From the 1 of 11 linked papers with an AI index.
11 papers
Gene Ontology-Guided Hierarchical Spatial Gene Expression Prediction from Histopathology Images
Zhiwen Xu, Xiaoming Yan, Chengkun Wu +3
Predicting spatial gene expression from histopathology images enables large-scale transcriptomic profiling without the cost of direct measurement. Existing methods decode the targe…
LimICE: Integrating LLM into ICE Framework for Efficient Loop Invariant Inference
Kai Fan, ShiWen Yu, GuangSheng Fan +3
The paper introduces LimICE, a tool that combines large language models with the ICE framework to incrementally generate sequences of lemmas as loop invariants, improving both succ…
SpaCellAgent: A Self-Evolving LLM-Based Multi-Agent Framework for Trajectory Analysis
Songhan Wang, Haoang Chi, He Li +6
Spatial and Single-cell transcriptomics are transformative in deciphering cellular dynamics. As the fundamental paradigm for reconstructing cell developmental paths, trajectory inf…
Denoised Conformal Alignment for Reliable Selection of Conditional Average Treatment Effect Predictions
Xinyun Lu, Haoang Chi, Zhiheng Zhang
In selective deployment, practitioners act only on a model-chosen subset of individuals based on predicted conditional average treatment effects, but marginal conformal guarantees…
MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs
He Li, Haoang Chi, Qizhou Wang +6
Multimodal large language models (MLLMs) are trained on massive multimodal data, making data unlearning increasingly important as data owners may request the removal of specific co…
Causal Representation Learning with Optimal Compression under Complex Treatments
Wanting Liang, Haoang Chi, Zhiheng Zhang
Estimating Individual Treatment Effects (ITE) in multi-treatment scenarios faces two critical challenges: the Hyperparameter Selection Dilemma for balancing weights and the Curse o…