Xinhua Zhang - RankMe

161 papers A* 24A 11B 3C 6Misc 3Journal 56Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Language Model Distillation: A Temporal Difference Imitation Learning Perspective. AAAI Zishun Yu, Shangzhe Li, Xinhua Zhang
2026	J	`jnl`	TodyComm: Task-Oriented Dynamic Communication for Multi-Round LLM-based Multi-Agent System. CoRR Wenzhe Fan, Tommaso Tognoli, Henry Peng Zou, Chunyu Miao, Yibo Wang, Xinhua Zhang
2025	B	`conf`	ACKE: Attribute and Context Based Knowledge Encoding. IEEE Big Data Yuxi Qin, Xinhua Zhang
2025	J	`jnl`	DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer. IEEE Trans. Vis. Comput. Graph. Andrew Wentzel, Serageldin Attia, Xinhua Zhang, Guadalupe Canahuate, Clifton David Fuller, G. Elisabeta Marai
2025	A	`conf`	Fairness Risks for Group-Conditionally Missing Demographics. AISTATS Kaiqi Jiang, Wenzhe Fan, Mao Li, Xinhua Zhang
2025	—	`conf`	FlavorCharter: Development of a Smartphone App for Quantifying Food Flavor. ICDM (Workshops) Francesco Botto, Guadalupe Canahuate, Xinhua Zhang, Clifton D. Fuller, G. Elisabeta Marai
2025	J	`jnl`	Follow-Your-Creation: Empowering 4D Creation through Video Inpainting. CoRR Yue Ma, Kunyu Feng, Xinhua Zhang, Hongyu Liu, David Junhao Zhang, Jinbo Xing, Yinhan Zhang, Ayden Yang, Zeyu Wang, Qifeng Chen
2025	J	`jnl`	Follow-Your-Instruction: A Comprehensive MLLM Agent for World Data Synthesis. CoRR Kunyu Feng, Yue Ma, Xinhua Zhang, Boshi Liu, Yikuang Yuluo, Yinhan Zhang, Runtao Liu, Hongyu Liu, Zhiyuan Qin, Shanhui Mo, Qifeng Chen, Zeyu Wang
2025	J	`jnl`	Follow-Your-Motion: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning. CoRR Yue Ma, Yulong Liu, Qiyuan Zhu, Ayden Yang, Kunyu Feng, Xinhua Zhang, Zhifeng Li, Sirui Han, Chenyang Qi, Qifeng Chen
2025	J	`jnl`	Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control. CoRR Zeqian Long, Mingzhe Zheng, Kunyu Feng, Xinhua Zhang, Hongyu Liu, Harry Yang, Linfeng Zhang, Qifeng Chen, Yue Ma
2025	J	`jnl`	Language Model Distillation: A Temporal Difference Imitation Learning Perspective. CoRR Zishun Yu, Shangzhe Li, Xinhua Zhang
2025	J	`jnl`	PRO-Based Stratification Improves Model Prediction for Toxicity and Survival of Head and Neck Cancer Patients. IEEE J. Biomed. Health Informatics Eric Ababio Anyimadu, Yaohua Wang, Carla Floricel, Serageldin Kamel, Clifton David Fuller, Xinhua Zhang, G. Elisabeta Marai, Guadalupe Canahuate
2025	J	`jnl`	Teachers' Technological Innovation Intention and Performance in the E-Learning Context. J. Organ. End User Comput. Xinhua Zhang, Xuefeng Shao, Chengming Hu, Rebecca Kechen Dong, Chia-Huei Wu
2025	A*	`conf`	Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning. AAAI Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang, Xinhua Zhang
2025	J	`jnl`	Whole-genome Sequencing Association Analysis of Quantitative Platelet Traits in A Large Cohort of β-thalassemia. Genom. Proteom. Bioinform. Xingmin Wang, Qianqian Zhang, Xianming Chen, Yushan Huang, Wei Zhang, Liuhua Liao, Xinhua Zhang, Binbin Huang, Yueyan Huang, Yuhua Ye, Mengyang Song, Jinquan Lao, Juanjuan Chen, Xiaoqin Feng, Xingjiang Long, Zhixiang Liu, Weijian Zhu, Lian Yu, Chengwu Fan, Deguo Tang, Tianyu Zhong, Mingyan Fang, Caiyun Li, Chao Niu, Li Huang, Bin Lin, Xiaoyun Hua, Xin Jin, Zilin Li, Xiangmin Xu
2024	J	`jnl`	A Study of the Factors Influencing Teachers' Willingness to Use Generative Artificial Intelligence Based on the UTAUT Model. Int. J. Interact. Mob. Technol. Xinhua Zhang, Thitinant Wareewanich
