Yingxue Zhang
24 papers · 2019–2025 · 9 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
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🗺️ Taxonomy Completionist (50) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(15)
🏆
Keyword Champion
🔬
Deep Specialist
(11)
🌈
Renaissance Researcher
(7)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
🚀
Conference Pioneer
💎
Century Club · Bronze
📈
Trend Setter
🗃️
Keyword Collector
(142)
Top co-authors
Research topics
Machine Learning
(16)
Deep Learning
(14)
Architectures
(13)
Core Methods
(10)
Artificial Intelligence
(8)
Application Areas
(7)
Learning Types · Machine Learning
(7)
Data Science & Analytics
(5)
Natural Language Processing
(5)
Core AI
(5)
Applications · Natural Language Processing
(4)
Applications · Data Science & Analytics
(4)
Learning Types · Deep Learning
(3)
Computer Science
(2)
Bayesian & Probabilistic
(2)
Keywords
graph neural network
(9)
node classification
(3)
transformer architecture
(3)
machine translation
(3)
large language model
(3)
semi-supervised learning
(2)
translation suggestion
(2)
contrastive learning
(2)
recommender system
(2)
bayesian inference
(2)
hidden state
(2)
posterior inference
(2)
time series forecasting
(2)
collaborative filtering
(1)
knowledge extraction
(1)
link prediction
(1)
graph learning
(1)
natural language processing
(1)
catastrophic forgetting
(1)
representation learning
(1)
Papers
InnerThoughts: Disentangling Representations and Predictions in Large Language Models
AISTATS 2025
Retrieval-Augmented Machine Translation with Unstructured Knowledge
EMNLP 2025
The Graph’s Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation
IJCAI 2025
An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval
NeurIPS 2024
CKGConv: General Graph Convolution with Continuous Kernels
ICML 2024
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems
ACL 2024
HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
NeurIPS 2024
Multi-resolution Time-Series Transformer for Long-term Forecasting
AISTATS 2024
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
NeurIPS 2024
A Survey on User Behavior Modeling in Recommender Systems
IJCAI 2023
Bidirectional Learning for Offline Model-based Biological Sequence Design
ICML 2023
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network
AAAI 2023
Spectral Augmentations for Graph Contrastive Learning
AISTATS 2023
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems
AAAI 2023
Findings of the WMT 2022 Shared Task on Translation Suggestion
EMNLP 2022
WeTS: A Benchmark for Translation Suggestion
EMNLP 2022
Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition
NAACL 2021
Detection and Defense of Topological Adversarial Attacks on Graphs
AISTATS 2021
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
AAAI 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
ICML 2021
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
ICML 2020
Memory Augmented Graph Neural Networks for Sequential Recommendation
AAAI 2020
Non Parametric Graph Learning for Bayesian Graph Neural Networks
UAI 2020
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification
AAAI 2019