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Publication search results
found 1,655 matches
- 2024
- Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie:
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. IEEE Data Eng. Bull. 47(1): 48-62 (2024) - Xi He, Shufan Zhang:
Differential Privacy with Fine-Grained Provenance: Opportunities and Challenges. IEEE Data Eng. Bull. 47(2): 21-49 (2024) - Carlos Gavidia-Calderon, Steve Harris, Markus Hauru, Florimond Houssiau, Carsten Maple, Iain Stenson, May Yong:
Transparent Decisions: Selective Information Disclosure To Generate Synthetic Data. IEEE Data Eng. Bull. 47(2): 50-66 (2024) - Stefan Grafberger, Zeyu Zhang, Sebastian Schelter, Ce Zhang:
Red Onions, Soft Cheese and Data: From Food Safety to Data Traceability for Responsible AI. IEEE Data Eng. Bull. 47(1): 63-81 (2024) - Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao:
Does Differential Privacy Impact Bias in Pretrained Language Models? IEEE Data Eng. Bull. 47(2): 125-137 (2024) - Yulian Mao, Qingqing Ye, Qi Wang, Haibo Hu:
Differential Privacy for Time Series: A Survey. IEEE Data Eng. Bull. 47(2): 67-92 (2024) - Islam A. Monir, Muhamad I. Fauzan, Gabriel Ghinita:
A Review of Adaptive Techniques and Data Management Issues in DP-SGD. IEEE Data Eng. Bull. 47(2): 93-124 (2024) - Senjuti Basu Roy:
Fairness and Robustness in Answering Preference Queries. IEEE Data Eng. Bull. 47(1): 36-47 (2024) - Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh:
Coverage-based Data-centric Approaches for Responsible and Trustworthy AI. IEEE Data Eng. Bull. 47(1): 3-17 (2024) - Donghyun Sohn, Xiling Li, Jennie Rogers:
Everything You Always Wanted to Know About Secure and Private Database Systems (but were Afraid to Ask). IEEE Data Eng. Bull. 47(2): 3-20 (2024) - Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 47(1): 1 (2024) - Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 47(2): 1 (2024) - Steven Euijong Whang:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 47(1): 2 (2024) - Xiaokui Xiao:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 47(2): 2 (2024) - Jiongli Zhu, Babak Salimi:
Overcoming Data Biases: Towards Enhanced Accuracy and Reliability in Machine Learning. IEEE Data Eng. Bull. 47(1): 18-35 (2024) - 2023
- Yiqi Wang, Yao Ma, Wei Jin, Chaozhuo Li, Charu Aggarwal, Jiliang Tang:
Customized Graph Nerual Networks. IEEE Data Eng. Bull. 46(2): 108-125 (2023) - C. Seshadhri:
Limitations of low dimensional graph embeddings. IEEE Data Eng. Bull. 46(2): 96-107 (2023) - Martin Aumüller, Matteo Ceccarello:
Recent Approaches and Trends in Approximate Nearest Neighbor Search, with Remarks on Benchmarking. IEEE Data Eng. Bull. 46(3): 89-105 (2023) - Xueyang Wu, Di Jiang, Yuanfeng Song, Qian Xu, Qiang Yang:
Enhance Mono-modal Sentiment Classification with Federated Cross-modal Transfer. IEEE Data Eng. Bull. 46(1): 158-169 (2023) - Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang:
Graph Data Augmentation for Graph Machine Learning: A Survey. IEEE Data Eng. Bull. 46(2): 140-165 (2023) - Zeyu Wang, Peng Wang, Themis Palpanas, Wei Wang:
Graph- and Tree-based Indexes for High-dimensional Vector Similarity Search: Analyses, Comparisons, and Future Directions. IEEE Data Eng. Bull. 46(3): 3-21 (2023) - Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu:
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46(4): 4-17 (2023) - Dipkamal Bhusal, Sara Rampazzi, Michael Clifford, Nidhi Rastogi:
G-VARS: Towards Personalized Risk Assessments by Analyzing Gun Violence Susceptibility with Personal Knowledge Graphs. IEEE Data Eng. Bull. 46(4): 97-114 (2023) - Prantika Chakraborty, Sudakshina Dutta, Debarshi Kumar Sanyal, Srijoni Majumdar, Partha Pratim Das:
Bringing Order to Chaos: Conceptualizing a Personal Research Knowledge Graph for Scientists. IEEE Data Eng. Bull. 46(4): 43-56 (2023) - Jialin Chen, Kenza Amara, Junchi Yu, Rex Ying:
Generative Explanation for Graph Neural Network: Methods and Evaluation. IEEE Data Eng. Bull. 46(2): 64-79 (2023) - Xin Luna Dong, Alon Y. Halevy, Shane Moon:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 46(4): 3 (2023) - Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Learning Space Partitions for Nearest Neighbor Search. IEEE Data Eng. Bull. 46(3): 55-68 (2023) - Yan Han, Yuning You, Wenqing Zheng, Scott Hoang, Tianxin Wei, Majdi Hassan, Tianlong Chen, Ying Ding, Yang Shen, Zhangyang Wang:
Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. IEEE Data Eng. Bull. 46(2): 80-95 (2023) - Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu:
Federated Ensemble Learning: Increasing the Capacity of Label Private Recommendation Systems. IEEE Data Eng. Bull. 46(1): 145-157 (2023) - Yilun Jin, Yang Liu, Kai Chen, Qiang Tang:
Federated Learning without Full Labels: A Survey. IEEE Data Eng. Bull. 46(1): 27-51 (2023)
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