Hongke Zhao
18 papers · 2017–2025 · 4 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.
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π§
Keyword Pioneer
π§¬
Topic Evolution
π€
Dynamic Duo
(12)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(121)
π
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(12)
Deep Learning
(12)
Learning Types Β· Machine Learning
(10)
Core Methods
(9)
Core AI
(8)
Architectures
(6)
Data Science & Analytics
(5)
Natural Language Processing
(5)
Learning Types Β· Deep Learning
(5)
Application Areas
(4)
Applications Β· Data Science & Analytics
(4)
Applications Β· Natural Language Processing
(4)
Learning Paradigms
(4)
Bayesian & Probabilistic
(2)
Keywords
attention mechanism
(5)
graph neural network
(3)
crowdfunding prediction
(3)
representation learning
(3)
market prediction
(2)
multi-task learning
(2)
large language model
(2)
risk management
(1)
temporal modeling
(1)
contrastive learning
(1)
prototype learning
(1)
self-supervised learning
(1)
uncertainty quantification
(1)
knowledge transfer
(1)
graph representation
(1)
domain adaptation
(1)
semantic alignment
(1)
semantic representation
(1)
transfer learning
(1)
multimodal learning
(1)
Papers
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
ICML 2025
Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning
AAAI 2025
Multi-View Empowered Structural Graph Wordification for Language Models
AAAI 2025
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
IJCAI 2023
Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach
AAAI 2022
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis
ACL 2022
Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach
AAAI 2022
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty
AAAI 2021
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem
AAAI 2021
Preference-Adaptive Meta-Learning for Cold-Start Recommendation
IJCAI 2021
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach
AAAI 2020
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model
AAAI 2020
Learning the Compositional Visual Coherence for Complementary Recommendations
IJCAI 2020
A Radical-Aware Attention-Based Model for Chinese Text Classification
AAAI 2019
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective
AAAI 2019
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification
AAAI 2019
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach
IJCAI 2018
Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective
IJCAI 2017