Zhen Wu

Orcid: 0000-0002-7678-103X

Affiliations:
  • Nanjing University, National Key Laboratory for Novel Software Technology, China


According to our database1, Zhen Wu authored at least 55 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Harmonizing Large Language Models with Collaborative Behavioral Signals for Conversational Recommendation.
CoRR, March, 2025

Counterfactual Language Reasoning for Explainable Recommendation Systems.
CoRR, March, 2025

PersuasiveToM: A Benchmark for Evaluating Machine Theory of Mind in Persuasive Dialogues.
CoRR, February, 2025

Rethinking Relation Extraction: Beyond Shortcuts to Generalization with a Debiased Benchmark.
CoRR, January, 2025

Beyond Verbal Cues: Emotional Contagion Graph Network for Causal Emotion Entailment.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
GePBench: Evaluating Fundamental Geometric Perception for Multimodal Large Language Models.
CoRR, 2024

RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation.
CoRR, 2024

Extroversion or Introversion? Controlling The Personality of Your Large Language Models.
CoRR, 2024

AlignGPT: Multi-modal Large Language Models with Adaptive Alignment Capability.
CoRR, 2024

Knowledge-aware Dual-side Attribute-enhanced Recommendation.
CoRR, 2024

AutoSurvey: Large Language Models Can Automatically Write Surveys.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Focus & Gating: A Multimodal Approach for Unveiling Relations in Noisy Social Media.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

A Two-Agent Game for Zero-shot Relation Triplet Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MultiSQL: A Schema-Integrated Context-Dependent Text2SQL Dataset with Diverse SQL Operations.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Label-Correction Capsule Network for Hierarchical Text Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

FOAL: Fine-grained Contrastive Learning for Cross-domain Aspect Sentiment Triplet Extraction.
CoRR, 2023

Towards Better Chain-of-Thought Prompting Strategies: A Survey.
CoRR, 2023

Dynamic Demonstrations Controller for In-Context Learning.
CoRR, 2023

IDOS: A Unified Debiasing Method via Word Shuffling.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Episode-Based Prompt Learning for Any-Shot Intent Detection.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

DRIN: Dynamic Relation Interactive Network for Multimodal Entity Linking.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

MORE: A Multimodal Object-Entity Relation Extraction Dataset with a Benchmark Evaluation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Make BERT-based Chinese Spelling Check Model Enhanced by Layerwise Attention and Gaussian Mixture Model.
Proceedings of the International Joint Conference on Neural Networks, 2023

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Empirical Study and Improvement for Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Sequence-to-Structure Approach to Document-level Targeted Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Addressing Linguistic Bias through a Contrastive Analysis of Academic Writing in the NLP Domain.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Debias NLU Datasets via Training-free Perturbations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

On Prefix-tuning for Lightweight Out-of-distribution Detection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Pairwise tagging framework for end-to-end emotion-cause pair extraction.
Frontiers Comput. Sci., 2022

USB: A Unified Semi-supervised Learning Benchmark.
CoRR, 2022

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.
CoRR, 2022

SPRoBERTa: protein embedding learning with local fragment modeling.
Briefings Bioinform., 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning from Different text-image Pairs: A Relation-enhanced Graph Convolutional Network for Multimodal NER.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning from Adjective-Noun Pairs: A Knowledge-enhanced Framework for Target-Oriented Multimodal Sentiment Classification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Towards Multi-label Unknown Intent Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Margin Calibration for Long-Tailed Visual Recognition.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction.
CoRR, 2020

Opinion Transmission Network for Jointly Improving Aspect-Oriented Opinion Words Extraction and Sentiment Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Transformer-Based Multi-aspect Modeling for Multi-aspect Multi-sentiment Analysis.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Grid Tagging Scheme for End-to-End Fine-grained Opinion Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Attention Transfer Network for Aspect-level Sentiment Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Improving Aspect Identification with Reviews Segmentation.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Improving Review Representations With User Attention and Product Attention for Sentiment Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


  Loading...