activity
20202025
most citedMEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge

41 citations · 80 across the 10 of their papers we have counts for

collaborators

14 papers

cs.CV2025

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge

Xuan Shen, Weize Ma, Yufa Zhou +11

Auto-regressive (AR) models, initially successful in language generation, have recently shown promise in visual generation tasks due to their superior sampling efficiency. Unlike i…

cs.AR20246 cited

LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference

Yanyue Xie, Zhengang Li, Dana Diaconu +3

For FPGA-based neural network accelerators, digital signal processing (DSP) blocks have traditionally been the cornerstone for handling multiplications. This paper introduces LUTMU…

cs.ET2024

SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum-Flux-Parametron Superconducting Circuits

Yanyue Xie, Peiyan Dong, Geng Yuan +10

Superconducting circuits, like Adiabatic Quantum-Flux-Parametron (AQFP), offer exceptional energy efficiency but face challenges in physical design due to sophisticated spacing and…

cs.LG2024

Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers

Zhengang Li, Alec Lu, Yanyue Xie +9

Vision transformers (ViTs) have demonstrated their superior accuracy for computer vision tasks compared to convolutional neural networks (CNNs). However, ViT models are often compu…

cs.CV2024

SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model

Zhengang Li, Yan Kang, Yuchen Liu +4

While AI-generated content has garnered significant attention, achieving photo-realistic video synthesis remains a formidable challenge. Despite the promising advances in diffusion…

eess.IV2024

A Video Coding Method Based on Neural Network for CLIC2024

Zhengang Li, Jingchi Zhang, Yonghua Wang +5

This paper presents a video coding scheme that combines traditional optimization methods with deep learning methods based on the Enhanced Compression Model (ECM). In this paper, th…