Deyu Zhou

72 papers · 2008–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13) 🌈 Renaissance Researcher (11) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) 🏃 Academic Marathon (17) 🏠 Conference Loyalist (22) 🤝 Dynamic Duo (35) 🏆 Keyword Champion (2) 🔬 Deep Specialist (14) 🧬 Topic Evolution ⚡ Prolific Year (6) 🗃️ Keyword Collector (289) 🔥 Unstoppable (12) 💎 Century Club (71)

Conferences

ACL (22) EMNLP (19) COLING (12) AAAI (5) IJCNLP (4) IJCAI (3) EACL (2) NAACL (2) ACML (1) CVPR (1) ICCV (1)

Top co-authors

Yulan He (35) Linhai Zhang (25) Jialong Wu (10) Jiasheng Si (7) Zhenglin Wang (7) Yilong Lai (6) Yanyue Zhang (5) Congzhi Zhang (5) Yingjie Zhu (5) Rui Wang (5)

Keywords

contrastive learning (7) fact verification (7) large language model (6) 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

Taming Teacher Forcing for Masked Autoregressive Video Generation CVPR 2025

Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment AAAI 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

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

AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation EMNLP 2025

Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens 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

CHECKWHY: Causal Fact Verification via Argument Structure ACL 2024

Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods COLING 2024

DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference ACL 2024

STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models ACL 2024

TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition COLING 2024

Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer EMNLP 2024

Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment AAAI 2024

Reduce Redundancy Then Rerank: Enhancing Code Summarization with a Novel Pipeline Framework COLING 2024

Disentangling Text Representation With Counter-Template For Unsupervised Opinion Summarization ACL 2023

Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network EMNLP 2023

Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors ICCV 2023

Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning AAAI 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

Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning ACL 2023

EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification EMNLP 2023

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

Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge ACL 2022

Code Generation From Flowcharts with Texts: A Benchmark Dataset and An Approach EMNLP 2022

SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition COLING 2022

A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via 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

Emotion Classification by Jointly Learning to Lexiconize and Classify COLING 2020

Neural Topic Modeling by Incorporating Document Relationship Graph EMNLP 2020

Neural Topic Modeling with Cycle-Consistent Adversarial Training EMNLP 2020

Neural Temporal Opinion Modelling for Opinion Prediction on Twitter ACL 2020

Neural Topic Modeling with Bidirectional Adversarial Training ACL 2020

Variational Conditional GAN for Fine-grained Controllable Image Generation ACML 2019

Open Event Extraction from Online Text using a Generative Adversarial Network EMNLP 2019

GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos IJCAI 2019

Open Event Extraction from Online Text using a Generative Adversarial Network IJCNLP 2019

Interpretable Relevant Emotion Ranking with Event-Driven Attention IJCNLP 2019

Interpretable Relevant Emotion Ranking with Event-Driven Attention EMNLP 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

Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling ACL 2016

Unsupervised Storyline Extraction from News Articles IJCAI 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