Search Results for author: Shang Wang

Found 8 papers, 4 papers with code

FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning

no code implementations11 Apr 2024 Shang Wang, Deepak Ranganatha Sastry Mamillapalli, Tianpei Yang, Matthew E. Taylor

This paper introduces the problem of learning to place logic blocks in Field-Programmable Gate Arrays (FPGAs) and a learning-based method.

reinforcement-learning Reinforcement Learning (RL)

S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context

1 code implementation21 Mar 2024 Yongqiang Wang, Haisheng Fu, Qi Cao, Shang Wang, Zhenjiao Chen, Feng Liang

In this paper, we propose an Adaptive Channel-wise and Global-inter attention Context (ACGC) entropy model, which can efficiently achieve dual feature aggregation in both inter-slice and intraslice contexts.

Image Compression MS-SSIM +1

CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences

no code implementations31 May 2022 Shang Wang, Yansong Gao, Anmin Fu, Zhi Zhang, Yuqing Zhang, Willy Susilo, Dongxi Liu

Compared with a representative SSBA as a baseline ($SSBA_{Base}$), $CASSOCK$-based attacks have significantly advanced the attack performance, i. e., higher ASR and lower FPR with comparable CDA (clean data accuracy).

A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method

no code implementations10 Dec 2021 Sen Zhao, Yong Zhang, Shang Wang, Beitong Zhou, Cheng Cheng

Data-driven methods for remaining useful life (RUL) prediction normally learn features from a fixed window size of a priori of degradation, which may lead to less accurate prediction results on different datasets because of the variance of local features.

SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search

no code implementations1 Jul 2021 Xinlin Xia, Shang Wang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang

Graph convolution networks (GCN), which recently becomes new state-of-the-art method for graph node classification, recommendation and other applications, has not been successfully applied to industrial-scale search engine yet.

Node Classification Retrieval

Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models

2 code implementations3 Feb 2021 Shang Wang, Peiming Yang, Yuxuan Zheng, Xin Li, Gennady Pekhimenko

Driven by the tremendous effort in researching novel deep learning (DL) algorithms, the training cost of developing new models increases staggeringly in recent years.

BPPSA: Scaling Back-propagation by Parallel Scan Algorithm

1 code implementation23 Jul 2019 Shang Wang, Yifan Bai, Gennady Pekhimenko

In an era when the performance of a single compute device plateaus, software must be designed to scale on massively parallel systems for better runtime performance.

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