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Xiangning Chen
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2020 – today
- 2024
- [j16]Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh:
Red Teaming Language Model Detectors with Language Models. Trans. Assoc. Comput. Linguistics 12: 174-189 (2024) - 2023
- [j15]Chao Wang, Zheng Shi, Yanqing Xie
, Donggen Luo, Zhengqiang Li
, Decheng Wang, Xiangning Chen:
Precipitable Water Vapor Retrieval Based on DPC Onboard GaoFen-5 (02) Satellite. Remote. Sens. 15(1): 94 (2023) - [j14]Ningbo Guo
, Mingyong Jiang, Lijing Gao, Kaitao Li
, Fengjie Zheng, Xiangning Chen, Mingdong Wang:
HFCC-Net: A Dual-Branch Hybrid Framework of CNN and CapsNet for Land-Use Scene Classification. Remote. Sens. 15(20): 5044 (2023) - [j13]Ningbo Guo
, Mingyong Jiang, Lijing Gao, Yizhuo Tang, Jinwei Han, Xiangning Chen:
CRABR-Net: A Contextual Relational Attention-Based Recognition Network for Remote Sensing Scene Objective. Sensors 23(17): 7514 (2023) - [c32]Yu Zheng, Xiangning Chen:
A Low-Power RF Programmable Frequency Divider. ICCCS 2023: 114-119 - [c31]Tianchen He, Xiangning Chen, Guokang Wang:
Research on Open Source Processor and Analysis of Current Development Dilemma Based on RISC-V. ICCCS 2023: 768-774 - [c30]Yan He, Xiangning Chen:
Survey and Comparison of Pipeline of Some RISC and CISC System Architectures. ICCCS 2023: 785-790 - [c29]Guokang Wang, Xiangning Chen, Tianchen He:
A Nerve-Like Systolic Message Bus System. ICCCS 2023: 802-807 - [c28]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:
Symbol tuning improves in-context learning in language models. EMNLP 2023: 968-979 - [c27]Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le:
Symbolic Discovery of Optimization Algorithms. NeurIPS 2023 - [c26]Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu:
Why Does Sharpness-Aware Minimization Generalize Better Than SGD? NeurIPS 2023 - [i16]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:
Symbolic Discovery of Optimization Algorithms. CoRR abs/2302.06675 (2023) - [i15]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:
Symbol tuning improves in-context learning in language models. CoRR abs/2305.08298 (2023) - [i14]Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh:
Red Teaming Language Model Detectors with Language Models. CoRR abs/2305.19713 (2023) - [i13]Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu:
Why Does Sharpness-Aware Minimization Generalize Better Than SGD? CoRR abs/2310.07269 (2023) - 2022
- [j12]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:
2.5D visual relationship detection. Comput. Vis. Image Underst. 224: 103557 (2022) - [j11]Decheng Wang
, Feng Zhao, Hui Yi, Yinan Li, Xiangning Chen:
An unsupervised heterogeneous change detection method based on image translation network and post-processing algorithm. Int. J. Digit. Earth 15(1): 1056-1080 (2022) - [j10]Rong Jiao, Xiangning Chen, Eric Boerwinkle, Momiao Xiong
:
Genome-Wide Causation Studies of Complex Diseases. J. Comput. Biol. 29(8): 908-931 (2022) - [j9]Chen Gao
, Yong Li, Fuli Feng, Xiangning Chen, Kai Zhao, Xiangnan He, Depeng Jin:
Cross-domain Recommendation with Bridge-Item Embeddings. ACM Trans. Knowl. Discov. Data 16(1): 2:1-2:23 (2022) - [c25]Shuai Cao, Xiangning Chen, Benchi Yuan:
Overview of Short-range Wireless Communication Protocol. ICCCS 2022: 519-523 - [c24]Benchi Yuan, Xiangning Chen, Shuai Cao:
Survey and Compare of Some Embedded Operation Systems for the Internet of Things. ICCCS 2022: 665-669 - [c23]Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You:
Towards Efficient and Scalable Sharpness-Aware Minimization. CVPR 2022: 12350-12360 - [c22]Xiangning Chen, Cho-Jui Hsieh, Boqing Gong:
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations. ICLR 2022 - [c21]Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Concurrent Adversarial Learning for Large-Batch Training. ICLR 2022 - [c20]Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh:
Learning to Schedule Learning rate with Graph Neural Networks. ICLR 2022 - [c19]Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You:
Random Sharpness-Aware Minimization. NeurIPS 2022 - [i12]Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You:
Towards Efficient and Scalable Sharpness-Aware Minimization. CoRR abs/2203.02714 (2022) - 2021
- [j8]Hui Yi
, Xiangning Chen
, Decheng Wang
, Shuhan Du
, Bijie Xu
, Feng Zhao:
An Epipolar Resampling Method for Multi-View High Resolution Satellite Images Based on Block. IEEE Access 9: 162884-162892 (2021) - [j7]Decheng Wang
, Xiangning Chen, Mingyong Jiang, Shuhan Du, Bijie Xu, Junda Wang:
ADS-Net: An Attention-Based deeply supervised network for remote sensing image change detection. Int. J. Appl. Earth Obs. Geoinformation 101: 102348 (2021) - [j6]Xiangning Chen, Daniel G. Chen, Zhongming Zhao, Justin Zhan, Changrong Ji, Jingchun Chen:
Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network. Patterns 2(8): 100303 (2021) - [j5]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song
, Depeng Jin:
Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. 33(6): 2588-2601 (2021) - [c18]Jienan Dong, Xiangning Chen, Shuai Cao:
Overview of Application Layer Protocol of Internet of Things. ICCCS 2021: 922-926 - [c17]Xiangning Chen, Cihang Xie
, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong:
Robust and Accurate Object Detection via Adversarial Learning. CVPR 2021: 16622-16631 - [c16]Kaiyan Du, Xiangning Chen, Miantao Wang:
A Novel Blind Estimation Method of SFO based on QPSK. ICCBN 2021: 155-159 - [c15]Ruochen Wang, Xiangning Chen, Minhao Cheng
, Xiaocheng Tang, Cho-Jui Hsieh:
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. ICCV 2021: 10357-10366 - [c14]Xiangning Chen, Ruochen Wang, Minhao Cheng
, Xiaocheng Tang, Cho-Jui Hsieh:
DrNAS: Dirichlet Neural Architecture Search. ICLR 2021 - [c13]Ruochen Wang, Minhao Cheng
, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh:
Rethinking Architecture Selection in Differentiable NAS. ICLR 2021 - [i11]Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong:
Robust and Accurate Object Detection via Adversarial Learning. CoRR abs/2103.13886 (2021) - [i10]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:
2.5D Visual Relationship Detection. CoRR abs/2104.12727 (2021) - [i9]Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Concurrent Adversarial Learning for Large-Batch Training. CoRR abs/2106.00221 (2021) - [i8]Xiangning Chen, Cho-Jui Hsieh, Boqing Gong:
When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations. CoRR abs/2106.01548 (2021) - [i7]Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh:
Rethinking Architecture Selection in Differentiable NAS. CoRR abs/2108.04392 (2021) - [i6]Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh:
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. CoRR abs/2108.08019 (2021) - [i5]Shanda Li, Xiangning Chen, Di He, Cho-Jui Hsieh:
Can Vision Transformers Perform Convolution? CoRR abs/2111.01353 (2021) - 2020
- [j4]Hui Yi
, Xiangning Chen
, Decheng Wang
, Shuhan Du
, Ningbo Guo
:
Methods for the Epipolarity Analysis of Pushbroom Satellite Images Based on the Rational Function Model. IEEE Access 8: 103973-103983 (2020) - [c12]Yachang Hou, Xiangning Chen, Kaiyan Du:
Comparison and Analysis of SFO Estimation Methods Based on OFDM. ICCCS 2020: 640-644 - [c11]Jie Zhong, Xiangning Chen:
Research on DDoS Attacks in IPv6. CSAE 2020: 42:1-42:6 - [c10]Xiangning Chen, Cho-Jui Hsieh:
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization. ICML 2020: 1554-1565 - [c9]Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li, Cho-Jui Hsieh:
Efficient Neural Interaction Function Search for Collaborative Filtering. WWW 2020: 1660-1670 - [i4]Xiangning Chen, Cho-Jui Hsieh:
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization. CoRR abs/2002.05283 (2020) - [i3]Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh:
DrNAS: Dirichlet Neural Architecture Search. CoRR abs/2006.10355 (2020)
2010 – 2019
- 2019
- [j3]Decheng Wang
, Xiangning Chen, Hui Yi
, Feng Zhao:
Improvement of Non-Maximum Suppression in RGB-D Object Detection. IEEE Access 7: 144134-144143 (2019) - [j2]Sheng'en Liu, Hui Yi
, Xiangning Chen, Decheng Wang, Wei Jin:
Multifaceted Geometric Assessment towards Simplified Urban Surfaces Built by 3D Reconstruction. ISPRS Int. J. Geo Inf. 8(8): 360 (2019) - [c8]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin:
Neural Multi-task Recommendation from Multi-behavior Data. ICDE 2019: 1554-1557 - [c7]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:
Neural Feature Search: A Neural Architecture for Automated Feature Engineering. ICDM 2019: 71-80 - [c6]Huan Yan, Xiangning Chen, Chen Gao, Yong Li, Depeng Jin:
DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation. IJCAI 2019: 1459-1465 - [c5]Chen Gao, Xiangning Chen, Fuli Feng, Kai Zhao, Xiangnan He, Yong Li, Depeng Jin:
Cross-domain Recommendation Without Sharing User-relevant Data. WWW 2019: 491-502 - [i2]Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li:
Searching for Interaction Functions in Collaborative Filtering. CoRR abs/1906.12091 (2019) - 2018
- [i1]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin:
Learning Recommender Systems from Multi-Behavior Data. CoRR abs/1809.08161 (2018) - 2017
- [c4]Xiangning Chen, Chunqing Li, Wenbo Hu, Jia Tang:
Research on RBF neural network in simulation of MBR membrane pollution simulation. ICIS 2017: 387-390 - 2016
- [c3]Jain-Shing Wu, Xiangning Chen, Tian-Hsiang Huang:
Discovering the Hidden Connections between Genes and Proteins from the Undiscovered Public Literature. MISNC 2016: 46
2000 – 2009
- 2009
- [j1]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:
A multi-dimensional evidence-based candidate gene prioritization approach for complex diseases-schizophrenia as a case. Bioinform. 25(19): 2595-2602 (2009) - 2001
- [c2]Xiangning Chen, Shixin Cheng, Wei Lu:
The cell structure of the next generation ATM. ICC 2001: 79-83 - [c1]Hai Jiang, Shixin Cheng, Xiangning Chen:
TCP Reno and Vegas performance in wireless ad hoc networks. ICC 2001: 132-136
Coauthor Index
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last updated on 2024-08-05 21:23 CEST by the dblp team
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