2024	J	`jnl`	Assessment of Spatio-Temporal Dynamic Vegetation Evolution and Its Driving Mechanism on the Kubuqi Desert Using Multi-Source Satellite Remote Sensing. Remote. Sens. Linjiang Nan, Mingxiang Yang, Hejia Wang, Ping Miao, Hongli Ma, Hao Wang, Xinhua Zhang
2024	—	`conf`	Chinese Native Dog Breed Classification Method based on Improved ResNet. ICICT Xinhua Zhang, Chenwang Shen, Jiaxi Xu, Fenghao Yuan, Chaofan Li, Xu Liu
2024	—	`conf`	Collaborative Filtering for the Imputation of Patient Reported Outcomes. DEXA (1) Eric Ababio Anyimadu, Clifton David Fuller, Xinhua Zhang, G. Elisabeta Marai, Guadalupe Canahuate
2024	J	`jnl`	DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer. CoRR Andrew Wentzel, Serageldin Attia, Xinhua Zhang, Guadalupe Canahuate, Clifton David Fuller, G. Elisabeta Marai
2024	J	`jnl`	Distilling Conditional Diffusion Models for Offline Reinforcement Learning through Trajectory Stitching. CoRR Shangzhe Li, Xinhua Zhang
2024	J	`jnl`	Fairness Risks for Group-conditionally Missing Demographics. CoRR Kaiqi Jiang, Wenzhe Fan, Mao Li, Xinhua Zhang
2024	A	`conf`	Offline Reward Perturbation Boosts Distributional Shift in Online RL. UAI Zishun Yu, Siteng Kang, Xinhua Zhang
2024	J	`jnl`	The Impact of Technological Value Recognition on Job Performance Under Digital Transformation: The Mediating Role of Emotions in Digital Labor. J. Organ. End User Comput. Xinhua Zhang, Dian Sun, Renyu Jiang, Jingyi Wang, Xiaochun Ma
2024	J	`jnl`	Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning. CoRR Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang, Xinhua Zhang
2023	A*	`conf`	Actor-Critic Alignment for Offline-to-Online Reinforcement Learning. ICML Zishun Yu, Xinhua Zhang
2023	—	`conf`	Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients. ICHI Yaohua Wang, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, Clifton David Fuller, Xinhua Zhang, G. Elisabeta Marai, Guadalupe Canahuate
2023	A*	`conf`	Poisoning Generative Replay in Continual Learning to Promote Forgetting. ICML Siteng Kang, Zhan Shi, Xinhua Zhang
2022	J	`jnl`	An Efficient and Robust Multidimensional Data Aggregation Scheme for Smart Grid Based on Blockchain. IEEE Trans. Netw. Serv. Manag. Xinhua Zhang, Lin You, Gengran Hu
2022	A*	`conf`	Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats. NeurIPS Hongwei Jin, Zishun Yu, Xinhua Zhang
2022	A	`conf`	Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks. AISTATS Yeshu Li, Zhan Shi, Xinhua Zhang, Brian D. Ziebart
2022	J	`jnl`	Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors. CoRR Xinhua Zhang, Lance R. Williams
2022	J	`jnl`	Machine Learning for Detection of 3D Features using sparse X-ray data. CoRR 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
2022	A*	`conf`	Moment Distributionally Robust Tree Structured Prediction. NeurIPS Yeshu Li, Danyal Saeed, Xinhua Zhang, Brian D. Ziebart, Kevin Gimpel
2022	J	`jnl`	Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound. CoRR Hongwei Jin, Zishun Yu, Xinhua Zhang
2022	A	`conf`	Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound. UAI Hongwei Jin, Zishun Yu, Xinhua Zhang
2022	J	`jnl`	Similarity Equivariant Linear Transformation of Joint Orientation-Scale Space Representations. CoRR Xinhua Zhang, Lance R. Williams
