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ORCIDYifei Shen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Yifei Shen 0001
![[0000-0003-2720-724X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2720-724X")
— University of Texas MD Anderson Cancer Center, TX, USA - Yifei Shen 0002 — Yale University, CT, USA
- Yifei Shen 0003 — École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Yifei Shen 0004 — Hong Kong University of Science and Technology, Hong Kong, SAR, China
- Yifei Shen 0005 — Shanghai University of Engineering Science, Shanghai, China
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2020 – today
- 2025
[j4]Fangyu Mo, Qinghong Qian, Xiaolin Lu, Dihuai Zheng, Wenjie Cai, Jie Yao, Hongyu Chen, Yujie Huang, Xiang Zhang, Sanling Wu, Yifei Shen, Yinqi Bai, Yongcheng Wang, Weiqin Jiang, Longjiang Fan:
mKmer: an unbiased K-mer embedding of microbiomic single-microbe RNA sequencing data. Briefings Bioinform. 26(3) (2025)- [j3]Dongsheng Han, Chang Liu, Bin Yang, Fei Yu, Huifang Liu, Bin Lou, Yifei Shen, Hui Tang, Hua Zhou, Shufa Zheng, Yu Chen:
Metagenomic fingerprints in bronchoalveolar lavage differentiate pulmonary diseases. npj Digit. Medicine 8(1) (2025) - [c9]Chengye Wang, Yifei Shen, Zexi Kuang, Arman Cohan, Yilun Zhao:
SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification. ACL (1) 2025: 8562-8579 - [c8]Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng:
When Do LLMs Help With Node Classification? A Comprehensive Analysis. ICML 2025 - [i10]Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng:
A Comprehensive Analysis on LLM-based Node Classification Algorithms. CoRR abs/2502.00829 (2025) - [i9]Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Yiren Zhao, Guy-Bart Stan, Caihua Shan:
Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning. CoRR abs/2502.03499 (2025) - [i8]Yuhao Xue, Zhifei Zhang, Xinyang Jiang, Yifei Shen, Junyao Gao, Wentao Gu, Jiale Zhao, Miaojing Shi, Cairong Zhao:
TRAIL: Transferable Robust Adversarial Images via Latent diffusion. CoRR abs/2505.16166 (2025) - [i7]Chengye Wang, Yifei Shen, Zexi Kuang, Arman Cohan, Yilun Zhao:
SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification. CoRR abs/2506.15569 (2025) - [i6]Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen:
Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective. CoRR abs/2509.22613 (2025) - 2024
- [c7]Yifei Shen, Jiaxing Shen:
STZIP-GNN: A Robust Model for Taxi Demand Prediction in Sparse Urban Environments. ICPADS 2024: 210-217 - [c6]Yifei Shen, Zhifei Yang, Weijia Lu, Wenfeng Shen, Zhou Lei:
A Comfortable and Robust DRL-based Car-following Policy Incorporating Lateral Information under Cut-in Scenarios. IV 2024: 1967-1973 - [c5]Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen:
ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models. NeurIPS 2024 - [c4]Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li:
Can Graph Learning Improve Planning in LLM-based Agents? NeurIPS 2024 - [i5]Weiquan Huang, Yifei Shen, Yifan Yang:
CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation. CoRR abs/2404.19394 (2024) - [i4]Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen:
ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models. CoRR abs/2405.09220 (2024) - [i3]Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li:
Can Graph Learning Improve Task Planning? CoRR abs/2405.19119 (2024) - 2023
- [c3]Yifei Shen, Zhuo Li, Yu Yang, Jiaxing Shen:
Domain Adaptive Pre-trained Model for Mushroom Image Classification. ADMA (4) 2023: 284-296 - [c2]Zhuo Li, Yifei Shen, Ruiqing Xu, Yu Yang, Jiannong Cao, Linchun Wu, Qing Wu:
Weakly-Supervised Multi-action Offline Reinforcement Learning for Intelligent Dosing of Epilepsy in Children. DASFAA (4) 2023: 208-223 - [i2]Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han:
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models. CoRR abs/2306.00714 (2023) - 2022
- [i1]Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu:
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets. CoRR abs/2203.04810 (2022) - 2021
- [j2]Yifei Shen, Qinjie Chu, Xinxin Yin, Yinjun He, Panpan Bai, Yunfei Wang, Weijia Fang, Michael P. Timko, Longjiang Fan, Weiqin Jiang:
TOD-CUP: a gene expression rank-based majority vote algorithm for tissue origin diagnosis of cancers of unknown primary. Briefings Bioinform. 22(2): 2106-2118 (2021) - 2020
- [j1]Ronghua Shang, Pei Peng, Fanhua Shang, Licheng Jiao, Yifei Shen, Rustam Stolkin:
Semantic Segmentation for SAR Image Based on Texture Complexity Analysis and Key Superpixels. Remote. Sens. 12(13): 2141 (2020)
2000 – 2009
- 2006
- [c1]Kunpeng Zhang, Yun Xu, Yifei Shen, Guoliang Chen:
Using a Neural Networking Method to Predict the Protein Phosphorylation Sites with Specific Kinase. ISNN (2) 2006: 682-689
Coauthor Index
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