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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.
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Other persons with the same name
- Wei Dai 0001
![[0000-0002-4781-3485]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4781-3485")
— 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 — Worcester Polytechnic Institute, MA, USA
- 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
- 2023
[j108]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)- [j107]Xin Liu, Sicheng Lou, Wei Dai:
Further results on "System identification of nonlinear state-space models". Autom. 148: 110760 (2023) - [j106]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) - [j105]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) - [j104]Yu Wu, Shuting Xu, Wei Dai, Liyang Lin:
Heuristic position allocation methods for forming multiple UAV formations. Eng. Appl. Artif. Intell. 118: 105654 (2023) - [j103]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) - [j102]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) - [j101]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) - [j100]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) - [j99]Ruoyu Liao, Yihai He, Tianyu Feng, Xiuzhen Yang, Wei Dai, Weifang Zhang:
Mission reliability-driven risk-based predictive maintenance approach of multistate manufacturing system. Reliab. Eng. Syst. Saf. 236: 109273 (2023) - [j98]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) - [j97]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) - [j96]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) - [j95]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) - [j94]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) - [c101]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 - [i47]Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim:
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. CoRR abs/2301.02344 (2023) - [i46]Wei Dai, Siyu Liu, Craig B. Engstrom, Shekhar S. Chandra:
Explainable Semantic Medical Image Segmentation with Style. CoRR abs/2303.05696 (2023) - [i45]Shangyu Xie, Wei Dai, Esha Ghosh, Sambuddha Roy, Dan Schwartz, Kim Laine:
Does Prompt-Tuning Language Model Ensure Privacy? CoRR abs/2304.03472 (2023) - [i44]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) - 2022
- [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [j86]Wei Dai, Samira Mohammadi, Selen Cremaschi:
A hybrid modeling framework using dimensional analysis for erosion predictions. Comput. Chem. Eng. 156: 107577 (2022) - [j85]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) - [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]Dong Wang, Wei Dai, Ding Tang, Yan Liang, Jing Ouyang, Huamiao Wang, Yinghong Peng:
Deep learning approach for bubble segmentation from hysteroscopic images. Medical Biol. Eng. Comput. 60(6): 1613-1626 (2022) - [j82]Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Craig Engstrom, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra:
CAN3D: Fast 3D medical image segmentation via compact context aggregation. Medical Image Anal. 82: 102562 (2022) - [j81]Wei Dai, Jiahui Li, Qi Li, Jiasheng Cai, Jianzhong Su, Christopher Stubenrauch, Jiawei Wang:
PncsHub: a platform for annotating and analyzing non-classically secreted proteins in Gram-positive bacteria. Nucleic Acids Res. 50(D1): 848-857 (2022) - [j80]Xinyu Wang, Haixia Xu, Liming Yuan, Wei Dai, Xianbin Wen:
A Remote-Sensing Scene-Image Classification Method Based on Deep Multiple-Instance Learning with a Residual Dense Attention ConvNet. Remote. Sens. 14(20): 5095 (2022) - [j79]Bizhao Pang, Xinting Hu, Wei Dai, Kin Huat Low:
UAV path optimization with an integrated cost assessment model considering third-party risks in metropolitan environments. Reliab. Eng. Syst. Saf. 222: 108399 (2022) - [j78]Jinze Yang, Kun Fu, Youming Wu, Wenhui Diao, Wei Dai, Xian Sun:
Mutual-Feed Learning for Super-Resolution and Object Detection in Degraded Aerial Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j77]Wei Peng, Tielin Chen, Wei Dai:
Predicting Drug Response Based on Multi-Omics Fusion and Graph Convolution. IEEE J. Biomed. Health Informatics 26(3): 1384-1393 (2022) - [j76]Hui Hwang Goh, Yifeng Huang, Chee Shen Lim, Dongdong Zhang, Hui Liu, Wei Dai, Tonni Agustiono Kurniawan, Saifur Rahman:
An Assessment of Multistage Reward Function Design for Deep Reinforcement Learning-Based Microgrid Energy Management. IEEE Trans. Smart Grid 13(6): 4300-4311 (2022) - [j75]Zilong Jiang, Wei Deng, Wei Dai:
MLIM: A CTR prediction model describing evolution law of user interest. Web Intell. 20(1): 37-52 (2022) - [c100]Wei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic, Guanliang Chen:
Measuring Inconsistency in Written Feedback: A Case Study in Politeness. AIED (1) 2022: 560-566 - [c99]Wei Peng, Piaofang Yu, Wei Dai, Xiaodong Fu, Li Liu, Yi Pan:
Identification of personalized driver genes for individuals using graph convolution network. BIBM 2022: 523-528 - [c98]Wei Dai, Daniel Berleant:
Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image Sets. Big Data 2022: 3735-3744 - [c97]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 (Extended Abstract). Big Data 2022: 4968-4969 - [c96]Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang:
Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract). Big Data 2022: 4970-4971 - [c95]Jun Wu, QingGuo Yan, Qinwei Dong, Xianguang Zha, Lin Cui, Xindong Zhao, Wei Dai, Chong Luo:
Task-driven Dialogue System based on Dynamic Intention Capture. DSA 2022: 859-864 - [c94]Ziyu Zhou, Wei Dai:
Gridless Joint Delay-DoA-Doppler Estimation Using OFDM Signals: A Multilevel Hankel Matrix Approach. EUSIPCO 2022: 1821-1825 - [c93]Ruihan Zeng, Wei Dai, Huimin Lu, Jiayang Liu, Hui Zhang:
A Local Planner Based on Environmental Geometric Features for Rescue Robots. ICNSC 2022: 1-7 - [c92]Shashank Agrawal, Wei Dai, Atul Luykx, Pratyay Mukherjee, Peter Rindal:
ParaDiSE: Efficient Threshold Authenticated Encryption in Fully Malicious Model. INDOCRYPT 2022: 26-51 - [c91]Wei Dai, Tatsuaki Okamoto, Go Yamamoto:
Stronger Security and Generic Constructions for Adaptor Signatures. INDOCRYPT 2022: 52-77 - [c90]Qinghao Liang, Javid Dadashkarimi, Wei Dai, Amin Karbasi, Joseph Chang, Harrison H. Zhou, Dustin Scheinost:
Transforming Connectomes to "Any" Parcellation via Graph Matching. ISGIE/GRAIL@MICCAI 2022: 118-127 - [c89]Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. MICCAI (8) 2022: 375-385 - [c88]Wei Dai, Stephanie Noble, Dustin Scheinost:
The Semi-constrained Network-Based Statistic (scNBS): Integrating Local and Global Information for Brain Network Inference. MICCAI (1) 2022: 396-405 - [c87]Yuanyuan Liu, Wei Dai, Chuanxu Feng, Wenbin Wang, Guanghao Yin, Jiabei Zeng, Shiguang Shan:
MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild. ACM Multimedia 2022: 24-32 - [c86]Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang:
Brain Network Transformer. NeurIPS 2022 - [i43]Wei Dai, Daniel Berleant:
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation. CoRR abs/2203.01323 (2022) - [i42]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. CoRR abs/2204.07054 (2022) - [i41]Wei Dai, Rui Liu, Tianyi Wu, Min Wang, Jianqin Yin, Jun Liu:
HierAttn: Effectively Learn Representations from Stage Attention and Branch Attention for Skin Lesions Diagnosis. CoRR abs/2205.04326 (2022) - [i40]Wei Dai, Mingcheng Zhang, Kin Huat Low:
Data-Efficient Modeling for Precise Power Consumption Estimation of Quadrotor Operations Using Ensemble Learning. CoRR abs/2205.10997 (2022) - [i39]Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. CoRR abs/2207.00813 (2022) - [i38]Bargav Jayaraman, Esha Ghosh, Huseyin A. Inan, Melissa Chase, Sambuddha Roy, Wei Dai:
Active Data Pattern Extraction Attacks on Generative Language Models. CoRR abs/2207.10802 (2022) - [i37]Yuanyuan Liu, Wei Dai, Chuanxu Feng, Wenbin Wang, Guanghao Yin, Jiabei Zeng, Shiguang Shan:
MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild. CoRR abs/2208.00847 (2022) - [i36]Wei Dai, Ziyao Zhang, Lixia Tian, Shengyuan Yu, Shuhui Wang, Zhao Dong, Hairong Zheng:
First Glance Diagnosis: Brain Disease Classification with Single fMRI Volume. CoRR abs/2208.03028 (2022) - [i35]Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang:
Brain Network Transformer. CoRR abs/2210.06681 (2022) - [i34]Wei Dai, Daniel Berleant:
Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image Sets. CoRR abs/2210.10249 (2022) - [i33]C. M. Downey, Wei Dai, Huseyin A. Inan, Kim Laine, Saurabh Naik, Tomasz Religa:
Planting and Mitigating Memorized Content in Predictive-Text Language Models. CoRR abs/2212.08619 (2022) - [i32]Wei Dai:
PESCA: A Privacy-Enhancing Smart-Contract Architecture. IACR Cryptol. ePrint Arch. 2022: 1119 (2022) - [i31]Shashank Agrawal, Wei Dai, Atul Luykx, Pratyay Mukherjee, Peter Rindal:
ParaDiSE: Efficient Threshold Authenticated Encryption in Fully Malicious Model. IACR Cryptol. ePrint Arch. 2022: 1449 (2022) - [i30]Wei Dai, Tatsuaki Okamoto, Go Yamamoto:
Stronger Security and Generic Constructions for Adaptor Signatures. IACR Cryptol. ePrint Arch. 2022: 1687 (2022) - 2021
- [j74]Meihui Jiang, Tianhao Liu, Hui Hwang Goh, Dongdong Zhang, Wei Dai, Jiefeng Liu, Thomas Wu:
Estimation of Operation Cost of Residential Multiple Energy System Considering Uncertainty of Loads and Renewable Energies. IEEE Access 9: 4874-4885 (2021) - [j73]Wei Dai, Wenhui Diao, Xian Sun, Yue Zhang, Liangjin Zhao, Jun Li, Kun Fu:
CAMV: Class Activation Mapping Value Towards Open Set Fine-Grained Recognition. IEEE Access 9: 8167-8177 (2021) - [j72]Hui Hwang Goh, Biliang He, Hui Liu, Dongdong Zhang, Wei Dai, Tonni Agustiono Kurniawan, Kai Chen Goh:
Multi-Convolution Feature Extraction and Recurrent Neural Network Dependent Model for Short-Term Load Forecasting. IEEE Access 9: 118528-118540 (2021) - [j71]Jin Wu, Yi Yuan An, Qian Wen Shi, Wei Dai:
Behavior Recognition Algorithm Based on the Fusion of SE-R3D and LSTM Network. IEEE Access 9: 141002-141012 (2021) - [j70]Yaru Liu, Wei Dai, Huimin Lu, Yadong Liu, Zongtan Zhou:
