| Security and privacy in 6G networks: New areas and new challenges M Wang, T Zhu, T Zhang, J Zhang, S Yu, W Zhou Digital Communications and Networks 6 (3), 281-291, 2020 | 290 | 2020 |
| Correlated differential privacy: Feature selection in machine learning T Zhang, T Zhu, P Xiong, H Huo, Z Tari, W Zhou IEEE Transactions on Industrial Informatics 16 (3), 2115-2124, 2019 | 65 | 2019 |
| Fairness in semi-supervised learning: Unlabeled data help to reduce discrimination T Zhang, T Zhu, J Li, M Han, W Zhou, SY Philip IEEE Transactions on Knowledge and Data Engineering 34 (4), 1763-1774, 2020 | 51 | 2020 |
| User cooperation in wireless powered communication networks with a pricing mechanism H Chen, L Xiao, D Yang, T Zhang, L Cuthbert IEEE Access 5, 16895-16903, 2017 | 29 | 2017 |
| Balancing learning model privacy, fairness, and accuracy with early stopping criteria T Zhang, T Zhu, K Gao, W Zhou, SY Philip IEEE Transactions on Neural Networks and Learning Systems 34 (9), 5557-5569, 2021 | 26 | 2021 |
| Correlated data in differential privacy: definition and analysis T Zhang, T Zhu, R Liu, W Zhou Concurrency and Computation: Practice and Experience 34 (16), e6015, 2022 | 21 | 2022 |
| Privacy, accuracy, and model fairness trade-offs in federated learning X Gu, Z Tianqing, J Li, T Zhang, W Ren, KKR Choo Computers & Security 122, 102907, 2022 | 19 | 2022 |
| An optimized differential privacy scheme with reinforcement learning in VANET X Chen, T Zhang, S Shen, T Zhu, P Xiong Computers & Security 110, 102446, 2021 | 17 | 2021 |
| Privacy and fairness in Federated learning: on the perspective of Tradeoff H Chen, T Zhu, T Zhang, W Zhou, PS Yu ACM Computing Surveys 56 (2), 1-37, 2023 | 13 | 2023 |
| Fairness in graph-based semi-supervised learning T Zhang, T Zhu, M Han, F Chen, J Li, W Zhou, PS Yu Knowledge and Information Systems 65 (2), 543-570, 2023 | 8 | 2023 |
| Fairness constraints in semi-supervised learning T Zhang, T Zhu, M Han, J Li, W Zhou, PS Yu arXiv preprint arXiv:2009.06190, 2020 | 7 | 2020 |
| Secrecy in wireless information and power transfer for one-way and two-way untrusted relaying with friendly jamming L Xiao, T Zhang, X Shen, D Yang, L Cuthbert Mobile Information Systems 2017, 2017 | 5 | 2017 |
| The impact of differential privacy on model fairness in federated learning X Gu, T Zhu, J Li, T Zhang, W Ren Network and System Security: 14th International Conference, NSS 2020 …, 2020 | 4 | 2020 |
| CoF-CoT: Enhancing large language models with coarse-to-fine chain-of-thought prompting for multi-domain NLU tasks HH Nguyen, Y Liu, C Zhang, T Zhang, PS Yu arXiv preprint arXiv:2310.14623, 2023 | 3 | 2023 |
| Evolution of cooperation in malicious social networks with differential privacy mechanisms T Zhang, D Ye, T Zhu, T Liao, W Zhou Neural Computing and Applications, 1-16, 2023 | 3 | 2023 |
| Revisiting model fairness via adversarial examples T Zhang, T Zhu, J Li, W Zhou, SY Philip Knowledge-Based Systems 277, 110777, 2023 | 2 | 2023 |
| Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification Z Deng, S Yoon, T Bui, F Dernoncourt, QH Tran, S Liu, W Zhao, T Zhang, ... 2023 IEEE International Conference on Big Data (BigData), 636-645, 2023 | 1 | 2023 |
| Optimal pricing with wireless powered communication network for energy saving H Chen, L Xiao, T Zhang, L Cuthbert 2016 IEEE International Conference on Communication Systems (ICCS), 1-6, 2016 | 1 | 2016 |
| Caching cooperation with energy harvesting based small cells in heterogeneous networks T Zhang, L Xiao, H Chen, L Cuthbert 2016 IEEE International Conference on Communication Systems (ICCS), 1-6, 2016 | 1 | 2016 |
| Optimal Pricing for MDS-Coded Caching in Wireless D2D Networks T Zhang, L Xiao, D Yang, L Cuthbert Mobile Information Systems 2018, 2018 | | 2018 |
Tianqing ZhuCity University of MacauVerified email at cityu.edu.mo
