Xueying Ding
10 papers · 2022–2026 · 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 ↓
π
Conference Polyglot Β· Bronze
π
Interdisciplinary Bridge Β· Silver
πΊοΈ
Taxonomy Completionist
(31)
π
Century Club Β· Bronze
β
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Core Methods
(4)
Architectures
(3)
Core AI
(3)
Models
(3)
Natural Language Processing
(2)
Application Areas
(2)
Learning Types
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Analysis
(1)
Keywords
anomaly detection
(2)
graph neural network
(2)
outlier detection
(2)
benchmark evaluation
(1)
ensemble learning
(1)
information retrieval
(1)
deep learning
(1)
graph generation
(1)
partial differential equation
(1)
markov chain monte carlo
(1)
diffusion model
(1)
distribution shift
(1)
hyperparameter tuning
(1)
continuous-time diffusion
(1)
generative model
(1)
language modeling
(1)
autoregressive model
(1)
physics-informed neural network
(1)
model selection
(1)
transformer architecture
(1)
Papers
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings
ACL 2026
Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling
ACL 2026
Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions
ACL 2025
MetaOOD: Automatic Selection of OOD Detection Models
ICLR 2025
Unified Discrete Diffusion for Categorical Data
JMLR 2025
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
NeurIPS 2024
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
ICLR 2024
PyGOD: A Python Library for Graph Outlier Detection
JMLR 2024
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
NeurIPS 2022
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
NeurIPS 2022