Search Results for author: Jinyang Liu

Found 9 papers, 6 papers with code

BARS: Towards Open Benchmarking for Recommender Systems

3 code implementations19 May 2022 Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang

Despite significant progress made in both research and practice of recommender systems, to date, there is a lack of a widely-recognized benchmarking standard in this field.

Recommendation Systems

Graph-based Incident Aggregation for Large-Scale Online Service Systems

1 code implementation27 Aug 2021 Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu

The proposed framework is evaluated with real-world incident data collected from a large-scale online service system of Huawei Cloud.

Graph Representation Learning Management

Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

1 code implementation13 Jul 2021 Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, Michael R. Lyu

To better understand the characteristics of different anomaly detectors, in this paper, we provide a comprehensive review and evaluation of five popular neural networks used by six state-of-the-art methods.

Anomaly Detection

Exploring Autoencoder-based Error-bounded Compression for Scientific Data

no code implementations25 May 2021 Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello

(1) We provide an in-depth investigation of the characteristics of various autoencoder models and develop an error-bounded autoencoder-based framework in terms of the SZ model.

Image Compression

Ensembled CTR Prediction via Knowledge Distillation

no code implementations8 Nov 2020 Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng

Recently, deep learning-based models have been widely studied for click-through rate (CTR) prediction and lead to improved prediction accuracy in many industrial applications.

Click-Through Rate Prediction Knowledge Distillation

BarsCTR: Open Benchmarking for Click-Through Rate Prediction

2 code implementations12 Sep 2020 Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He

We have publicly released the benchmarking code, evaluation protocols, and hyper-parameter settings of our work to promote reproducible research in this field.

Click-Through Rate Prediction Recommendation Systems

Normalization of Input-output Shared Embeddings in Text Generation Models

no code implementations22 Jan 2020 Jinyang Liu, Yujia Zhai, Zizhong Chen

Neural Network based models have been state-of-the-art models for various Natural Language Processing tasks, however, the input and output dimension problem in the networks has still not been fully resolved, especially in text generation tasks (e. g. Machine Translation, Text Summarization), in which input and output both have huge sizes of vocabularies.

Machine Translation Text Generation +2

Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression

1 code implementation24 Sep 2019 Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu

Data compression is essential to reduce the cost of log storage.

Databases Software Engineering

Tools and Benchmarks for Automated Log Parsing

5 code implementations8 Nov 2018 Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu

Logs are imperative in the development and maintenance process of many software systems.

Software Engineering

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