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Yufei Huang
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2020 – today
- 2024
- [j85]Xin Tong, Yufei Huang, Bo Chang, Zhi Chen:
A Novel Information Update Policy for Real-Time Wireless Feedback Control in IIoT. IEEE Internet Things J. 11(8): 13152-13166 (2024) - [j84]Hechao Liu, Lihua You, Yufei Huang, Zenan Du:
On sufficient conditions for Hamiltonicity of graphs, and beyond. J. Comb. Optim. 47(2): 11 (2024) - [j83]Li-Ju Wang, Michael Ning, Tapsya Nayak, Michael J. Kasper, Satdarshan P. Monga, Yufei Huang, Yidong Chen, Yu-Chiao Chiu:
shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning. Patterns 5(2): 100894 (2024) - [c109]Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. AAAI 2024: 310-319 - [c108]Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li:
Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. AAAI 2024: 12662-12670 - [i41]Ruixin Ding, Bowei Chen, James M. Wilson, Zhi Yan, Yufei Huang:
SRNI-CAR: A comprehensive dataset for analyzing the Chinese automotive market. CoRR abs/2401.05395 (2024) - [i40]Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. CoRR abs/2402.08198 (2024) - [i39]Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li:
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. CoRR abs/2402.11459 (2024) - [i38]Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li:
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. CoRR abs/2402.14391 (2024) - [i37]Yufei Huang, Shengding Hu, Xu Han, Zhiyuan Liu, Maosong Sun:
Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competition. CoRR abs/2402.15175 (2024) - [i36]Rui Sun, Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions. CoRR abs/2403.00875 (2024) - [i35]Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li:
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. CoRR abs/2403.01400 (2024) - [i34]Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li:
FoldToken: Learning Protein Language via Vector Quantization and Beyond. CoRR abs/2403.09673 (2024) - [i33]Chuang Liu, Linhao Yu, Jiaxuan Li, Renren Jin, Yufei Huang, Ling Shi, Junhui Zhang, Xinmeng Ji, Tingting Cui, Tao Liu, Jinwang Song, Hongying Zan, Sun Li, Deyi Xiong:
OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety. CoRR abs/2403.12316 (2024) - 2023
- [j82]Hechao Liu, Yufei Huang:
Sharp bounds on the symmetric division deg index of graphs and line graphs. Comput. Appl. Math. 42(6): 285 (2023) - [j81]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) - [j80]Sonish Sivarajkumar, Yufei Huang, Yanshan Wang:
Fair patient model: Mitigating bias in the patient representation learned from the electronic health records. J. Biomed. Informatics 148: 104544 (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) - [c107]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 - [c106]Wenli Liao, Chengying Chen, Daifa Gao, Yufei Huang:
A 10Gbps High-Speed Low-Noise Optical Receiver Based on CMOS 45nm Technology. ASICON 2023: 1-4 - [c105]Ruixin Ding, Bowei Chen, James M. Wilson, Zhi Yan, Yufei Huang:
SRNI-CAR: A Comprehensive Dataset for Analyzing the Chinese Automotive Market. IEEE Big Data 2023: 3405-3412 - [c104]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. ICML 2023: 37571-37581 - [c103]Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li:
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. NeurIPS 2023 - [i32]Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li:
A Survey on Protein Representation Learning: Retrospect and Prospect. CoRR abs/2301.00813 (2023) - [i31]Yufei Huang, Mohsen A. Jafari:
Risk-aware Vehicle Motion Planning Using Bayesian LSTM-Based Model Predictive Control. CoRR abs/2301.06201 (2023) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. CoRR abs/2306.05628 (2023) - [i24]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) - [i23]Yufei Huang, Deyi Xiong:
CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models. CoRR abs/2306.16244 (2023) - [i22]Tianhao Shen, Renren Jin, Yufei Huang, Chuang Liu, Weilong Dong, Zishan Guo, Xinwei Wu, Yan Liu, Deyi Xiong:
Large Language Model Alignment: A Survey. CoRR abs/2309.15025 (2023) - [i21]Yufei Huang, Siyuan Li, Jin Su, Lirong Wu, Odin Zhang, Haitao Lin, Jingqi Qi, Zihan Liu, Zhangyang Gao, Yuyang Liu, Jiangbin Zheng, Stan. ZQ. Li:
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. CoRR abs/2310.11466 (2023) - [i20]Zishan Guo, Renren Jin, Chuang Liu, Yufei Huang, Dan Shi, Supryadi, Linhao Yu, Yan Liu, Jiaxuan Li, Bojian Xiong, Deyi Xiong:
Evaluating Large Language Models: A Comprehensive Survey. CoRR abs/2310.19736 (2023) - [i19]Xidong Wu, Wan-Yi Lin, Devin Willmott, Filipe Condessa, Yufei Huang, Zhenzhen Li, Madan Ravi Ganesh:
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning. CoRR abs/2311.08479 (2023) - [i18]Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li:
MMDesign: Multi-Modality Transfer Learning for Generative Protein Design. CoRR abs/2312.06297 (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, Lei Sun, Shaowu Zhang, Yufei Huang, Jia Meng:
Sketching the distribution of transcriptomic features on RNA transcripts with Travis coordinates. BIBM 2015: 1536-1542 - [c61]Mehdi Hajinoroozi, Zijing Mao, Yufei Huang:
Prediction of driver's drowsy and alert states from EEG signals with deep learning. CAMSAP 2015: 493-496 - [c60]Xiaodong Cui, Jia Meng, Shaowu Zhang, Yufei Huang:
Modeling of replicates variances for detecting RNA methylation site in MERIP-SEQ data. ChinaSIP 2015: 802-806 - [c59]Mehdi Hajinoroozi, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang:
Feature extraction with deep belief networks for driver's cognitive states prediction from EEG data. ChinaSIP 2015: 812-815 - 2014
- [j43]Zijing Mao, Chifeng Ma, Tim Hui-Ming Huang, Yidong Chen, Yufei Huang:
BIMMER: a novel algorithm for detecting differential DNA methylation regions from MBDCap-seq data. BMC Bioinform. 15(S-12): S6 (2014) - [j42]Jia Meng, Lenis Mauricio Merino, Kay Robbins, Yufei Huang:
Classification of Imperfectly Time-Locked Image RSVP Events with EEG Device. Neuroinformatics 12(2): 261-275 (2014) - [j41]Yufei Huang, Yidong Chen, Xiaoning Qian:
Selected Articles from the 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2012). IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 981-983 (2014) - [c58]Zijing Mao, Vernon Lawhern, Lenis Mauricio Merino, Kenneth Ball, Li Deng, Brent J. Lance, Kay Robbins, Yufei Huang:
Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning. ChinaSIP 2014: 520-524 - [c57]Lin Zhang, Jia Meng, Hui Liu, Xiaodong Cui, Shao-Wu Zhang, Yidong Chen, Yufei Huang:
Detecting differentially methylated mRNA from MeRIP-Seq with likelihood ratio test. GlobalSIP 2014: 1368-1371 - [c56]Yu-Chen Zhang, Shao-Wu Zhang, Lian Liu, Lin Zhang, Hui Liu, Xiaodong Cui, Yufei Huang, Jia Meng:
