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Ning Wu
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2020 – today
- 2024
- [j109]Xixuan Zhao, Bingzhen Sun, Ning Wu, Ru Zeng, Ruibin Geng, Zhengxu He:
A new short-term wind power prediction methodology based on linear and nonlinear hybrid models. Comput. Ind. Eng. 196: 110477 (2024) - [j108]Haitao Ma, Mengyang Yuan, Ning Wu, Yue Li, Yanan Tian:
Learning Gradient Descent to Optimize DAS Signal Estimation. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j107]Haitao Ma, Shijie Zhou, Yibo Wang, Ning Wu, Yue Li, Yanan Tian:
Improving Distributed Acoustic Sensing Data Quality With Self-Supervised Learning. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j106]Man Zhang, Juan Li, Yuxing Zhao, Yue Li, Ning Wu:
Fine-Amplitude Structure Localization Using Correlation Coefficients Between DAS VSP Data and Surface Seismic Data at the Same Interface. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j105]Zhicheng Zhong, Yi Zhao, Yue Li, Ning Wu:
The Improved Intrinsic Time-Scale Analysis for Multidimensional Signal-to-Noise Feature Separation of Borehole Seismic Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j104]Jiameng Bao, Guangming Wang, Tianyu Wang, Ning Wu, Shimin Hu, Won Hee Lee, Sio-Long Lo, Xiangguo Yan, Yang Zheng, Gang Wang:
A Feature Fusion Model Based on Temporal Convolutional Network for Automatic Sleep Staging Using Single-Channel EEG. IEEE J. Biomed. Health Informatics 28(11): 6641-6652 (2024) - [c85]Zhuoxi Bai, Ning Wu, Fengyu Cai, Xinyi Zhu, Yun Xiong:
Aligning Large Language Model with Direct Multi-Preference Optimization for Recommendation. CIKM 2024: 76-86 - [c84]Lu Zhang, Ning Wu:
HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation. CIKM 2024: 3186-3196 - [c83]Nuo Chen, Zinan Zheng, Ning Wu, Ming Gong, Dongmei Zhang, Jia Li:
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. EMNLP (Findings) 2024: 7001-7016 - [c82]Nuo Chen, Ning Wu, Jianhui Chang, Linjun Shou, Jia Li:
ControlMath: Controllable Data Generation Promotes Math Generalist Models. EMNLP 2024: 12201-12217 - [c81]Zuxiang Xie, Junyi Li, Ning Wu:
Enhancing Alignment and Uniformity of Contrastive Learning for Knowledge-based Recommendation. IJCNN 2024: 1-10 - [i15]Hanshuang Tong, Jun Li, Ning Wu, Ming Gong, Dongmei Zhang, Qi Zhang:
Ploutos: Towards interpretable stock movement prediction with financial large language model. CoRR abs/2403.00782 (2024) - [i14]Zhuoxi Bai, Ning Wu, Fengyu Cai, Xinyi Zhu, Yun Xiong:
Finetuning Large Language Model for Personalized Ranking. CoRR abs/2405.16127 (2024) - [i13]Weihao Liu, Ning Wu, Wenbiao Ding, Shining Liang, Ming Gong, Dongmei Zhang:
Towards Truthful Multilingual Large Language Models: Benchmarking and Alignment Strategies. CoRR abs/2406.14434 (2024) - [i12]Nuo Chen, Ning Wu, Jianhui Chang, Jia Li:
ControlMath: Controllable Data Generation Promotes Math Generalist Models. CoRR abs/2409.15376 (2024) - 2023
- [j103]Yan Deng, Ning Wu, Chengjun Qiu, Yangyang Luo, Yan Chen:
MixGAN-TTS: Efficient and Stable Speech Synthesis Based on Diffusion Model. IEEE Access 11: 57674-57682 (2023) - [j102]Zihan Wei, Ning Wu, Fengxia Li, Ke Wang, Wei Zhang:
