Xiangning Chen

According to our database, Xiangning Chen authored at least 55 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

STCD: efficient Siamese transformers-based change detection method for remote sensing images.

Decheng Wang, Xiangning Chen, Ningbo Guo, Hui Yi, Yinan Li

Geo spatial Inf. Sci., July, 2024

Red Teaming Language Model Detectors with Language Models.

Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh

Trans. Assoc. Comput. Linguistics, 2024

2023

HFCC-Net: A Dual-Branch Hybrid Framework of CNN and CapsNet for Land-Use Scene Classification.

Ningbo Guo, Mingyong Jiang, Lijing Gao, Kaitao Li, Fengjie Zheng, Xiangning Chen, Mingdong Wang

Remote. Sens., October, 2023

CRABR-Net: A Contextual Relational Attention-Based Recognition Network for Remote Sensing Scene Objective.

Ningbo Guo, Mingyong Jiang, Lijing Gao, Yizhuo Tang, Jinwei Han, Xiangning Chen

Sensors, September, 2023

Precipitable Water Vapor Retrieval Based on DPC Onboard GaoFen-5 (02) Satellite.

Chao Wang, Zheng Shi, Yanqing Xie, Donggen Luo, Zhengqiang Li, Decheng Wang, Xiangning Chen

Remote. Sens., January, 2023

Advancing Automated Machine Learning: Neural Architectures and Optimization Algorithms

Xiangning Chen

PhD thesis, 2023

Symbolic Discovery of Optimization Algorithms.

Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Yao Liu, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le

CoRR, 2023

Why Does Sharpness-Aware Minimization Generalize Better Than SGD?

Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Symbolic Discovery of Optimization Algorithms.

Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Symbol tuning improves in-context learning in language models.

Jerry W. Wei, Le Hou, Andrew K. Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Low-Power RF Programmable Frequency Divider.

Yu Zheng, Xiangning Chen

Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

A Nerve-Like Systolic Message Bus System.

Guokang Wang, Xiangning Chen, Tianchen He

Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

Research on Open Source Processor and Analysis of Current Development Dilemma Based on RISC-V.

Tianchen He, Xiangning Chen, Guokang Wang

Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

Survey and Comparison of Pipeline of Some RISC and CISC System Architectures.

Yan He, Xiangning Chen

Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

2022

An unsupervised heterogeneous change detection method based on image translation network and post-processing algorithm.

Decheng Wang, Feng Zhao, Hui Yi, Yinan Li, Xiangning Chen

Int. J. Digit. Earth, December, 2022

Cross-domain Recommendation with Bridge-Item Embeddings.

Chen Gao, Yong Li, Fuli Feng, Xiangning Chen, Kai Zhao, Xiangnan He, Depeng Jin

ACM Trans. Knowl. Discov. Data, 2022

Genome-Wide Causation Studies of Complex Diseases.

Rong Jiao, Xiangning Chen, Eric Boerwinkle, Momiao Xiong

J. Comput. Biol., 2022

2.5D visual relationship detection.

Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong

Comput. Vis. Image Underst., 2022

Random Sharpness-Aware Minimization.

Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Schedule Learning rate with Graph Neural Networks.

Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh

Proceedings of the Tenth International Conference on Learning Representations, 2022

Concurrent Adversarial Learning for Large-Batch Training.

Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You

Proceedings of the Tenth International Conference on Learning Representations, 2022

When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations.

Xiangning Chen, Cho-Jui Hsieh, Boqing Gong

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Efficient and Scalable Sharpness-Aware Minimization.

Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Survey and Compare of Some Embedded Operation Systems for the Internet of Things.

Benchi Yuan, Xiangning Chen, Shuai Cao

Proceedings of the 7th International Conference on Computer and Communication Systems, 2022

Overview of Short-range Wireless Communication Protocol.

Shuai Cao, Xiangning Chen, Benchi Yuan

Proceedings of the 7th International Conference on Computer and Communication Systems, 2022

2021

Learning to Recommend With Multiple Cascading Behaviors.

Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin

IEEE Trans. Knowl. Data Eng., 2021

Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network.

Xiangning Chen, Daniel G. Chen, Zhongming Zhao, Justin Zhan, Changrong Ji, Jingchun Chen

Patterns, 2021

Can Vision Transformers Perform Convolution?

Shanda Li, Xiangning Chen, Di He, Cho-Jui Hsieh

CoRR, 2021

When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations.

