchwil yn canolbwyntio ar ddiogelwch data a chyfrifiadura sy’n cynnal preifatrwydd. Mae ganddo arbenigedd mewn addysgu cyfunol, cymwysiadau blockchain, a dyluniad dulliau diogelu data. Mae ei waith ar hyn o bryd yn archwilio cydgyfeiriant technolegau deallusrwydd artiffisial a seiberddiogelwch, a'r nod o wella cadernid a diogelwch systemau deallusol.

Meysydd Arbenigedd

Diogelwch a Phreifatrwydd
Addysgu Cyfunol
Blockchain

Cyhoeddiadau

Uchafbwyntiau Ymchwil

Liu, Q., Yang, L., Liu, Y., Deng, J., & Wu, G. (2024). Privacy-Preserving Recommendation Based on a Shuffled Federated Graph Neural Network. IEEE Internet Computing, 28(3), 17-24.
https://doi.org/10.1109/mic.2023.3349288, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67201
Jiang, Z., Xie, M., Chen, H., Pan, Y., Lyu, J., Au, M., Fang, J., Liu, Y., & Wang, X. (2024). RPSC: Regulatable Privacy-Preserving Smart Contracts on Account-Based Blockchain. IEEE Transactions on Network Science and Engineering, 11(5), 4822-4835.
https://doi.org/10.1109/tnse.2024.3421539, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67202
Liu, Y., Zhang, Y., Lin, Z., Jiang, Z., & Wang, X. (2024). The Problem of Node Records Forgery in Ethereum Network. In Mechanisms and Machine Science (pp. 931-942). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-031-44947-5_71, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67203
Gao, C., Li, Y., Qi, S., Liu, Y., Wang, X., Zheng, Z., & Liao, Q. (2023). Listening to Users' Voice: Automatic Summarization of Helpful App Reviews. IEEE Transactions on Reliability, 72(4), 1619-1631.
https://doi.org/10.1109/tr.2022.3217566, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67204
Liu, Y., Lin, L., Jiang, L., Zhang, W., Wang, X., Gheisari, M., Gong, T., Gao, C., & Najafabadi, H. (2023). A blockchain‐based privacy‐preserving advertising attribution architecture: Requirements, design, and a prototype implementation. Software: Practice and Experience, 53(8), 1700-1721.
https://doi.org/10.1002/spe.3209, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67206
Kong, L., Luo, W., Zhang, H., Liu, Y., & Shi, Y. (2023). Evolutionary Multilabel Adversarial Examples: An Effective Black-Box Attack. IEEE Transactions on Artificial Intelligence, 4(3), 562-572.
https://doi.org/10.1109/tai.2022.3198629, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67208
Zhang, H., Zhang, W., Feng, Y., & Liu, Y. (2023). SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction. Journal of Information Security and Applications, 75, 103484
https://doi.org/10.1016/j.jisa.2023.103484, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67209
Wu, K., Wang, L., Liu, B., Liu, Y., Wang, Y., & Li, J. (2023). PSPGO: Cross-Species Heterogeneous Network Propagation for Protein Function Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(3), 1713-1724.
https://doi.org/10.1109/tcbb.2022.3215257, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67210
Liu, Y., Xu, W., Lai, J., & Wang, J. (2023). User-Centric Federated Matrix Factorization Based on Differential Privacy. IEEE Internet Computing, 27(3), 21-27.
https://doi.org/10.1109/mic.2023.3263896, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67212
Liu, Y. & Simpson, A. (2017). AdSelector: A Privacy-Preserving Advertisement Selection Mechanism for Mobile Devices. The Computer Journal, 60(8), 1251-1270.
https://doi.org/10.1093/comjnl/bxx029, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67215

