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 facilitate communication and collaboration among diverse stakeholders in the design, development, and oversight of public-facing emerging technologies. Feel free to reach out through Email or Twitter!
[Engaging diverse community members in designing, developing, and overseeing of public-facing AI]
Wesley Hanwen Deng, Jieyu Zhou, Shixian Xie, Maya Shen, Nik Martelaro, Motahhare Eslami, Ken Holstein. [Ongoing work]
[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]
