Haohan Wang

发表

Bhiksha Raj, Eric P. Xing, Haohan Wang, 2017, ArXiv.

High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

Eric P. Xing, Haohan Wang, Pengcheng Yin, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multiplex Confounding Factor Correction for Genomic Association Mapping with Squared Sparse Linear Mixed Model

Eric P. Xing, Yunpeng Xiao, Haohan Wang, 2017, bioRxiv.

Backward genotype-transcript-phenotype association mapping.

E. Xing, Seunghak Lee, Haohan Wang, 2017, Methods.

Impact of ground and canopy camera-trapping installation on wildlife monitoring

Zhipang Huang, Haohan Wang, Guopeng Ren, 2018 .

Discovering weaker genetic associations guided by known associations

E. Xing, Haohan Wang, Wei Wu, 2020, BMC Medical Genomics.

Corporate Social Responsibility and Consumer Emotional Marketing in Big Data Era: A Mini Literature Review

Haohan Wang, J. Shao, Tian Zhang, 2022, Frontiers in Psychology.

Supervised Mind Reading : Uncovering Text from Neural Data

Haohan Wang, Mariya Toneva, Vipul Singh, 2015 .

Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets

Eric P. Xing, Fen Pei, Wei Wu, 2018, bioRxiv.

Effects of Different Pollination Methods on Oilseed Rape (Brassica napus) Plant Growth Traits and Rapeseed Yields

Haohan Wang, X. Xue, Wei Gu, 2022, Plants.

PRBM_A_313742 759..768

Haohan Wang, Ailian Wang, Lian Zhu, 2021 .

Au-Encapsulated Fe Nanorods in Oxide Matrix with Tunable Magneto-Optic Coupling Properties.

Haohan Wang, Z. Qi, Haiyan Wang, 2020, ACS applied materials & interfaces.

Kernel Mixed Model for Transcriptome Association Study

E. Xing, Haohan Wang, Wei Wu, 2022, J. Comput. Biol..

On the Origin of Deep Learning On the Origin of Deep Learning

Bhiksha Raj, Haohan Wang, B. Raj, 2017 .

A Survey: Time Travel in Deep Learning Space: An Introduction to Deep Learning Models and How Deep Learning Models Evolved from the Initial Ideas pdf

Bhiksha Raj, Haohan Wang, B. Raj, 2015, ArXiv.

Learning Robust Global Representations by Penalizing Local Predictive Power

Eric P. Xing, Haohan Wang, Zachary C. Lipton, 2019, NeurIPS.

Magnetic moments and spin structure in single-phase B20 Co1+xSi1−x (x = 0.043)

Haohan Wang, D. Sellmyer, B. Balasubramanian, 2022, Journal of Applied Physics.

Fair Deep Learning Prediction for Healthcare Applications with Confounder Filtering pdf

Eric P. Xing, Haohan Wang, Yin Chen, 2018, ArXiv.

Deep Learning for Genomics: A Concise Overview pdf

Haohan Wang, Tianwei Yue, Haohan Wang, 2018, ArXiv.

Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets

E. Xing, I. Bahar, Haohan Wang, 2018, BMC Bioinformatics.

Coupled Mixed Model for joint genetic analysis of complex disorders from independently collected data sets: application to Alzheimer's disease and substance use disorder

Eric P. Xing, Haohan Wang, Michael Vanyukov, 2018 .

Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data

Eric P. Xing, Bryon Aragam, Haohan Wang, 2018, Bioinform..

Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies

Eric P. Xing, Wei Wu, Haohan Wang, 2019, BMC Bioinformatics.

Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species

Xin Gao, Haohan Wang, Eric P Xing, 2020, PLoS Comput. Biol..

Learning functional embedding of genes governed by pair-wised labels

Haohan Wang, Zhengli Wu, Jingjun Cao, 2017, 2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA).

Quantitative models in emission trading system research: A literature review

Ling Li, Ling Tang, Haohan Wang, 2020, Renewable and Sustainable Energy Reviews.

