papers

Publications (9)

cs.IT2005

Antenna array geometry and coding performance

Weijun Zhu, Heechoon Lee, Daniel Liu +1

This paper provides details about experiments in realistic, urban, and frequency flat channels with space-time coding that specifically examines the impact of the number of receive…

eess.SP2018

MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications

Baohua Sun, Daniel Liu, Leo Yu +4

We designed a device for Convolution Neural Network applications with non-volatile MRAM memory and computing-in-memory co-designed architecture. It has been successfully fabricated…

q-bio.GN2022

Knowledge distillation for fast and accurate DNA sequence correction

Anastasiya Belyaeva, Joel Shor, Daniel E. Cook +11

Accurate genome sequencing can improve our understanding of biology and the genetic basis of disease. The standard approach for generating DNA sequences from PacBio instruments rel…

cs.CR2020

Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning

Nick Angelou, Ayoub Benaissa, Bogdan Cebere +9

We present a multi-language, cross-platform, open-source library for asymmetric private set intersection (PSI) and PSI-Cardinality (PSI-C). Our protocol combines traditional DDH-ba…

cs.CV2019

Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers

Daniel Liu, Ronald Yu, Hao Su

3D object classification and segmentation using deep neural networks has been extremely successful. As the problem of identifying 3D objects has many safety-critical applications,…

cs.CV2020

Adversarial shape perturbations on 3D point clouds

Daniel Liu, Ronald Yu, Hao Su

The importance of training robust neural network grows as 3D data is increasingly utilized in deep learning for vision tasks in robotics, drone control, and autonomous driving. One…

cs.DB2018

Verifying Text Summaries of Relational Data Sets

Saehan Jo, Immanuel Trummer, Weicheng Yu +4

We present a novel natural language query interface, the AggChecker, aimed at text summaries of relational data sets. The tool focuses on natural language claims that translate int…

cs.SE2026

A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems

Daniel Liu, Krishna Upadhyay, Vinaik Chhetri +2

The rapid emergence of multi-agent AI systems (MAS), including LangChain, CrewAI, and AutoGen, has shaped how large language model (LLM) applications are developed and orchestrated…

eess.SY2017

A computer-based recursion algorithm for automatic charge of power device of electric vehicles carrying electromagnet

Daniel Liu, Lvette Lopez

This paper proposes a computer-based recursion algorithm for automatic charge of power device of electric vehicles carrying electromagnet. The charging system includes charging cab…