Yike Wu

Orcid: 0000-0001-7384-8836

According to our database1, Yike Wu authored at least 23 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
MLDT: Multi-Level Decomposition for Complex Long-Horizon Robotic Task Planning with Open-Source Large Language Model.
CoRR, 2024

Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs.
CoRR, 2024

2023
An empirical study of pre-trained language models in simple knowledge graph question answering.
World Wide Web (WWW), September, 2023

Fine-Grained Domain Adaptation for Aspect Category Level Sentiment Analysis.
IEEE Trans. Affect. Comput., 2023

Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering.
CoRR, 2023

rT5: A Retrieval-Augmented Pre-trained Model for Ancient Chinese Entity Description Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Cooperative Coverage Path Planning for AUVs in Integrated Underwater Acoustic Communication and Detection Networks.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Density-Aware Prototypical Network for Few-Shot Relation Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Adaptive Local Feature Matching for Few-shot Fine-grained Image Recognition.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction.
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.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Sample-Centric Feature Generation for Semi-Supervised Few-Shot Learning.
IEEE Trans. Image Process., 2022

MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation.
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.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

DEAR: Dual-Level Self-attention GRU for Online Early Prediction of Sepsis.
Proceedings of the Web Information Systems and Applications, 2022

2021
An Object-Extensible Training Framework for Image Captioning.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Language Resource Efficient Learning for Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Unmanned Aerial Vehicle Knowledge Graph Construction with SpERT.
Proceedings of the CCKS 2021 - Evaluation Track, 2021

2019
Improving Captioning for Low-Resource Languages by Cycle Consistency.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

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