影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
63.53/100
前 3.9%
全站排名 #2,481
发表论文16 篇
平均评分
年均产出5.3 篇/年
Yuhang Liu
研究方向
Causal Representation Learning · Causal Discovery · Causal Reinforcement Learning · Causal Inference · Deep Learning · Bayesian Inference
14
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
ICLR 2026Poster
一作16
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
ICLR 2026Poster
一作20
Concept Component Analysis: A Principled Approach for Concept Extraction in LLMs
ICLR 2026Rejected
一作18
Towards Identifiable Latent Additive Noise Models
ICLR 2026Rejected
一作10
Identifying Unperturbed Cellular Programs Enables Accurate Single-Cell Perturbation Prediction
ICLR 2026Rejected
二作27
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
NeurIPS 2025Spotlight
二作18
Analytic DAG Constraints for Differentiable DAG Learning
ICLR 2025Poster
19
Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
NeurIPS 2025Poster
三作26
Coreset Selection via Reducible Loss in Continual Learning
ICLR 2025Poster
二作31
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
ICLR 2025Rejected
一作26
Turning Challenges into Opportunities: How Distribution Shifts Enhance Identifiability in Causal Representation Learning
ICLR 2025Rejected
一作5
Rethinking end-to-end prediction of adsorption energies from a causal perspective
ICLR 2025Withdrawn
三作