Differential analysis of RNA methylome with improved spatial resolution. GlobalSIP 2014: 1372-1375 - 2013
- [j40]Mario Flores, Tzu-Hung Hsiao, Yu-Chiao Chiu, Eric Y. Chuang, Yufei Huang, Yidong Chen:
Gene Regulation, Modulation, and Their Applications in Gene Expression Data Analysis. Adv. Bioinformatics 2013: 360678:1-360678:11 (2013) - [j39]Mohamed N. Nounou, Hazem N. Nounou, Erchin Serpedin, Aniruddha Datta, Yufei Huang:
Computational and Statistical Approaches for Modeling of Proteomic and Genomic Networks. Adv. Bioinformatics 2013: 561968:1-561968:2 (2013) - [j38]Jia Meng, Xiaodong Cui, Manjeet K. Rao, Yidong Chen, Yufei Huang:
Exome-based analysis for RNA epigenome sequencing data. Bioinform. 29(12): 1565-1567 (2013) - [j37]Chifeng Ma, Hung-I Harry Chen, Mario Flores, Yufei Huang, Yidong Chen:
BRCA-Monet: a breast cancer specific drug treatment mode-of-action network for treatment effective prediction using large scale microarray database. BMC Syst. Biol. 7(S-5): S5 (2013) - [c55]Zijing Mao, Tim Hui-Ming Huang, Yidong Chen, Yufei Huang:
BIMMER: A Bi-layer hidden Markov model for differential methylation analysis. BIBM 2013: 99-102 - [c54]Jia Meng, Xiaodong Cui, Hui Liu, Lin Zhang, Shaowu Zhang, Manjeet K. Rao, Yidong Chen, Yufei Huang:
Unveiling the dynamics in RNA epigenetic regulations. BIBM 2013: 139-144 - [c53]Lin Zhang, Hui Liu, Jia Meng, Xuesong Wang, Yidong Chen, Yufei Huang:
Integration of gene expression, genome wide DNA methylation, and gene networks for clinical outcome prediction in ovarian cancer. BIBM 2013: 535-538 - [c52]Manuel Sanchez-Castillo, Isabel M. Tienda-Luna, David Blanco, Maria Carmen Carrion Perez, Yufei Huang:
Bayesian sparse factor model for transcriptional regulatory networks inference. EUSIPCO 2013: 1-4 - [c51]Mario Flores, Yufei Huang, Yidong Chen:
NetceRNA: An algorithm for construction of phenotype-specific regulation networks via competing endogenous RNAs. GENSiPS 2013: 24-27 - [c50]Xiaodong Cui, Jia Meng, Manjeet K. Rao, Yidong Chen, Yufei Huang:
An HMM-based Exome Peak-finding package for RNA epigenome sequencing data. GENSiPS 2013: 85 - [c49]Shaheen Ahmed, Lenis Mauricio Merino, Zijing Mao, Jia Meng, Kay Robbins, Yufei Huang:
A Deep Learning method for classification of images RSVP events with EEG data. GlobalSIP 2013: 33-36 - [c48]Xiaodong Cui, Jia Meng, Manjeet K. Rao, Yidong Chen, Yufei Huang:
Differential analysis of rna methylation sequencing data. GlobalSIP 2013: 41-42 - [c47]Lenis Mauricio Merino, Jia Meng, Stephen M. Gordon, Brent J. Lance, Tony Johnson, Victor Paul, Kay Robbins, Jean M. Vettel, Yufei Huang:
A bag-of-words model for task-load prediction from EEG in complex environments. ICASSP 2013: 1227-1231 - [c46]Amy Wafa Daali, Yufei Huang, Mo M. Jamshidi:
A system based approach to construct a Kaposi sarcoma-associated herpesvirus (KSHV) specific pathway crosstalk network. SoSE 2013: 273-278 - 2012
- [j36]Huoquan Hou, Bolian Liu, Yufei Huang:
The maximum Wiener polarity index of unicyclic graphs. Appl. Math. Comput. 218(20): 10149-10157 (2012) - [j35]Yufei Huang, Zhongming Zhao, Hua Xu, Yu Shyr, Bing Zhang:
Advances in systems biology: computational algorithms and applications. BMC Syst. Biol. 6(S-3): S1 (2012) - [j34]Isabel M. Tienda-Luna, Diego P. Ruiz, Yufei Huang, María C. Carrión:
