Yiren Jian

I'm a 5th year PhD student in Computer Science working under the supervision of Soroush Vosoughi at Dartmouth College on Machine Learning and Natural Language Processing. During my PhD study, I have been research scientist interns at NEC Labs America and Snap Research.

In my first 3 years at Dartmouth, I worked with Lorenzo Torresani on Computer Vision. Prior to attending Dartmouth, I was doing a Physics PhD specialized in Biophysics and Bioinformatics with Chen Zeng and Yunjie Zhao at The George Washington University, where I quit my PhD and earned a MS degree.

Twitter  /  CV  /  Google Scholar  /  Linkedin  /  GitHub

profile photo
Publications

My current research is focused on Multi-Modal Learning and Few-Shot Learning, i.e., learning visual and language models from limited labeled data.

Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
Yiren Jian, Chongyang Gao, Soroush Vosoughi
NeurIPS, 2022
code / poster / slides / bibtex

T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling
Yiren Jian, Erik Kruus, Martin Renqiang Min
KDD, 2022 (Oral Presentation)
code / poster / slides / bibtex

Embedding Hallucination for Few-shot Language Learning
Yiren Jian, Chongyang Gao, Soroush Vosoughi
NAACL, 2022
code / poster / video / bibtex

Contrastive Learning for Prompt-based Few-shot Language Learners
Yiren Jian, Chongyang Gao, Soroush Vosoughi
NAACL, 2022
code / poster / video / bibtex

Label Hallucination for Few-shot Classification
Yiren Jian, Lorenzo Torresani
AAAI, 2022
code / poster / video / appendix / bibtex

MetaPix: Domain Transfer for Semantic Segmentation by Meta Pixel Weighting
Yiren Jian, Chongyang Gao
Image and Vision Computing, 2021
code / bibtex

Task Meta-Transfer from Limited Parallel Labels
Yiren Jian, Karim Ahmed, Lorenzo Torresani
NeurIPS (Meta-Learning Workshop), 2020
code / poster / video / bibtex

DIRECT: RNA Contact Predictions by Interating Structural Patterns
Yiren Jian, Xiaonan Wang, Jiadi Qiu, Huiwen Wang, Zhichao Liu, Yunjie Zhao, Chen Zeng
BMC Bioinformatics, 2019
bibtex

Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics
Zhichao Liu, Erika P. Portero, Yiren Jian, Yunjie Zhao, Rosemary M. Onjiko, Chen Zeng, Peter Nemes
Analytical Chemistry, 2019
software / bibtex

Design of Tat-Activated Cdk9 Inhibitor
Yunjie Zhao, Chen Hao, Chenghang Du, Yiren Jian HaoTian Li, Yi Xiao, Mohammed Saifuddin, Fatah Kashanchi, Chen Zeng
International Journal of Peptide Research and Therapeutics, 2018
bibtex

RBind: Computational Network Method to Predict RNA Binding Sites
Kaili Wang*, Yiren Jian*, Huiwen Wang, Chen Zeng, Yunjie Zhao
Bioinformatics, 2018
webserver / bibtex

Computational Study of Non-catalytic T-loop Pocket on CDK Proteins for Drug Development
Huiwen Wang, Kaili Wang, Zeyu Guan, Yiren Jian, Ya Jia, Fatah Kashanchi, Chen Zeng, Yunjie Zhao
Chinese Physics B, 2017
bibtex

Network Analysis Reveals the Recognition Mechanism for Dimer Formation of Bulb-type Lectins
Yunjie Zhao*, Yiren Jian*, Zhichao Liu, Hang Liu, Qin Liu, Chanyou Chen, Zhangyong Li, Lu Wang, H. Howie Huang, Chen Zeng
Scientific Reports, 2017
bibtex

Teaching
Graduate Teaching Assistant, Deep Learning, CS78/278, Winter 2021
Graduate Teaching Assistant, Deep Learning, CS78/178, Winter 2019
Graduate Teaching Assistant, Machine Learning, CS74/274, 2022
Graduate Teaching Assistant, Machine Learning, CS74/274, 2021
Graduate Teaching Assistant, Machine Learning, CS74/174, 2018
Education

Dartmouth College
Sep 2018 - Dec 2023 (expected)

PhD in Computer Science

The George Washington University
Sep 2015 - May 2017

MS in Physics

Huazhong University of Science and Technology
Sep 2011 - June 2015

BS in Physics


website template