2022	J	`jnl`	Systematic generation of moment invariant bases for 2D and 3D tensor fields. Pattern Recognit. Roxana Bujack, Xinhua Zhang, Tomás Suk, David H. Rogers
2022	A	`conf`	Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning. AISTATS Yingyi Ma, Xinhua Zhang
2021	J	`jnl`	Cogging Torque Reduction in PMSM in Wide Temperature Range by Response Surface Methodology. Symmetry Xiaoshuai Duan, Xinhua Zhang, Yongbin Tang, Minghui Hao
2021	A*	`conf`	Distributionally Robust Imitation Learning. NeurIPS Mohammad Ali Bashiri, Brian D. Ziebart, Xinhua Zhang
2021	J	`jnl`	Evaluation of the impact of urban river bends on the enhancement of aquatic habitats using a two-dimensional habitat suitability model. Ecol. Informatics Junzheng Liu, Xinhua Zhang, Zengpei Xu, Jia Wang, Bing Ma, Ruiying Xue, Qian Li
2021	J	`jnl`	Fixed-Time-Convergent Generalized Extended State Observer Based Motor Control Subject to Multiple Disturbances. IEEE Trans. Ind. Informatics Minnan Piao, Ying Wang, Mingwei Sun, Xinhua Zhang, Zengqiang Chen, Yongyi Yan
2021	A*	`conf`	Generalised Lipschitz Regularisation Equals Distributional Robustness. ICML Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith
2021	B	`conf`	Identifying Symptom Clusters Through Association Rule Mining. AIME Mikayla Biggs, Carla Floricel, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, G. Elisabeta Marai, Xinhua Zhang, Guadalupe Canahuate
2021	A*	`conf`	Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation. NeurIPS Mao Li, Kaiqi Jiang, Xinhua Zhang
2021	C	`conf`	Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes. IDEAS Yaohua Wang, Guadalupe Canahuate, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, Xinhua Zhang, Georgeta Elisabeta Marai
2020	A*	`conf`	Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks. NeurIPS Hongwei Jin, Zhan Shi, Venkata Jaya Shankar Ashish Peruri, Xinhua Zhang
2020	J	`jnl`	Cloud-aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN. Softw. Pract. Exp. Hengjin Ke, Dan Chen, Tejal Shah, Xianzeng Liu, Xinhua Zhang, Lei Zhang, Xiaoli Li
2020	A*	`conf`	Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space. ICML Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang
2020	J	`jnl`	Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space. CoRR Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang
2020	J	`jnl`	Generalised Lipschitz Regularisation Equals Distributional Robustness. CoRR Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith
2020	J	`jnl`	Improving Brain E-Health Services via High-Performance EEG Classification With Grouping Bayesian Optimization. IEEE Trans. Serv. Comput. Hengjin Ke, Dan Chen, Benyun Shi, Jindong Zhang, Xianzeng Liu, Xinhua Zhang, Xiaoli Li
2020	A*	`conf`	Proximal Mapping for Deep Regularization. NeurIPS Mao Li, Yingyi Ma, Xinhua Zhang
2020	J	`jnl`	Proximal Mapping for Deep Regularization. CoRR Mao Li, Yingyi Ma, Xinhua Zhang
2020	—	`conf`	Robust Training of Graph Convolutional Networks via Latent Perturbation. ECML/PKDD (3) Hongwei Jin, Xinhua Zhang
2019	J	`jnl`	Direction of Arrival Estimation Using Two Hydrophones: Frequency Diversity Technique for Passive Sonar. Sensors Peng Li, Xinhua Zhang, Wenlong Zhang
2019	A	`conf`	Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors. WACV Xinhua Zhang, Lance R. Williams
2019	—	`conf`	Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement. ICANN (Workshop) Hengjin Ke, Dan Chen, Lei Zhang, Xinhua Zhang, Xianzeng Liu, Xiaoli Li
2019	A	`conf`	Learning Invariant Representations with Kernel Warping. AISTATS Yingyi Ma, Vignesh Ganapathiraman, Xinhua Zhang
2019	A*	`conf`	Scaling Multinomial Logistic Regression via Hybrid Parallelism. KDD Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
2018	J	`jnl`	An Improved Inverse Beamforming Method: Azimuth Resolution Analysis for Weak Target Detection. Sensors Peng Li, Xinhua Zhang, Lanrui Li, Wenlong Zhang
2018	Misc	`conf`	Can Deep Learning Learn the Principle of Closed Contour Detection? ISVC Xinhua Zhang, Yijing Watkins, Garrett T. Kenyon
2018	J	`jnl`	Consistent Robust Adversarial Prediction for General Multiclass Classification. CoRR Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart
2018	A*	`conf`	Distributionally Robust Graphical Models. NeurIPS Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian D. Ziebart
2018	J	`jnl`	Distributionally Robust Graphical Models. CoRR Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian D. Ziebart
2018	A*	`conf`	Efficient and Consistent Adversarial Bipartite Matching. ICML Rizal Fathony, Sima Behpour, Xinhua Zhang, Brian D. Ziebart
2018	J	`jnl`	Exp-Concavity of Proper Composite Losses. CoRR Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang
2018	—	`conf`	Foreground Object Detection Combining Gaussian Mixture Model and Inter-Frame Difference in the Application of Classroom recording Apparatus. ICCAE Jun Zhu, Xinhua Zhang
2018	A*	`conf`	Inductive Two-layer Modeling with Parametric Bregman Transfer. ICML Vignesh Ganapathiraman, Zhan Shi, Xinhua Zhang, Yaoliang Yu
2017	—	`conf`	Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction. NIPS Zhan Shi, Xinhua Zhang, Yaoliang Yu
2017	—	`ch.`	Covariance Matrix. Encyclopedia of Machine Learning and Data Mining Xinhua Zhang
2017	—	`conf`	Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search. NIPS Mohammad Ali Bashiri, Xinhua Zhang
2017	—	`conf`	Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem. ECML/PKDD (1) Shin Matsushima, Hyokun Yun, Xinhua Zhang, S. V. N. Vishwanathan
2017	—	`ch.`	Empirical Risk Minimization. Encyclopedia of Machine Learning and Data Mining Xinhua Zhang
2017	—	`ch.`	Gaussian Distribution. Encyclopedia of Machine Learning and Data Mining Xinhua Zhang
2017	J	`jnl`	Generalized Conditional Gradient for Sparse Estimation. J. Mach. Learn. Res. Yaoliang Yu, Xinhua Zhang, Dale Schuurmans
2017	—	`ch.`	Kernel Methods. Encyclopedia of Machine Learning and Data Mining Xinhua Zhang
2017	—	`conf`	Online learner emotional analysis based on big dataset of online learning forum. CISP-BMEI Xinhua Zhang, Changri Luo, Tingting He, Xiaoli Yang, Zizhou Lu, Baohua Huang
2017	—	`ch.`	Regularization. Encyclopedia of Machine Learning and Data Mining Xinhua Zhang
2017	—	`ch.`	Structural Risk Minimization. Encyclopedia of Machine Learning and Data Mining Xinhua Zhang
2017	—	`ch.`	Support Vector Machines. Encyclopedia of Machine Learning and Data Mining Xinhua Zhang
2016	—	`conf`	Convex Two-Layer Modeling with Latent Structure. NIPS Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu, Junfeng Wen
2016	J	`jnl`	DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression. CoRR Parameswaran Raman, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
2016	J	`jnl`	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. Sheng Chen, Yudong Tian, Ali Behrangi, Junjun Hu, Yang Hong, Zengxin Zhang, Phillip M. Stepanian, Baoqing Hu, Xinhua Zhang
2016	J	`jnl`	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. Sheng Chen, Ali Behrangi, Yudong Tian, Junjun Hu, Yang Hong, Qiuhong Tang, Xiao-Ming Hu, Phillip M. Stepanian, Baoqing Hu, Xinhua Zhang
2016	A	`conf`	Scalable and Sound Low-Rank Tensor Learning. AISTATS Hao Cheng, Yaoliang Yu, Xinhua Zhang, Eric P. Xing, Dale Schuurmans
2015	—	`conf`	A Deconvolutional Competitive Algorithm for Building Sparse Hierarchical Representations. BICT Dylan M. Paiton, Sheng Y. Lundquist, William Shainin, Xinhua Zhang, Peter F. Schultz, Garrett T. Kenyon
2015	—	`conf`	A Deconvolutional Strategy for Implementing Large Patch Sizes Supports Improved Image Classification. BICT Xinhua Zhang, Garrett T. Kenyon
2015	A*	`conf`	Exp-Concavity of Proper Composite Losses. COLT Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang
2015	J	`jnl`	Hydrologic Evaluation of the TRMM Multisatellite Precipitation Analysis Over Ganjiang Basin in Humid Southeastern China. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Sheng Chen, Junjun Hu, Zengxin Zhang, Ali Behrangi, Yang Hong, Abebe S. Gebregiorgis, Jianrong Cao, Baoqing Hu, Xianwu Xue, Xinhua Zhang
2015	J	`jnl`	Inter-Comparison of High-Resolution Satellite Precipitation Products over Central Asia. Remote. Sens. Hao Guo, Sheng Chen, Anming Bao, Jujun Hu, Abebe S. Gebregiorgis, Xianwu Xue, Xinhua Zhang
2015	J	`jnl`	Intercomparison of Precipitation Estimates From WSR-88D Radar and TRMM Measurement Over Continental United States. IEEE Trans. Geosci. Remote. Sens. Sheng Chen, Yang Hong, Qing Cao, Yudong Tian, Junjun Hu, Xinhua Zhang, Weiyue Li, Nicholas Carr, Xinyi Shen, Lei Qiao
2015	J	`jnl`	Learning Forum Posts Topic Discovery and Its Application in Recommendation System. J. Softw. Changri Luo, Tingting He, Xinhua Zhang, Zibo Zhou
2015	J	`jnl`	Mapping the Precipitation Type Distribution Over the Contiguous United States Using NOAA/NSSL National Multi-Sensor Mosaic QPE. IEEE Trans. Geosci. Remote. Sens. Sheng Chen, Jian Zhang, Esther Mullens, Yang Hong, Ali Behrangi, Yudong Tian, Xiao-Ming Hu, Junjun Hu, Zengxin Zhang, Xinhua Zhang
2014	J	`jnl`	Accelerated training of max-margin Markov networks with kernels. Theor. Comput. Sci. Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2014	—	`conf`	Bayesian Models for Structured Sparse Estimation via Set Cover Prior. ECML/PKDD (2) Xianghang Liu, Xinhua Zhang, Tibério S. Caetano
2014	—	`conf`	Convex Deep Learning via Normalized Kernels. NIPS Özlem Aslan, Xinhua Zhang, Dale Schuurmans
2014	J	`jnl`	Energy-preserving finite volume element method for the improved Boussinesq equation. J. Comput. Phys. Quanxiang Wang, Zhiyue Zhang, Xinhua Zhang, Quanyong Zhu
2014	J	`jnl`	Generalized Conditional Gradient for Sparse Estimation. CoRR Yaoliang Yu, Xinhua Zhang, Dale Schuurmans
2014	—	`conf`	Pseudo-MDPs and factored linear action models. ADPRL Hengshuai Yao, Csaba Szepesvári, Bernardo Ávila Pires, Xinhua Zhang
2014	—	`conf`	Robust Bayesian Max-Margin Clustering. NIPS Changyou Chen, Jun Zhu, Xinhua Zhang
2013	A	`conf`	Convex Relaxations of Bregman Divergence Clustering. UAI Hao Cheng, Xinhua Zhang, Dale Schuurmans
2013	J	`jnl`	Convex Relaxations of Bregman Divergence Clustering. CoRR Hao Cheng, Xinhua Zhang, Dale Schuurmans
2013	—	`conf`	Convex Two-Layer Modeling. NIPS Özlem Aslan, Hao Cheng, Xinhua Zhang, Dale Schuurmans
