Tzu-Sheng Kuo

According to our database, Tzu-Sheng Kuo authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberation.

Tzu-Sheng Kuo, Quan Ze Chen, Amy X. Zhang, Jane Hsieh, Haiyi Zhu, Kenneth Holstein

CoRR, 2024

The Future of Open Human Feedback.

Shachar Don-Yehiya, Ben Burtenshaw, Ramón Fernandez Astudillo, Cailean Osborne, Mimansa Jaiswal, Tzu-Sheng Kuo, Wenting Zhao, Idan Shenfeld, Andi Peng, Mikhail Yurochkin, Atoosa Kasirzadeh, Yangsibo Huang, Tatsunori Hashimoto, Yacine Jernite, Daniel Vila-Suero, Omri Abend, Jennifer Ding, Sara Hooker, Hannah Rose Kirk, Leshem Choshen

CoRR, 2024

AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services.

Ningjing Tang, Jiayin Zhi, Tzu-Sheng Kuo, Calla Kainaroi, Jeremy J. Northup, Kenneth Holstein, Haiyi Zhu, Hoda Heidari, Hong Shen

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia.

Tzu-Sheng Kuo, Aaron Lee Halfaker, Zirui Cheng, Jiwoo Kim, Meng-Hsin Wu, Tongshuang Wu, Kenneth Holstein, Haiyi Zhu

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

DMLR: Data-centric Machine Learning Research - Past, Present and Future.

Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

CoRR, 2023

Measuring Adversarial Datasets.

Yuanchen Bai, Raoyi Huang, Vijay Viswanathan, Tzu-Sheng Kuo, Tongshuang Wu

CoRR, 2023

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs.

Tongshuang Wu, Haiyi Zhu, Maya Albayrak, Alexis Axon, Amanda Bertsch, Wenxing Deng, Ziqi Ding, Bill Guo, Sireesh Gururaja, Tzu-Sheng Kuo, Jenny T. Liang, Ryan Liu, Ihita Mandal, Jeremiah Milbauer, Xiaolin Ni, Namrata Padmanabhan, Subhashini Ramkumar, Alexis Sudjianto, Jordan Taylor, Ying-Jui Tseng, Patricia Vaidos, Zhijin Wu, Wei Wu, Chenyang Yang

CoRR, 2023

DataPerf: Benchmarks for Data-Centric AI Development.

Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services.

Tzu-Sheng Kuo, Hong Shen, Jisoo Geum, Nev Jones, Jason I. Hong, Haiyi Zhu, Kenneth Holstein

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

DataPerf: Benchmarks for Data-Centric AI Development.

Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi

CoRR, 2022

2020

Let It Rip! Using Velcro for Acoustic Labeling.

Tzu-Sheng Kuo, Eric Rawn

Proceedings of the UIST '20 Adjunct: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

2019

TilePoP: Tile-type Pop-up Prop for Virtual Reality.

Shan-Yuan Teng, Cheng-Lung Lin, Chi-Huan Chiang, Tzu-Sheng Kuo, Liwei Chan, Da-Yuan Huang, Bing-Yu Chen

Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 2019

AutoFritz: Autocomplete for Prototyping Virtual Breadboard Circuits.

Jo-Yu Lo, Da-Yuan Huang, Tzu-Sheng Kuo, Chen-Kuo Sun, Jun Gong, Teddy Seyed, Xing-Dong Yang, Bing-Yu Chen

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

PuPoP: Pop-up Prop on Palm for Virtual Reality.

Shan-Yuan Teng, Tzu-Sheng Kuo, Chi Wang, Chi-Huan Chiang, Da-Yuan Huang, Liwei Chan, Bing-Yu Chen

Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology, 2018

Depth from Gaze.

Tzu-Sheng Kuo, Kuang-Tsu Shih, Sheng-Lung Chung, Homer H. Chen

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Deep Aggregation Net for Land Cover Classification.

Tzu-Sheng Kuo, Keng-Sen Tseng, Jia-Wei Yan, Yen-Cheng Liu, Yu-Chiang Frank Wang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018