We stand with Ukraine

We stand with Ukraine

Yike Wu

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

Known people with the same name:

Yike Wu 001 (University of Technology Sydney, School of Electrical and Data Engineering, Sydney, Australia)

Bibliography

2025

ChainMPQ: Interleaved Text-Image Reasoning Chains for Mitigating Relation Hallucinations.

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CoRR, October, 2025

Multimodal Taylor Series Network for Misinformation Detection.

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Proceedings of the ACM on Web Conference 2025, 2025

Enhancing Fake News Detection by Incorporating Evidence Credibility.

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Proceedings of the International Joint Conference on Neural Networks, 2025

HealthBridge: A Cross-lingual Clustering Framework for English-Chinese Health News.

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Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Hierarchical Spatiotemporal Attention Network for Fine-grained Brain Cognitive State Recognition.

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Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

FGDGNN: Fine-Grained Dynamic Graph Neural Network for Rumor Detection on Social Media.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Overview of the Design and Application of Photothermal Immunoassays.

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Sensors, October, 2024

Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs.

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CoRR, 2024

Coverage Path Planning for AUVs Cooperative Environment Detection in Integrated Underwater Acoustic Communication and Detection Networks.

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Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering.

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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MLDT: Multi-Level Decomposition for Complex Long-Horizon Robotic Task Planning with Open-Source Large Language Model.

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Proceedings of the Database Systems for Advanced Applications, 2024

Towards Robust Evidence-Aware Fake News Detection via Improving Semantic Perception.

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Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

An empirical study of pre-trained language models in simple knowledge graph question answering.

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World Wide Web (WWW), September, 2023

Fine-Grained Domain Adaptation for Aspect Category Level Sentiment Analysis.

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IEEE Trans. Affect. Comput., 2023

Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering.

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CoRR, 2023

rT5: A Retrieval-Augmented Pre-trained Model for Ancient Chinese Entity Description Generation.

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Proceedings of the Natural Language Processing and Chinese Computing, 2023

Cooperative Coverage Path Planning for AUVs in Integrated Underwater Acoustic Communication and Detection Networks.

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Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Density-Aware Prototypical Network for Few-Shot Relation Classification.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment.

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Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction.

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Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

When Pairs Meet Triplets: Improving Low-Resource Captioning via Multi-Objective Optimization.

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ACM Trans. Multim. Comput. Commun. Appl., 2022

MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion.

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation.

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances.

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Proceedings of the 29th International Conference on Computational Linguistics, 2022

DEAR: Dual-Level Self-attention GRU for Online Early Prediction of Sepsis.

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Proceedings of the Web Information Systems and Applications, 2022

2021

An Object-Extensible Training Framework for Image Captioning.

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Proceedings of the Natural Language Processing and Chinese Computing, 2021

Language Resource Efficient Learning for Captioning.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Unmanned Aerial Vehicle Knowledge Graph Construction with SpERT.

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Proceedings of the CCKS 2021 - Evaluation Track, 2021

2019

Improving Captioning for Low-Resource Languages by Cycle Consistency.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification.

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

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