Search Results for author: Dawei Zhang

Found 15 papers, 4 papers with code

More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge

1 code implementation EMNLP 2021 Sixing Wu, Ying Li, Minghui Wang, Dawei Zhang, Yang Zhou, Zhonghai Wu

Despite achieving remarkable performance, previous knowledge-enhanced works usually only use a single-source homogeneous knowledge base of limited knowledge coverage.

Dialogue Generation

Adaptive Pseudo-Siamese Policy Network for Temporal Knowledge Prediction

no code implementations26 Apr 2022 Pengpeng Shao, Tong Liu, Feihu Che, Dawei Zhang, JianHua Tao

Specifically, we design the policy network in our model as a pseudo-siamese policy network that consists of two sub-policy networks.

Knowledge Graphs Link Prediction

MixKG: Mixing for harder negative samples in knowledge graph

no code implementations19 Feb 2022 Feihu Che, Guohua Yang, Pengpeng Shao, Dawei Zhang, JianHua Tao

The representations of entities and relations are learned via contrasting the positive and negative triplets.

Knowledge Graph Embedding Knowledge Graphs

Knowledge graph enhanced recommender system

no code implementations17 Dec 2021 Zepeng Huai, JianHua Tao, Feihu Che, Guohua Yang, Dawei Zhang

This is attributed to the rich attribute information contained in KG to improve item and user representations as side information.

Knowledge Graphs Recommendation Systems

SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification

1 code implementation18 Sep 2021 Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen yang, Ji Liu

Recently, x-vector has been a successful and popular approach for speaker verification, which employs a time delay neural network (TDNN) and statistics pooling to extract speaker characterizing embedding from variable-length utterances.

Neural Architecture Search Speaker Recognition +2

Dynamic Multi-scale Convolution for Dialect Identification

no code implementations2 Aug 2021 Tianlong Kong, Shouyi Yin, Dawei Zhang, Wang Geng, Xin Wang, Dandan song, Jinwen Huang, Huiyu Shi, Xiaorui Wang

To address this issue, we propose a new architecture, named dynamic multi-scale convolution, which consists of dynamic kernel convolution, local multi-scale learning, and global multi-scale pooling.

Dialect Identification

Multi-Level Graph Contrastive Learning

no code implementations6 Jul 2021 Pengpeng Shao, Tong Liu, Dawei Zhang, JianHua Tao, Feihu Che, Guohua Yang

In this paper, we propose a Multi-Level Graph Contrastive Learning (MLGCL) framework for learning robust representation of graph data by contrasting space views of graphs.

Contrastive Learning Graph Representation Learning +3

Self-supervised Graph Representation Learning via Bootstrapping

no code implementations10 Nov 2020 Feihu Che, Guohua Yang, Dawei Zhang, JianHua Tao, Pengpeng Shao, Tong Liu

In addition, we summarize three kinds of augmentation methods for graph-structured data and apply them to the DGB.

Graph Representation Learning

Traffic Danger Recognition With Surveillance Cameras Without Training Data

no code implementations29 Nov 2018 Lijun Yu, Dawei Zhang, Xiangqun Chen, Alexander Hauptmann

Therefore, we developed a model to predict and identify car crashes from surveillance cameras based on a 3D reconstruction of the road plane and prediction of trajectories.

3D Reconstruction

MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage between Teams in MOBA Games

no code implementations22 Jul 2018 Lijun Yu, Dawei Zhang, Xiangqun Chen, Xing Xie

In this paper, we introduce MOBA-Slice, a time slice based evaluation framework of relative advantage between teams in MOBA games.

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