Deyu Zhou
75 papers · 2008–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Academic Marathon (17)
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Cross-Pollinator
(8)
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Academic Marathon
(17)
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(22)
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Dynamic Duo
(35)
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(2)
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(14)
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Topic Evolution
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Prolific Year
(6)
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Keyword Collector
(289)
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Unstoppable
(12)
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Century Club
(71)
Conferences
ACL (25)
EMNLP (19)
COLING (12)
AAAI (5)
IJCNLP (4)
IJCAI (3)
EACL (2)
NAACL (2)
ACML (1)
CVPR (1)
ICCV (1)
Top co-authors
Keywords
large language model
(8)
fact verification
(7)
contrastive learning
(7)
multi-hop reasoning
(6)
topic modeling
(5)
emotion detection
(5)
event extraction
(5)
neural topic model
(5)
opinion summarization
(4)
sentiment analysis
(4)
neural network
(4)
named entity recognition
(3)
causal inference
(3)
transfer learning
(3)
retrieval-augmented generation
(3)
few-shot learning
(3)
multi-task learning
(3)
data augmentation
(3)
text classification
(3)
explainable ai
(3)
Papers
Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties
EACL 2026
Beyond Static Artifacts: An Evolutionary Framework for Synthetic Claim Generation
ACL 2026
When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM Judges
ACL 2026
Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning
ACL 2026
Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens
EMNLP 2025
Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment
AAAI 2025
WebWalker: Benchmarking LLMs in Web Traversal
ACL 2025
SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation
ACL 2025
PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation
ACL 2025
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation
ACL 2025
Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models
ACL 2025
SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling
ACL 2025
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering
EMNLP 2025
Plan Dynamically, Express Rhetorically: A Debate-Driven Rhetorical Framework for Argumentative Writing
EMNLP 2025
SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding
COLING 2025
LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization
COLING 2025
AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment
COLING 2025
Cross-Domain Fake News Detection based on Dual-Granularity Adversarial Training
COLING 2025
Taming Teacher Forcing for Masked Autoregressive Video Generation
CVPR 2025
AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation
EMNLP 2025
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
ACL 2024
Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer
EMNLP 2024
Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods
COLING 2024
Reduce Redundancy Then Rerank: Enhancing Code Summarization with a Novel Pipeline Framework
COLING 2024
TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition
COLING 2024
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment
AAAI 2024
CHECKWHY: Causal Fact Verification via Argument Structure
ACL 2024
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference
ACL 2024
Disentangling Text Representation With Counter-Template For Unsupervised Opinion Summarization
ACL 2023
Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning
AAAI 2023
Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning
ACL 2023
G3R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation
ACL 2023
Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition
ACL 2023
Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding
ACL 2023
Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors
ICCV 2023
Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network
EMNLP 2023
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification
EMNLP 2023
Code Generation From Flowcharts with Texts: A Benchmark Dataset and An Approach
EMNLP 2022
A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge
ACL 2022
Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding
COLING 2022
Complicate Then Simplify: A Novel Way to Explore Pre-trained Models for Text Classification
COLING 2022
SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition
COLING 2022
Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge
ACL 2022
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
ACL 2021
A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness
AAAI 2021
MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces
AAAI 2021
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification
ACL 2021
Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs
EMNLP 2021
Implicit Sentiment Analysis with Event-centered Text Representation
EMNLP 2021
A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation
EMNLP 2021
A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering
EMNLP 2021
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
IJCNLP 2021
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification
IJCNLP 2021
Neural Topic Modeling by Incorporating Document Relationship Graph
EMNLP 2020
Emotion Classification by Jointly Learning to Lexiconize and Classify
COLING 2020
Neural Topic Modeling with Bidirectional Adversarial Training
ACL 2020
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter
ACL 2020
Neural Topic Modeling with Cycle-Consistent Adversarial Training
EMNLP 2020
GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos
IJCAI 2019
Interpretable Relevant Emotion Ranking with Event-Driven Attention
EMNLP 2019
Variational Conditional GAN for Fine-grained Controllable Image Generation
ACML 2019
Open Event Extraction from Online Text using a Generative Adversarial Network
EMNLP 2019
Interpretable Relevant Emotion Ranking with Event-Driven Attention
IJCNLP 2019
Open Event Extraction from Online Text using a Generative Adversarial Network
IJCNLP 2019
Neural Storyline Extraction Model for Storyline Generation from News Articles
NAACL 2018
Relevant Emotion Ranking from Text Constrained with Emotion Relationships
NAACL 2018
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking
EMNLP 2018
Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings
EACL 2017
Unsupervised Storyline Extraction from News Articles
IJCAI 2016
Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling
ACL 2016
Emotion Distribution Learning from Texts
EMNLP 2016
Sparsity Conditional Energy Label Distribution Learning for Age Estimation
IJCAI 2016
An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles
EMNLP 2015
A Simple Bayesian Modelling Approach to Event Extraction from Twitter
ACL 2014
A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus
COLING 2008