Xi Jiang

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All published works

Action	Title	Year	Authors
+ PDF Chat	SoftPatch+: Fully unsupervised anomaly classification and segmentation	2024	Chengjie Wang Xi Jiang Bin-Bin Gao Zhenye Gan Yong Liu Feng Zheng Lizhuang Ma
+ PDF Chat	MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection	2024	Xi Jiang Jian Li Hanqiu Deng Yong Liu Bin-Bin Gao Yifeng Zhou Jialin Li Chengjie Wang Feng Zheng
+ PDF Chat	CAR: Controllable Autoregressive Modeling for Visual Generation	2024	Ziyu Yao Jialin Li Yifeng Zhou Yong Liu Xi Jiang Chengjie Wang Feng Zheng Yuexian Zou Li Lei
+ PDF Chat	SoftPatch: Unsupervised Anomaly Detection with Noisy Data	2024	Xi Jiang Huiling Chen Qiang Nie Yong Liu Jianlin Liu Bin-Bin Gao Jun Liu Chengjie Wang Feng Zheng
+ PDF Chat	Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference	2024	Xi Jiang Huiling Chen Qiang Nie Jianlin Liu Yong Liu Chengjie Wang Feng Zheng
+ PDF Chat	A Bayesian Federated Learning Framework With Online Laplace Approximation	2023	Liangxi Liu Xi Jiang Feng Zheng Hong Chen Guo-Jun Qi Heng Huang Ling Shao
+	A Survey of Visual Sensory Anomaly Detection	2022	Xi Jiang Guoyang Xie Jinbao Wang Yong Liu Chengjie Wang Feng Zheng Yaochu Jin
+	A Bayesian Federated Learning Framework with Online Laplace Approximation	2021	Liangxi Liu Xi Jiang Feng Zheng Hong Chen Guo-Jun Qi Heng Huang Ling Shao

