Hotpaper in 2021-2022 (Root Cause, Correlation)
2022/04/11 22:08:50
2023/04/04 19:00:00
paper list
本文整理2021-2022的关注的各大主题的热门论文。记得读后及时做笔记！
Root Cause
| title | authors | citation | conf | year | is read | note | the point |
|---|---|---|---|---|---|---|---|
| Diagnosing Root Causes of Intermittent Slow Queries in Large-Scale Cloud Databases | Minghua Ma,Zheng Yin,Shenglin Zhang,Sheng Wang,Christopher Zheng,Xinhao Jiang,Hanwen Hu,Cheng Luo,Yilin Li,Nengjun Qiu,Feifei Li,Changcheng Chen,Dan Pei | 42 | VLDB | 2019 | |||
| Causal structure-based root cause analysis of outliers | Kailash Budhathoki,Lenon Minorics,Patrick Blöbaum,Dominik Janzing | 10 | ICML | 2022 | |||
| CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms | Yingying Zhang,Zhengxiong Guan,Huajie Qian,Leili Xu,Hengbo Liu,Qingsong Wen,Liang Sun,Junwei Jiang,Lunting Fan,Min Ke | 8 | CIKM | 2021 | |||
| System Deterioration Detection and Root Cause Learning on Time Series Graphs | Hao Huang,Shinjae Yoo,Yunwen Xu | 2 | CIKM | 2019 | |||
| ICASSP-SPGC 2022: Root Cause Analysis for Wireless Network Fault Localization | Tianjian Zhang,Qian Chen,Yi Jiang,Dandan Miao,Feng Yin,Tao Quan,Qingjiang Shi,Zhi-Quan Luo | 1 | ICASSP | 2022 | |||
| Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems | Pradeep Dogga,Karthik Narasimhan,Anirudh Sivaraman,Shiv Saini,George Varghese,Ravi Netravali | 1 | MLSYS | 2022 | |||
| Causal Alignment Based Fault Root Causes Localization for Wireless Network | Yuequn Liu,Wenhui Zhu,Jie Qiao,Zhiyi Huang,Yu Xiang,Xuanzhi Chen,Wei Chen,Ruichu Cai | 0 | ICASSP | 2022 | |||
| Three-Stage Root Cause Analysis for Logistics Time Efficiency via Explainable Machine Learning | Shiqi Hao,Yang Liu,Yu Wang,Yuan Wang,Wenming Zhe | 0 | KDD | 2022 | |||
| CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis | Shifu Yan,Caihua Shan,Wenyi Yang,Bixiong Xu,Dongsheng Li,Lili Qiu,Jie Tong,Qi Zhang | 0 | KDD | 2022 | |||
| Root Cause Analysis of Failures in Microservices through Causal Discovery | Muhammad Azam Ikram,Sarthak Chakraborty,Subrata Mitra,Shiv Saini,Saurabh Bagchi,Murat Kocaoglu | 0 | NIPS | 2022 | |||
| Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition | Mingjie Li,Zeyan Li,Kanglin Yin,Xiaohui Nie,Wenchi Zhang,Kaixin Sui,Dan Pei | -1 | KDD | 2022 | |||
| ExplainIt! - A Declarative Root-cause Analysis Engine for Time Series Data | Vimalkumar Jeyakumar,Omid Madani,Ali Parandeh,Ashutosh Kulshreshtha,Weifei Zeng,Navindra Yadav | -1 | SIGMOD | 2019 |
Correlation analysis
| title | authors | citation | conf | year | is read | note | the point |
|---|---|---|---|---|---|---|---|
| A Survey on Canonical Correlation Analysis | Xinghao Yang,Weifeng Liu,Wei Liu,Dacheng Tao | 76 | TKDE | 2021 | |||
| From Canonical Correlation Analysis to Self-supervised Graph Neural Networks | Hengrui Zhang,Qitian Wu,Junchi Yan,David Wipf,Philip S Yu | 36 | NIPS | 2021 | |||
| Large-Scale Sparse Kernel Canonical Correlation Analysis | Viivi Uurtio,Sahely Bhadra,Juho Rousu | 28 | ICML | 2019 | |||
| Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis | Quanxue Gao,Huanhuan Lian,Qianqian Wang,Gan Sun | 25 | AAAI | 2020 | |||
| Stochastic Canonical Correlation Analysis | Chao Gao,Dan Garber,Nathan Srebro,Jialei Wang,Weiran Wang | 23 | JMLR | 2020 | |||
| Multi-Modal Sentiment Analysis Using Deep Canonical Correlation Analysis | Zhongkai Sun,Prathusha Kameswara Sarma,William A. Sethares,Erik P. Bucy | 21 | INTERSPEECH | 2019 | |||
| Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion | Yiqi Zhong,Cho-Ying Wu,Suya You,Ulrich Neumann | 19 | NIPS | 2019 | |||