Iterative decoding in Factor Graph representation using Particle Filtering. Digit. Signal Process. 22(2): 212-218 (2012) - [j33]Yufei Huang, Bolian Liu, Siyuan Chen:
The Generalized τ-Bases of Primitive Non-Powerful Signed Digraphs with d Loops. Graphs Comb. 28(2): 227-242 (2012) - [j32]Nguyen T. Nguyen, Ying Ann Chiao, Yufei Huang, Shou-Jiang Gao, Merry Lindsey, Yidong Chen, Yufang Jin:
Temporal clustering of gene expression patterns using short-time segments. Int. J. Funct. Informatics Pers. Medicine 4(1): 32-46 (2012) - [j31]Yufei Huang, Feng Chu, Chengbin Chu, Yingluo Wang:
Determining the number of new employees with learning, forgetting and variable wage with a Newsvendor model in pull systems. J. Intell. Manuf. 23(1): 73-89 (2012) - [j30]Shouzhong Wang, Yufei Huang, Bolian Liu:
On a conjecture for the sum of Laplacian eigenvalues. Math. Comput. Model. 56(3-4): 60-68 (2012) - [j29]Dong Yue, Jia Meng, Mingzhu Lu, C. L. Philip Chen, Maozu Guo, Yufei Huang:
Understanding MicroRNA Regulation: A computational perspective. IEEE Signal Process. Mag. 29(1): 77-88 (2012) - [c45]Lin Zhang, Hui Liu, Tzu-Hung Hsiao, Yidong Chen, Yufei Huang:
An investigation of clinical outcome prediction from integrative genomic profiles in ovarian cancer. GENSiPS 2012: 103-106 - [c44]Mario Flores, Yufei Huang:
A new algorithm for predicting competing endogenous rnas. GENSiPS 2012: 118-121 - [c43]Jia Meng, Lenis Mauricio Merino, Kay Robbins, Yufei Huang:
Classification of EEG recordings without perfectly time-locked events. SSP 2012: 444-447 - [c42]Jia Meng, Lenis Mauricio Merino, Kay Robbins, Yufei Huang:
Exploiting correlated discriminant features in time frequency and space for characterization and robust classification of image RSVP events with EEG data. SSP 2012: 668-671 - [c41]Manuel Sanchez-Castillo, Jia Meng, Isabel M. Tienda-Luna, Yufei Huang:
Basis-expansion factor models for uncovering transcription factor regulatory network. SSP 2012: 700-703 - 2011
- [j28]Ping Xuan, Maozu Guo, Xiaoyan Liu, Yangchao Huang, Wenbin Li, Yufei Huang:
PlantMiRNAPred: efficient classification of real and pseudo plant pre-miRNAs. Bioinform. 27(10): 1368-1376 (2011) - [j27]Omid Ghasemi, Merry Lindsey, Tianyi Yang, Nguyen T. Nguyen, Yufei Huang, Yufang Jin:
Bayesian parameter estimation for nonlinear modelling of biological pathways. BMC Syst. Biol. 5(S-3): S9 (2011) - [j26]Yufei Huang, Bolian Liu, Yingluan Liu:
The signless Laplacian spectral radius of bicyclic graphs with prescribed degree sequences. Discret. Math. 311(6): 504-511 (2011) - [j25]Yufei Huang, Bolian Liu:
On the identities of modulo-p partitions. Math. Comput. Model. 54(9-10): 2385-2391 (2011) - [c40]Tzu-Hung Hsiao, Hung-I Harry Chen, Patricia C. Sanchez-Diaz, Jaclyn Y. Hung, Yidong Chen, Yufei Huang:
Gene sets enrichment analysis of miRNA expression profile. BIBM Workshops 2011: 449-454 - [c39]Chifeng Ma, Yufei Huang, Huang-I Harry, Yidong Chen:
Comprehensive investigation of connectivity map data-towards a drug mode of action network for personalized thnerapy. BIBM Workshops 2011: 1045-1047 - [c38]Mingzhu Lu, C. L. Philip Chen, Yufei Huang:
Beyond seed match: Improving miRNA target prediction using PAR-CLIP data. GENSiPS 2011: 127-130 - [c37]Dong Yue, Yidong Chen, Shou-Jiang Gao, Yufei Huang:
Computational prediction of microRNA regulatory pathways. GENSiPS 2011: 158-161 - [c36]Lin Zhang, Jia Meng, Hui Liu, Yufei Huang:
Clustering DNA methylation expressions using nonparametric beta mixture model. GENSiPS 2011: 170-173 - [c35]Jia Meng, Hung-I Chen, Jianqiu Zhang, Yidong Chen, Yufei Huang:
Uncover cooperative gene regulations by microRNAs and transcription factors in glioblastoma using a nonnegative hybrid factor model. ICASSP 2011: 6012-6015 - 2010
- [j24]Hui Liu, Dong Yue, Yidong Chen, Shou-Jiang Gao, Yufei Huang:
Improving performance of mammalian microRNA target prediction. BMC Bioinform. 11: 476 (2010) - [j23]Yufei Huang, Bolian Liu:
On a conjecture about the kth lower multiexponent. Comput. Math. Appl. 60(1): 36-44 (2010) - [j22]Bolian Liu, Yufei Huang:
The scrambling index of primitive digraphs. Comput. Math. Appl. 60(3): 706-721 (2010) - [j21]Bolian Liu, Huoquan Hou, Yufei Huang:
On the Wiener polarity index of trees with maximum degree or given number of leaves. Comput. Math. Appl. 60(7): 2053-2057 (2010) - [j20]Jia Meng, Jianqiu (Michelle) Zhang, Yuan (Alan) Qi, Yidong Chen, Yufei Huang:
Uncovering Transcriptional Regulatory Networks by Sparse Bayesian Factor Model. EURASIP J. Adv. Signal Process. 2010 (2010) - [j19]Yufei Huang, Bolian Liu:
The index of maximum ambiguous density for irreducible non-powerful sign pattern matrices. Eur. J. Comb. 31(1): 230-240 (2010) - [j18]Jianqiu Zhang, Xiaobo Zhou, Honghui Wang, Anthony Suffredini, Lin Zhang, Yufei Huang, Stephen T. C. Wong:
Bayesian peptide peak detection for high resolution TOF mass spectrometry. IEEE Trans. Signal Process. 58(11): 5883-5894 (2010) - [c34]Dong Yue, Hui Liu, Mingzhu Lu, Philip Chen, Yidong Chen, Yufei Huang:
A Bayesian decision fusion approach for microRNA target prediction. BCB 2010: 214-221 - [c33]Chifeng Ma, Hung-I Harry Chen, Yufei Huang, Yidong Chen:
Constructing a compound mode-of-action network for personalized drug effectiveness prediction. BCB 2010: 520-528 - [c32]Nguyen T. Nguyen, Yufang Jin, Yufei Huang, Ying Ann Chiao, Shou-Jiang Gao, Merry Lindsey, Yidong Chen:
Temporal clustering of gene expression patterns using short-time segments. BIBM Workshops 2010: 173-178 - [c31]Jia Meng, Jianqiu Zhang, Yidong Chen, Yufei Huang:
An Iterated Conditional Modes solution for sparse Bayesian factor modeling of transcriptional regulatory networks. BIBM 2010: 335-340 - [c30]Chifeng Ma, Hung-I Harry Chen, Yufei Huang, Yidong Chen:
A computational framework for predicting drug Mode-of-Action. BIBM Workshops 2010: 374-379 - [c29]Dong Yue, Yidong Chen, Shou-Jiang Gao, Yufei Huang:
Computational prediction of MicroRNA regulatory pathways. BIBM Workshops 2010: 386-391 - [c28]Jia Meng, Jianqiu Zhang, Yidong Chen, Yufei Huang:
An iterated conditional mode solution for Bayesian factor modeling of transcriptional regulatory networks. GENSiPS 2010: 1-4 - [c27]Hui Liu, Lin Zhang, Qilong Sun, Yidong Chen, Yufei Huang:
SysMicrO: A Novel Systems Approach for miRNA Target Prediction. ICIC (2) 2010: 9-16 - [c26]Lin Zhang, Hui Liu, Dong Yue, Hui He, Yufei Huang:
miRNA Target Prediction Method Based on the Combination of Multiple Algorithms. ICIC (1) 2010: 258-265
2000 – 2009
- 2009
- [j17]Jia Meng, Shou-Jiang Gao, Yufei Huang:
Enrichment constrained time-dependent clustering analysis for finding meaningful temporal transcription modules. Bioinform. 25(12): 1521-1527 (2009) - [j16]Travis J. Hestilow, Yufei Huang:
Clustering of Gene Expression Data Based on Shape Similarity. EURASIP J. Bioinform. Syst. Biol. 2009 (2009) - [j15]Erchin Serpedin, Javier Garcia-Frías, Yufei Huang, Ulisses M. Braga-Neto:
Applications of Signal Processing Techniques to Bioinformatics, Genomics, and Proteomics. EURASIP J. Bioinform. Syst. Biol. 2009 (2009) - [j14]Yufei Huang, Isabel M. Tienda-Luna, Yufeng Wang:
Reverse engineering gene regulatory networks. IEEE Signal Process. Mag. 26(1): 76-97 (2009) - [j13]Tao Wei, Yufei Huang, C. L. Philip Chen:
Adaptive Sensor Fault Detection and Identification Using Particle Filter Algorithms. IEEE Trans. Syst. Man Cybern. Part C 39(2): 201-213 (2009) - [c25]Hui Liu, Dong Yue, Yidong Chen, Yufei Huang:
A comprehensive study of a SVM-based miRNA target prediction algorithm. GENSiPS 2009: 1-4 - [c24]Yidong Chen, Hung-I Harry Chen, Yufei Huang:
Mapping miRNA Regulation to Functional Gene Sets. IJCBS 2009: 122-125 - [c23]Hui Liu, Lin Zhang, Shou-Jiang Gao, Yufei Huang:
A Bayesian Approach for Identifying miRNA Targets by Combining Sequence Prediction and Expression Profiling. IJCBS 2009: 185-189 - 2008
- [j12]Isabel M. Tienda-Luna, Yufang Yin, Yufei Huang, Diego Pablo Ruiz Padillo, Maria Carmen Carrion Perez, Yufeng Wang:
Constructing Gene Networks Using Variational Bayesian Variable Selection. Artif. Life 14(1): 65-79 (2008) - [c22]Jianqiu Zhang, Honghui Wang, Anthony Suffredini, Denise Gonzales, Elias Gonzalez, Yufei Huang, Xiaobo Zhou:
Bayesian peak detection for Pro-TOF MS MALDI data. ICASSP 2008: 661-664 - 2007
- [j11]Isabel M. Tienda-Luna, Yufei Huang, Yufang Yin, Diego Pablo Ruiz Padillo, Maria Carmen Carrion Perez:
Uncovering Gene Regulatory Networks from Time-Series Microarray Data with Variational Bayesian Structural Expectation Maximization. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - [j10]Yufei Huang, Jianyin Wang, Jianqiu Zhang, Maribel Sanchez, Yufeng Wang:
Bayesian Inference of Genetic Regulatory Networks from Time Series Microarray Data Using Dynamic Bayesian Networks. J. Multim. 2(3): 46-56 (2007) - [c21]Travis J. Hestilow, James Perez, Yufei Huang:
Clustering Of Gene Expression Data Based On Shape Similarity. BIOCOMP 2007: 533-539 - 2006
- [c20]Jiayin Wang, Yufei Huang, Maribel Sanchez, Yufeng Wang, Jianqiu (Michelle) Zhang:
Reverse Engineering Yeast Gene Regulatory Networks using Graphical Models. ICASSP (2) 2006: 1088-1091 - [c19]Tao Wei, Yufei Huang, C. L. Philip Chen:
Particle Filtering for Adaptive Sensor Fault Detection and Identification. ICRA 2006: 3807-3812 - 2005
- [j9]Yufei Huang, Jianqiu (Michelle) Zhang, Isabel M. Tienda-Luna, Petar M. Djuric, Diego Pablo Ruiz Padillo:
Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering. EURASIP J. Wirel. Commun. Netw. 2005(2): 130-140 (2005) - [j8]Yufei Huang, Jianqiu (Michelle) Zhang, Petar M. Djuric:
Bayesian detection for BLAST. IEEE Trans. Signal Process. 53(3): 1086-1096 (2005) - [c18]Tao Wei, Yufei Huang, Philip Chen:
Sensor validation for flight control by particle filtering. EUSIPCO 2005: 1-4 - [c17]Yufei Huang, Yufang Yin, Jianqiu (Michelle) Zhang:
Belief-directed sequential probabilistic data association multiuser detector. ICASSP (3) 2005: 713-716 - [c16]Tao Wei, Yufei Huang, Yuan (Alan) Qi:
Symbol detection with time-varying unknown phase by expectation propagation. ICASSP (3) 2005: 717-720 - [c15]Ten-Huei Guo, Philip Chen, Yufei Huang:
Remaining engine life estimation for a sensor-based aircraft engine. SMC 2005: 387-392 - 2004