DeepBiomarker: Identifying Important Lab Tests from Electronic Medical Records for the Prediction of Suicide-Related Events among PTSD Patients

Haohan Wang, D. Brent, J. Silverstein, 2022, Journal of personalized medicine.

Multimodal Transfer Deep Learning with Applications in Audio-Visual Recognition

Haohan Wang, Seungwhan Moon, Suyoun Kim, 2014 .

Noncollinear spin structure in Fe3+xCo3−xTi2 ( x=0,2,3 ) from neutron diffraction

Haohan Wang, D. Sellmyer, B. Balasubramanian, 2019, Physical Review Materials.

Label-free observation of morphological alteration of irradiated-urothelial bladder carcinoma cells through digital holographic microscopy

Haohan Wang, Xi Xiao, Leiping Che, 2022, Frontiers in Physics.

Intrinsic ferroelectricity in Y-doped HfO2 thin films

E. Tsymbal, Haohan Wang, A. Gruverman, 2021, Nature Materials.

Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual

Haohan Wang, He He, Sheng Zha, 2019, EMNLP.

Select-additive learning: Improving generalization in multimodal sentiment analysis

Eric P. Xing, Louis-Philippe Morency, Haohan Wang, 2016, 2017 IEEE International Conference on Multimedia and Expo (ICME).

Select-Additive Learning: Improving Cross-individual Generalization in Multimodal Sentiment Analysis pdf

Eric P. Xing, Louis-Philippe Morency, Haohan Wang, 2016, ArXiv.

Behavior analysis of low-literate users of a viral speech-based telephone service

Agha Ali Raza, Ronald Rosenfeld, Haohan Wang, 2013, ACM DEV-4 '13.

Evaluation of Protein-protein Interaction Predictors with Noisy Partially Labeled Data Sets pdf

Haohan Wang, Madhavi K. Ganapathiraju, Haohan Wang, 2015, ArXiv.

Trade-offs of Linear Mixed Models in Genome-Wide Association Studies

E. Xing, Haohan Wang, Bryon Aragam, 2022, J. Comput. Biol..

DeepBiomarker2: Prediction of alcohol and substance use disorder risk in post-traumatic stress disorder patients using electronic medical records and multiple social determinants of health

Haohan Wang, T. Kosten, L. Kirisci, 2023, Research square.

What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks pdf

Eric P. Xing, Haohan Wang, Da Sun, 2018, AAAI.

Metal-Free Oxide-Nitride Heterostructure as a Tunable Hyperbolic Metamaterial Platform.

Haohan Wang, Haiyan Wang, J. Jian, 2020, Nano letters.

Multiple Confounders Correction with Regularized Linear Mixed Effect Models, with Application in Biological Processes

Haohan Wang, Jingkang Yang, Haohan Wang, 2016, bioRxiv.

Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization

Ming Xu, Jianping Wu, Haohan Wang, 2018, IEEE Transactions on Intelligent Transportation Systems.

Strong Interfacial Coupling of Tunable Ni-NiO Nanocomposite Thin Films Formed by Self-Decomposition.

Haohan Wang, Z. Qi, Haiyan Wang, 2021, ACS applied materials & interfaces.

Anisotropic Optical and Magnetic Response in Self-Assembled Tin-Cofe2 Nanocomposites

Haohan Wang, Jiawei Song, S. G. Rosenberg, 2023, SSRN Electronic Journal.

Degradation and temperature sensitivity of litter-derived dissolved organic matter (DOM) in a temperate freshwater wetland

Haohan Wang, Jiangang Han, Xinhou Zhang, 2023, Plant and Soil.

Learning structure in gene expression data using deep architectures, with an application to gene clustering

Aman Gupta, Haohan Wang, Madhavi K. Ganapathiraju, 2015, bioRxiv.

