most citedSkyNet: A Champion Model for DAC-SDC on Low Power Object Detection

20 citations · 20 across the 2 of their papers we have counts for

collaborators

7 papers

eess.IV2024

Breaking the Barriers of One-to-One Usage of Implicit Neural Representation in Image Compression: A Linear Combination Approach with Performance Guarantees

Sai Sanjeet, Seyyedali Hosseinalipour, Jinjun Xiong +2

In an era where the exponential growth of image data driven by the Internet of Things (IoT) is outpacing traditional storage solutions, this work explores and advances the potentia…

cs.CL2024

Towards Precision Characterization of Communication Disorders using Models of Perceived Pragmatic Similarity

Nigel G. Ward, Andres Segura, Georgina Bugarini +4

The diagnosis and treatment of individuals with communication disorders offers many opportunities for the application of speech technology, but research so far has not adequately c…

cs.LG2024

xMLP: Revolutionizing Private Inference with Exclusive Square Activation

Jiajie Li, Jinjun Xiong

Private Inference (PI) enables deep neural networks (DNNs) to work on private data without leaking sensitive information by exploiting cryptographic primitives such as multi-party…

cs.LG2024

FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models

Ruiyang Qin, Yuting Hu, Zheyu Yan +3

Neural Architecture Search (NAS) has become the de fecto tools in the industry in automating the design of deep neural networks for various applications, especially those driven by…

cs.CY202411 cited

"The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education

Kyrie Zhixuan Zhou, Zachary Kilhoffer, Madelyn Rose Sanfilippo +5

Large Language Models (LLMs) are advancing quickly and impacting people's lives for better or worse. In higher education, concerns have emerged such as students' misuse of LLMs and…

cs.DC2021

HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation

Xinheng Liu, Yao Chen, Prakhar Ganesh +3

Quantization for Convolutional Neural Network (CNN) has shown significant progress with the intention of reducing the cost of computation and storage with low-bitwidth data inputs.…