Xinhua Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 61

Top Venues

Publications

Kaiqi Jiang, Wenzhe Fan, Mao Li, Xinhua Zhang
Fairness Risks for Group-conditionally Missing Demographics. CoRR (2024)
Andrew Wentzel, Serageldin Attia, Xinhua Zhang, Guadalupe Canahuate, Clifton David Fuller, G. Elisabeta Marai
DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer. CoRR (2024)
Shangzhe Li, Xinhua Zhang
Distilling Conditional Diffusion Models for Offline Reinforcement Learning through Trajectory Stitching. CoRR (2024)
Xinhua Zhang, Chenwang Shen, Jiaxi Xu, Fenghao Yuan, Chaofan Li, Xu Liu
Chinese Native Dog Breed Classification Method based on Improved ResNet. ICICT (2024)
Eric Ababio Anyimadu, Clifton David Fuller, Xinhua Zhang, G. Elisabeta Marai, Guadalupe Canahuate
Collaborative Filtering for the Imputation of Patient Reported Outcomes. DEXA (1) (2024)
Zishun Yu, Xinhua Zhang
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning. ICML (2023)
Siteng Kang, Zhan Shi, Xinhua Zhang
Poisoning Generative Replay in Continual Learning to Promote Forgetting. ICML (2023)
Yaohua Wang, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, Clifton David Fuller, Xinhua Zhang, G. Elisabeta Marai, Guadalupe Canahuate
Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients. ICHI (2023)
Xinhua Zhang, Lin You, Gengran Hu
An Efficient and Robust Multidimensional Data Aggregation Scheme for Smart Grid Based on Blockchain. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
Bradley T. Wolfe, Michael J. Falato, Xinhua Zhang, Nga T. T. Nguyen-Fotiadis, J. P. Sauppe, P. M. Kozlowski, P. A. Keiter, R. E. Reinovsky, S. A. Batha, Zhehui Wang
Machine Learning for Detection of 3D Features using sparse X-ray data. CoRR (2022)
Lin You, Xinhua Zhang, Gengran Hu, Longbo Han
An Efficient and Robust Multidimensional Data Aggregation Scheme for Smart Grid Based on Blockchain. IACR Cryptol. ePrint Arch. 2022 (2022)
Roxana Bujack, Xinhua Zhang, Tomás Suk, David H. Rogers
Systematic generation of moment invariant bases for 2D and 3D tensor fields. Pattern Recognit. 123 (2022)
Hongwei Jin, Zishun Yu, Xinhua Zhang
Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats. NeurIPS (2022)
Yeshu Li, Danyal Saeed, Xinhua Zhang, Brian D. Ziebart, Kevin Gimpel
Moment Distributionally Robust Tree Structured Prediction. NeurIPS (2022)
Hongwei Jin, Zishun Yu, Xinhua Zhang
Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound. UAI (2022)
Xinhua Zhang, Lance R. Williams
Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors. CoRR (2022)
Yeshu Li, Zhan Shi, Xinhua Zhang, Brian D. Ziebart
Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks. AISTATS (2022)
Hongwei Jin, Zishun Yu, Xinhua Zhang
Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound. CoRR (2022)
Xinhua Zhang, Lance R. Williams
Similarity Equivariant Linear Transformation of Joint Orientation-Scale Space Representations. CoRR (2022)
Yingyi Ma, Xinhua Zhang
Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning. AISTATS (2022)
Mikayla Biggs, Carla Floricel, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, G. Elisabeta Marai, Xinhua Zhang, Guadalupe Canahuate
Identifying Symptom Clusters Through Association Rule Mining. AIME (2021)
Mao Li, Kaiqi Jiang, Xinhua Zhang
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation. NeurIPS (2021)
Minnan Piao, Ying Wang, Mingwei Sun, Xinhua Zhang, Zengqiang Chen, Yongyi Yan
Fixed-Time-Convergent Generalized Extended State Observer Based Motor Control Subject to Multiple Disturbances. IEEE Trans. Ind. Informatics 17 (12) (2021)
Xiaoshuai Duan, Xinhua Zhang, Yongbin Tang, Minghui Hao
Cogging Torque Reduction in PMSM in Wide Temperature Range by Response Surface Methodology. Symmetry 13 (10) (2021)
Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith
Generalised Lipschitz Regularisation Equals Distributional Robustness. ICML (2021)
Yaohua Wang, Guadalupe Canahuate, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, Xinhua Zhang, Georgeta Elisabeta Marai
Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes. IDEAS (2021)
Mohammad Ali Bashiri, Brian D. Ziebart, Xinhua Zhang
Distributionally Robust Imitation Learning. NeurIPS (2021)
Junzheng Liu, Xinhua Zhang, Zengpei Xu, Jia Wang, Bing Ma, Ruiying Xue, Qian Li
Evaluation of the impact of urban river bends on the enhancement of aquatic habitats using a two-dimensional habitat suitability model. Ecol. Informatics 65 (2021)
Hongwei Jin, Zhan Shi, Venkata Jaya Shankar Ashish Peruri, Xinhua Zhang
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks. NeurIPS (2020)
Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space. ICML (2020)
Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith
Generalised Lipschitz Regularisation Equals Distributional Robustness. CoRR (2020)
Hongwei Jin, Xinhua Zhang
Robust Training of Graph Convolutional Networks via Latent Perturbation. ECML/PKDD (3) (2020)
Mao Li, Yingyi Ma, Xinhua Zhang
Proximal Mapping for Deep Regularization. NeurIPS (2020)
Mao Li, Yingyi Ma, Xinhua Zhang
Proximal Mapping for Deep Regularization. CoRR (2020)
Hengjin Ke, Dan Chen, Tejal Shah, Xianzeng Liu, Xinhua Zhang, Lei Zhang, Xiaoli Li
Cloud-aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN. Softw. Pract. Exp. 50 (5) (2020)
Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space. CoRR (2020)
Hengjin Ke, Dan Chen, Benyun Shi, Jindong Zhang, Xianzeng Liu, Xinhua Zhang, Xiaoli Li
Improving Brain E-Health Services via High-Performance EEG Classification With Grouping Bayesian Optimization. IEEE Trans. Serv. Comput. 13 (4) (2020)
Xinhua Zhang, Lance Williams
Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors. WACV (2019)
Peng Li, Xinhua Zhang, Wenlong Zhang
Direction of Arrival Estimation Using Two Hydrophones: Frequency Diversity Technique for Passive Sonar. Sensors 19 (9) (2019)
Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
Scaling Multinomial Logistic Regression via Hybrid Parallelism. KDD (2019)
Yingyi Ma, Vignesh Ganapathiraman, Xinhua Zhang
Learning Invariant Representations with Kernel Warping. AISTATS (2019)
Hengjin Ke, Dan Chen, Lei Zhang, Xinhua Zhang, Xianzeng Liu, Xiaoli Li
Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement. ICANN (Workshop) (2019)
Rizal Fathony, Sima Behpour, Xinhua Zhang, Brian D. Ziebart
Efficient and Consistent Adversarial Bipartite Matching. ICML (2018)
Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart
Consistent Robust Adversarial Prediction for General Multiclass Classification. CoRR (2018)
Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang
Exp-Concavity of Proper Composite Losses. CoRR (2018)
Vignesh Ganapathiraman, Zhan Shi, Xinhua Zhang, Yaoliang Yu
Inductive Two-layer Modeling with Parametric Bregman Transfer. ICML (2018)
Xinhua Zhang, Yijing Watkins, Garrett T. Kenyon
Can Deep Learning Learn the Principle of Closed Contour Detection? ISVC (2018)
Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian D. Ziebart
Distributionally Robust Graphical Models. CoRR (2018)
Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian D. Ziebart
Distributionally Robust Graphical Models. NeurIPS (2018)
Peng Li, Xinhua Zhang, Lanrui Li, Wenlong Zhang
An Improved Inverse Beamforming Method: Azimuth Resolution Analysis for Weak Target Detection. Sensors 18 (12) (2018)
Jun Zhu, Xinhua Zhang
Foreground Object Detection Combining Gaussian Mixture Model and Inter-Frame Difference in the Application of Classroom recording Apparatus. ICCAE (2018)
