Optimal pricing with wireless powered communication network for energy saving. - Haole Chen; Lin Xiao 001; Tao Zhang 055; Laurie G. Cuthbert (ICCS, 2016)

Caching cooperation with energy harvesting based small cells in heterogeneous networks. - Tao Zhang 055; Lin Xiao 001; Haole Chen; Laurie G. Cuthbert (ICCS, 2016)

User Cooperation in Wireless Powered Communication Networks With a Pricing Mechanism. - Haole Chen; Lin Xiao 001; Dingcheng Yang; Tao Zhang 055; Laurie G. Cuthbert (IEEE Access, 2017)

Secrecy in Wireless Information and Power Transfer for One-Way and Two-Way Untrusted Relaying with Friendly Jamming. - Lin Xiao 001; Tao Zhang 055; Xue Shen; Dingcheng Yang; Laurie G. Cuthbert (Mob. Inf. Syst., 2017)

Optimal Pricing for MDS-Coded Caching in Wireless D2D Networks. - Tao Zhang 055; Lin Xiao 001; Dingcheng Yang; Laurie G. Cuthbert (Mob. Inf. Syst., 2018)

MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. - Tao Zhang 055; Congying Xia; Chun-Ta Lu; Philip S. Yu (COLING, 2020)

The Impact of Differential Privacy on Model Fairness in Federated Learning. - Xiuting Gu; Tianqing Zhu; Jie Li 002; Tao Zhang 055; Wei Ren 002 (NSS, 2020)

Fairness Constraints in Semi-supervised Learning. - Tao Zhang 055; Tianqing Zhu; Mengde Han; Jing Li 009; Wanlei Zhou 001; Philip S. Yu (CoRR, 2020)

Security and privacy in 6G networks: New areas and new challenges. - Minghao Wang; Tianqing Zhu; Tao Zhang 055; Jun Zhang 010; Shui Yu 001; Wanlei Zhou 001 (Digit. Commun. Networks, 2020)

Correlated Differential Privacy: Feature Selection in Machine Learning. - Tao Zhang 055; Tianqing Zhu; Ping Xiong 001; Huan Huo; Zahir Tari; Wanlei Zhou 001 (IEEE Trans. Ind. Informatics, 2020)

Pre-training Graph Neural Network for Cross Domain Recommendation. - Chen Wang 052; Yueqing Liang; Zhiwei Liu 001; Tao Zhang 055; Philip S. Yu (CogMI, 2021)

PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition. - Tao Zhang 055; Congying Xia; Philip S. Yu; Zhiwei Liu 001; Shu Zhao (EMNLP (1), 2021)

An optimized differential privacy scheme with reinforcement learning in VANET. - Xin Chen; Tao Zhang 055; Sheng Shen 005; Tianqing Zhu; Ping Xiong 001 (Comput. Secur., 2021)

Pre-training Graph Neural Network for Cross Domain Recommendation. - Chen Wang 018; Yueqing Liang; Zhiwei Liu 001; Tao Zhang 055; Philip S. Yu (CoRR, 2021)

Privacy, accuracy, and model fairness trade-offs in federated learning. - Xiuting Gu; Tianqing Zhu; Jie Li 002; Tao Zhang 055; Wei Ren 002; Kim-Kwang Raymond Choo (Comput. Secur., 2022)

Correlated data in differential privacy: Definition and analysis. - Tao Zhang 055; Tianqing Zhu; Renping Liu; Wanlei Zhou 001 (Concurr. Comput. Pract. Exp., 2022)

Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination. - Tao Zhang 055; Tianqing Zhu; Jing Li 009; Mengde Han; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2022)

Enhancing Cross-lingual Transfer via Phonemic Transcription Integration. - Hoang Nguyen; Chenwei Zhang; Tao Zhang 055; Eugene Rohrbaugh; Philip S. Yu (ACL (Findings), 2023)

JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. - Zhongfen Deng; Hao Peng 001; Tao Zhang 055; Shuaiqi Liu 002; Wenting Zhao 006; Yibo Wang 001; Philip S. Yu (IEEE Big Data, 2023)

Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. - Zhongfen Deng; Seunghyun Yoon 002; Trung Bui; Franck Dernoncourt; Quan Hung Tran; Shuaiqi Liu 002; Wenting Zhao 006; Tao Zhang 055; Yibo Wang 001; Philip S. Yu (IEEE Big Data, 2023)

CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. - Hoang Nguyen; Ye Liu 006; Chenwei Zhang; Tao Zhang 055; Philip S. Yu (EMNLP, 2023)

Privacy and Fairness in Federated Learning: on the Perspective of Trade-off. - Huiqiang Chen; Tianqing Zhu; Tao Zhang 055; Wanlei Zhou 001; Philip S. Yu (CoRR, 2023)

CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. - Hoang H. Nguyen; Ye Liu 006; Chenwei Zhang; Tao Zhang 055; Philip S. Yu (CoRR, 2023)

Fairness in graph-based semi-supervised learning. - Tao Zhang 055; Tianqing Zhu; Mengde Han; Fengwen Chen; Jing Li 009; Wanlei Zhou 001; Philip S. Yu (Knowl. Inf. Syst., 2023)

Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER. - Tao Zhang 055; Congying Xia; Zhiwei Liu 001; Shu Zhao; Hao Peng 001; Philip S. Yu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Evolution of cooperation in malicious social networks with differential privacy mechanisms. - Tao Zhang 055; Dayong Ye; Tianqing Zhu; Tingting Liao; Wanlei Zhou 001 (Neural Comput. Appl., 2023)

Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria. - Tao Zhang 055; Tianqing Zhu; Kun Gao 006; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Revisiting model fairness via adversarial examples. - Tao Zhang 055; Tianqing Zhu; Jing Li 009; Wanlei Zhou 001; Philip S. Yu (Knowl. Based Syst., 2023)

Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products. - Tao Zhang 055; Chenwei Zhang; Xian Li; Jingbo Shang; Hoang Nguyen; Philip S. Yu (ACL (Findings), 2024)

Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning. - Tao Zhang 055; Ning Yan; Masood Mortazavi; Hoang H. Nguyen; Zhongfen Deng; Philip S. Yu (CoRR, 2024)

Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff. - Huiqiang Chen; Tianqing Zhu; Tao Zhang 055; Wanlei Zhou 001; Philip S. Yu (ACM Comput. Surv., 2024)