MoCo4SRec: A momentum contrastive learning framework for sequential recommendation. Expert Syst. Appl. 223: 119911 (2023) - [j101]Zhixiong Zhang, Xueyun Ye, Ning Wu, Yun Cheng, Naizhong Xu:
Teaching Quality Evaluation of Engineering Cost Courses Based on Fuzzy Analytic Hierarchy Process. Int. J. Emerg. Technol. Learn. 18(4): 86-103 (2023) - [j100]Yan Deng, Ning Wu, Chengjun Qiu, Yan Chen, Xueshan Gao:
Research on Speech Synthesis Based on Mixture Alignment Mechanism. Sensors 23(16): 7283 (2023) - [j99]Haitao Ma, Jingye Yu, Yibo Wang, Ning Wu, Yue Li:
A Global and Multiscale Denoising Method Based on Generative Adversarial Network for DAS VSP Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j98]Yuxing Zhao, Yue Li, Ning Wu, Shengnan Wang:
Self-Supervised Denoising for Distributed Acoustic Sensing Vertical Seismic Profile Data via Improved Blind Spot Network. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j97]Guangming Wang, Ning Wu, Yi Tao, Won Hee Lee, Zehong Cao, Xiangguo Yan, Gang Wang:
The Diagnosis of Major Depressive Disorder Through Wearable fNIRS by Using Wavelet Transform and Parallel-CNN Feature Fusion. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j96]Ning Wu, Honglei Qin, Chao Zhao:
Long-Baseline Differential Doppler Positioning Using Space-Based SOP Based on BPVGMM. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j95]Chao Zhao, Honglei Qin, Ning Wu, Danyao Wang:
Analysis of Baseline Impact on Differential Doppler Positioning and Performance Improvement Method for LEO Opportunistic Navigation. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c80]Li Li, Ziwen Wang, Xingyu Liu, Ning Wu, Tongyao Jia:
SDN multi-controller deployment algorithm based on particle swarm optimization. AIPR 2023: 984-989 - [c79]Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang:
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CIKM 2023: 4871-4878 - [c78]Xiaorui Wu, Xiaoyu Zhu, Jing Xiao, Yuhong Mo, Wenlan Gong, Ning Wu:
A Combined Topology of EV Wireless Charging System to Achieve Dual Parking Power Allocation. CIPAE 2023: 13-18 - [c77]Xiaorui Wu, Jiatian Liang, Jing Xiao, Wenlan Gong, Yuhong Mo, Ning Wu:
Implementing a Wide Frequency Range Tightly Coupled Wireless Charging System Using Hybrid Topology. CIPAE 2023: 19-24 - [c76]Jingxue Zhang, Ning Wu, Changchun Yang:
NExtGCN: Modeling Node Importance of Graph Convolution Network by Neighbor Excitation for Recommendation. DEXA (2) 2023: 325-330 - [c75]Jiujiu Yu, Jishan Zhang, Li Liu, Chao Jiang, Ning Wu, Zhuqin Huang:
Agile Design and Implementation of a "Snake Game" Based on Android Platform. EITCE 2023: 1333-1338 - [c74]Ning Wu, Li Li, Xingyu Liu, Ziwen Wang, Tongyao Jia:
Enhancing UAV Swarm Routing with Multi-Agent Attention Reinforcement Learning. ICCNS 2023: 258-264 - [c73]Yuhong Mo, Jing Xiao, Xiaorui Wu, Wenlan Gong, Ning Wu:
Parameter Design Method for Series-series Compensated Wireless Power Transfer System Based on Natural Frequency Tracking. ICISCAE 2023: 170-173 - [c72]Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang:
Large Language Models are Diverse Role-Players for Summarization Evaluation. NLPCC (1) 2023: 695-707 - [i11]Tao Yang, Chuang Liu, Xiaofeng Ma, Weijia Lu, Ning Wu, Bingyang Li, Zhifei Yang, Peng Liu, Lin Sun, Xiaodong Zhang, Can Zhang:
Indeterminate Probability Neural Network. CoRR abs/2303.11536 (2023) - [i10]Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang:
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. CoRR abs/2303.14979 (2023) - [i9]Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang:
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. CoRR abs/2303.14991 (2023) - [i8]Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang:
Large Language Models are Diverse Role-Players for Summarization Evaluation. CoRR abs/2303.15078 (2023) - [i7]Lu Zhang, Ning Wu:
HGCC: Enhancing Hyperbolic Graph Convolution Networks on Heterogeneous Collaborative Graph for Recommendation. CoRR abs/2304.02961 (2023) - [i6]Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang:
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CoRR abs/2309.10469 (2023) - [i5]Nuo Chen, Zinan Zheng, Ning Wu, Linjun Shou, Ming Gong, Yangqiu Song, Dongmei Zhang, Jia Li:
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. CoRR abs/2310.20246 (2023) - [i4]Nuo Chen, Ning Wu, Shining Liang, Ming Gong, Linjun Shou, Dongmei Zhang, Jia Li:
Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers. CoRR abs/2312.04333 (2023) - 2022
- [j94]Ning Wu, Huan Yu, Mingze Xu:
Alteration of brain nuclei in obese children with and without Prader-Willi syndrome. Frontiers Neuroinformatics 16 (2022) - [j93]Xianbao Cheng, Liucun Zhu, Huihui Lu, Jinzhan Wei, Ning Wu:
Robot Path Planning Based on an Improved Salp Swarm Algorithm. J. Sensors 2022: 1-16 (2022) - [j92]Xintong Dong, Yue Li, Tie Zhong, Ning Wu, Hongzhou Wang:
Random and Coherent Noise Suppression in DAS-VSP Data by Using a Supervised Deep Learning Method. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j91]Mo Li, Yue Li, Yanan Tian, Ning Wu:
Desert Seismic Signal Denoising Based on Unsupervised Feature Learning and Time-Frequency Transform Technique. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j90]Yue Li, Xinming Luo, Ning Wu, Xintong Dong:
The Application of Semisupervised Attentional Generative Adversarial Networks in Desert Seismic Data Denoising. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j89]Haitao Ma, Yu Sun, Ning Wu, Yue Li:
Relative Attributes-Based Generative Adversarial Network for Desert Seismic Noise Suppression. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j88]Yanan Tian, Ting Lin, Yue Li, Ning Wu:
Efficient SPSNet for Downhole Weak DAS Signals Recovery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j87]Yuxing Zhao, Yue Li, Ning Wu:
Coupled Noise Reduction in Distributed Acoustic Sensing Seismic Data Based on Convolutional Neural Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j86]Lirui Hu, Ning Wu, Xiao Li:
Feature Nonlinear Transformation Non-Negative Matrix Factorization with Kullback-Leibler Divergence. Pattern Recognit. 132: 108906 (2022) - [j85]Chunya Wang, Jinniu Wang, Niyati Naudiyal, Ning Wu, Xia Cui, Yanqiang Wei, Qingtao Chen:
Multiple Effects of Topographic Factors on Spatio-Temporal Variations of Vegetation Patterns in the Three Parallel Rivers Region, Southeast Qinghai-Tibet Plateau. Remote. Sens. 14(1): 151 (2022) - [j84]Anas Bilal, Liucun Zhu, Anan Deng, Huihui Lu, Ning Wu:
AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning. Symmetry 14(7): 1427 (2022) - [j83]Yue Li, Man Zhang, Yuxing Zhao, Ning Wu:
Distributed Acoustic Sensing Vertical Seismic Profile Data Denoising Based on Multistage Denoising Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j82]Yanan Tian, Jilei Sui, Yue Li, Ning Wu, Dan Shao:
A Novel Iterative PA-MRNet: Multiple Noise Suppression and Weak Signals Recovery for Downhole DAS Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j81]Ning Wu, Tong Xing, Yue Li:
Multi-Scale Progressive Fusion Attention Network Based on Small Sample Training for DAS Noise Suppression. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j80]Yuxing Zhao, Yue Li, Ning Wu:
Distributed Acoustic Sensing Vertical Seismic Profile Data Denoiser Based on Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j79]Tie Zhong, Ming Cheng, Xintong Dong, Ning Wu:
Seismic Random Noise Attenuation by Applying Multiscale Denoising Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j78]Jiangdian Song, Shih-Cheng Huang, Brendan Kelly, Guanqun Liao, Jingyun Shi, Ning Wu, Weimin Li, Zaiyi Liu, Lei Cui, Matthew P. Lungren, Michael E. Moseley, Peng Gao, Jie Tian, Kristen W. Yeom:
Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation. IEEE J. Biomed. Health Informatics 26(6): 2570-2581 (2022) - [j77]Jingyuan Wang, Ning Wu, Wayne Xin Zhao:
Personalized Route Recommendation With Neural Network Enhanced Search Algorithm. IEEE Trans. Knowl. Data Eng. 34(12): 5910-5924 (2022) - [c71]Jiujiu Yu, Jishan Zhang, Yanxing Yu, Ning Wu, Wenling Sun, Yingying Mei, Canglu Zhu:
Design of Lightweight Human Resource Management System Based on Scrum. EITCE 2022: 1166-1170 - [c70]Zhaomin Zhu, Lin Lu, Ning Wu:
Sales Demand Forecast based on Recurrent Neural Network∗. EITCE 2022: 1614-1618 - [c69]Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang:
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. EMNLP (Findings) 2022: 444-459 - [c68]Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang:
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. EMNLP 2022: 3107-3121 - [c67]Kaiyu Zhao, Fang Zhou, Ning Wu, Jin Zhao, Fen Ge:
The Design of a Novel Hardware Trojan without Inactive Signal for AES. ICCT 2022: 1159-1163 - [c66]Zhixiang Xu, Ning Wu, Fang Zhou, Fen Ge:
A Defense Method Against Persistent Fault Attack. ICCT 2022: 1323-1327 - [c65]Ziyu Li, Fen Ge, Fang Zhou, Ning Wu:
An A3C Deep Reinforcement Learning FPGA Accelerator based on Heterogeneous Compute Units. ICCT 2022: 1521-1525 - [c64]Xinyu Wang, Ning Wu, Fang Zhou, Fen Ge:
Efficient Configurable Digit-Serial Multiplier Based on Improved Karatsuba Algorithm over GF(2m). ICCT 2022: 1531-1535 - [c63]Xin Yue, Fen Ge, Fang Zhou, Ning Wu, Yi Zhang:
A Hybrid CNN Compression Approach for Hardware Acceleration. ICCT 2022: 1546-1550 - [c62]Wang Han, Ning Wu, Fang Zhou, Fen Ge:
Reconfigurable Multi-algorithm Neural Network Accelerator Based on Target Detection. ICCT 2022: 1555-1559 - [c61]Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang:
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. IJCAI 2022: 4411-4417 - [i3]Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang:
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. CoRR abs/2206.03281 (2022) - 2021
