Zhen Wu
35 papers · 2019–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
(25)
Artificial Intelligence
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Deep Learning
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Natural Language Processing
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Core AI
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Learning Types Β· Machine Learning
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Core Methods
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large language model
(6)
aspect-based sentiment analysis
(5)
text classification
(4)
semi-supervised learning
(3)
named entity recognition
(3)
opinion mining
(3)
sentiment analysis
(3)
opinion extraction
(2)
retrieval-augmented generation
(2)
aspect-based sentiment
(2)
reinforcement learning
(2)
transfer learning
(2)
domain adaptation
(2)
multimodal learning
(2)
multi-label classification
(2)
natural language processing
(2)
sequence labeling
(2)
benchmark evaluation
(2)
attention mechanism
(2)
consistency regularization
(2)
Papers
AI Education Across the Curriculum: Design and Pilot Study of a Cross-Disciplinary Module Set
AAAI 2026
Investigating Prosocial Behavior Theory in LLM Agents Under Policy-Induced Inequities
AAAI 2026
Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
ACL 2026
OS-Fed: One Snapshot Is All You Need
CVPR 2026
Beyond Verbal Cues: Emotional Contagion Graph Network for Causal Emotion Entailment
ACL 2025
Human-Object Interaction from Human-Level Instructions
ICCV 2025
RΒ²-CoD: Understanding Text-Graph Complementarity in Relational Reasoning via Knowledge Co-Distillation
IJCNLP 2025
RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios
EMNLP 2025
A Two-Agent Game for Zero-shot Relation Triplet Extraction
ACL 2024
AutoSurvey: Large Language Models Can Automatically Write Surveys
NeurIPS 2024
Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering
COLING 2024
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models
EMNLP 2024
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation
NAACL 2024
Evaluating Large Language Models on Social Signal Sensitivity: An Appraisal Theory Approach
ACL 2024
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations
ACL 2024
MultiSQL: A Schema-Integrated Context-Dependent Text2SQL Dataset with Diverse SQL Operations
ACL 2024
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
EMNLP 2024
Addressing Linguistic Bias through a Contrastive Analysis of Academic Writing in the NLP Domain
EMNLP 2023
A Sequence-to-Structure Approach to Document-level Targeted Sentiment Analysis
EMNLP 2023
Debias NLU Datasets via Training-free Perturbations
EMNLP 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
ICLR 2023
M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis
EMNLP 2023
Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction
ACL 2023
On Prefix-tuning for Lightweight Out-of-distribution Detection
ACL 2023
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction
COLING 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection
EMNLP 2022
Learning from Adjective-Noun Pairs: A Knowledge-enhanced Framework for Target-Oriented Multimodal Sentiment Classification
COLING 2022
Margin Calibration for Long-Tailed Visual
Recognition
ACML 2022
Towards Multi-label Unknown Intent Detection
COLING 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
NeurIPS 2022
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
NAACL 2021
Attention Transfer Network for Aspect-level Sentiment Classification
COLING 2020
Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction
EMNLP 2020
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
AAAI 2020
Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling
NAACL 2019