影响力指数

77.72/100

前 1.6%

全站排名 #1,025

发表论文17 篇

平均评分5.6

年均产出5.7 篇/年

Xiner Li

PhD student@Texas A&M University - College Station·美国·OpenReview

研究方向

OOD generalization · invariant learning · Graph neural networks · Language models · AI for Science · Diffusion models

5.5

A Joint Diffusion Model with Pre-Trained Priors for RNA Sequence-Structure Co-Design

ICLR 2026Poster

一作

5.3

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning

ICLR 2026Poster

三作

5.0

Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design

ICLR 2026Poster

二作

4.0

Dynamic Search for Inference-Time Alignment in Diffusion Models

ICLR 2026Rejected

一作

7.8

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding

NeurIPS 2025Poster

一作

7.0

Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design

ICML 2025Poster

6.6

Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models

ICLR 2025Poster

二作

5.5

Discovering Physics Laws of Dynamical Systems via Invariant Function Learning

ICML 2025Poster

二作

5.0

Discovering Physics Laws of Dynamical Systems via Invariant Function Learning

ICLR 2025Rejected

二作

4.8

A Hierarchical Language Model Design For Interpretable Graph Reasoning

ICLR 2025Rejected

二作

3.8

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding

合作者 (20)

Xiner Li

A Joint Diffusion Model with Pre-Trained Priors for RNA Sequence-Structure Co-Design

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning

Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design

Dynamic Search for Inference-Time Alignment in Diffusion Models

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding

Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design

Eliminating Position Bias of Language Models: A Mechanistic Approach

Geometry Informed Tokenization of Molecules for Language Model Generation

Geometry Informed Tokenization of Molecules for Language Model Generation

Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models

Discovering Physics Laws of Dynamical Systems via Invariant Function Learning

Discovering Physics Laws of Dynamical Systems via Invariant Function Learning

A Hierarchical Language Model Design For Interpretable Graph Reasoning

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding