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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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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2020 – today
- 2023
[j81]Hechao Liu
, Yufei Huang:
Sharp bounds on the symmetric division deg index of graphs and line graphs. Comput. Appl. Math. 42(6): 285 (2023)- [j80]Li You, Yufei Huang, Wen Zhong, Wenjin Wang, Xiqi Gao:
Robust online energy efficiency optimization for distributed multi-cell massive MIMO networks. Sci. China Inf. Sci. 66(3) (2023) - [j79]Dahuan Wei, Bo Wang, Zhengjie Lu, Yufei Huang, Xinxin Li, Zhenfeng Huang, Hanling Mao:
Iterative Rounded Transient-Synchrosqueezing- Extracting Transform and its Application. IEEE Trans. Ind. Electron. 70(10): 10567-10577 (2023) - [c104]Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li:
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework. AAAI 2023: 10351-10360 - [c103]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. ICML 2023: 37571-37581 - [i27]Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li:
A Survey on Protein Representation Learning: Retrospect and Prospect. CoRR abs/2301.00813 (2023) - [i26]Yufei Huang, Mohsen A. Jafari:
Risk-aware Vehicle Motion Planning Using Bayesian LSTM-Based Model Predictive Control. CoRR abs/2301.06201 (2023) - [i25]Yufei Huang, Lirong Wu, Haitao Lin, Jiangbin Zheng, Ge Wang, Stan Z. Li:
Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy. CoRR abs/2302.10888 (2023) - [i24]Jiangbin Zheng, Ge Wang, Yufei Huang, Bozhen Hu, Siyuan Li, Cheng Tan, Xinwen Fan, Stan Z. Li:
Lightweight Contrastive Protein Structure-Sequence Transformation. CoRR abs/2303.11783 (2023) - [i23]Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun:
Tool Learning with Foundation Models. CoRR abs/2304.08354 (2023) - [i22]Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li:
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework. CoRR abs/2305.10758 (2023) - [i21]Sonish Sivarajkumar, Yufei Huang, Yanshan Wang:
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records. CoRR abs/2306.03179 (2023) - [i20]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. CoRR abs/2306.05628 (2023) - [i19]Haitao Lin, Yufei Huang, Haotian Zhang, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li:
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. CoRR abs/2306.13769 (2023) - [i18]Yufei Huang, Deyi Xiong:
CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models. CoRR abs/2306.16244 (2023) - 2022
- [j78]Mario Flores, Zhentao Liu, Tinghe Zhang, Md Musaddaqui Hasib, Yu-Chiao Chiu, Zhenqing Ye, Karla Paniagua, Sumin Jo, Jianqiu Zhang, Shou-Jiang Gao, Yu-Fang Jin, Yidong Chen, Yufei Huang:
Deep learning tackles single-cell analysis - a survey of deep learning for scRNA-seq analysis. Briefings Bioinform. 23(1) (2022) - [j77]Jinpeng Xu, Yufei Huang, Emmanouil Avgerinos, Gengzhong Feng, Feng Chu:
Dual-channel competition: the role of quality improvement and price-matching. Int. J. Prod. Res. 60(12): 3705-3727 (2022) - [j76]David Rodriguez, Tapsya Nayak, Yidong Chen, Ram Krishnan, Yufei Huang:
On the role of deep learning model complexity in adversarial robustness for medical images. BMC Medical Informatics Decis. Mak. 22-S(2): 160 (2022) - [j75]Shan Jiang, Yufei Huang, Mohsen A. Jafari, Mohammad Jalayer:
A Distributed Multi-Agent Reinforcement Learning With Graph Decomposition Approach for Large-Scale Adaptive Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 23(9): 14689-14701 (2022) - [c102]Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li:
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. ACL (1) 2022: 8154-8163 - [c101]Mohammad Nur Nobi, Ram Krishnan, Yufei Huang, Mehrnoosh Shakarami, Ravi S. Sandhu:
Toward Deep Learning Based Access Control. CODASPY 2022: 143-154 - [c100]Yufei Huang, Yujia Qin, Huadong Wang, Yichun Yin, Maosong Sun, Zhiyuan Liu, Qun Liu:
FPT: Improving Prompt Tuning Efficiency via Progressive Training. EMNLP (Findings) 2022: 6877-6887 - [c99]Mohammad Nur Nobi, Ram Krishnan, Yufei Huang, Ravi S. Sandhu:
Administration of Machine Learning Based Access Control. ESORICS (2) 2022: 189-210 - [c98]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks. NeurIPS 2022 - [i17]Mohammad Nur Nobi, Ram Krishnan, Yufei Huang, Mehrnoosh Shakarami, Ravi S. Sandhu:
Toward Deep Learning Based Access Control. CoRR abs/2203.15124 (2022) - [i16]Yufei Huang, Mohsen A. Jafari, Peter Jin:
Driving Safety Prediction and Safe Route Mapping Using In-vehicle and Roadside Data. CoRR abs/2209.05604 (2022) - [i15]Shan Jiang, Yufei Huang, Mohsen A. Jafari, Mohammad Jalayer:
Economic-Driven Adaptive Traffic Signal Control. CoRR abs/2210.00645 (2022) - [i14]Lirong Wu, Yufei Huang, Haitao Lin, Zicheng Liu, Tianyu Fan, Stan Z. Li:
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation. CoRR abs/2210.02099 (2022) - [i13]Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li:
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. CoRR abs/2210.16848 (2022) - [i12]Yufei Huang, Yujia Qin, Huadong Wang, Yichun Yin, Maosong Sun, Zhiyuan Liu, Qun Liu:
FPT: Improving Prompt Tuning Efficiency via Progressive Training. CoRR abs/2211.06840 (2022) - [i11]Haitao Lin, Yufei Huang, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li:
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding. CoRR abs/2211.11214 (2022) - [i10]Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li:
Protein Language Models and Structure Prediction: Connection and Progression. CoRR abs/2211.16742 (2022) - [i9]Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li:
Non-equispaced Fourier Neural Solvers for PDEs. CoRR abs/2212.04689 (2022) - 2021
- [j74]Weilin Zhang, Lihua You, Hechao Liu, Yufei Huang:
The expected values and variances for Sombor indices in a general random chain. Appl. Math. Comput. 411: 126521 (2021) - [j73]Milad Mostavi, Yu-Chiao Chiu, Yidong Chen, Yufei Huang:
CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training. BMC Bioinform. 22(1): 244 (2021) - [j72]Xin Feng, Feng Chu, Chengbin Chu, Yufei Huang:
Crowdsource-enabled integrated production and transportation scheduling for smart city logistics. Int. J. Prod. Res. 59(7): 2157-2176 (2021) - [j71]Li You, Yufei Huang, Di Zhang, Zheng Chang, Wenjin Wang, Xiqi Gao:
Energy Efficiency Optimization for Multi-Cell Massive MIMO: Centralized and Distributed Power Allocation Algorithms. IEEE Trans. Commun. 69(8): 5228-5242 (2021) - [j70]Yufei Huang, Bo Hou, Wen Liu, Lidong Wu, Stephen Rainwater, Suogang Gao:
On approximation algorithm for the edge metric dimension problem. Theor. Comput. Sci. 853: 2-6 (2021) - [j69]Li You, Jiayuan Xiong, Yufei Huang, Derrick Wing Kwan Ng, Cunhua Pan, Wenjin Wang, Xiqi Gao:
Reconfigurable Intelligent Surfaces-Assisted Multiuser MIMO Uplink Transmission With Partial CSI. IEEE Trans. Wirel. Commun. 20(9): 5613-5627 (2021) - [c97]Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad:
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. AAAI 2021: 818-826 - [c96]John Heaps, Ram Krishnan, Yufei Huang, Jianwei Niu, Ravi S. Sandhu:
Access Control Policy Generation from User Stories Using Machine Learning. DBSec 2021: 171-188 - [c95]Joan Cahill, Vivienne Howard, Yufei Huang, Junchi Ye, Stephen Ralph, Aidan Dillon:
Addressing Human Factors and Ethics in the Design of 'Future Work' and Intelligent Systems for Use in Financial Services - Person Centered Operations, Intelligent Work & the Triple Bottom Line. HCI (16) 2021: 3-13 - [c94]Joan Cahill, Vivienne Howard, Yufei Huang, Junchi Ye, Stephen Ralph, Aidan Dillon:
Intelligent Work: Person Centered Operations, Worker Wellness and the Triple Bottom Line. HCI (39) 2021: 307-314 - [c93]Deming Ye, Yankai Lin, Yufei Huang, Maosong Sun:
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference. NAACL-HLT 2021: 5798-5809 - [e1]Yufei Huang, Lukasz A. Kurgan, Feng Luo, Xiaohua Hu, Yidong Chen, Edward R. Dougherty, Andrzej Kloczkowski, Yaohang Li:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021. IEEE 2021, ISBN 978-1-6654-0126-5 [contents] - [i8]Deming Ye, Yankai Lin, Yufei Huang, Maosong Sun:
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference. CoRR abs/2105.11618 (2021) - [i7]Li You, Yufei Huang, Di Zhang, Zheng Chang, Wenjin Wang, Xiqi Gao:
Energy Efficiency Optimization for Multi-cell Massive MIMO: Centralized and Distributed Power Allocation Algorithms. CoRR abs/2105.15161 (2021) - 2020
- [j68]Yu-Chiao Chiu, Hung-I Harry Chen, Aparna Gorthi, Milad Mostavi, Siyuan Zheng, Yufei Huang, Yidong Chen:
Deep learning of pharmacogenomics resources: moving towards precision oncology. Briefings Bioinform. 21(6): 2066-2083 (2020) - [j67]Lihua You, Lihong Deng, Yufei Huang:
The maximum α-spectral radius and the majorization theorem of k-uniform supertrees. Discret. Appl. Math. 285: 663-675 (2020) - [j66]Bin Jiang, Bowen Ren, Yufei Huang, Tingting Chen, Li You, Wenjin Wang:
Energy Efficiency and Spectral Efficiency Tradeoff in Massive MIMO Multicast Transmission with Statistical CSI. Entropy 22(9): 1045 (2020) - [j65]Bin Jiang, Linbo Qu, Yufei Huang, Yifei Zheng, Li You, Wenjin Wang:
Energy Efficiency Optimization in Massive MIMO Secure Multicast Transmission. Entropy 22(10): 1145 (2020) - [j64]Bowei Chen, Jingmin Huang, Yufei Huang, Stefanos D. Kollias, Shigang Yue:
Combining guaranteed and spot markets in display advertising: Selling guaranteed page views with stochastic demand. Eur. J. Oper. Res. 280(3): 1144-1159 (2020) - [j63]Yufei Huang, Weihua He, Guixian Huang, Hong-Jian Lai, Sulin Song:
A characterization of graphs with supereulerian line graphs. Int. J. Comput. Math. Comput. Syst. Theory 5(1): 1-14 (2020) - [j62]Chunyan Lu, Lin Li, Yifan Lei, Chunying Ren, Ying Su, Yufei Huang, Yu Chen, Shaohua Lei, Weiwei Fu:
Coupling Coordination Relationship between Urban Sprawl and Urbanization Quality in the West Taiwan Strait Urban Agglomeration, China: Observation and Analysis from DMSP/OLS Nighttime Light Imagery and Panel Data. Remote. Sens. 12(19): 3217 (2020) - [c92]Jiayuan Xiong, Li You, Yufei Huang, Derrick Wing Kwan Ng, Wenjin Wang, Xiqi Gao:
Reconfigurable Intelligent Surfaces Assisted MIMO-MAC with Partial CSI. ICC 2020: 1-6 - [c91]Yufei Huang, Li You, Jiayuan Xiong, Wenjin Wang, Xiqi Gao:
Max-Min Energy-Efficient Multi-Cell Massive MIMO Transmission Exploiting Statistical CSI. ICCC 2020: 300-305 - [c90]Rifatul Islam, Yonggun Lee, Mehrad Jaloli, Imtiaz Muhammad, Dakai Zhu, Paul Rad, Yufei Huang, John Quarles:
Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals. ISMAR 2020: 400-411 - [i6]Li You, Jiayuan Xiong, Yufei Huang, Derrick Wing Kwan Ng, Cunhua Pan, Wenjin Wang, Xiqi Gao:
Reconfigurable Intelligent Surfaces-Assisted Multiuser MIMO Uplink Transmission with Partial CSI. CoRR abs/2003.13014 (2020)
2010 – 2019
- 2019
- [j61]Song-Yao Zhang, Shao-Wu Zhang, Xiao-Nan Fan, Teng Zhang, Jia Meng, Yufei Huang:
FunDMDeep-m6A: identification and prioritization of functional differential m6A methylation genes. Bioinform. 35(14): i90-i98 (2019) - [j60]Jingxia Chen, Zijing Mao, Ru Zheng, Yufei Huang, Lifeng He:
Feature Selection of Deep Learning Models for EEG-Based RSVP Target Detection. IEICE Trans. Inf. Syst. 102-D(4): 836-844 (2019) - [j59]Song-Yao Zhang, Shaowu Zhang, Xiaonan Fan, Jia Meng, Yidong Chen, Shou-Jiang Gao, Yufei Huang:
Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods. PLoS Comput. Biol. 15(1) (2019) - [c89]Yufei Huang, Bo Hou, Wen Liu, Lidong Wu, Stephen Rainwater, Suogang Gao:
On Approximation Algorithm for the Edge Metric Dimension Problem. AAIM 2019: 142-148 - [c88]Md Musaddaqul Hasib, Zane Lybrand, Vanesa Nieto Estevez, Jenny Hsieh, Yufei Huang:
Charactering hESCs Organoids from Electrical Signals with Machine Learning. BHI 2019: 1-4 - [c87]Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Qingyao Ai, Yufei Huang, Min Zhang, Shaoping Ma:
Improving Web Image Search with Contextual Information. CIKM 2019: 1683-1692 - [c86]Yufei Huang, Ji Gao, Dan Wang, Yong Liu, Zhengji Song, Jia Xu, Lantao Liu:
High Precision Spatiotemporal Datum Design Based on Ground Observation Position. CSPS 2019: 408-414 - [c85]Ning Liu, Yufei Huang:
The Satellite GPS Antenna In-Orbit Phase Center Calibration Method. CSPS 2019: 1072-1079 - [c84]Yufei Huang, Jia Xu, Xiangyu Lin, Xiongwen He, Ran Zhang, Wenjie Li:
Research on Image Static Target Recognition and Extraction Based on Space Intelligent System. WISATS (2) 2019: 91-99 - [c83]Xiangyu Lin, Dong Yan, Yufei Huang, Fan Bai, Xiongwen He, Panpan Zhan:
Design of Spaceborne AIS System. WISATS (1) 2019: 339-347 - [c82]Zhentao Liu, Jeffrey Mock, Yufei Huang, Edward J. Golob:
Predicting Auditory Spatial Attention from EEG using Single- and Multi-task Convolutional Neural Networks. SMC 2019: 1298-1303 - [c81]Sharaj Panwar, Paul Rad, John Quarles, Yufei Huang:
Generating EEG signals of an RSVP Experiment by a Class Conditioned Wasserstein Generative Adversarial Network. SMC 2019: 1304-1310 - [c80]Sharaj Panwar, Paul Rad, John Quarles, Edward J. Golob, Yufei Huang:
A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals. SMC 2019: 3943-3948 - [c79]Tapsya Nayak, Li-Wei Ko, Tzyy-Ping Jung, Yufei Huang:
Target Classification in a Novel SSVEP-RSVP Based BCI Gaming System. SMC 2019: 4194-4198 - [i5]Milad Mostavi, Yu-Chiao Chiu, Yufei Huang, Yidong Chen:
Convolutional neural network models for cancer type prediction based on gene expression. CoRR abs/1906.07794 (2019) - [i4]Sharaj Panwar, Paul Rad, Tzyy-Ping Jung, Yufei Huang:
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events. CoRR abs/1911.04379 (2019) - 2018
- [j58]Manuel Sanchez-Castillo, David Blanco, Isabel M. Tienda-Luna, Maria Carmen Carrion Perez, Yufei Huang:
A Bayesian framework for the inference of gene regulatory networks from time and pseudo-time series data. Bioinform. 34(6): 964-970 (2018) - [j57]Sirajul Salekin, Jianqiu (Michelle) Zhang, Yufei Huang:
Base-pair resolution detection of transcription factor binding site by deep deconvolutional network. Bioinform. 34(20): 3446-3453 (2018) - [j56]Fuquan Zhang, Zijing Mao, Yufei Huang, Lin Xu, Gangyi Ding:
Deep Learning Models for EEG-based Rapid Serial Visual Presentation Event Classification. J. Inf. Hiding Multim. Signal Process. 9(1): 177-187 (2018) - [j55]Hui Liu, Huaizhi Wang, Zhen Wei, Songyao Zhang, Gang Hua, Shao-Wu Zhang, Lin Zhang, Shou-Jiang Gao, Jia Meng, Xing Chen, Yufei Huang:
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Nucleic Acids Res. 46(Database-Issue): D281-D287 (2018) - [j54]Xiaodong Cui, Lin Zhang, Jia Meng, Manjeet K. Rao, Yidong Chen, Yufei Huang:
MeTDiff: A Novel Differential RNA Methylation Analysis for MeRIP-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 526-534 (2018) - [j53]Yufei Huang, Onesun Steve Yoo, Bilal Gokpinar:
Time Allocation in Entrepreneurial Selling: Impact of Consumer Peer Learning and Incumbent Reaction. IEEE Trans. Engineering Management 65(4): 590-603 (2018) - [c78]Mahmoud Abdelsalam, Ram Krishnan, Yufei Huang, Ravi S. Sandhu:
Malware Detection in Cloud Infrastructures Using Convolutional Neural Networks. IEEE CLOUD 2018: 162-169 - [c77]Songyao Zhang, Shaowu Zhang, Xiaonan Fan, Jia Meng, Yidong Chen, Yufei Huang:
A Machine Learning Approach for Uncovering N6-methyladenosine-Disease Association. BCB 2018: 600 - [c76]Isaac A. Corley, Yufei Huang:
Deep EEG super-resolution: Upsampling EEG spatial resolution with Generative Adversarial Networks. BHI 2018: 100-103 - [c75]Md Musaddaqul Hasib, Tapsya Nayak, Yufei Huang:
A hierarchical LSTM model with attention for modeling EEG non-stationarity for human decision prediction. BHI 2018: 104-107 - [c74]Yonggun Lee, Yufei Huang:
Generating target/non-target images of an RSVP experiment from brain signals in by conditional generative adversarial network. BHI 2018: 182-185 - [c73]Mingzhu Lu, Yufei Huang:
CLIPSeed: Achieving High Precision miRNA Binding Sites Prediction using PAR-CLIP Data. BIBM 2018: 1764-1771 - [c72]Milad Mostavi, Sirajul Salekin, Yufei Huang:
Deep-2'-O-Me: Predicting 2'-O-methylation sites by Convolutional Neural Networks. EMBC 2018: 2394-2397 - [i3]Yu-Chiao Chiu, Hung-I Harry Chen, Tinghe Zhang, Songyao Zhang, Aparna Gorthi, Li-Ju Wang, Yufei Huang, Yidong Chen:
Predicting drug response of tumors from integrated genomic profiles by deep neural networks. CoRR abs/1805.07702 (2018) - [i2]Hung-I Harry Chen, Yu-Chiao Chiu, Tinghe Zhang, Songyao Zhang, Yufei Huang, Yidong Chen:
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization. CoRR abs/1805.07874 (2018) - 2017
- [j52]Lian Liu, Shao-Wu Zhang, Yufei Huang, Jia Meng:
QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model. BMC Bioinform. 18(1): 387:1-387:12 (2017) - [j51]Lin Zhang, Hui Liu, Yufei Huang, Xuesong Wang, Yidong Chen, Jia Meng:
Cancer Progression Prediction Using Gene Interaction Regularized Elastic Net. IEEE ACM Trans. Comput. Biol. Bioinform. 14(1): 145-154 (2017) - [c71]Sirajul Salekin, Jianqiu (Michelle) Zhang, Yufei Huang:
A deep learning model for predicting transcription factor binding location at single nucleotide resolution. BHI 2017: 57-60 - [c70]Tapsya Nayak, Tinghe Zhang, Zijing Mao, Xiaojing Xu, Daniel J. Pack, Bing Dong, Yufei Huang:
Prediction of temperature induced office worker's performance during typing task using EEG. EMBC 2017: 1684-1687 - [c69]Zijing Mao, Wan Xiang Yao, Yufei Huang:
Design of deep convolutional networks for prediction of image rapid serial visual presentation events. EMBC 2017: 2035-2038 - [c68]Mehdi Hajinoroozi, Jianqiu (Michelle) Zhang, Yufei Huang:
Prediction of fatigue-related driver performance from EEG data by deep Riemannian model. EMBC 2017: 4167-4170 - [c67]Mehdi Hajinoroozi, Zijing Mao, Yuan-Pin Lin, Yufei Huang:
Deep Transfer Learning for Cross-subject and Cross-experiment Prediction of Image Rapid Serial Visual Presentation Events from EEG Data. HCI (14) 2017: 45-55 - [c66]Zijing Mao, Wan Xiang Yao, Yufei Huang:
EEG-based biometric identification with deep learning. NER 2017: 609-612 - [c65]Mehdi Hajinoroozi, Jianqiu (Michelle) Zhang, Yufei Huang:
Driver's fatigue prediction by deep covariance learning from EEG. SMC 2017: 240-245 - [i1]Bowei Chen, Jingmin Huang, Yufei Huang, Stefanos D. Kollias, Shigang Yue:
Posted price programmatic guarantee in display advertising. CoRR abs/1708.01348 (2017) - 2016
- [j50]Xiaodong Cui, Jia Meng, Shaowu Zhang, Yidong Chen, Yufei Huang:
A novel algorithm for calling mRNA m6A peaks by modeling biological variances in MeRIP-seq data. Bioinform. 32(12): 378-385 (2016) - [j49]Zhongming Zhao, Yunlong Liu, Yufei Huang, Kun Huang, Jianhua Ruan:
Advancing Systems Biology in the International Conference on Intelligent Biology and Medicine (ICIBM) 2015. BMC Syst. Biol. 10(S-3): 61 (2016) - [j48]Song-Yao Zhang, Shao-Wu Zhang, Lian Liu, Jia Meng, Yufei Huang:
m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks. PLoS Comput. Biol. 12(12) (2016) - [j47]Mehdi Hajinoroozi, Zijing Mao, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang:
EEG-based prediction of driver's cognitive performance by deep convolutional neural network. Signal Process. Image Commun. 47: 549-555 (2016) - [c64]Lenis Mauricio Merino, Tapsya Nayak, Garrett Hall, Daniel J. Pack, Yufei Huang:
Detection of control or idle state with a likelihood ratio test in asynchronous SSVEP-based brain-computer interface systems. EMBC 2016: 1568-1571 - [c63]Zijing Mao, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang:
Predicting EEG Sample Size Required for Classification Calibration. HCI (13) 2016: 57-68 - 2015
- [j46]Yufei Huang, Bolian Liu:
Noncrossing partitions with fixed points having specific properties. Ars Comb. 118: 51-61 (2015) - [j45]Yufei Huang, Bolian Liu:
The partition theorem of connected digraphs and its enumerative applications. Ars Comb. 119: 149-159 (2015) - [j44]Hui Liu, Mario A. Flores, Jia Meng, Lin Zhang, Xinyu Zhao, Manjeet K. Rao, Yidong Chen, Yufei Huang:
MeT-DB: a database of transcriptome methylation in mammalian cells. Nucleic Acids Res. 43(Database-Issue): 197-203 (2015) - [c62]Xiaodong Cui, Zhen Wei, Lin Zhang, Hui Liu,