Quality-of-Service for a High-Radix Switch. - Nilmini Abeyratne; Supreet Jeloka; Yiping Kang; David T. Blaauw; Ronald G. Dreslinski; Reetuparna Das; Trevor N. Mudge (DAC, 2014)

DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers. - Johann Hauswald; Yiping Kang; Michael A. Laurenzano; Quan Chen 002; Cheng Li; Trevor N. Mudge; Ronald G. Dreslinski; Jason Mars; Lingjia Tang (ISCA, 2015)

Designing Future Warehouse-Scale Computers for Sirius, an End-to-End Voice and Vision Personal Assistant. - Johann Hauswald; Michael A. Laurenzano; Yunqi Zhang; Hailong Yang; Yiping Kang; Cheng Li; Austin Rovinski; Arjun Khurana; Ronald G. Dreslinski; Trevor N. Mudge; Vinicius Petrucci; Lingjia Tang; et al. (ACM Trans. Comput. Syst., 2016)

Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge. - Yiping Kang; Johann Hauswald; Cao Gao; Austin Rovinski; Trevor N. Mudge; Jason Mars; Lingjia Tang (ASPLOS, 2017)

Data Collection for Dialogue System: A Startup Perspective. - Yiping Kang; Yunqi Zhang; Jonathan K. Kummerfeld; Lingjia Tang; Jason Mars (NAACL-HLT (3), 2018)

From Compute to Data: Across-the-Stack System Design for Intelligent Applications. - Yiping Kang (2018)

Multilingual Spoken Words Corpus. - Mark Mazumder; Sharad Chitlangia; Colby R. Banbury; Yiping Kang; Juan Ciro; Keith Achorn; Daniel Galvez; Mark Sabini; Peter Mattson; David Kanter; Greg Diamos; Pete Warden; et al. (NeurIPS Datasets and Benchmarks, 2021)

One Agent To Rule Them All: Towards Multi-agent Conversational AI. - Christopher Clarke; Joseph Peper; Karthik Krishnamurthy; Walter Talamonti; Kevin Leach; Walter S. Lasecki; Yiping Kang; Lingjia Tang; Jason Mars (ACL (Findings), 2022)

Towards Personalized Intelligence at Scale. - Yiping Kang; Ashish Mahendra; Christopher Clarke; Lingjia Tang; Jason Mars (CoRR, 2022)

Label Agnostic Pre-training for Zero-shot Text Classification. - Christopher Clarke; Yuzhao Heng; Yiping Kang; Krisztián Flautner; Lingjia Tang; Jason Mars (ACL (Findings), 2023)

The Jaseci Programming Paradigm and Runtime Stack: Building Scale-Out Production Applications Easy and Fast. - Jason Mars; Yiping Kang; Roland Daynauth; Baichuan Li; Ashish Mahendra; Krisztián Flautner; Lingjia Tang (IEEE Comput. Archit. Lett., 2023)

Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's GPT-4 with Self-Hosted Open Source SLMs in Production. - Chandra Irugalbandara; Ashish Mahendra; Roland Daynauth; Tharuka Kasthuri Arachchige; Krisztián Flautner; Lingjia Tang; Yiping Kang; Jason Mars (CoRR, 2023)

Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production. - Chandra Irugalbandara; Ashish Mahendra; Roland Daynauth; Tharuka Kasthuri Arachchige; Jayanaka L. Dantanarayana; Krisztián Flautner; Lingjia Tang; Yiping Kang; Jason Mars (ISPASS, 2024)

One Agent Too Many: User Perspectives on Approaches to Multi-agent Conversational AI. - Christopher Clarke; Karthik Krishnamurthy; Walter Talamonti; Yiping Kang; Lingjia Tang; Jason Mars (CoRR, 2024)

LLMs are Meaning-Typed Code Constructs. - Jason Mars; Yiping Kang; Jayanaka L. Dantanarayana; Chandra Irugalbandara; Kugesan Sivasothynathan; Lingjia Tang (CoRR, 2024)

A Graph-Based Approach for Conversational AI-Driven Personal Memory Capture and Retrieval in a Real-world Application. - Savini Kashmira; Jayanaka L. Dantanarayana; Joshua Brodsky; Ashish Mahendra; Yiping Kang; Krisztián Flautner; Lingjia Tang; Jason Mars (CoRR, 2024)