- [j7]Yufei Huang, Petar M. Djuric:
A hybrid importance function for particle filtering. IEEE Signal Process. Lett. 11(3): 404-406 (2004) - [j6]Yufei Huang, Petar M. Djuric:
A blind particle filtering detector of signals transmitted over flat fading channels. IEEE Trans. Signal Process. 52(7): 1891-1900 (2004) - [c14]Yufei Huang, Jianqiu (Michelle) Zhang, Isabel M. Tienda-Luna, Petar M. Djuric, Diego Pablo Ruiz Padillo:
Adaptive blind multiuser detection over flat fast fading channels using particle filtering. GLOBECOM 2004: 2419-2423 - [c13]Yufang Yin, Yufei Huang, Jianqiu (Michelle) Zhang:
Turbo equalization using probabilistic data association. GLOBECOM 2004: 2535-2539 - [c12]Yufang Yin, Yufei Huang, Jianqiu (Michelle) Zhang:
Joint symbol detection and timing estimation with stochastic M-algorithm. ICASSP (4) 2004: 845-848 - [c11]Yufei Huang, Jianqiu (Michelle) Zhang:
A generalized probabilistic data association multiuser detector. ISIT 2004 - 2003
- [j5]Petar M. Djuric, Jayesh H. Kotecha, Jianqui Zhang, Yufei Huang, Tadesse Ghirmai, Mónica F. Bugallo, Joaquín Míguez:
Particle filtering. IEEE Signal Process. Mag. 20(5): 19-38 (2003) - [c10]Yufei Huang, Petar M. Djuric, Jianqiu (Michelle) Zhang:
Joint velocity estimation and symbol detection in non-stationary fading channels by particle filtering. GLOBECOM 2003: 2269-2273 - [c9]Yufei Huang, Jianqiu (Michelle) Zhang:
Lower bounds on the variance of deterministic signal parameter estimators using Bayesian inference. ICASSP (6) 2003: 745-748 - [c8]Yufei Huang, Jianqiu Zhang, Petar M. Djuric:
Detection with particle filtering in BLAST systems. ICC 2003: 2306-2310 - 2002
- [j4]Yufei Huang, Petar M. Djuric:
Variable Selection by Perfect Sampling. EURASIP J. Adv. Signal Process. 2002(1): 38-45 (2002) - [j3]Petar M. Djuric, Yufei Huang, Tadesse Ghirmai:
Perfect sampling: a review and applications to signal processing. IEEE Trans. Signal Process. 50(2): 345-356 (2002) - [j2]Yufei Huang, Petar M. Djuric:
Multiuser detection of synchronous code-division multiple-access signals by perfect sampling. IEEE Trans. Signal Process. 50(7): 1724-1734 (2002) - [c7]Petar M. Djuric, Jianqiu Zhang, Tadesse Ghirmai, Yufei Huang, Jayesh H. Kotecha:
Applications of particle filtering to communications: A review. EUSIPCO 2002: 1-4 - [c6]Yufei Huang, Petar M. Djuric:
A blind particle filtering detector for joint channel estimation, tracking and data detection over flat fading channels. EUSIPCO 2002: 1-4 - [c5]Jianqiu Zhang, Yufei Huang, Petar M. Djuric:
Multiuser detection with particle filtering. EUSIPCO 2002: 1-4 - [c4]Yufei Huang, Petar M. Djuric:
A new importance function for particle filtering and its application to blind detection in flat fading channels. ICASSP 2002: 1617-1620 - 2001
- [c3]Yufei Huang, Petar M. Djuric:
Multiuser detection of synchronous CDMA signals by the Gibbs coupler. ICASSP 2001: 2273-2276 - 2000
- [j1]Petar M. Djuric, Yufei Huang:
Estimation of a Bernoulli parameter p from imperfect trials. IEEE Signal Process. Lett. 7(6): 160-163 (2000) - [c2]Yufei Huang, Petar M. Djuric:
Choosing priors for an important class of signal processing problems. EUSIPCO 2000: 1-4 - [c1]Yufei Huang, Petar M. Djuric:
Bayesian detection of transient signals in colored noise. ICASSP 2000: 725-728
Coauthor Index
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