Jianing “Jed” Yang

[CV] [LinkedIn] [Google Scholar] [Email]

Hello! This is Jianing “Jed” Yang (杨佳宁). I am a M.S. student in Machine Learning at Carnegie Mellon University. I received my B.S. in Computer Science from Georgia Tech.

I am lucky to be advised by Prof. Louis-Philippe Morency and Prof. Matt Gormley at CMU. My research interest lies in Dataset Bias Analysis, Multimodal NLP, and Machine Learning in general!

Before I delved fully into research, I had been a Software Development Engineer at Amazon Web Services , intern and full-time.

Outside of work, I love to ski/cook/bake/photograph.

News

(Nov. 2020) I’m attending EMNLP 2020 virtually. Happy to chat there!

(July 2020) I’m attending ACL 2020 virtually. Check out our video presentation on QA bias analysis!

Publications

2020

MTGAT: Multimodal Temporal Graph Attention Networks for Unaligned Human Multimodal Language Sequences
Jianing Yang, Yongxin Wang, Ruitao Yi, Yuying Zhu, Azaan Rehman, Amir Zadeh, Soujanya Poria, Louis-Philippe Morency
[paper]

What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets
Jianing Yang, Yuying Zhu, Yongxin Wang, Ruitao Yi, Amir Zadeh, Louis-Philippe Morency
Workshop on Multimodal Language @ ACL 2020
[paper] [video] [bibtex]

@article{yang2020gives,
  title={What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets},
  author={Yang, Jianing and Zhu, Yuying and Wang, Yongxin and Yi, Ruitao and Zadeh, Amir and Morency, Louis-Philippe},
  journal={arXiv preprint arXiv:2007.03626},
  year={2020}
}

2019

SUOD: Toward Scalable Unsupervised Outlier Detection
Yue Zhao, Xueying Ding, Jianing Yang, Haoping Bai
AICS workshop @ AAAI 2020
[paper] [bibtex]

@inproceedings{zhao2020suod,
  title={{SUOD}: Toward Scalable Unsupervised Outlier Detection},
  author={Zhao, Yue and Ding, Xueying and Yang, Jianing and Haoping Bai},
  booktitle={Workshops at the Thirty-Fourth AAAI Conference on Artificial Intelligence},
  year={2020}
}