The cell structure of the next generation ATM. - Xiangning Chen; Shixin Cheng; Wei Lu (ICC, 2001)

TCP Reno and Vegas performance in wireless ad hoc networks. - Hai Jiang; Shixin Cheng; Xiangning Chen (ICC, 2001)

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)

Discovering the Hidden Connections between Genes and Proteins from the Undiscovered Public Literature. - Jain-Shing Wu; Xiangning Chen; Tian-Hsiang Huang (MISNC, 2016)

Research on RBF neural network in simulation of MBR membrane pollution simulation. - Xiangning Chen; Chunqing Li; Wenbo Hu; Jia Tang (ICIS, 2017)

Learning Recommender Systems from Multi-Behavior Data. - Chen Gao 001; Xiangnan He 001; Dahua Gan; Xiangning Chen; Fuli Feng; Yong Li 008; Tat-Seng Chua; Depeng Jin (CoRR, 2018)

Neural Multi-task Recommendation from Multi-behavior Data. - Chen Gao 001; Xiangnan He 001; Dahua Gan; Xiangning Chen; Fuli Feng; Yong Li 008; Tat-Seng Chua; Depeng Jin (ICDE, 2019)

Neural Feature Search: A Neural Architecture for Automated Feature Engineering. - Xiangning Chen; Bo Qiao 001; Weiyi Zhang; Wei Wu 011; Murali Chintalapati; Dongmei Zhang 001; Qingwei Lin; Chuan Luo 002; Xudong Li; Hongyu Zhang 002; Yong Xu 010; Yingnong Dang; et al. (ICDM, 2019)

DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation. - Huan Yan; Xiangning Chen; Chen Gao 001; Yong Li 008; Depeng Jin (IJCAI, 2019)

Cross-domain Recommendation Without Sharing User-relevant Data. - Chen Gao 001; Xiangning Chen; Fuli Feng; Kai Zhao; Xiangnan He 001; Yong Li 008; Depeng Jin (WWW, 2019)

Improvement of Non-Maximum Suppression in RGB-D Object Detection. - Decheng Wang; Xiangning Chen; Hui Yi; Feng Zhao (IEEE Access, 2019)

Searching for Interaction Functions in Collaborative Filtering. - Quanming Yao; Xiangning Chen; James T. Kwok; Yong Li 008 (CoRR, 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)

Comparison and Analysis of SFO Estimation Methods Based on OFDM. - Yachang Hou; Xiangning Chen; Kaiyan Du (ICCCS, 2020)

Research on DDoS Attacks in IPv6. - Jie Zhong; Xiangning Chen (CSAE, 2020)

Stabilizing Differentiable Architecture Search via Perturbation-based Regularization. - Xiangning Chen; Cho-Jui Hsieh (ICML, 2020)

Efficient Neural Interaction Function Search for Collaborative Filtering. - Quanming Yao; Xiangning Chen; James T. Kwok; Yong Li 008; Cho-Jui Hsieh (WWW, 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)

Overview of Application Layer Protocol of Internet of Things. - Jienan Dong; Xiangning Chen; Shuai Cao (ICCCS, 2021)

Robust and Accurate Object Detection via Adversarial Learning. - Xiangning Chen; Cihang Xie; Mingxing Tan; Li Zhang 003; Cho-Jui Hsieh; Boqing Gong (CVPR, 2021)

A Novel Blind Estimation Method of SFO based on QPSK. - Kaiyan Du; Xiangning Chen; Miantao Wang (ICCBN, 2021)

RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. - Ruochen Wang; Xiangning Chen; Minhao Cheng; Xiaocheng Tang; Cho-Jui Hsieh (ICCV, 2021)

DrNAS: Dirichlet Neural Architecture Search. - Xiangning Chen; Ruochen Wang; Minhao Cheng; Xiaocheng Tang; Cho-Jui Hsieh (ICLR, 2021)

Rethinking Architecture Selection in Differentiable NAS. - Ruochen Wang; Minhao Cheng; Xiangning Chen; Xiaocheng Tang; Cho-Jui Hsieh (ICLR, 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)

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)

When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations. - Xiangning Chen; Cho-Jui Hsieh; Boqing Gong (CoRR, 2021)

