Yanghui Rao
25 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (50)
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(120)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(18)
Natural Language Processing
(15)
Applications
(11)
Core Methods
(11)
Learning Types Β· Machine Learning
(11)
Deep Learning
(10)
Artificial Intelligence
(9)
Core AI
(8)
Bayesian & Probabilistic
(6)
Knowledge & Reasoning
(5)
Architectures
(5)
Models
(4)
Reasoning
(4)
Application Areas
(3)
Learning Types Β· Deep Learning
(3)
Keywords
topic modeling
(6)
graph neural network
(4)
hierarchical topic modeling
(3)
large language model
(3)
topic hierarchy
(3)
variational inference
(3)
unsupervised learning
(3)
neural topic model
(2)
causal inference
(2)
word embedding
(2)
self-attention mechanism
(2)
variational autoencoder
(2)
multi-hop question answering
(2)
hierarchical topic model
(2)
question generation
(2)
sentiment analysis
(2)
commonsense reasoning
(2)
topic coherence
(2)
contrastive learning
(2)
neural network
(2)
Papers
HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions
ACL 2026
MemBuilder: Reinforcing LLMs for Long-Term Memory Construction via Attributed Dense Rewards
ACL 2026
Answering Complex Geographic Questions by Adaptive Reasoning with Visual Context and External Commonsense Knowledge
ACL 2025
CARE: A Disagreement Detection Framework with Concept Alignment and Reasoning Enhancement
EMNLP 2025
CoE: A Clue of Emotion Framework for Emotion Recognition in Conversations
ACL 2025
Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning
COLING 2025
Generating Commonsense Reasoning Questions with Controllable Complexity through Multi-step Structural Composition
COLING 2025
Improved Expressivity of Hypergraph Neural Networks through High-Dimensional Generalized Weisfeiler-Leman Algorithms
ICML 2025
Neural Topic Modeling via Contextual and Graph Information Fusion
EMNLP 2025
Domain Adaptation for Subjective Induction Questions Answering on Products by Adversarial Disentangled Learning
ACL 2024
Hierarchical Topic Modeling via Contrastive Learning and Hyperbolic Embedding
COLING 2024
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference
EMNLP 2024
Unsupervised Hierarchical Topic Modeling via Anchor Word Clustering and Path Guidance
EMNLP 2024
Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning
ACL 2023
Exploring Robust Overfitting for Pre-trained Language Models
ACL 2023
Graph-based Relation Mining for Context-free Out-of-vocabulary Word Embedding Learning
ACL 2023
Nonlinear Structural Equation Model Guided Gaussian Mixture Hierarchical Topic Modeling
ACL 2023
Graph-based Dynamic Word Embeddings
IJCAI 2022
Nonparametric Forest-Structured Neural Topic Modeling
COLING 2022
Lifelong Learning of Topics and Domain-Specific Word Embeddings
ACL 2021
Target-specified Sequence Labeling with Multi-head Self-attention for Target-oriented Opinion Words Extraction
NAACL 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference
ACL 2021
Neural Mixed Counting Models for Dispersed Topic Discovery
ACL 2020
Siamese Network-Based Supervised Topic Modeling
EMNLP 2018
A Network Framework for Noisy Label Aggregation in Social Media
ACL 2017