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Wei Dai
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Wei Dai 0001 — Imperial College London, Department of Electrical and Electronic Engineering, UK (and 2 more)
- Wei Dai 0002 — Agora.io, Inc. (and 1 more)
- Wei Dai 0003 — Petuum Inc., Pittsburgh, PA, USA (and 1 more)
- Wei Dai 0004 — China University of Mining Technology, School of Information and Electrical Engineering, Xuzhou, China (and 1 more)
- Wei Dai 0005 — Beihang University, School of Reliability and System Engineering, Beijing, China
- Wei Dai 0006 — New York University School of Medicine, NY, USA (and 1 more)
- Wei Dai 0007 — Microsoft Research, Redmond, WA, USA (and 1 more)
- Wei Dai 0008 — University of California, Santa Barbara, USA
- Wei Dai 0009 — Victoria University, Melbourne, Australia
- Wei Dai 0010 — University of California Irvine, Irvine, CA, USA
- Wei Dai 0011 — University of California, San Diego, USA
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2020 – today
- 2024
- [j140]Wei Dai, Xinhui Li, Wenxin Ji, Sicheng He:
Network Intrusion Detection Method Based on CNN-BiLSTM-Attention Model. IEEE Access 12: 53099-53111 (2024) - [j139]Shuai Lv, Shujie Liu, Hongkun Li, Yu Wang, Gengshuo Liu, Wei Dai:
A hybrid method combining Lévy process and neural network for predicting remaining useful life of rotating machinery. Adv. Eng. Informatics 61: 102490 (2024) - [j138]Gulam Sarwar Chuwdhury, Yunshan Guo, Chi-Leung Chiang, Ka-On Lam, Ngar-Woon Kam, Zhonghua Liu, Wei Dai:
ImmuneMirror: A machine learning-based integrative pipeline and web server for neoantigen prediction. Briefings Bioinform. 25(2) (2024) - [j137]Yinghao Yao, Jiaying Yang, Haojun Sun, Hengte Kong, Sheng Wang, Ke Xu, Wei Dai, Siyi Jiang, Qingshi Bai, Shilai Xing, Jian Yuan, Xinting Liu, Fan Lu, Zhenhui Chen, Jia Qu, Jianzhong Su:
DeepGraFT: A novel semantic segmentation auxiliary ROI-based deep learning framework for effective fundus tessellation classification. Comput. Biol. Medicine 169: 107881 (2024) - [j136]Tianyi Wu, Ke Shang, Wei Dai, Min Wang, Rui Liu, Junxian Zhou, Jun Liu:
High-resolution cross-scale transformer: A deep learning model for bolt loosening detection based on monocular vision measurement. Eng. Appl. Artif. Intell. 133: 108574 (2024) - [j135]Fangxu Chen, Wei Peng, Wei Dai, Shoulin Wei, Xiaodong Fu, Li Liu, Lijun Liu:
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration. Health Inf. Sci. Syst. 12(1): 12 (2024) - [j134]Wankang Zeng, Ming Cheng, Zhimin Yuan, Wei Dai, Youming Wu, Weiquan Liu, Cheng Wang:
Domain adaptive remote sensing image semantic segmentation with prototype guidance. Neurocomputing 580: 127484 (2024) - [j133]Wei Dai, Jiang Liu, Lanhao Wang:
Cloud ensemble learning for fault diagnosis of rolling bearings with stochastic configuration networks. Inf. Sci. 658: 119991 (2024) - [j132]Wei Dai, Tianyi Wu, Rui Liu, Min Wang, Jianqin Yin, Jun Liu:
Any region can be perceived equally and effectively on rotation pretext task using full rotation and weighted-region mixture. Neural Networks 176: 106350 (2024) - [j131]Dece Pan, Youming Wu, Wei Dai, Tian Miao, Wenchao Zhao, Xin Gao, Xian Sun:
