Zimu Wang

Orcid: 0009-0003-3640-8251

According to our database1, Zimu Wang authored at least 23 papers between 2022 and 2024.

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

Timeline

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Bibliography

2024
TKP-Net: A Three Keypoint Detection Network for Ships Using SAR Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Domain-specific Guided Summarization for Mental Health Posts.
CoRR, 2024

Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection.
CoRR, 2024

Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering.
CoRR, 2024

Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation.
CoRR, 2024

Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection.
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

Knowledge Base-enhanced Multilingual Relation Extraction with Large Language Models.
Proceedings of the First International OpenKG Workshop: Large Knowledge-Enhanced Models co-locacted with The International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

MTSwitch: A Web-based System for Translation between Molecules and Texts.
Proceedings of the 17th International Natural Language Generation Conference, 2024

Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FinBPM: A Framework for Portfolio Management-based Financial Investor Behavior Perception Model.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Generating Valid and Natural Adversarial Examples with Large Language Models.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
Generating Valid and Natural Adversarial Examples with Large Language Models.
CoRR, 2023

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks.
CoRR, 2023

Exploring and Exploiting Data Heterogeneity in Recommendation.
CoRR, 2023

CMG: Class and mask guided network for hippocampus and its subregions segmentation.
Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Attention-Based Multimodal Bilinear Feature Fusion for Lung Cancer Survival Analysis.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Invariant Preference Learning for General Debiasing in Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Traffic Data Scheduling of Frequent Application Sets for Task Offloading in Multi-access Edge Computing.
Proceedings of the IEEE International Conference on Communications, 2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Battery Management System Design for Industrial Manufacture.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022


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