Linbo Qiao
Orcid: 0000-0002-8285-2738
According to our database1,
Linbo Qiao
authored at least 54 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Parallel Distributed Syst., April, 2024
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection.
Inf. Process. Manag., January, 2024
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models.
CoRR, 2024
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features.
CoRR, 2024
2023
An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios.
Inf. Sci., November, 2023
IEEE Trans. Parallel Distributed Syst., August, 2023
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks.
IEEE Trans. Big Data, August, 2023
Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models.
IEEE Trans. Parallel Distributed Syst., May, 2023
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization.
CoRR, 2023
TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks.
CoRR, 2023
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023
Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks.
CoRR, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Image Process., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the Knowledge Science, Engineering and Management, 2021
Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Towards Practical Privacy-Preserving Decision Tree Training and Evaluation in the Cloud.
IEEE Trans. Inf. Forensics Secur., 2020
Neural Comput. Appl., 2020
Frontiers Inf. Technol. Electron. Eng., 2020
Event Arguments Extraction via Dilate Gated Convolutional Neural Network With Enhanced Local Features.
IEEE Access, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
2019
Frontiers Inf. Technol. Electron. Eng., 2019
Block coordinate descentwith time perturbation for nonconvex nonsmooth problems in real-world studies.
Frontiers Inf. Technol. Electron. Eng., 2019
Inf. Sci., 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Stochastic extra-gradient based alternating direction methods for graph-guided regularized minimization.
Frontiers Inf. Technol. Electron. Eng., 2018
On the iteration complexity analysis of Stochastic Primal-Dual Hybrid Gradient approach with high probability.
Neurocomputing, 2018
Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization.
Neurocomputing, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Malware Collusion Attack Against Machine Learning Based Methods: Issues and Countermeasures.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Frontiers Inf. Technol. Electron. Eng., 2017
CoRR, 2017
2016
Semantic tracking: Single-target tracking with inter-supervised convolutional networks.
CoRR, 2016
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
On Stochastic Primal-Dual Hybrid Gradient Approach for Compositely Regularized Minimization.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
An Efficient Algorithm for Tensor Principal Component Analysis via Proximal Linearized Alternating Direction Method of Multipliers.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2016
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization.
Proceedings of The 8th Asian Conference on Machine Learning, 2016
2015
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015
2013
Online Mining of Attack Models in IDS Alerts from Network Backbone by a Two-Stage Clustering Method.
Proceedings of the Cyberspace Safety and Security - 5th International Symposium, 2013
2012
Mining of Attack Models in IDS Alerts from Network Backbone by a Two-stage Clustering Method.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012