Xiner Li
11 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🤝 Dynamic Duo (11)
👥
Mega-Team
(71)
👑
Triple Crown
⚡
Prolific Year
(5)
💎
Century Club
(11)
Conferences
ICML (5)
ICLR (3)
NIPS (3)
Top co-authors
Keywords
graph neural network
(2)
causal discovery
(1)
adversarial training
(1)
out-of-distribution generalization
(1)
covariate shift
(1)
language model
(1)
crystal structure generation
(1)
invariant learning
(1)
concept shift
(1)
out-of-distribution learning
(1)
periodic invariance
(1)
label environment causal independence
(1)
sequence tokenization
(1)
domain generalization
(1)
se(3) invariance
(1)
Papers
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
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
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning
ICML 2025
Geometry Informed Tokenization of Molecules for Language Model Generation
ICML 2025
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
NIPS 2024
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
ICLR 2024
Graph Structure Extrapolation for Out-of-Distribution Generalization
ICML 2024
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
NIPS 2023
GOOD: A Graph Out-of-Distribution Benchmark
NIPS 2022