Linbo Qiao

Orcid: 0000-0002-8285-2738

According to our database1, Linbo Qiao authored at least 61 papers between 2012 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A unified multimodal classification framework based on deep metric learning.
Neural Networks, 2025

2024
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training.
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

TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features.
CoRR, 2024

LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction.
Proceedings of the ACM on Web Conference 2024, 2024

Adaptive Selective Knowledge Distillation: Not Blindly Accepting Teachers as Oracles.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

FEW: Multi-modal Recommendation for Cold-Start.
Proceedings of the International Joint Conference on Neural Networks, 2024

3D Parallelism for Transformers via Integer Programming.
Proceedings of the IEEE International Conference on Acoustics, 2024

FDIG: A Fine-Grained Data Integration Approach for Group Recommendation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Emancipating Event Extraction from the Constraints of Long-Tailed Distribution Data Utilizing Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios.
Inf. Sci., November, 2023

A Survey on Auto-Parallelism of Large-Scale Deep Learning Training.
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

Parallelized ADMM with General Objectives for Deep Learning.
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

DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation.
CoRR, 2022

Event Coreference Resolution based on Convolutional Siamese network and Circle Loss.
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

Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Nonergodic Complexity of Proximal Inertial Gradient Descents.
IEEE Trans. Neural Networks Learn. Syst., 2021

Novel Convergence Results of Adaptive Stochastic Gradient Descents.
IEEE Trans. Image Process., 2021

Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

A survey of script learning.
Frontiers Inf. Technol. Electron. Eng., 2021

CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction.
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

Multi-view Interaction Learning for Few-Shot Relation Classification.
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

Accelerating SGD using flexible variance reduction on large-scale datasets.
Neural Comput. Appl., 2020

An efficient parallel and distributed solution to nonconvex penalized linear SVMs.
Frontiers Inf. Technol. Electron. Eng., 2020

Event Arguments Extraction via Dilate Gated Convolutional Neural Network With Enhanced Local Features.
IEEE Access, 2020

ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019
Mini-batch cutting plane method for regularized risk minimization.
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

Bregman reweighted alternating minimization and its application to image deblurring.
Inf. Sci., 2019

Exploring Pre-trained Language Models for Event Extraction and Generation.
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

Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

FVR-SGD: A New Flexible Variance-Reduction Method for SGD on Large-Scale Datasets.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines.
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

Learning for Disparity Estimation Through Feature Constancy.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
A systematic review of structured sparse learning.
Frontiers Inf. Technol. Electron. Eng., 2017

Learning Deep Correspondence through Prior and Posterior Feature Constancy.
CoRR, 2017

2016
Semantic tracking: Single-target tracking with inter-supervised convolutional networks.
CoRR, 2016

Rigidly Self-Expressive Sparse Subspace Clustering.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes.
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
Sparse Subspace Clustering for Incomplete Images.
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


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