Wesley Portrait.jpeg

Welcome! I am Wesley Deng. I am a Second-year Ph.D. student at the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, School of Computer Science. I am co-advised by Ken Holstein (CoALA Lab) and Motahhare Eslami (4A Lab). I also have the fortune to work closely with Haiyi Zhu.

 

I previously graduated with the Highest Honor from UC Berkeley majoring in Computer Science. I did research with Niloufar Salehi and Kimiko Ryokai through the EECS Research Honor program. I also did Design with Eric Paulos

My current research interests are Human-centered Machine Learning, Algorithmic Accountability & Transparency, and, more broadly, Human-AI Interaction. Currently, I am building frameworks and systems to study how to better support industry practitioners in building more responsible AI systems, espeically those powered by generative models. Feel free to reach out through Email or Twitter!

[Facilitating Cross-functional Industry Team Collaboration around Fair AI Products]
Wesley Hanwen Deng, Monica Chang, Nur Yildirim, Ken Holstein, Michael Madaio. [
Ongoing work]
[Mixed Methods Analysis of an Identity-based Social Computing Infrastructure]
Jordan Taylor, Wesley Hanwen Deng,  Susan Huang, Alice Tran, Robert Firstman, Justin Lu Chen, Haiyi Zhu. [Ongoing work]
Wesley Hanwen Deng,  Bill Guo, Alicia Devos, Hong Shen, Ken Holstein, Motahhare Eslami. Understanding Practices, Challenges, and Opportunities for User-Driven Algorithm Auditing in Industry Practice. [Pre-print]
Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu. Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits. 
FAccT '22 [Full Paper]
Hong Shen, Leijie Wang, Wesley Hanwen Deng, Ciell, Ronald Velgersdijk, Haiyi Zhu. The Model Card Authoring Toolkit: Towards Community-centered, Deliberation-driven AI Design. 
FAccT '22 [Full paper]
Wesley Hanwen Deng, Nikita Mehandru, Samantha Roberston, Niloufar Salehi. Beyond General Purpose Machine Translation: The Need for Context-specific Empirical Research to Design for Appropriate User Trust
CHI '22 TRAIT Workshop [Short Presentation]
Dan Liebling, Katherine Heller, Samantha Roberston, Wesley Hanwen Deng. Opportunities for Human-centered Evaluation of Machine Translation Systems 
NAACL '22 [Full Paper]
Samantha Roberston, Wesley Hanwen Deng, Timnit Gebru, Margaret Mitchell, Dan Liebling,Michal Lahav, Katherine Heller, Mark Diaz, Samy Bengio, Niloufar Salehi.Three Directions for the Design of Human-Centered Machine Translation
EACL '21 HCI + NLP  
[Workshop]
Wesley Hanwen Deng, Manish Nagireddy, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu
Evaluating Fairness in Practice: Exploring How Machine Learning Practitioners Use Fairness Toolkits
NeurIPS '21 Human-Centered AI [Workshop]
Jon Gillick, Wesley Hanwen Deng, Kimiko Ryokai, David Bamman.
Robust Laughter Detection in Noisy Environments
Interspeech '21 [Full Paper]
Hong Shen, Wesley Hanwen Deng, Aditi Chattopadhyay, Zhiwei Steven Wu, Xu Wang, Haiyi Zhu.
Value Cards: An Educational Toolkits for Teaching Social Impacts of Machine Learning through Deliberation
FAccT '21 [Full Paper,CHI '21 [Workshop
Kimiko Ryokai, Julia Park, Wesley Hanwen Deng.
Personal Laughter Archives: Reflection through Visualization and Interaction
UbiComp '20 [Poster][Demo]