- 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) - Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma, Charu Aggarwal, Sourav Medya:
A Survey on Explainability of Graph Neural Networks. IEEE Data Eng. Bull. 46(2): 35-63 (2023) - Varvara Kalokyri, Alexander Borgida, Amélie Marian:
Episodic Memory Integration of Personal Data in YourDigitalSelf. IEEE Data Eng. Bull. 46(4): 30-42 (2023) - Murat Kantarcioglu:
Letter from IEEE TCDE Chair. IEEE Data Eng. Bull. 46(1): 2 (2023) - Murat Kantarcioglu:
A Risk-Aware Paradigm for Privacy-Preserving Machine Learning. IEEE Data Eng. Bull. 46(1): 4-8 (2023) - Wang Lu, Xixu Hu, Jindong Wang, Xing Xie:
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. IEEE Data Eng. Bull. 46(1): 52-66 (2023) - Themis Palpanas:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 46(3): 2 (2023) - John Paparrizos, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin:
Querying Time-Series Data: A Comprehensive Comparison of Distance Measures. IEEE Data Eng. Bull. 46(3): 69-88 (2023) - Karthik Prasad, Sayan Ghosh, Graham Cormode, Ilya Mironov, Ashkan Yousefpour, Pierre Stock:
Reconciling Security and Communication Efficiency in Federated Learning. IEEE Data Eng. Bull. 46(1): 67-78 (2023) - Hongyu Ren, Ali Mousavi, Anil Pacaci, Shihabur Rahman Chowdhury, Jason Mohoney, Ihab F. Ilyas, Yunyao Li, Theodoros Rekatsinas:
Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models. IEEE Data Eng. Bull. 46(2): 126-139 (2023) - Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. 46(1): 170-184 (2023) - Yangqiu Song:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 46(1): 3 (2023) - Karthik Subbian:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 46(2): 4 (2023) - Yandong Sun, Yixuan Tang, Anthony K. H. Tung:
QALinkPlus: Text Enrichment with QA data. IEEE Data Eng. Bull. 46(4): 115-128 (2023) - Zhaoxuan Tan, Meng Jiang:
User Modeling in the Era of Large Language Models: Current Research and Future Directions. IEEE Data Eng. Bull. 46(4): 57-96 (2023) - Wang-Chiew Tan:
Unstructured and structured data: Can we have the best of both worlds with large language models? IEEE Data Eng. Bull. 46(2): 5-11 (2023)