Preparation of Au@ZnO Nanofilms by Combining Magnetron Sputtering and Post-Annealing for Selective Detection of Isopropanol

Haohan Wang, Peng Wu, Tingyu Chen, 2022, Chemosensors.

Highly response gas sensor based the Au-ZnO films processed by combining magnetron sputtering and Ar plasma treatment

Haohan Wang, Lanlan Guo, Ying-li Yang, 2023, Physica Scripta.

3-HBP: A Three-Level Hidden Bayesian Link Prediction Model in Social Networks

Yanbing Liu, Yunpeng Xiao, Haohan Wang, 2018, IEEE Transactions on Computational Social Systems.

Evaluating Protein-protein Interaction Predictors with a Novel 3-Dimensional Metric pdf

Haohan Wang, Madhavi K. Ganapathiraju, Haohan Wang, 2015, ArXiv.

Variable Selection in Heterogeneous Datasets: A Truncated-rank Sparse Linear Mixed Model with Applications to Genome-wide Association Studies

Eric P. Xing, Bryon Aragam, Haohan Wang, 2017, bioRxiv.

2018 Formatting Instructions for Authors Using LaTeX

E. Xing, Haohan Wang, Xiang Liu, 2017 .

Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies

Eric P. Xing, Bryon Aragam, Haohan Wang, 2017, BIBM.

A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction pdf

Eric P. Xing, Xiang Liu, Haohan Wang, 2017, ArXiv.

Rumor propagation dynamic model based on evolutionary game and anti-rumor

Yunpeng Xiao, Haohan Wang, Q. Li, 2018, Nonlinear Dynamics.

The Effect of Product Image Dynamism on Purchase Intention for Online Aquatic Product Shopping: An EEG Study

Haohan Wang, Ailian Wang, Lian Zhu, 2021, Psychology research and behavior management.

Tradeoffs of Linear Mixed Models in Genome-wide Association Studies pdf

Eric Xing, Bryon Aragam, Haohan Wang, 2021, J. Comput. Biol..

Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies.

E. Xing, Haohan Wang, Bryon Aragam, 2018, Methods.

MATERIALS 3 , 064403 ( 2019 ) Noncollinear spin structure in Fe 3 + x Co 3 − x Ti 2 ( x = 0 , 2 , 3 ) from neutron diffraction

Haohan Wang, D. Sellmyer, B. Balasubramanian, 2019 .

A Novel Chaotic Ant Swarm Based Clustering Algorithm for Clinical Prediction

Xi Yang, Lixiang Li, Haohan Wang, 2012 .

GLDA-FP: Gaussian LDA Model for Forward Prediction

Ming Xu, Yanbing Liu, Liangyun Liu, 2018, BigData Congress.

Nitride-Oxide-Metal Heterostructure with Self-Assembled Core-Shell Nanopillar Arrays: Effect of Ordering on Magneto-Optical Properties.

Haohan Wang, P. Lu, Haiyan Wang, 2021, Small.

Multimodal Transfer Deep Learning for Audio Visual Recognition pdf

Haohan Wang, Seungwhan Moon, Suyoun Kim, 2014, ArXiv.

TiN–Fe Vertically Aligned Nanocomposites Integrated on Silicon as a Multifunctional Platform toward Device Applications

Haohan Wang, Di Zhang, Juanjuan Lu, 2022, Crystals.

Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications

Eric P. Xing, Haohan Wang, Zhenglin Wu, 2018, bioRxiv.

Sparse Variable Selection on High Dimensional Heterogeneous Data With Tree Structured Responses

E. Xing, Haohan Wang, Xiang Liu, 2017, IEEE Access.

Coupled Mixed Model for joint genetic analysis of complex disorders from independently collected data sets: application to Alzheimer’s disease and substance use disorder

E. Xing, Haohan Wang, M. Vanyukov, 2022 .

Learning structure in gene expression data using deep architectures, with an application to gene clustering

Haohan Wang, M. Ganapathiraju, Aman Gupta, 2015, bioRxiv.