Hongke Zhao
18 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (8)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(12)
🌍
Conference Polyglot
(4)
🤝
Dynamic Duo
(12)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
📈
Trend Setter
🗃️
Keyword Collector
(117)
🚀
Conference Pioneer
🔥
Unstoppable
(7)
💎
Century Club
(18)
Conferences
AAAI (11)
IJCAI (5)
ACL (1)
ICML (1)
Top co-authors
Keywords
attention mechanism
(4)
representation learning
(3)
crowdfunding prediction
(3)
multi-task learning
(2)
market prediction
(2)
large language model
(2)
graph neural network
(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
Multi-View Empowered Structural Graph Wordification for Language Models
AAAI 2025
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
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
IJCAI 2023
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
Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach
AAAI 2022
Preference-Adaptive Meta-Learning for Cold-Start Recommendation
IJCAI 2021
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
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model
AAAI 2020
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach
AAAI 2020
Learning the Compositional Visual Coherence for Complementary Recommendations
IJCAI 2020
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
A Radical-Aware Attention-Based Model for Chinese Text 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