Xiner Li
11 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Bronze π₯ Mega-Team Β· Legion π€ Dynamic Duo (11)
π
Triple Crown
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Keyword Collector
(59)
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Application Areas
(6)
Core AI
(5)
Natural Language Processing
(4)
Generation
(2)
Learning Types
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Deep Learning
(1)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Core Methods
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
language model
(4)
graph neural network
(2)
domain generalization
(1)
causal discovery
(1)
truthfulness
(1)
fairness
(1)
test-time adaptation
(1)
diffusion model
(1)
adversarial training
(1)
bidirectional attention
(1)
out-of-distribution generalization
(1)
iterative refinement
(1)
covariate shift
(1)
protein design
(1)
target shift
(1)
tokenization
(1)
sample selection
(1)
robustness
(1)
causal mechanism
(1)
catastrophic forgetting
(1)
Papers
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning
ICML 2025
Eliminating Position Bias of Language Models: A Mechanistic Approach
ICLR 2025
Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models
ICLR 2025
Geometry Informed Tokenization of Molecules for Language Model Generation
ICML 2025
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
ICML 2025
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
ICLR 2024
Graph Structure Extrapolation for Out-of-Distribution Generalization
ICML 2024
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
NeurIPS 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
NeurIPS 2023
GOOD: A Graph Out-of-Distribution Benchmark
NeurIPS 2022