TAG-Net: Target Attitude Angle-Guided Network for Ship Detection and Classification in SAR Images. Remote. Sens. 16(6): 944 (2024) - [j130]Wei Dai, Zhi Hao Quek, Kin Huat Low:
Probabilistic modeling and reasoning of conflict detection effectiveness by tracking systems towards safe urban air mobility operations. Reliab. Eng. Syst. Saf. 244: 109908 (2024) - [j129]Xiaoli Zhang, Jialei Nie, Shoulin Wei, Guifu Zhu, Wei Dai, Can Yang:
A Study of Classroom Behavior Recognition Incorporating Super-Resolution and Target Detection. Sensors 24(17): 5640 (2024) - [j128]Rui Liu, Yudi Zhu, Cong Wu, Hao Guo, Wei Dai, Tianyi Wu, Min Wang, Wen Jung Li, Jun Liu:
Interactive Dual Network With Adaptive Density Map for Automatic Cell Counting. IEEE Trans Autom. Sci. Eng. 21(4): 6731-6743 (2024) - [j127]Dece Pan, Xin Gao, Wei Dai, Jiamei Fu, Zhirui Wang, Xian Sun, Youming Wu:
SRT-Net: Scattering Region Topology Network for Oriented Ship Detection in Large-Scale SAR Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j126]Wei Dai, Rui Liu, Tianyi Wu, Min Wang, Jianqin Yin, Jun Liu:
Deeply Supervised Skin Lesions Diagnosis With Stage and Branch Attention. IEEE J. Biomed. Health Informatics 28(2): 719-729 (2024) - [j125]Rui Liu, Wei Dai, Cong Wu, Tianyi Wu, Min Wang, Junxian Zhou, Xiaozhen Zhang, Wen Jung Li, Jun Liu:
Deep Learning-Based Microscopic Cell Detection Using Inverse Distance Transform and Auxiliary Counting. IEEE J. Biomed. Health Informatics 28(10): 6092-6104 (2024) - [j124]Wei Peng, Zhengnan Zhou, Wei Dai, Ning Yu, Jianxin Wang:
Multi-Network Graph Contrastive Learning for Cancer Driver Gene Identification. IEEE Trans. Netw. Sci. Eng. 11(4): 3430-3440 (2024) - [j123]Yuanfang Chi, Wei Dai, Yuan Fan, Jun Ruan, Kai Hwang, Wei Cai:
Total cost ownership optimization of private clouds: a rack minimization perspective. Wirel. Networks 30(5): 3855-3869 (2024) - [c128]Zehua Cheng, Wei Dai, Jiahao Sun:
Multi-modal Feature Fusion Networks for GeoLifeCLEF 2024. CLEF (Working Notes) 2024: 2009-2015 - [c127]Yiming Zhou, Wei Dai:
A Proximal Algorithm for Optimizing Compositions of Quadratic Plus Nonconvex Nonsmooth Functions. EUSIPCO 2024: 2627-2631 - [c126]Zhengang Guo, Wei Dai:
Joint Multi-Band DOA Estimation Using Low-Rank Matrix Recovery. ICASSP 2024: 8466-8470 - [c125]Ziyu Zhou, Wei Dai:
Multispectral RF Imaging Using Multiple Narrow-Band FMCW Signals. ICASSP 2024: 8741-8745 - [c124]Xi Yao, Wei Dai:
Accelerated Recovery of Spectrally Sparse Signals Viamodified Proximal Gradient in Hankel Space. ICASSP 2024: 9476-9480 - [c123]Wei Dai, Zixuan Wu, Jiaqi Wang, Rui Liu, Min Wang, Tianyi Wu, Junxian Zhou, Zhuoran Zhang, Jun Liu:
Automated Non-invasive Analysis of Motile Sperms Using Cross-scale Guidance Network. ICRA 2024: 17708-17714 - [c122]Wei Dai, Zixuan Wu, Rui Liu, Junxian Zhou, Min Wang, Tianyi Wu, Jun Liu:
Sosegformer: A Cross-Scale Feature Correlated Network For Small Medical Object Segmentation. ISBI 2024: 1-4 - [c121]Wei Peng, Chuyue Chen, Wei Dai:
Patient Anticancer Drug Response Prediction Based on Single-Cell Deconvolution. ISBRA (3) 2024: 40-51 - [c120]Wei Peng, Jiangzhen Lin, Wei Dai, Gong Chen, Xiaodong Fu, Li Liu, Lijun Liu:
