Bowen Dong

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
Risk-Sensitive Machine Learning for Financial Decision Modeling Under Imbalanced Data: Evidence from Bank Telemarketing.
Entropy, 2026

GraphCon: A Parallel Graph Construction from Relational Data.
Big Data Min. Anal., 2026

2025
An improved educational competition optimizer with multi-covariance learning operators for global optimization problems.
Clust. Comput., December, 2025

Maximum Score Routing For Mixture-of-Experts.
CoRR, August, 2025

Efficient Attention Mechanisms for Large Language Models: A Survey.
CoRR, July, 2025

InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback.
CoRR, May, 2025

Adaptive genetic algorithm-driven global collaborative optimization of multiparameter lubrication film texture morphology for enhanced tribological performance.
J. Comput. Des. Eng., 2025

MultiHGPT: Multi-task heterogeneous graph prompt tuning.
Inf. Process. Manag., 2025

PPO-Based Hierarchical Intelligent Tactical Decision-Making Algorithm for UAV Air Combat.
IEEE Access, 2025

RL-Pruner: Retraining-Free Global Exploration Pruning Method Based on Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2025

Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Maximum Score Routing For Mixture-of-Experts.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
A hybrid path planning algorithm combining A<i>*</i> and improved ant colony optimization with dynamic window approach for enhancing energy efficiency in warehouse environments.
PeerJ Comput. Sci., 2024

Evaluation of Particle Swarm Optimization, Genetic Algorithms, and Ant Colony Optimization in Autonomous Mobile Robots Scheduling: A Comparative Study.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Cost-Optimization-Based Quantum Key Distribution over Quantum Key Pool Optical Networks.
Entropy, April, 2023

A Resource-Adaptive Routing Scheme with Wavelength Conflicts in Quantum Key Distribution Optical Networks.
Entropy, 2023

Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today.
CoRR, 2023

Toward a Unified Framework for Unsupervised Complex Tabular Reasoning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Prompt Tuning for Discriminative Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Multi-scale feature self-enhancement network for few-shot learning.
Multim. Tools Appl., 2021

2020
Trajectory-Based Community Detection.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

FakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Meta-Information Guided Meta-Learning for Few-Shot Relation Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries.
CoRR, 2019

Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries.
Proceedings of the International Joint Conference on Neural Networks, 2019

Transfer Learning for Network Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

MARS: Memory Attention-Aware Recommender System.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Deep Diffusive Neural Network based Fake News Detection from Heterogeneous Social Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

The Link Regression Problem in Graph Streams.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017
Is being connected to leaders always beneficial? Instrumental interaction and the development of social capital within organisational networks.
Enterp. Inf. Syst., 2017

2015
OnlineCM: Real-time Consensus Classification with Missing Values.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015


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