Xueying Ding
10 papers · 2022–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (8) π§ Keyword Pioneer π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (22) π Renaissance Researcher (6)
π
Interdisciplinary Bridge
β
The Questioner
Conferences
ACL (3)
NIPS (3)
ICLR (2)
JMLR (2)
Top co-authors
Keywords
graph neural network
(2)
outlier detection
(2)
anomaly detection
(2)
ensemble learning
(1)
information retrieval
(1)
language modeling
(1)
graph generation
(1)
deep learning
(1)
markov chain monte carlo
(1)
hyperparameter tuning
(1)
continuous-time diffusion
(1)
generative model
(1)
diffusion model
(1)
autoregressive model
(1)
graph transformer
(1)
node classification
(1)
discrete diffusion
(1)
multi-turn interaction
(1)
text embedding
(1)
response consistency
(1)
Papers
Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling
ACL 2026
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings
ACL 2026
MetaOOD: Automatic Selection of OOD Detection Models
ICLR 2025
Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions
ACL 2025
Unified Discrete Diffusion for Categorical Data
JMLR 2025
PyGOD: A Python Library for Graph Outlier Detection
JMLR 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
NIPS 2024
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
ICLR 2024
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
NIPS 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
NIPS 2022