← Authors

Yingxue Zhang

24 papers · 2019–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (6) πŸ—ΊοΈ Taxonomy Completionist (52) 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (9) 🀝 Dynamic Duo (15) πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (135) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (24)

Conferences

AAAI (5) AISTATS (4) ICML (4) EMNLP (3) NIPS (3) IJCAI (2) ACL (1) NAACL (1) UAI (1)

Top co-authors

Mark Coates (15) Soumyasundar Pal (7) Liheng Ma (6) Jianye Hao (5) Jie Zhou (4) Fandong Meng (4) Chen Ma (3) Xue Liu (3) Florence Regol (3) Didier Chetelat (2)

Keywords

graph neural network (9) machine translation (3) node classification (3) transformer architecture (3) semi-supervised learning (2) translation suggestion (2) recommender system (2) posterior inference (2) bayesian inference (2) contrastive learning (2) large language model (2) collaborative filtering (1) metric learning (1) boolean satisfiability (1) knowledge extraction (1) graph learning (1) link prediction (1) neural tangent kernel (1) information extraction (1) natural language processing (1)

Papers

The Graph’s Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation IJCAI 2025
Retrieval-Augmented Machine Translation with Unstructured Knowledge EMNLP 2025
InnerThoughts: Disentangling Representations and Predictions in Large Language Models AISTATS 2025
An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval NIPS 2024
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting NIPS 2024
HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation NIPS 2024
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems ACL 2024
Multi-resolution Time-Series Transformer for Long-term Forecasting AISTATS 2024
CKGConv: General Graph Convolution with Continuous Kernels ICML 2024
A Survey on User Behavior Modeling in Recommender Systems IJCAI 2023
Spectral Augmentations for Graph Contrastive Learning AISTATS 2023
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network AAAI 2023
Bidirectional Learning for Offline Model-based Biological Sequence Design ICML 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
Detection and Defense of Topological Adversarial Attacks on Graphs AISTATS 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting ICML 2021
Knowledge-Enhanced Top-K Recommendation in PoincarΓ© Ball AAAI 2021
Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition NAACL 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