Can Vision Transformers Perform Convolution? - Shanda Li; Xiangning Chen; Di He 001; Cho-Jui Hsieh (CoRR, 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)

Learning to Recommend With Multiple Cascading Behaviors. - Chen Gao 001; Xiangnan He 001; Dahua Gan; Xiangning Chen; Fuli Feng; Yong Li 008; Tat-Seng Chua; Lina Yao 001; Yang Song 001; Depeng Jin (IEEE Trans. Knowl. Data Eng., 2021)

Overview of Short-range Wireless Communication Protocol. - Shuai Cao; Xiangning Chen; Benchi Yuan (ICCCS, 2022)

Survey and Compare of Some Embedded Operation Systems for the Internet of Things. - Benchi Yuan; Xiangning Chen; Shuai Cao (ICCCS, 2022)

Towards Efficient and Scalable Sharpness-Aware Minimization. - Yong Liu 020; Siqi Mai; Xiangning Chen; Cho-Jui Hsieh; Yang You 001 (CVPR, 2022)

When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations. - Xiangning Chen; Cho-Jui Hsieh; Boqing Gong (ICLR, 2022)

Concurrent Adversarial Learning for Large-Batch Training. - Yong Liu 020; Xiangning Chen; Minhao Cheng; Cho-Jui Hsieh; Yang You 001 (ICLR, 2022)

Learning to Schedule Learning rate with Graph Neural Networks. - Yuanhao Xiong; Li-Cheng Lan; Xiangning Chen; Ruochen Wang; Cho-Jui Hsieh (ICLR, 2022)

Random Sharpness-Aware Minimization. - Yong Liu 020; Siqi Mai; Minhao Cheng; Xiangning Chen; Cho-Jui Hsieh; Yang You 001 (NeurIPS, 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 001; Ming-Hsuan Yang 001; Boqing Gong (Comput. Vis. Image Underst., 2022)

Genome-Wide Causation Studies of Complex Diseases. - Rong Jiao; Xiangning Chen; Eric Boerwinkle; Momiao Xiong (J. Comput. Biol., 2022)

Cross-domain Recommendation with Bridge-Item Embeddings. - Chen Gao 001; Yong Li 008; Fuli Feng; Xiangning Chen; Kai Zhao; Xiangnan He 001; Depeng Jin (ACM Trans. Knowl. Discov. Data, 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, 2022)

Survey and Comparison of Pipeline of Some RISC and CISC System Architectures. - Yan He; Xiangning Chen (ICCCS, 2023)

Research on Open Source Processor and Analysis of Current Development Dilemma Based on RISC-V. - Tianchen He; Xiangning Chen; Guokang Wang (ICCCS, 2023)

A Nerve-Like Systolic Message Bus System. - Guokang Wang; Xiangning Chen; Tianchen He (ICCCS, 2023)

A Low-Power RF Programmable Frequency Divider. - Yu Zheng; Xiangning Chen (ICCCS, 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 001; Quoc V. Le (EMNLP, 2023)

Symbolic Discovery of Optimization Algorithms. - Xiangning Chen; Chen Liang; Da Huang; Esteban Real; Kaiyuan Wang; Hieu Pham 001; Xuanyi Dong; Thang Luong; Cho-Jui Hsieh; Yifeng Lu; Quoc V. Le (NeurIPS, 2023)

Why Does Sharpness-Aware Minimization Generalize Better Than SGD? - Zixiang Chen; Junkai Zhang; Yiwen Kou; Xiangning Chen; Cho-Jui Hsieh; Quanquan Gu (NeurIPS, 2023)

Symbolic Discovery of Optimization Algorithms. - Xiangning Chen; Chen Liang; Da Huang; Esteban Real; Kaiyuan Wang; Yao Liu; Hieu Pham 001; Xuanyi Dong; Thang Luong; Cho-Jui Hsieh; Yifeng Lu; Quoc V. Le (CoRR, 2023)

Advancing Automated Machine Learning: Neural Architectures and Optimization Algorithms - Xiangning Chen (2023)

Precipitable Water Vapor Retrieval Based on DPC Onboard GaoFen-5 (02) Satellite. - Chao Wang; Zheng Shi 005; Yanqing Xie; Donggen Luo; Zhengqiang Li; Decheng Wang; Xiangning Chen (Remote. Sens., 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, 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., 2023)

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)

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., 2024)