Search Results for author: Hongzhi Wang

Found 25 papers, 4 papers with code

Search For Deep Graph Neural Networks

no code implementations21 Sep 2021 Guosheng Feng, Chunnan Wang, Hongzhi Wang

Current GNN-oriented NAS methods focus on the search for different layer aggregate components with shallow and simple architectures, which are limited by the 'over-smooth' problem.


TENSILE: A Tensor granularity dynamic GPU memory scheduling method towards multiple dynamic workloads system

no code implementations27 May 2021 Kaixin Zhang, Hongzhi Wang, Tongxin Li, Han Hu, Songling Zou, Jiye Qiu

In this paper, we demonstrated TENSILE, a method of managing GPU memory in tensor granularity to reduce the GPU memory peak, with taking the multiple dynamic workloads into consideration.

FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search

no code implementations9 Apr 2021 Chunnan Wang, Bozhou Chen, Geng Li, Hongzhi Wang

Recently, some Neural Architecture Search (NAS) techniques are proposed for the automatic design of Graph Convolutional Network (GCN) architectures.

Federated Learning Neural Architecture Search

Approximate Query Processing for Group-By Queries based on Conditional Generative Models

no code implementations8 Jan 2021 Meifan Zhang, Hongzhi Wang

Online sampling chooses samples for the given query at query time, but it requires a long latency.

Data Visualization

Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results

no code implementations15 Oct 2020 Chunnan Wang, Kaixin Zhang, Hongzhi Wang, Bozhou Chen

In recent years, many spatial-temporal graph convolutional network (STGCN) models are proposed to deal with the spatial-temporal network data forecasting problem.

EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective

1 code implementation18 Sep 2020 Zhaochong An, Bozhou Chen, Houde Quan, Qihui Lin, Hongzhi Wang

To solve this problem, in this paper, we propose a general framework, named EM-RBR(embedding and rule-based reasoning), capable of combining the advantages of reasoning based on rules and the state-of-the-art models of embedding.

Knowledge Graph Completion Link Prediction

Automatic Storage Structure Selection for hybrid Workload

no code implementations15 Aug 2020 Hongzhi Wang, Yan Wei, Hao Yan

Therefore, the users of the database need to select the storage engine and design data model according to the workload encountered.

Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network

no code implementations7 Jul 2020 Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang

In our work, we present Auto-CASH, a pre-trained model based on meta-learning, to solve the CASH problem more efficiently.

Classification General Classification +2

Multi-Objective Neural Architecture Search Based on Diverse Structures and Adaptive Recommendation

1 code implementation6 Jul 2020 Chunnan Wang, Hongzhi Wang, Guosheng Feng, Fei Geng

To reduce searching cost, most NAS algorithms use fixed outer network level structure, and search the repeatable cell structure only.

Neural Architecture Search

ConsciousControlFlow(CCF): A Demonstration for conscious Artificial Intelligence

1 code implementation9 Apr 2020 Hongzhi Wang, Bozhou Chen, Yueyang Xu, Kaixin Zhang, Shengwen Zheng

In this demo, we present ConsciousControlFlow(CCF), a prototype system to demonstrate conscious Artificial Intelligence (AI).

LAQP: Learning-based Approximate Query Processing

no code implementations5 Mar 2020 Meifan Zhang, Hongzhi Wang

Querying on big data is a challenging task due to the rapid growth of data amount.

ExperienceThinking: Constrained Hyperparameter Optimization based on Knowledge and Pruning

no code implementations2 Dec 2019 Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen

Motivated by this, we propose ExperienceThinking algorithm to quickly find the best possible hyperparameter configuration of machine learning algorithms within a few configuration evaluations.

Hyperparameter Optimization Neural Architecture Search

Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem

no code implementations24 Oct 2019 Chunnan Wang, Hongzhi Wang, Tianyu Mu, Jianzhong Li, Hong Gao

In many fields, a mass of algorithms with completely different hyperparameters have been developed to address the same type of problems.

Hyperparameter Optimization

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics

no code implementations22 Aug 2019 Hongzhi Wang, Yijie Yang, Yang song

In industrial data analytics, one of the fundamental problems is to utilize the temporal correlation of the industrial data to make timely predictions in the production process, such as fault prediction and yield prediction.

LSTM-based Flow Prediction

no code implementations9 Aug 2019 Hongzhi Wang, Yang song, Shihan Tang

In this paper, a method of prediction on continuous time series variables from the production or flow -- an LSTM algorithm based on multivariate tuning -- is proposed.

Time Series

Predicting Learning Status in MOOCs using LSTM

no code implementations5 Aug 2018 Zhemin Liu, Feng Xiong, Kaifa Zou, Hongzhi Wang

Real-time and open online course resources of MOOCs have attracted a large number of learners in recent years.

General Classification Time Series +2

Error Detection in a Large-Scale Lexical Taxonomy

no code implementations5 Aug 2018 Sifan Liu, Hongzhi Wang

Motived by this, we measure the relation of two concepts by the distance between their corresponding instances and detect errors within the intersection of the conflicting concept sets.

Impacts of Dirty Data: and Experimental Evaluation

no code implementations16 Mar 2018 Zhixin Qi, Hongzhi Wang, Jianzhong Li, Hong Gao

Data quality issues have attracted widespread attention due to the negative impacts of dirty data on data mining and machine learning results.

General Classification

Hierarchical Spatial-aware Siamese Network for Thermal Infrared Object Tracking

1 code implementation27 Nov 2017 Xin Li, Qiao Liu, Nana Fan, Zhenyu He, Hongzhi Wang

In this paper, we cast the TIR tracking problem as a similarity verification task, which is coupled well to the objective of the tracking task.

General Classification Thermal Infrared Object Tracking

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