Xiangning Chen, Cho-Jui Hsieh, Boqing Gong

CoRR, 2021

ADS-Net: An Attention-Based deeply supervised network for remote sensing image change detection.

Decheng Wang, Xiangning Chen, Mingyong Jiang, Shuhan Du, Bijie Xu, Junda Wang

Int. J. Appl. Earth Obs. Geoinformation, 2021

An Epipolar Resampling Method for Multi-View High Resolution Satellite Images Based on Block.

Hui Yi, Xiangning Chen, Decheng Wang, Shuhan Du, Bijie Xu, Feng Zhao

IEEE Access, 2021

Rethinking Architecture Selection in Differentiable NAS.

Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh

Proceedings of the 9th International Conference on Learning Representations, 2021

DrNAS: Dirichlet Neural Architecture Search.

Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh

Proceedings of the 9th International Conference on Learning Representations, 2021

RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving.

Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Novel Blind Estimation Method of SFO based on QPSK.

Kaiyan Du, Xiangning Chen, Miantao Wang

Proceedings of the ICCBN 2021: 9th International Conference on Communications and Broadband Networking, Shanghai, China, 25 February, 2021, 2021

Robust and Accurate Object Detection via Adversarial Learning.

Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Overview of Application Layer Protocol of Internet of Things.

Jienan Dong, Xiangning Chen, Shuai Cao

Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

2020

Methods for the Epipolarity Analysis of Pushbroom Satellite Images Based on the Rational Function Model.

Hui Yi, Xiangning Chen, Decheng Wang, Shuhan Du, Ningbo Guo

IEEE Access, 2020

Efficient Neural Interaction Function Search for Collaborative Filtering.

Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li, Cho-Jui Hsieh

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Stabilizing Differentiable Architecture Search via Perturbation-based Regularization.

Xiangning Chen, Cho-Jui Hsieh

Proceedings of the 37th International Conference on Machine Learning, 2020

Research on DDoS Attacks in IPv6.

Jie Zhong, Xiangning Chen

Proceedings of the CSAE 2020: The 4th International Conference on Computer Science and Application Engineering, 2020

Comparison and Analysis of SFO Estimation Methods Based on OFDM.

Yachang Hou, Xiangning Chen, Kaiyan Du

Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2019

Multifaceted Geometric Assessment towards Simplified Urban Surfaces Built by 3D Reconstruction.

Sheng'en Liu, Hui Yi, Xiangning Chen, Decheng Wang, Wei Jin

ISPRS Int. J. Geo Inf., 2019

Searching for Interaction Functions in Collaborative Filtering.

Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li

CoRR, 2019

Improvement of Non-Maximum Suppression in RGB-D Object Detection.

Decheng Wang, Xiangning Chen, Hui Yi, Feng Zhao

IEEE Access, 2019

Cross-domain Recommendation Without Sharing User-relevant Data.

Chen Gao, Xiangning Chen, Fuli Feng, Kai Zhao, Xiangnan He, Yong Li, Depeng Jin

Proceedings of the World Wide Web Conference, 2019

DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation.

Huan Yan, Xiangning Chen, Chen Gao, Yong Li, Depeng Jin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Neural Feature Search: A Neural Architecture for Automated Feature Engineering.

Xiangning Chen, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, Dongmei Zhang, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Neural Multi-task Recommendation from Multi-behavior Data.

Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Learning Recommender Systems from Multi-Behavior Data.

Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin

CoRR, 2018

2017

Research on RBF neural network in simulation of MBR membrane pollution simulation.

Xiangning Chen, Chunqing Li, Wenbo Hu, Jia Tang

Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

2016

Discovering the Hidden Connections between Genes and Proteins from the Undiscovered Public Literature.

Jain-Shing Wu, Xiangning Chen, Tian-Hsiang Huang

Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, 2016

2009

A multi-dimensional evidence-based candidate gene prioritization approach for complex diseases-schizophrenia as a case.

Jingchun Sun, Peilin Jia, Ayman H. Fanous, Bradley Todd Webb, Edwin J. C. G. van den Oord, Xiangning Chen, József Bukszár, Kenneth S. Kendler, Zhongming Zhao

Bioinform., 2009

2001

TCP Reno and Vegas performance in wireless ad hoc networks.

Hai Jiang, Shixin Cheng, Xiangning Chen

Proceedings of the IEEE International Conference on Communications, 2001

The cell structure of the next generation ATM.

Xiangning Chen, Shixin Cheng, Wei Lu

Proceedings of the IEEE International Conference on Communications, 2001