Yifei Shen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective.
CoRR, September, 2025

TRAIL: Transferable Robust Adversarial Images via Latent diffusion.
CoRR, May, 2025

mKmer: an unbiased <i>K</i>-mer embedding of microbiomic single-microbe RNA sequencing data.
Briefings Bioinform., May, 2025

Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning.
CoRR, February, 2025

A Comprehensive Analysis on LLM-based Node Classification Algorithms.
CoRR, February, 2025

Metagenomic fingerprints in bronchoalveolar lavage differentiate pulmonary diseases.
npj Digit. Medicine, 2025

When Do LLMs Help With Node Classification? A Comprehensive Analysis.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Can Graph Learning Improve Task Planning?
CoRR, 2024

CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation.
CoRR, 2024

Can Graph Learning Improve Planning in LLM-based Agents?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Comfortable and Robust DRL-based Car-following Policy Incorporating Lateral Information under Cut-in Scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

STZIP-GNN: A Robust Model for Taxi Demand Prediction in Sparse Urban Environments.
Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

2023
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models.
CoRR, 2023

Weakly-Supervised Multi-action Offline Reinforcement Learning for Intelligent Dosing of Epilepsy in Children.
Proceedings of the Database Systems for Advanced Applications, 2023

Domain Adaptive Pre-trained Model for Mushroom Image Classification.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets.
CoRR, 2022

2021
TOD-CUP: a gene expression rank-based majority vote algorithm for tissue origin diagnosis of cancers of unknown primary.
Briefings Bioinform., 2021

2020
Semantic Segmentation for SAR Image Based on Texture Complexity Analysis and Key Superpixels.
Remote. Sens., 2020

2006
Using a Neural Networking Method to Predict the Protein Phosphorylation Sites with Specific Kinase.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006


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