Hypergraph Representation Learning for Cancer Drug Response Prediction. ISBRA (2) 2024: 339-349 - [c119]Wei Peng, Zhengnan Zhou, Wei Dai, Xinping Xu, Xiaodong Fu, Li Liu, Lijun Liu:
DGCL: A Contrastive Learning Method for Predicting Cancer Driver Genes Based on Graph Diffusion. ISBRA (2) 2024: 350-359 - [c118]Wei Dai, Yinghao Yao, Hengte Kong, Zhen Ji Chen, Sheng Wang, Qingshi Bai, Haojun Sun, Yongxin Yang, Jianzhong Su:
RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation. MICCAI (1) 2024: 764-774 - [c117]Nuofan Mao, Wei Dai:
Multi-band Active Arrays for Gridless DoA and Spectral Response Sensing. SPAWC 2024: 66-70 - [i48]Wei Dai, Rui Zhang, Jinwei Liu:
P-TimeSync: A Precise Time Synchronization Simulation with Network Propagation Delays. CoRR abs/2401.01412 (2024) - [i47]Wei Dai, Rui Liu, Zixuan Wu, Tianyi Wu, Min Wang, Junxian Zhou, Yixuan Yuan, Jun Liu:
SvANet: A Scale-variant Attention-based Network for Small Medical Object Segmentation. CoRR abs/2407.07720 (2024) - [i46]Pengming Zhu, Zhiwen Zeng, Weijia Yao, Wei Dai, Huimin Lu, Zongtan Zhou:
DVRP-MHSI: Dynamic Visualization Research Platform for Multimodal Human-Swarm Interaction. CoRR abs/2408.10861 (2024) - [i45]Anthony Cioppa, Silvio Giancola, Vladimir Somers, Victor Joos, Floriane Magera, Jan Held, Seyed Abolfazl Ghasemzadeh, Xin Zhou, Karolina Seweryn, Mateusz Kowalczyk, Zuzanna Mróz, Szymon Lukasik, Michal Halon, Hassan Mkhallati, Adrien Deliège, Carlos Hinojosa, Karen Sanchez, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Adam Gorski, Albert Clapés, Andrei Boiarov, Anton Afanasiev, Artur Xarles, Atom Scott, Byoungkwon Lim, Calvin Yeung, Cristian Gonzalez, Dominic Rüfenacht, Enzo Pacilio, Fabian Deuser, Faisal Sami Altawijri, Francisco Cachón, Hankyul Kim, Haobo Wang, Hyeonmin Choe, Hyunwoo J. Kim, Il-Min Kim, Jae-Mo Kang, Jamshid Tursunboev, Jian Yang, Jihwan Hong, Jimin Lee, Jing Zhang, Junseok Lee, Kexin Zhang, Konrad Habel, Licheng Jiao, Linyi Li, Marc Gutiérrez-Pérez, Marcelo Ortega, Menglong Li, Milosz Lopatto, Nikita Kasatkin, Nikolay Nemtsev, Norbert Oswald, Oleg Udin, Pavel Kononov, Pei Geng, Saad Ghazai Alotaibi, Sehyung Kim, Sergei Ulasen, Sergio Escalera, Shanshan Zhang, Shuyuan Yang, Sunghwan Moon, Thomas B. Moeslund, Vasyl Shandyba, Vladimir Golovkin, Wei Dai, WonTaek Chung, Xinyu Liu, Yongqiang Zhu, Youngseo Kim, Yuan Li, Yuting Yang, Yuxuan Xiao, Zehua Cheng, Zhihao Li:
SoccerNet 2024 Challenges Results. CoRR abs/2409.10587 (2024) - [i44]Wei Dai, Diya Kafle, Brian Miller:
Analyzing School Shootings in the US with Statistical Learning. CoRR abs/2410.00394 (2024) - [i43]Wei Dai, Peng Fu, Chunjing Gan:
Advancing Academic Knowledge Retrieval via LLM-enhanced Representation Similarity Fusion. CoRR abs/2410.10455 (2024) - [i42]Zekun Jiang, Wei Dai, Qu Wei, Ziyuan Qin, Kang Li, Le Zhang:
EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting. CoRR abs/2410.17343 (2024) - 2023
- [j122]Changpeng Ji, Qiang Zhao, Yuanhai Yu, Wei Dai:
Detection of Weak Signals Under Low SNR Stochastic Resonance System. IEEE Access 11: 101881-101889 (2023) - [j121]Fang Gao, Guojian Wu, Suhang Guo, Wei Dai, Feng Shuang:
Solving DC power flow problems using quantum and hybrid algorithms. Appl. Soft Comput. 137: 110147 (2023) - [j120]Xin Liu, Sicheng Lou, Wei Dai:
Further results on "System identification of nonlinear state-space models". Autom. 148: 110760 (2023) - [j119]Wei Peng, Rong Wu, Wei Dai, Ning Yu:
Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism. BMC Bioinform. 24(1): 16 (2023) - [j118]Yuheng Li, Mladen Rakovic, Wei Dai, Jionghao Lin, Hassan Khosravi, Kirsten Galbraith, Kayley M. Lyons, Dragan Gasevic, Guanliang Chen:
Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education. Comput. Educ. Artif. Intell. 5: 100157 (2023) - [j117]Wei Peng, Tielin Chen, Hancheng Liu, Wei Dai, Ning Yu, Wei Lan:
Improving drug response prediction based on two-space graph convolution. Comput. Biol. Medicine 158: 106859 (2023) - [j116]Yu Wu, Shuting Xu, Wei Dai, Liyang Lin:
Heuristic position allocation methods for forming multiple UAV formations. Eng. Appl. Artif. Intell. 118: 105654 (2023) - [j115]Conglei Zhang, Yanying Wang, Zhiguo Zhang, Wei Dai:
Homotopy and Hom Construction in the Category of Finite Hypergraphs. Graphs Comb. 39(4): 78 (2023) - [j114]Yanru Ding, Yanmei Zhang, Guan Yuan, Shujuan Jiang, Wei Dai:
Progress on class integration test order generation approaches: A systematic literature review. Inf. Softw. Technol. 156: 107133 (2023) - [j113]Qiwei Yu, Yaping Dai, Kaoru Hirota, Shuai Shao, Wei Dai:
Shuffle Graph Convolutional Network for Skeleton-Based Action Recognition. J. Adv. Comput. Intell. Intell. Informatics 27(5): 790-800 (2023) - [j112]Ya Gu, Wei Dai, Quanmin Zhu, Hassan Nouri:
Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise. J. Comput. Appl. Math. 420: 114794 (2023) - [j111]Yanru Ding, Yanmei Zhang, Guan Yuan, Shujuan Jiang, Wei Dai, Yinghui Zhang:
Integration test order generation based on reinforcement learning considering class importance. J. Syst. Softw. 205: 111823 (2023) - [j110]Javid Dadashkarimi, Amin Karbasi, Qinghao Liang, Matthew Rosenblatt, Stephanie Noble, Maya Foster, Raimundo X. Rodriguez, Brendan Adkinson, Jean Ye, Huili Sun, Chris Camp, Michael Farruggia, Link Tejavibulya, Wei Dai, Rongtao Jiang, Angeliki Pollatou, Dustin Scheinost:
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available. Medical Image Anal. 88: 102864 (2023) - [j109]Chenyang Jiang, Shaocheng Tong, Wei Dai:
Fuzzy adaptive event-triggered output feedback control of electro-hydraulic system. Neural Comput. Appl. 35(20): 14885-14896 (2023) - [j108]Matthew Rosenblatt, Raimundo X. Rodriguez, Margaret L. Westwater, Wei Dai, Corey Horien, Abigail S. Greene, R. Todd Constable, Stephanie Noble, Dustin Scheinost:
Connectome-based machine learning models are vulnerable to subtle data manipulations. Patterns 4(7): 100756 (2023) - [j107]Lanhao Wang, Hongdong Hu, Zhaopeng Li, Wei Dai:
Splitting ore from X-ray image based on improved robust concave-point algorithm. PeerJ Comput. Sci. 9: e1263 (2023) - [j106]Yuanyuan Liu, Jiyao Peng, Wei Dai, Jiabei Zeng, Shiguang Shan:
Joint spatial and scale attention network for multi-view facial expression recognition. Pattern Recognit. 139: 109496 (2023) - [j105]Dong Wang, Yongjia Zheng, Wei Dai, Ding Tang, Yinghong Peng:
Deep Network-Assisted Quality Inspection of Laser Welding on Power Battery. Sensors 23(21): 8894 (2023) - [j104]Sa Wang, Wei Dai, Enke Wang, Xin-Nian Wang, Ben-Wei Zhang:
Heavy-Flavour Jets in High-Energy Nuclear Collisions. Symmetry 15(3): 727 (2023) - [j103]Wei Peng, Ming Liu, Wei Dai, Tielin Chen, Yu Fu, Yi Pan:
Multi-View Feature Aggregation for Predicting Microbe-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2748-2758 (2023) - [j102]Wei Peng, Zicheng Che, Wei Dai, Shoulin Wei, Wei Lan:
Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3363-3375 (2023) - [j101]Hengkui Cao, Zhiguo Zhang, Richard David Evans, Wei Dai, Qiqing Bi, Zhichao Zhu, Juan Xu, Lining Shen:
Barriers and Enablers to the Implementation of Intelligent Guidance Systems for Patients in Chinese Tertiary Transfer Hospitals: Usability Evaluation. IEEE Trans. Engineering Management 70(8): 2634-2643 (2023) - [j100]Jinyue Chen, Youming Wu, Xin Gao, Wei Dai, Xuan Zeng, Wenhui Diao, Xian Sun:
DPFF-Net: Dual-Polarization Image Feature Fusion Network for SAR Ship Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j99]Yuxi Suo, Kun Fu, Youming Wu, Wenhui Diao, Wei Dai, Xian Sun:
A Parameter-Free Enhanced SS&E Algorithm Based on Deep Learning for Suppressing Azimuth Ambiguities. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j98]Jinze Yang, Youming Wu, Wei Dai, Wenhui Diao, Zining Zhu, Xian Sun, Kun Fu:
PW-MFL: Promoting Semantic Segmentation in Resolution-Degraded Aerial Images via Pixel-Wise Mutual-Feed Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j97]Min Wang, Jingjing Zhang, Ruomao Liu, Tianyi Wu, Wei Dai, Rui Liu, Jiachen Zhang, Jun Liu:
Liquid Metal-Based Flexible Sensor for Perception of Force Magnitude, Location, and Contacting Orientation. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j96]Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang:
BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. IEEE Trans. Medical Imaging 42(2): 493-506 (2023) - [j95]Jinghua Li, Shanyang Wei, Wei Dai:
Combination of Manifold Learning and Deep Learning Algorithms for Mid-Term Electrical Load Forecasting. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2584-2593 (2023) - [c116]Kui Xiao, Wei Dai, Yamin Li, Hongyan Li:
Collaborative Structure Learning Framework from Wikipedia Based on Heterogeneous Graph Attention Network. ASSE 2023: 89-97 - [c115]Wei Peng, Zhihao Zhang, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu:
A multi-view comparative learning method for spatial transcriptomics data clustering. BIBM 2023: 287-292 - [c114]Wei Dai, Daniel Berleant:
ASI: Accuracy-Stability Index for Evaluating Deep Learning Models. IEEE Big Data 2023: 4284-4289 - [c113]Zhengang Guo, Wei Dai:
Gridless Joint Multi-Band DOA Estimation for Spectrum Sensing. CAMSAP 2023: 311-315 - [c112]Nuofan Mao, Wei Dai:
A Multi-Band Active Array for Direction-of-Arrival Estimation. CAMSAP 2023: 341-345 - [c111]Xi Yao, Wei Dai:
A Preconditioned Hessian Proximal Algorithm for Spectral Compressed Sensing. CAMSAP 2023: 476-480 - [c110]Wei Dai, Yingmin Su, Xiaofeng Pan, Yufeng Wang, Zhenyu Zhu, Nan Xu, Chengjun Mao, Bo Cao:
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations. CIKM 2023: 3838-3842 - [c109]Jinwei Liu, Rui Gong, Wei Dai, Wei Zheng, Ying Mao, Wei Zhou, Feng Deng:
HCoop: A Cooperative and Hybrid Resource Scheduling for Heterogeneous Jobs in Clouds. CloudCom 2023: 238-245 - [c108]Deepika Natarajan, Andrew D. Loveless, Wei Dai, Ronald G. Dreslinski:
Chex-Mix: Combining Homomorphic Encryption with Trusted Execution Environments for Oblivious Inference in the Cloud. EuroS&P 2023: 73-91 - [c107]Xi Yao, Wei Dai:
A Projected Proximal Gradient Method for Efficient Recovery of Spectrally Sparse Signals. EUSIPCO 2023: 1738-1742 - [c106]Wei Dai, Siyuan Yang, Mondher Bouazizi, Tomoaki Ohtsuki:
K-Means Clustering-Aided Dynamic Multi-Cell Optimization Algorithm for HAPS. GLOBECOM 2023: 5635-5640 - [c105]Wei Dai, Jionghao Lin, Hua Jin, Tongguang Li, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen:
Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT. ICALT 2023: 323-325 - [c104]Yiying Wei, Yiyang Jiang, Wei Dai, Zhijie Yang, Ao Jiang:
General Elastic Computing Acceleration Method for Semantic Segmentation. ICCAI 2023: 139-144 - [c103]Yuchen Zhang, Lin Zou, Yiying Wei, Wei Dai:
An Improved Two-Stage Network for Steel Surface Defect Detection. ICCAI 2023: 266-272 - [c102]Daowei Chen, Hongsheng Yan, Wei Dai:
Selection of defense strategy for high-level network based on multistage APT attack-defense game. ICCNS 2023: 166-172 - [c101]Yanru Ding, Yanmei Zhang, Guan Yuan, Yingjie Li, Shujuan Jiang, Wei Dai:
A Reinforcement Learning Method for Generating Class Integration Test Orders Considering Dynamic Couplings. ICONIP (2) 2023: 95-107 - [c100]Chao Ouyang, Haijun Zhang, Xiangyu Mu, Zhou Wu, Wei Dai:
E-VarifocalNet: A Lightweight Model to Detect Insulators and Their Defects under Power Grid Surveillance. INDIN 2023: 1-6 - [c99]Liang Liu, Haixin Guan, Jinlong Ma, Wei Dai, Guangyong Wang, Shaowei Ding:
A Mask Free Neural Network for Monaural Speech Enhancement. INTERSPEECH 2023: 2468-2472 - [c98]Changpeng Ji, Feiyang Liu, Wei Dai:
Research and Signal Processing of ECG Signals Based on CEEMDAN-RLS. ISAIMS 2023: 190-196 - [c97]Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang:
Transformer-Based Hierarchical Clustering for Brain Network Analysis. ISBI 2023: 1-5 - [c96]Wei Dai, Chao Deng:
Urban Performance-Based Navigation (uPBN): Addressing the CNS Variation Problem in the Urban Airspace in the Context of UAS Traffic Management. ITSC 2023: 5524-5529 - [c95]Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gasevic, Guanliang Chen:
Learner-centred Analytics of Feedback Content in Higher Education. LAK 2023: 100-110 - [c94]Wei Dai:
Improvements on SadTalker-based Approach for ViCo Conversational Head Generation Challenge. ACM Multimedia 2023: 9566-9570 - [i41]Wei Dai, Siyu Liu, Craig B. Engstrom, Shekhar S. Chandra:
Explainable Semantic Medical Image Segmentation with Style. CoRR abs/2303.05696 (2023) - [i40]Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Sanne van Rooij, Carl Yang:
Transformer-Based Hierarchical Clustering for Brain Network Analysis. CoRR abs/2305.04142 (2023) - [i39]Liang Liu, Haixin Guan, Jinlong Ma, Wei Dai, Guangyong Wang, Shaowei Ding:
A Mask Free Neural Network for Monaural Speech Enhancement. CoRR abs/2306.04286 (2023) - [i38]Wei Dai, Jiang Liu, Lanhao Wang:
Cloud Ensemble Learning for Fault Diagnosis of Rolling Bearings with Stochastic Configuration Networks. CoRR abs/2307.00507 (2023) - [i37]Liwen Zhang, Weige Cai, Zhaowei Liu, Zhi Yang, Wei Dai, Yujie Liao, Qianru Qin, Yifei Li, Xingyu Liu, Zhiqiang Liu, Zhoufan Zhu, Anbo Wu, Xin Guo, Yun Chen:
FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models. CoRR abs/2308.09975 (2023) - [i36]Wei Dai, Yingmin Su, Xiaofeng Pan:
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations. CoRR abs/2308.10527 (2023) - [i35]Jiang Liu, Wei Dai:
Constructive Incremental Learning for Fault Diagnosis of Rolling Bearings with Ensemble Domain Adaptation. CoRR abs/2308.14983 (2023) - [i34]Wendi Ma, Marlon Bran Lorenzana, Wei Dai, Hongfu Sun, Shekhar S. Chandra:
Multi-scale MRI reconstruction via dilated ensemble networks. CoRR abs/2310.04705 (2023) - [i33]Wei Dai, Daniel Berleant:
ASI: Accuracy-Stability Index for Evaluating Deep Learning Models. CoRR abs/2311.15332 (2023) - 2022
- [j94]Changpeng Ji, Lina He, Wei Dai:
Double-Norm Constrained Image Denoising Algorithm Based on Dictionary Learning Sparsity and FCM Structure Clustering. IEEE Access 10: 128304-128317 (2022) - [j93]Hui Hwang Goh, Ronghui He, Dongdong Zhang, Hui Liu, Wei Dai, Chee Shen Lim, Tonni Agustiono Kurniawan, Kenneth Tze Kin Teo, Kai Chen Goh:
A multimodal approach to chaotic renewable energy prediction using meteorological and historical information. Appl. Soft Comput. 118: 108487 (2022) - [j92]Ying Mei, S. Wei, F. Wang, C. Wu, Rodrigo Tobar, M. Shaikh, Hui Deng, Wei Dai, Bo Liang, Andreas Wicenec:
An empirical evaluation on the applicability of the DALiuGE execution framework. Astron. Comput. 38: 100541 (2022) - [j91]Yuhan Li, Shuya Wang, Wei Dai, Liusan Wu:
Prediction of the Share of Solar Power in China Based on FGM (1, 1) Model. Axioms 11(11): 581 (2022) - [j90]Wei Peng, Qi Tang, Wei Dai, Tielin Chen:
Improving cancer driver gene identification using multi-task learning on graph convolutional network. Briefings Bioinform. 23(1) (2022) - [j89]Wei Peng, Hancheng Liu, Wei Dai, Ning Yu, Jianxin Wang:
Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions. Bioinform. 38(19): 4546-4553 (2022) - [j88]Wei Dai, Cai Li, Ting Li, Jianchang Hu, Heping Zhang:
Super-taxon in human microbiome are identified to be associated with colorectal cancer. BMC Bioinform. 23(1): 243 (2022) - [j87]Wei Dai, Samira Mohammadi, Selen Cremaschi:
A hybrid modeling framework using dimensional analysis for erosion predictions. Comput. Chem. Eng. 156: 107577 (2022) - [j86]Rui Liu, Wei Dai, Tianyi Wu, Min Wang, Song Wan, Jun Liu:
AIMIC: Deep Learning for Microscopic Image Classification. Comput. Methods Programs Biomed. 226: 107162 (2022) - [j85]Ji Liu, Zheng Xu, Yanmei Zhang, Wei Dai, Hao Wu, Shiping Chen:
Digging into primary financial market: The issues of primary financial market issuance and investigations from the perspective of blockchain. Frontiers Blockchain 5 (2022) - [j84]Wei Dai, Dayong Li, Ding Tang, Huamiao Wang, Yinghong Peng:
Deep learning approach for defective spot welds classification using small and class-imbalanced datasets. Neurocomputing 477: 46-60 (2022) - [j83]