Common Coauthors

Coauthor	Papers Together
Feng Zheng	6
Chengjie Wang	6
Bin-Bin Gao	3
Yong Liu	3
Hong Chen	2
Qiang Nie	2
Heng Huang	2
Feng Zheng	2
Liangxi Liu	2
Ling Shao	2
Jialin Li	2
Yifeng Zhou	2
Huiling Chen	2
Jianlin Liu	2
Guo-Jun Qi	2
Hanqiu Deng	1
Ziyu Yao	1
Yong Liu	1
Yuexian Zou	1
Jian Li	1
Yong Liu	1
Li Lei	1
Zhenye Gan	1
Guoyang Xie	1
Yong Liu	1
Lizhuang Ma	1
Jinbao Wang	1
Jun Liu	1
Yaochu Jin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Variational Federated Multi-Task Learning	2019	Luca Corinzia Joachim M. Buhmann	2
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	2
+ PDF Chat	The topography of multivariate normal mixtures	2005	Surajit Ray Bruce G. Lindsay	2
+	Federated Optimization in Heterogeneous Networks	2018	Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	2
+	Bayesian Nonparametric Federated Learning of Neural Networks	2019	Mikhail Yurochkin Mayank Agarwal Soumya Ghosh Kristjan Greenewald Trong Nghia Hoang Yasaman Khazaeni	2
+	Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization	2020	Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor	2
+	An Expectation-Maximization Perspective on Federated Learning	2021	Christos Louizos Matthias Reisser Joseph B. Soriaga Max Welling	2
+ PDF Chat	Federated Learning on Non-IID Data Silos: An Experimental Study	2022	Qinbin Li Yiqun Diao Quan Chen Bingsheng He	2
+	On the Convergence of FedAvg on Non-IID Data	2019	Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang	2
+	Practical Secure Aggregation for Federated Learning on User-Held Data	2016	Keith Bonawitz Vladimir Ivanov Ben Kreuter Antonio Marcedone H. Brendan McMahan Sarvar Patel Daniel Ramage Aaron Segal Karn Seth	2
+	Local SGD Converges Fast and Communicates Little	2018	Sebastian U. Stich	2
+	AIDE: Fast and Communication Efficient Distributed Optimization	2016	Sashank J. Reddi Jakub Konečný Peter Richtárik Barnabás Póczos Alexander J. Smola	2
+	Progress & Compress: A scalable framework for continual learning	2018	Jonathan Schwarz Jelena Luketina Wojciech Marian Czarnecki Agnieszka Grabska‐Barwińska Yee Whye Teh Razvan Pascanu Raia Hadsell	2
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	2
+	Overcoming Forgetting in Federated Learning on Non-IID Data	2019	Neta Shoham Tomer Avidor Aviv Keren Nadav Israel Daniel Benditkis Liron Mor-Yosef Itai Zeitak	2
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	2
+	Communication-Efficient Learning of Deep Networks from Decentralized Data	2016	H. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson Blaise Agüera y Arcas	2
+	Federated Learning with Matched Averaging	2020	Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Yasaman Khazaeni	2
+	Revisiting Natural Gradient for Deep Networks	2013	Razvan Pascanu Yoshua Bengio	2
+	On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization	2018	Fan Zhou Guojing Cong	1
+ PDF Chat	Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows	2021	Marco Rudolph Bastian Wandt Bodo Rosenhahn	1
+	FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning	2020	Hong-You Chen Wei‐Lun Chao	1
+	Unbiased Teacher for Semi-Supervised Object Detection	2021	Yen‐Cheng Liu Chih‐Yao Ma Zijian He Chia-Wen Kuo Kan Chen Peizhao Zhang Bichen Wu Zsolt Kira Péter Vajda	1
+ PDF Chat	A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection	2021	Shelly Sheynin Sagie Benaim Lior Wolf	1
+ PDF Chat	Multiresolution Knowledge Distillation for Anomaly Detection	2021	Mohammadreza Salehi Niousha Sadjadi Soroosh Baselizadeh Mohammad Hossein Rohban Hamid R. Rabiee	1
+ PDF Chat	Towards Total Recall in Industrial Anomaly Detection	2022	Karsten Roth Latha Pemula Joaquin Zepeda Bernhard Schölkopf Thomas Brox Peter Gehler	1
+ PDF Chat	End-to-End Semi-Supervised Object Detection with Soft Teacher	2021	Mengde Xu Zheng Zhang Han Hu Jianfeng Wang Lijuan Wang Fangyun Wei Xiang Bai Zicheng Liu	1
+ PDF Chat	SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification	2021	Zijian Hu Zhengyu Yang Xuefeng Hu Ram Nevatia	1
+ PDF Chat	CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows	2022	Denis Gudovskiy Shun Ishizaka Kazuki Kozuka	1
+ PDF Chat	Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection	2021	Jinlei Hou Yingying Zhang Qiaoyong Zhong Di Xie Shiliang Pu Hong Zhou	1
+ PDF Chat	Deep One-Class Classification via Interpolated Gaussian Descriptor	2022	Yuanhong Chen Yu Tian Guansong Pang Gustavo Carneiro	1
+ PDF Chat	DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection	2021	Vitjan Zavrtanik Matej Kristan Danijel Skočaj	1
+ PDF Chat	CFA: Coupled-Hypersphere-Based Feature Adaptation for Target-Oriented Anomaly Localization	2022	Sungwook Lee Seunghyun Lee Byung Cheol Song	1
+	Continual Learning Through Synaptic Intelligence	2017	Friedemann Zenke Ben Poole Surya Ganguli	1
+	Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection	2022	Choubo Ding Guansong Pang Chunhua Shen	1
+ PDF Chat	Class-Aware Contrastive Semi-Supervised Learning	2022	Fan Yang Kai Wu Shuyi Zhang Guannan Jiang Yong Liu Feng Zheng Wei Zhang Chengjie Wang Long Zeng	1
+ PDF Chat	ADBench: Anomaly Detection Benchmark	2022	Songqiao Han Xiyang Hu Hailiang Huang Minqi Jiang Yue Zhao	1
+ PDF Chat	SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation	2022	Yang Zou Jongheon Jeong Latha Pemula Dongqing Zhang Onkar Dabeer	1
+ PDF Chat	Anomaly Detection via Reverse Distillation from One-Class Embedding	2022	Hanqiu Deng Xingyu Li	1
+ PDF Chat	Omni-Frequency Channel-Selection Representations for Unsupervised Anomaly Detection	2023	Yufei Liang Jiangning Zhang Shiwei Zhao Runze Wu Yong Liu Shuwen Pan	1
+ PDF Chat	SaliencyCut: Augmenting plausible anomalies for anomaly detection	2024	Jianan Ye Yijie Hu Xi Yang Qiufeng Wang Chao Huang Kaizhu Huang	1
+	Federated Learning of Deep Networks using Model Averaging	2016	H. Brendan McMahan Eider Moore Daniel Ramage Blaise Agüera y Arcas	1
+	Practical Secure Aggregation for Federated Learning on User-Held Data	2016	Kallista Bonawitz Vladimir Ivanov Ben Kreuter Antonio Marcedone H. Brendan McMahan Sarvar Patel Daniel Ramage Aaron Segal Karn Seth	1
+	Overcoming Catastrophic Forgetting by Incremental Moment Matching	2017	Sang-Woo Lee Jin-Hwa Kim Jae-Hyun Jun Jung-Woo Ha Byoung‐Tak Zhang	1
+	Variational Continual Learning	2017	Cuong V. Nguyen Yingzhen Li Thang D. Bui Richard E. Turner	1
+	Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting	2018	Hippolyt Ritter Aleksandar Botev David Barber	1
+	Local SGD Converges Fast and Communicates Little	2018	Sebastian U. Stich	1
+	Federated Optimization in Heterogeneous Networks	2018	Li Tian Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	1
+	Federated Machine Learning: Concept and Applications	2019	Qiang Yang Yang Liu Tianjian Chen Yongxin Tong	1
+	Overcoming Catastrophic Forgetting by Incremental Moment Matching	2017	Sang-Woo Lee Jin-Hwa Kim Jae-Hyun Jun Jung-Woo Ha Byoung‐Tak Zhang	1