Holl Ymchwil

Erthyglau Cylchgronau

Ma, X., Ma, G., Liu, Y., & Qi, S. (2024). APCSMA: Adaptive Personalized Client-Selection and Model-Aggregation Algorithm for Federated Learning in Edge Computing Scenarios. Entropy, 26(8), 712
https://doi.org/10.3390/e26080712, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67498
Jiang, Z., Xie, M., Chen, H., Pan, Y., Lyu, J., Au, M., Fang, J., Liu, Y., & Wang, X. (2024). RPSC: Regulatable Privacy-Preserving Smart Contracts on Account-Based Blockchain. IEEE Transactions on Network Science and Engineering, 11(5), 4822-4835.
https://doi.org/10.1109/tnse.2024.3421539, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67202
Liu, Q., Yang, L., Liu, Y., Deng, J., & Wu, G. (2024). Privacy-Preserving Recommendation Based on a Shuffled Federated Graph Neural Network. IEEE Internet Computing, 28(3), 17-24.
https://doi.org/10.1109/mic.2023.3349288, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67201
Gao, C., Li, Y., Qi, S., Liu, Y., Wang, X., Zheng, Z., & Liao, Q. (2023). Listening to Users' Voice: Automatic Summarization of Helpful App Reviews. IEEE Transactions on Reliability, 72(4), 1619-1631.
https://doi.org/10.1109/tr.2022.3217566, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67204
Lee, C., Gheisari, M., Shayegan, M., Ahvanooey, M., & Liu, Y. (2023). Privacy-Preserving Techniques in Cloud/Fog and Internet of Things. Cryptography, 7(4), 51
https://doi.org/10.3390/cryptography7040051, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67205
Liu, Y., Lin, L., Jiang, L., Zhang, W., Wang, X., Gheisari, M., Gong, T., Gao, C., & Najafabadi, H. (2023). A blockchain‐based privacy‐preserving advertising attribution architecture: Requirements, design, and a prototype implementation. Software: Practice and Experience, 53(8), 1700-1721.
https://doi.org/10.1002/spe.3209, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67206
Kamalov, F., Gheisari, M., Liu, Y., Feylizadeh, M., & Moussa, S. (2023). Critical Controlling for the Network Security and Privacy Based on Blockchain Technology: A Fuzzy DEMATEL Approach. Sustainability, 15(13), 10068
https://doi.org/10.3390/su151310068, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67207
Kong, L., Luo, W., Zhang, H., Liu, Y., & Shi, Y. (2023). Evolutionary Multilabel Adversarial Examples: An Effective Black-Box Attack. IEEE Transactions on Artificial Intelligence, 4(3), 562-572.
https://doi.org/10.1109/tai.2022.3198629, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67208
Zhang, H., Zhang, W., Feng, Y., & Liu, Y. (2023). SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction. Journal of Information Security and Applications, 75, 103484
https://doi.org/10.1016/j.jisa.2023.103484, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67209
Wu, K., Wang, L., Liu, B., Liu, Y., Wang, Y., & Li, J. (2023). PSPGO: Cross-Species Heterogeneous Network Propagation for Protein Function Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(3), 1713-1724.
https://doi.org/10.1109/tcbb.2022.3215257, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67210
Liu, Y., Xu, W., Lai, J., & Wang, J. (2023). User-Centric Federated Matrix Factorization Based on Differential Privacy. IEEE Internet Computing, 27(3), 21-27.
https://doi.org/10.1109/mic.2023.3263896, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67212
Liu, Y. & Simpson, A. (2017). AdSelector: A Privacy-Preserving Advertisement Selection Mechanism for Mobile Devices. The Computer Journal, 60(8), 1251-1270.
https://doi.org/10.1093/comjnl/bxx029, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67215
Liu, Y. & Simpson, A. (2016). Privacy‐preserving targeted mobile advertising: requirements, design and a prototype implementation. Software: Practice and Experience, 46(12), 1657-1684.
https://doi.org/10.1002/spe.2403, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67214

Cyfraniadau Cynadleddau

Liu, Y., Zhang, Y., Lin, Z., Jiang, Z., & Wang, X. (2024). The Problem of Node Records Forgery in Ethereum Network. In Mechanisms and Machine Science (pp. 931-942). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-031-44947-5_71, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67203
Liu, Y. & Simpson, A. (2016). Privacy-Preserving Targeted Mobile Advertising: Formal Models and Analysis. In Lecture Notes in Computer Science (pp. 94-110). Springer International Publishing.
https://doi.org/10.1007/978-3-319-47072-6_7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67213

Modiwlau a Addysgir

CSCM88 Network and Wireless Security

Low cost networked computers add eyes and ears (or sensors) and arms, legs and voices (or actuators) to the Internet ¿ called the Internet of Things (IoT) connected smart objects. Networking technologies play a critical role in almost all modern software-based systems, whether the fixed networks of computers, or the growing pervasive devices which have increasingly diverse profiles of network connectivity. As a result, they provide a potential vector for many forms of attack and are an ideal location for many threat mitigations and isolation technologies.
CSMM88 Network Security

Low cost networked computers add eyes and ears (or sensors) and arms, legs and voices (or actuators) to the Internet ¿ called the Internet of Things (IoT) connected smart objects. Networking technologies play a critical role in almost all modern software-based systems, whether the fixed networks of computers, or the growing pervasive devices which have increasingly diverse profiles of network connectivity. As a result, they provide a potential vector for many forms of attack and are an ideal location for many threat mitigations and isolation technologies.