Search Results for author: Wenzhong Guo

Found 7 papers, 1 papers with code

Wasserstein Adversarial Learning based Temporal Knowledge Graph Embedding

no code implementations4 May 2022 Yuanfei Dai, Wenzhong Guo, Carsten Eickhoff

In order to deal with this issue, several temporal knowledge graph embedding (TKGE) approaches have been proposed to integrate temporal and structural information in recent years.

Knowledge Graph Embedding

Case-Aware Adversarial Training

no code implementations20 Apr 2022 Mingyuan Fan, Yang Liu, Wenzhong Guo, Ximeng Liu, Jianhua Li

Specifically, the intuition stems from the fact that a very limited part of informative samples can contribute to most of model performance.

Enhance transferability of adversarial examples with model architecture

no code implementations28 Feb 2022 Mingyuan Fan, Wenzhong Guo, Shengxing Yu, Zuobin Ying, Ximeng Liu

Transferability of adversarial examples is of critical importance to launch black-box adversarial attacks, where attackers are only allowed to access the output of the target model.

Object Tracking by Least Spatiotemporal Searches

no code implementations18 Jul 2020 Zhiyong Yu, Lei Han, Chao Chen, Wenzhong Guo, Zhiwen Yu

This paper proposes a strategy named IHMs (Intermediate Searching at Heuristic Moments): each step we figure out which moment is the best to search according to a heuristic indicator, then at that moment search locations one by one in descending order of predicted appearing probabilities, until a search hits; iterate this step until we get the object's current location.

Object Tracking

HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions

1 code implementation3 Jul 2020 Yuzhen Niu, Jianbin Wu, Wenxi Liu, Wenzhong Guo, Rynson W. H. Lau

To address these two problems, we propose in this paper a novel GAN-based model, HDR-GAN, for synthesizing HDR images from multi-exposed LDR images.

HDR Reconstruction Image Reconstruction

Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings

no code implementations15 Apr 2020 Yuanfei Dai, Chenhao Guo, Wenzhong Guo, Carsten Eickhoff

Recently, several knowledge graph embedding approaches have received increasing attention in the DDI domain due to their capability of projecting drugs and interactions into a low-dimensional feature space for predicting links and classifying triplets.

Knowledge Graph Embedding Knowledge Graph Embeddings +1

A novel particle swarm optimizer with multi-stage transformation and genetic operation for VLSI routing

no code implementations26 Nov 2018 Genggeng Liu, Zhen Zhuang, Wenzhong Guo, Naixue Xiong, Guolong Chen

Firstly, in order to be able to handle two types of SMT problems at the same time, an effective edge-vertex encoding strategy is proposed.

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