- [j76]Shaonan Chen, Xiaoxuan Guo, Shuai Han, Jing Xiao, Ning Wu:
A Novel Stochastic Cloud Model for Statistical Characterization of Wind Turbine Output. IEEE Access 9: 7439-7446 (2021) - [j75]Zhewen Liao, Hongli Zhang, Kun Guo, Ning Wu:
A Network Approach to the Study of the Dynamics of Risk Spillover in China's Bond Market. Entropy 23(7): 920 (2021) - [j74]Yue Li, Yuying Wang, Ning Wu:
Noise suppression method based on multi-scale Dilated Convolution Network in desert seismic data. Comput. Geosci. 156: 104910 (2021) - [j73]Lili Shen, Ning Wu, Gaizhen Yan, Fen Ge:
Collaborative thermal- and traffic-aware adaptive routing scheme for 3D network-on-chip systems. IEICE Electron. Express 18(4): 20200425 (2021) - [j72]Fang Zhou, Caixian Fei, Ning Wu, Fen Ge:
Highly efficient architecture of elliptic curve scalar multiplication with fault tolerance over GF(2m). IEICE Electron. Express 18(11): 20210160 (2021) - [j71]Yuchen Xie, Wei Wu, Haiping Yang, Ning Wu, Ying Shen:
Detail Information Prior Net for Remote Sensing Image Pansharpening. Remote. Sens. 13(14): 2800 (2021) - [j70]Shengnan Wang, Yue Li, Ning Wu, Yuxing Zhao, Haiyang Yao:
Attribute-Based Double Constraint Denoising Network for Seismic Data. IEEE Trans. Geosci. Remote. Sens. 59(6): 5304-5316 (2021) - [j69]Jingyuan Wang, Ning Wu, Xinxi Lu, Wayne Xin Zhao, Kai Feng:
Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter. IEEE Trans. Knowl. Data Eng. 33(3): 921-934 (2021) - [j68]Muhammad Rehan Yahya, Ning Wu, Zain Anwar Ali, Yasir Khizar:
Optical Versus Electrical: Performance Evaluation of Network On-Chip Topologies for UWASN Manycore Processors. Wirel. Pers. Commun. 116(2): 963-991 (2021) - [c60]Ning Wu, Yunfeng Zou, Chao Shan:
A Frequent Itemset Mining Method Based on Local Differential Privacy. WISA 2021: 225-236 - [c59]Yunfeng Zou, Ning Wu, Chao Shan, Chao Xu:
Differentially Private Node Similarity Matrix Release for Large-Scale Social Networks. ICCCS 2021: 199-204 - [c58]Jin Wen, Ning Wu, Fen Ge, Fang Zhou, Zhixiang Xu, Benjun Zhang:
An Anti-DPA Elliptic Curve Cryptography Scalar Multiplier with Randomized Base Point. ICCT 2021: 100-104 - [c57]Tong Lu, Fang Zhou, Ning Wu, Fen Ge, Benjun Zhang:
Hardware Trojan Detection Method for Gate-Level Netlists Based on the Idea of Few-Shot Learning. ICCT 2021: 301-305 - [c56]Chenchen Cui, Fen Ge, Ziyu Li, Xin Yue, Fang Zhou, Ning Wu:
Design and Implementation of OpenCL-Based FPGA Accelerator for YOLOv2. ICCT 2021: 1004-1007 - [c55]Ying Yang, Fen Ge, Danfeng Qiu, Xin Yue, Ziyu Li, Fang Zhou, Ning Wu:
Implementation of Reconfigurable CNN-LSTM Accelerator Based on FPGA. ICCT 2021: 1026-1030 - [c54]Ning Wu, Zhe Liu:
Phase-Preserving Ambiguity Removal of Staggered SAR Image Based on Pixel-Wise Reinforcement Learning. IGARSS 2021: 5127-5130 - [c53]Houxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu:
RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation. KDD 2021: 3503-3511 - 2020
- [j67]Zhe Liu, Ning Wu, Xingxing Liao:
SAR Image Restoration From Spectrum Aliasing by Deep Learning. IEEE Access 8: 40367-40377 (2020) - [j66]Lei Zhang, Ning Wu, Fen Ge, Fang Zhou, Mahammad Rehan Yahya:
A Dynamic Branch Predictor Based on Parallel Structure of SRNN. IEEE Access 8: 86230-86237 (2020) - [j65]Jing Xiao, Xiaoxuan Guo, Yubin Feng, Haibo Bao, Ning Wu:
Leader-Following Consensus of Stochastic Perturbed Multi-Agent Systems via Variable Impulsive Control and Comparison System Method. IEEE Access 8: 113183-113191 (2020) - [j64]Xiaoshu Zan, Zhikai Jiang, Kai Ni, Wenyuan Zhang, Yi Gong, Ning Wu:
Modular Battery Management for SRM Drives in Hybrid Vehicles Based on a Novel Modular Converter. IEEE Access 8: 136296-136306 (2020) - [j63]Wentao Xu, Ning Wu, Fen Ge:
Minimizing the number of wavelengths in a cluster WDM mesh-based ONoC through application-specific mapping. IEICE Electron. Express 17(6): 20200045 (2020) - [j62]Xiaoqiang Zhang, Xinggan Zhang, Lan Tang, Xinxing Zheng, Tianming Ni, Ning Wu:
A low critical path delay structure for composite field AES S-box based on constant matrices multiplication merging. IEICE Electron. Express 17(7): 20200035 (2020) - [j61]Xiaoqiang Zhang, Fan Yang, Xinxing Zheng, Xinggan Zhang, Ning Wu:
A full matrix joint optimization method for hardware implementation of AES MixColumns/InvMixColumns. IEICE Electron. Express 17(24): 20200391 (2020) - [j60]Ning Wu, Zhongliang Yang, Yi Yang, Lian Li, Poli Shang, Weibo Ma, Zhenru Liu:
STBS-Stega: Coverless text steganography based on state transition-binary sequence. Int. J. Distributed Sens. Networks 16(3) (2020) - [j59]Jeng-Shyang Pan, Qing-Wei Chai, Shu-Chuan Chu, Ning Wu:
3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm. Sensors 20(8): 2411 (2020) - [c52]Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. EMNLP (1) 2020: 6008-6018 - [c51]Liangkai Zhao, Ning Wu, Fen Ge, Fang Zhou, Jiahui Zhang, Tong Lu:
Small Area Configurable Deep Neural Network Accelerator for IoT System. ICCT 2020: 795-799 - [c50]Yayue Zhao, Fen Ge, Chenchen Cui, Fang Zhou, Ning Wu:
A Mapping Method for Convolutional Neural Networks on Network-on-Chip. ICCT 2020: 916-920 - [c49]Liang Han, Ning Wu, Fen Ge, Fang Zhou, Jin Wen, Peiyao Qing:
Differential Fault Attack for the Iterative Operation of AES-192 Key Expansion. ICCT 2020: 1156-1160 - [c48]Caixian Fei, Fang Zhou, Ning Wu, Fen Ge, Jin Wen, Peiyao Qin:
A Scalable Bit-Parallel Word-Serial Multiplier with Fault Detection on GF(2^m). ICCT 2020: 1660-1664 - [c47]Weifeng Zhang, Fen Ge, Chenchen Cui, Ying Yang, Fang Zhou, Ning Wu:
Design and Implementation of LSTM Accelerator Based on FPGA. ICCT 2020: 1675-1679 - [c46]Ning Wu, Mingming Xu, Kun Li, Zhe Liu:
Removement of Staggered SAR Ambiguity in Low-Oversampling by Deep Learning. IGARSS 2020: 1532-1535 - [c45]Ning Wu, Yanping Cao, Zhuo Chen, Yifan Zhu:
Limitation of on Big Data or Nature Language Processing based algorithm for Clinical Decision Artificial Intelligence. ISAIMS 2020: 161-165 - [c44]Ning Wu, Wayne Xin Zhao, Jingyuan Wang, Dayan Pan:
Learning Effective Road Network Representation with Hierarchical Graph Neural Networks. KDD 2020: 6-14 - [i2]Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation. CoRR abs/2004.01401 (2020)
2010 – 2019
- 2019
- [j58]Muhammad Rehan Yahya, Ning Wu, Gaizhen Yan, Tanveer Ahmed, Yasir, Jinbao Zhang:
An Algorithmic Framework to Construct Optical Switch via Scaling From N-to-2N Ports for Optical Network on Chip. IEEE Access 7: 101427-101440 (2019) - [j57]