Brain-computer interface for human-multirobot strategic consensus with a differential world model. Appl. Intell. 51(6): 3645-3663 (2021) - [j69]Ruopeng Xie, Jiahui Li, Jiawei Wang, Wei Dai, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Trevor Lithgow, Jiangning Song, Yanju Zhang:
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy. Briefings Bioinform. 22(3) (2021) - [j68]Shijie Qin, Weijun Xu, Canbiao Wang, Sizhu Jiang, Wei Dai, Yang Yang, Jiawei Shen, Ping Jin, Fei Ma, Xinyi Xia:
Analyzing master regulators and scRNA-seq of COVID-19 patients reveals an underlying anti-SARS-CoV-2 mechanism of ZNF proteins. Briefings Bioinform. 22(5) (2021) - [j67]Changpeng Ji, Xingmei Han, Wei Dai, Wenxin Ji, Zirui Wang:
Memory performance optimization of DTN relay node based on M/G/1. Comput. Commun. 177: 24-32 (2021) - [j66]Andrew P. Reimer, Wei Dai, Benjamin Smith, Nicholas K. Schiltz, Jiayang Sun, Siran Koroukian:
Subcategorizing EHR diagnosis codes to improve clinical application of machine learning models. Int. J. Medical Informatics 156: 104588 (2021) - [j65]Yuanyuan Liu, Wei Dai, Fang Fang, Yongquan Chen, Rui Huang, Run Wang, Bo Wan:
Dynamic multi-channel metric network for joint pose-aware and identity-invariant facial expression recognition. Inf. Sci. 578: 195-213 (2021) - [j64]Wei Dai, Bingxi Chen, Wei Peng, Xia Li, Jiancheng Zhong, Jianxin Wang:
A Novel Multi-Ensemble Method for Identifying Essential Proteins. J. Comput. Biol. 28(7): 637-649 (2021) - [j63]Jiawei Wang, Wei Dai, Jiahui Li, Qi Li, Ruopeng Xie, Yanju Zhang, Christopher Stubenrauch, Trevor Lithgow:
AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins. Nucleic Acids Res. 49(Database-Issue): D630-D638 (2021) - [j62]Jiawei Wang, Jiahui Li, Yi Hou, Wei Dai, Ruopeng Xie, Tatiana T. Marquez-Lago, André Leier, Tieli Zhou, Von Torres, Iain Hay, Christopher Stubenrauch, Yanju Zhang, Jiangning Song, Trevor Lithgow:
BastionHub: a universal platform for integrating and analyzing substrates secreted by Gram-negative bacteria. Nucleic Acids Res. 49(Database-Issue): D651-D659 (2021) - [j61]Wei Dai, Yaru Liu, Huimin Lu, Zongtan Zhou, Zhiqiang Zheng:
Shared Control Based on a Brain-Computer Interface for Human-Multirobot Cooperation. IEEE Robotics Autom. Lett. 6(3): 6123-6130 (2021) - [j60]Wei Dai, Yaru Liu, Huimin Lu, Zhiqiang Zheng, Zongtan Zhou:
A Shared Control Framework for Human-Multirobot Foraging With Brain-Computer Interface. IEEE Robotics Autom. Lett. 6(4): 6305-6312 (2021) - [j59]Wei Dai, Wei Wang, Zhongtian Mao, Ruwen Jiang, Fudong Nian, Teng Li:
Distributed Policy Evaluation with Fractional Order Dynamics in Multiagent Reinforcement Learning. Secur. Commun. Networks 2021: 1020466:1-1020466:7 (2021) - [j58]Wei Dai, Zhao Liu, Guolin Qin:
Classification of Nonnegative Solutions to Static Schrödinger-Hartree-Maxwell Type Equations. SIAM J. Math. Anal. 53(2): 1379-1410 (2021) - [j57]Nan Jiang, Haibo Li, Yuxiang Hu, Jieyuan Zhang, Wei Dai, Congjiang Li, Jiawen Zhou:
A Monitoring Method Integrating Terrestrial Laser Scanning and Unmanned Aerial Vehicles for Different Landslide Deformation Patterns. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10242-10255 (2021) - [j56]Jiagang Liu, Ju Ren, Wei Dai, Deyu Zhang, Pude Zhou, Yaoxue Zhang, Geyong Min, Noushin Najjari:
