activity
20202022
most citedLifelong Learning with Sketched Structural Regularization

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2022

An Analytical Range-Angle Dependent Beam Focusing Model for Terahertz Linear Antenna Array

Lingxiang Li, Haoran Li, Zhi Chen +2

This paper considers a scenario in which the Terahertz (THz) transmitter equipped with a linear antenna array wishes to focus its beam to a desired spatial region in the array near…

cs.DC20221 cited

Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning

Guyue Huang, Haoran Li, Minghai Qin +3

Weight pruning in deep neural networks (DNNs) can reduce storage and computation cost, but struggles to bring practical speedup to the model inference time. Tensor-cores can signif…

cs.CV20211 cited

ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search

Jiaqi Li, Haoran Li, Yaran Chen +5

Currently, an increasing number of model pruning methods are proposed to resolve the contradictions between the computer powers required by the deep learning models and the resourc…

cs.LG20214 cited

Lifelong Learning with Sketched Structural Regularization

Haoran Li, Aditya Krishnan, Jingfeng Wu +3

Preventing catastrophic forgetting while continually learning new tasks is an essential problem in lifelong learning. Structural regularization (SR) refers to a family of algorithm…

eess.IV2020

Multi-modal Datasets for Super-resolution

Haoran Li, Weihong Quan, Meijun Yan +3

Nowdays, most datasets used to train and evaluate super-resolution models are single-modal simulation datasets. However, due to the variety of image degradation types in the real w…