| A Comparative Study of Deep Neural Network-Aided Canonical Correlation Analysis-Based Process Monitoring and Fault Detection Methods | Zhiwen Chen,Ketian Liang,Steven X. Ding,Chao Yang,Tao Peng,Xiaofeng Yuan | 12 | TNNLS | 2022 | |||
| Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition | Xinghao Yang,Weifeng Liu,Wei Liu | 9 | TKDE | 2022 | |||
| Multiview Canonical Correlation Analysis over Graphs | Jia Chen,Gang Wang,Georgios B. Giannakis | 6 | ICASSP | 2019 | |||
| An Online Riemannian PCA for Stochastic Canonical Correlation Analysis | Zihang Meng,Rudrasis Chakraborty,Vikas Singh | 6 | NIPS | 2021 | |||
| Estimating Viewed Image Categories from Human Brain Activity via Semi-supervised Fuzzy Discriminative Canonical Correlation Analysis | Yusuke Akamatsu,Ryosuke Harakawa,Takahiro Ogawa,Miki Haseyama | 4 | ICASSP | 2019 | |||
| Grayscale-thermal Tracking via Canonical Correlation Analysis Based Inverse Sparse Representation | Wan Ding,Bin Kang,Quan Zhou,Min Lin,Suofei Zhang | 4 | ICASSP | 2019 | |||
| Multiview Variational Graph Autoencoders for Canonical Correlation Analysis | Yacouba Kaloga,Pierre Borgnat,Sundeep Prabhakar Chepuri,Patrice Abry,Amaury Habrard | 4 | ICASSP | 2021 | |||
| Deep Probabilistic Canonical Correlation Analysis | Mahdi Karami,Dale Schuurmans | 3 | AAAI | 2021 | |||
| Deep Multiway Canonical Correlation Analysis For Multi-Subject Eeg Normalization | Jaswanth Reddy Katthi,Sriram Ganapathy | 3 | ICASSP | 2021 | |||
| Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development | Qingyu Zhao,Ehsan Adeli,Kilian M. Pohl | 3 | MICCAI | 2021 | |||
| Graph Wasserstein Correlation Analysis for Movie Retrieval | Xueya Zhang,Tong Zhang,Xiaobin Hong,Zhen Cui,Jian Yang | 2 | ECCV | 2020 | |||
| Towards Cross-modality Topic Modelling via Deep Topical Correlation Analysis | Jun Peng,Yiyi Zhou,Liujuan Cao,Xiaoshuai Sun,Jinsong Su,Rongrong Ji | 2 | ICASSP | 2019 | |||
| Supervised Canonical Correlation Analysis of Data on Symmetric Positive Definite Manifolds by Riemannian Dimensionality Reduction | Faezeh Fallah,Bin Yang | 2 | ICASSP | 2020 | |||
| Generalized Autocorrelation Analysis for Multi-Target Detection | Ye’Ela Shalit,Ran Weber,Asaf Abas,Shay Kreymer,Tamir Bendory | 2 | ICASSP | 2022 | |||
| Distributed Differentially-private Canonical Correlation Analysis | Hafiz Imtiaz,Anand D. Sarwate | 1 | ICASSP | 2019 | |||
| Discriminative Feature Selection Guided Deep Canonical Correlation Analysis | Nour El-Din El-Madany,Yifeng He,Ling Guan | 1 | ICASSP | 2019 | |||
| Blind Carbon Copy on Dirty Paper: Seamless Spectrum Underlay via Canonical Correlation Analysis | Mohamed Salah Ibrahim,Nicholas D. Sidiropoulos | 1 | ICASSP | 2021 | |||
| Multisubject Task-Related fMRI Data Processing via a Two-Stage Generalized Canonical Correlation Analysis | Paris A. Karakasis,Athanasios P. Liavas,Nicholas D. Sidiropoulos,Panagiotis G. Simos,Efrosini Papadaki | 1 | TIP | 2022 | |||
| The Magnitude and Phase based Speech Representation Learning using Autoencoder for Classifying Speech Emotions using Deep Canonical Correlation Analysis | Ashishkumar Prabhakar Gudmalwar,Biplove Basel,Anirban Dutta,Ch V. Rama Rao | 0 | INTERSPEECH | 2022 | |||
| Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis | Siyuan Gao,Xilin Shen,R. Todd Constable,Dustin Scheinost | 0 | MICCAI | 2019 | |||
| Time and Memory Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain | Xiang-Jun Shen,Zhaorui Xu,Liangjun Wang,Zechao Li | 0 | MM | 2022 | |||
| A Self-Consistent-Field Iteration for Orthogonal Canonical Correlation Analysis | Lei-Hong Zhang,Li Wang,Zhaojun Bai,Ren-Cang Li | 0 | TPAMI | 2022 | |||
| L0-Sparse Canonical Correlation Analysis | Ofir Lindenbaum,Moshe Salhov,Amir Averbuch,Yuval Kluger | -1 | ICLR | 2022 |