Zhan Shi, Xinhua Zhang, Yaoliang Yu
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction. NIPS (2017)
Mohammad Ali Bashiri, Xinhua Zhang
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search. NIPS (2017)
Yaoliang Yu, Xinhua Zhang, Dale Schuurmans
Generalized Conditional Gradient for Sparse Estimation. J. Mach. Learn. Res. 18 (2017)
Xinhua Zhang, Changri Luo, Tingting He, Xiaoli Yang, Zizhou Lu, Baohua Huang
Online learner emotional analysis based on big dataset of online learning forum. CISP-BMEI (2017)
Shin Matsushima, Hyokun Yun, Xinhua Zhang, S. V. N. Vishwanathan
Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem. ECML/PKDD (1) (2017)
Hao Cheng, Yaoliang Yu, Xinhua Zhang, Eric P. Xing, Dale Schuurmans
Scalable and Sound Low-Rank Tensor Learning. AISTATS (2016)
Sheng Chen, Yudong Tian, Ali Behrangi, Junjun Hu, Yang Hong, Zengxin Zhang, Phillip M. Stepanian, Baoqing Hu, Xinhua Zhang
Precipitation Spectra Analysis Over China With High-Resolution Measurements From Optimally Merged Satellite/Gauge Observations - Part I: Spatial and Seasonal Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (7) (2016)
Parameswaran Raman, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression. CoRR (2016)
Sheng Chen, Ali Behrangi, Yudong Tian, Junjun Hu, Yang Hong, Qiuhong Tang, Xiao-Ming Hu, Phillip M. Stepanian, Baoqing Hu, Xinhua Zhang
Precipitation Spectra Analysis Over China With High-Resolution Measurements From Optimally-Merged Satellite/Gauge Observations - Part II: Diurnal Variability Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (7) (2016)
Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu, Junfeng Wen
Convex Two-Layer Modeling with Latent Structure. NIPS (2016)
Sheng Chen, Junjun Hu, Zengxin Zhang, Ali Behrangi, Yang Hong, Abebe S. Gebregiorgis, Jianrong Cao, Baoqing Hu, Xianwu Xue, Xinhua Zhang
Hydrologic Evaluation of the TRMM Multisatellite Precipitation Analysis Over Ganjiang Basin in Humid Southeastern China. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8 (9) (2015)
Xinhua Zhang, Garrett T. Kenyon
A Deconvolutional Strategy for Implementing Large Patch Sizes Supports Improved Image Classification. BICT (2015)
Sheng Chen, Jian Zhang, Esther Mullens, Yang Hong, Ali Behrangi, Yudong Tian, Xiao-Ming Hu, Junjun Hu, Zengxin Zhang, Xinhua Zhang
Mapping the Precipitation Type Distribution Over the Contiguous United States Using NOAA/NSSL National Multi-Sensor Mosaic QPE. IEEE Trans. Geosci. Remote. Sens. 53 (8) (2015)
Changri Luo, Tingting He, Xinhua Zhang, Zibo Zhou
Learning Forum Posts Topic Discovery and Its Application in Recommendation System. J. Softw. 10 (4) (2015)
Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang
Exp-Concavity of Proper Composite Losses. COLT (2015)
Sheng Chen, Yang Hong, Qing Cao, Yudong Tian, Junjun Hu, Xinhua Zhang, Weiyue Li, Nicholas Carr, Xinyi Shen, Lei Qiao
Intercomparison of Precipitation Estimates From WSR-88D Radar and TRMM Measurement Over Continental United States. IEEE Trans. Geosci. Remote. Sens. 53 (8) (2015)
Dylan M. Paiton, Sheng Y. Lundquist, William Shainin, Xinhua Zhang, Peter F. Schultz, Garrett T. Kenyon
A Deconvolutional Competitive Algorithm for Building Sparse Hierarchical Representations. BICT (2015)
Hao Guo, Sheng Chen, Anming Bao, Jujun Hu, Abebe S. Gebregiorgis, Xianwu Xue, Xinhua Zhang
Inter-Comparison of High-Resolution Satellite Precipitation Products over Central Asia. Remote. Sens. 7 (6) (2015)
Yaoliang Yu, Xinhua Zhang, Dale Schuurmans
Generalized Conditional Gradient for Sparse Estimation. CoRR (2014)
Quanxiang Wang, Zhiyue Zhang, Xinhua Zhang, Quanyong Zhu
Energy-preserving finite volume element method for the improved Boussinesq equation. J. Comput. Phys. 270 (2014)
Changyou Chen, Jun Zhu, Xinhua Zhang
Robust Bayesian Max-Margin Clustering. NIPS (2014)
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
Accelerated training of max-margin Markov networks with kernels. Theor. Comput. Sci. 519 (2014)
Hengshuai Yao, Csaba Szepesvári, Bernardo Ávila Pires, Xinhua Zhang
Pseudo-MDPs and factored linear action models. ADPRL (2014)
Xianghang Liu, Xinhua Zhang, Tibério S. Caetano
Bayesian Models for Structured Sparse Estimation via Set Cover Prior. ECML/PKDD (2) (2014)
Özlem Aslan, Xinhua Zhang, Dale Schuurmans
Convex Deep Learning via Normalized Kernels. NIPS (2014)
Özlem Aslan, Hao Cheng, Xinhua Zhang, Dale Schuurmans
Convex Two-Layer Modeling. NIPS (2013)
Hao Cheng, Xinhua Zhang, Dale Schuurmans
Convex Relaxations of Bregman Divergence Clustering. CoRR (2013)
Xinhua Zhang, Yaoliang Yu, Dale Schuurmans
Polar Operators for Structured Sparse Estimation. NIPS (2013)
Yi Shi, Xinhua Zhang, Xiaoping Liao, Guohui Lin, Dale Schuurmans
Protein-chemical Interaction Prediction via Kernelized Sparse Learning SVM. Pacific Symposium on Biocomputing (2013)
Jiazhong Nie, Manfred K. Warmuth, S. V. N. Vishwanathan, Xinhua Zhang
Open Problem: Lower bounds for Boosting with Hadamard Matrices. COLT (2013)
Hao Cheng, Xinhua Zhang, Dale Schuurmans
Convex Relaxations of Bregman Divergence Clustering. UAI (2013)
Xinhua Zhang, Wee Sun Lee, Yee Whye Teh
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space. NIPS (2013)
Jinghua Ji, Wenxiang Zhao, Qian Chen, Xinhua Zhang, Jianxun Tang, Guohai Liu
Multi-phase fault-tolerant switched-flux permanent magnet motors having odd rotor pole number. ISIE (2013)
Yi Shi, Xiaoping Liao, Xinhua Zhang, Guohui Lin, Dale Schuurmans
Sparse Learning Based Linear Coherent Bi-clustering. WABI (2012)
James Neufeld, Yaoliang Yu, Xinhua Zhang, Ryan Kiros, Dale Schuurmans
Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations. ICML (2012)
Xinhua Zhang, Yaoliang Yu, Dale Schuurmans
Accelerated Training for Matrix-norm Regularization: A Boosting Approach. NIPS (2012)
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
Smoothing multivariate performance measures. J. Mach. Learn. Res. 13 (2012)
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
Smoothing Multivariate Performance Measures CoRR (2012)
Martha White, Yaoliang Yu, Xinhua Zhang, Dale Schuurmans
Convex Multi-view Subspace Learning. NIPS (2012)
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
Accelerated Training of Max-Margin Markov Networks with Kernels. ALT (2011)
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong Huang, Dale Schuurmans
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. AAAI (2011)
Ankan Saha, S. V. N. Vishwanathan, Xinhua Zhang
New Approximation Algorithms for Minimum Enclosing Convex Shapes. SODA (2011)
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
Smoothing Multivariate Performance Measures. UAI (2011)
Fujun Ren, Xinhua Zhang, Long Wang
A new method of the image pattern recognition based on neural networks. EMEIT (2011)
Xinhua Zhang, Wentao Fan, Zhijun Xia, Chunyu Kang
Tow ship interference cancelling based on blind source separation algorithm. iCAST (2011)
Jinming Liang, Xinhua Zhang
Periodicity of Cohen-Grossberg-type fuzzy neural networks with time-varying delays and impulses. ICIS (2010)
Kelin Li, Liping Zhang, Xinhua Zhang, Zuoan Li
Stability in impulsive Cohen-Grossberg-type BAM neural networks with distributed delays. Appl. Math. Comput. 215 (11) (2010)
Xinhua Zhang, Thore Graepel, Ralf Herbrich
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures. AISTATS (2010)
Peng Li, Xinhua Zhang, Yinglin Wang
SJTU CIT at TAC 2010: Guided Summarization Task. TAC (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xinhua Zhang