Online Multi-Workflow Scheduling under Uncertain Task Execution Time in IaaS Clouds. IEEE Trans. Cloud Comput. 9(3): 1180-1194 (2021) - [j55]Deepika Natarajan, Wei Dai:
SEAL-Embedded: A Homomorphic Encryption Library for the Internet of Things. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2021(3): 756-779 (2021) - [j54]Wanqi Ma, Xiaoxiao Liao, Wei Dai, Weike Pan, Zhong Ming:
Holistic Transfer to Rank for Top-N Recommendation. ACM Trans. Interact. Intell. Syst. 11(1): 8:1 (2021) - [j53]Qian Gao, Zhifang Yang, Juan Yu, Wei Dai, Xingyu Lei, Bo Tang, Kaigui Xie, Wenyuan Li:
Model-Driven Architecture of Extreme Learning Machine to Extract Power Flow Features. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4680-4690 (2021) - [c85]Yanmei Zhang, Siqian Kang, Wei Dai, Shiping Chen, Jianming Zhu:
Code Will Speak: Early detection of Ponzi Smart Contracts on Ethereum. SCC 2021: 301-308 - [c84]Hao Chen, Wei Dai, Miran Kim, Yongsoo Song:
Efficient Homomorphic Conversion Between (Ring) LWE Ciphertexts. ACNS (1) 2021: 460-479 - [c83]Jin Wu, Wei Dai, Yu Wang, Bo Zhao:
Improved Fruit Fly Optimization Algorithm Based on Simulated Annealing in Neural Network. APSIPA ASC 2021: 100-105 - [c82]Wei Dai, Daniel Berleant:
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation. IEEE BigData 2021: 5085-5094 - [c81]Sangeeta Chowdhary, Wei Dai, Kim Laine, Olli Saarikivi:
EVA Improved: Compiler and Extension Library for CKKS. WAHC@CCS 2021: 43-55 - [c80]Kelong Cong, Radames Cruz Moreno, Mariana Botelho da Gama, Wei Dai, Ilia Iliashenko, Kim Laine, Michael Rosenberg:
Labeled PSI from Homomorphic Encryption with Reduced Computation and Communication. CCS 2021: 1135-1150 - [c79]QingGuo Yan, Jun Zhao, Xianguang Cha, Wei Dai, ZeJia He, Lin Cui, LingShuang Yu:
The Evaluation of Teaching Effect based on Interpretable Machine Learning. DSA 2021: 712-715 - [c78]Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Fangfang Tang, Stuart Crozier, Craig Engstrom, Shekhar Chandra:
Can3d: Fast 3d Knee Mri Segmentation Via Compact Context Aggregation. ISBI 2021: 1505-1508 - [c77]Zicheng Che, Wei Peng, Wei Dai, Shoulin Wei, Wei Lan:
A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association. ISBRA 2021: 130-141 - [c76]Zhijie Qiu, Wei Dai, Gaozhi Guan:
Research on Stall Recovery Parachute Flight Deployment Tests. ISCSIC 2021: 24-27 - [c75]Wei Dai, Yuan An, Wen Long:
Price change prediction of Ultra high frequency financial data based on temporal convolutional network. ITQM 2021: 1177-1183 - [i29]Wei Dai, Daniel Berleant:
Benchmarking Deep Learning Classifiers: Beyond Accuracy. CoRR abs/2103.03102 (2021) - [i28]Pankaj Topiwala, Wei Dai, Jiangfeng Pian:
VMAF And Variants: Towards A Unified VQA. CoRR abs/2103.07770 (2021) - [i27]Bizhao Pang, Xinting Hu, Wei Dai, Kin Huat Low:
Third Party Risk Modelling and Assessment for Safe UAV Path Planning in Metropolitan Environments. CoRR abs/2107.01834 (2021) - [i26]Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis. CoRR abs/2107.05097 (2021) - [i25]Wei Dai, Bizhao Pang, Kin Huat Low:
Conflict-Free Four-Dimensional Path Planning for Urban Air Mobility Considering Airspace Occupations. CoRR abs/2107.12829 (2021) - [i24]Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Craig B. Engstrom, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra:
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation. CoRR abs/2109.05443 (2021) - [i23]