Tao Zhang

39 papers A* 1B 4Misc 2Journal 28Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning.
CoRR
Tao Zhang, Ning Yan, Masood Mortazavi, Hoang H. Nguyen, Zhongfen Deng, Philip S. Yu
2024 J jnl
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff.
ACM Comput. Surv.
Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu
2024 — conf
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products.
ACL (Findings)
Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang Nguyen, Philip S. Yu
2023 B conf
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification.
IEEE Big Data
Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu
2023 J jnl
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification.
CoRR
Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu
2023 J jnl
Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria.
IEEE Trans. Neural Networks Learn. Syst.
Tao Zhang, Tianqing Zhu, Kun Gao, Wanlei Zhou, Philip S. Yu
2023 A* conf
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks.
EMNLP
Hoang Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu
2023 J jnl
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks.
CoRR
Hoang H. Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu
2023 J jnl
Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Tao Zhang, Congying Xia, Zhiwei Liu, Shu Zhao, Hao Peng, Philip S. Yu
2023 — conf
Enhancing Cross-lingual Transfer via Phonemic Transcription Integration.
ACL (Findings)
Hoang Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu
2023 J jnl
Enhancing Cross-lingual Transfer via Phonemic Transcription Integration.
CoRR
Hoang Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu
2023 J jnl
Evolution of cooperation in malicious social networks with differential privacy mechanisms.
Neural Comput. Appl.
Tao Zhang, Dayong Ye, Tianqing Zhu, Tingting Liao, Wanlei Zhou
2023 J jnl
Fairness in graph-based semi-supervised learning.
Knowl. Inf. Syst.
Tao Zhang, Tianqing Zhu, Mengde Han, Fengwen Chen, Jing Li, Wanlei Zhou, Philip S. Yu
2023 B conf
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction.
IEEE Big Data
Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu
2023 J jnl
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction.
CoRR
Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu
2023 J jnl
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off.
CoRR
Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu
2023 J jnl
Revisiting model fairness via adversarial examples.
Knowl. Based Syst.
Tao Zhang, Tianqing Zhu, Jing Li, Wanlei Zhou, Philip S. Yu
2023 J jnl
Self-supervised scientific document recommendation based on contrastive learning.
Scientometrics
Shicheng Tan, Tao Zhang, Shu Zhao, Yanping Zhang
2022 J jnl
Correlated data in differential privacy: Definition and analysis.
Concurr. Comput. Pract. Exp.
Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou
2022 J jnl
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination.
IEEE Trans. Knowl. Data Eng.
Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu
2022 J jnl
Privacy, accuracy, and model fairness trade-offs in federated learning.
Comput. Secur.
Xiuting Gu, Tianqing Zhu, Jie Li, Tao Zhang, Wei Ren, Kim-Kwang Raymond Choo
2021 J jnl
An optimized differential privacy scheme with reinforcement learning in VANET.
Comput. Secur.
Xin Chen, Tao Zhang, Sheng Shen, Tianqing Zhu, Ping Xiong
2021 — conf
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition.
EMNLP (1)
Tao Zhang, Congying Xia, Philip S. Yu, Zhiwei Liu, Shu Zhao
2021 — conf
Pre-training Graph Neural Network for Cross Domain Recommendation.
CogMI
Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu
2021 J jnl
Pre-training Graph Neural Network for Cross Domain Recommendation.
CoRR
Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu
2020 J jnl
Correlated Data in Differential Privacy: Definition and Analysis.
CoRR
Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou
2020 J jnl
Correlated Differential Privacy: Feature Selection in Machine Learning.
CoRR
Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou
2020 J jnl
Correlated Differential Privacy: Feature Selection in Machine Learning.
IEEE Trans. Ind. Informatics
Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou
2020 J jnl
Fairness Constraints in Semi-supervised Learning.
CoRR
Tao Zhang, Tianqing Zhu, Mengde Han, Jing Li, Wanlei Zhou, Philip S. Yu
2020 J jnl
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination.
CoRR
Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu
2020 B conf
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing.
COLING
Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
2020 J jnl
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing.
CoRR
Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
2020 J jnl
Security and privacy in 6G networks: New areas and new challenges.
Digit. Commun. Networks
Minghao Wang, Tianqing Zhu, Tao Zhang, Jun Zhang, Shui Yu, Wanlei Zhou
2020 B conf
The Impact of Differential Privacy on Model Fairness in Federated Learning.
NSS
Xiuting Gu, Tianqing Zhu, Jie Li, Tao Zhang, Wei Ren
2018 J jnl
Optimal Pricing for MDS-Coded Caching in Wireless D2D Networks.
Mob. Inf. Syst.
Tao Zhang, Lin Xiao, Dingcheng Yang, Laurie G. Cuthbert
2017 J jnl
Secrecy in Wireless Information and Power Transfer for One-Way and Two-Way Untrusted Relaying with Friendly Jamming.
Mob. Inf. Syst.
Lin Xiao, Tao Zhang, Xue Shen, Dingcheng Yang, Laurie G. Cuthbert
2017 J jnl
User Cooperation in Wireless Powered Communication Networks With a Pricing Mechanism.
IEEE Access
Haole Chen, Lin Xiao, Dingcheng Yang, Tao Zhang, Laurie G. Cuthbert
2016 Misc conf
Caching cooperation with energy harvesting based small cells in heterogeneous networks.
ICCS
Tao Zhang, Lin Xiao, Haole Chen, Laurie G. Cuthbert
2016 Misc conf
Optimal pricing with wireless powered communication network for energy saving.
ICCS
Haole Chen, Lin Xiao, Tao Zhang, Laurie G. Cuthbert