2013	—	`conf`	Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space. NIPS Xinhua Zhang, Wee Sun Lee, Yee Whye Teh
2013	—	`conf`	Multi-phase fault-tolerant switched-flux permanent magnet motors having odd rotor pole number. ISIE Jinghua Ji, Wenxiang Zhao, Qian Chen, Xinhua Zhang, Jianxun Tang, Guohai Liu
2013	A*	`conf`	Open Problem: Lower bounds for Boosting with Hadamard Matrices. COLT Jiazhong Nie, Manfred K. Warmuth, S. V. N. Vishwanathan, Xinhua Zhang
2013	—	`conf`	Polar Operators for Structured Sparse Estimation. NIPS Xinhua Zhang, Yaoliang Yu, Dale Schuurmans
2013	Misc	`conf`	Protein-chemical Interaction Prediction via Kernelized Sparse Learning SVM. Pacific Symposium on Biocomputing Yi Shi, Xinhua Zhang, Xiaoping Liao, Guohui Lin, Dale Schuurmans
2012	—	`conf`	Accelerated Training for Matrix-norm Regularization: A Boosting Approach. NIPS Xinhua Zhang, Yaoliang Yu, Dale Schuurmans
2012	—	`conf`	Convex Multi-view Subspace Learning. NIPS Martha White, Yaoliang Yu, Xinhua Zhang, Dale Schuurmans
2012	A*	`conf`	Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations. ICML James Neufeld, Yaoliang Yu, Xinhua Zhang, Ryan Kiros, Dale Schuurmans
2012	J	`jnl`	Smoothing Multivariate Performance Measures CoRR Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2012	J	`jnl`	Smoothing multivariate performance measures. J. Mach. Learn. Res. Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2012	C	`conf`	Sparse Learning Based Linear Coherent Bi-clustering. WABI Yi Shi, Xiaoping Liao, Xinhua Zhang, Guohui Lin, Dale Schuurmans
2011	—	`conf`	A new method of the image pattern recognition based on neural networks. EMEIT Fujun Ren, Xinhua Zhang, Long Wang
2011	B	`conf`	Accelerated Training of Max-Margin Markov Networks with Kernels. ALT Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2011	A*	`conf`	Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. AAAI Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong Huang, Dale Schuurmans
2011	A*	`conf`	New Approximation Algorithms for Minimum Enclosing Convex Shapes. SODA Ankan Saha, S. V. N. Vishwanathan, Xinhua Zhang
2011	A	`conf`	Smoothing Multivariate Performance Measures. UAI Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2011	—	`conf`	Tow ship interference cancelling based on blind source separation algorithm. iCAST Xinhua Zhang, Wentao Fan, Zhijun Xia, Chunyu Kang
2010	A	`conf`	Bayesian Online Learning for Multi-label and Multi-variate Performance Measures. AISTATS Xinhua Zhang, Thore Graepel, Ralf Herbrich
2010	—	`ch.`	Covariance Matrix. Encyclopedia of Machine Learning Xinhua Zhang
2010	—	`ch.`	Empirical Risk Minimization. Encyclopedia of Machine Learning Xinhua Zhang
2010	Misc	`conf`	Existence and exponential stability of periodic solution for Cohen-Grossberg neural networks with hybrid delays. ICNC Xinhua Zhang, Zuoan Li, Kelin Li
2010	J	`jnl`	Faster Rates for training Max-Margin Markov Networks CoRR Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2010	—	`ch.`	Gaussian Distribution. Encyclopedia of Machine Learning Xinhua Zhang
2010	—	`ch.`	Kernel Methods. Encyclopedia of Machine Learning Xinhua Zhang
2010	—	`conf`	Lower Bounds on Rate of Convergence of Cutting Plane Methods. NIPS Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2010	J	`jnl`	Optimal Matrix Filter Design With Application to Filtering Short Data Records. IEEE Signal Process. Lett. Dong Han, Xinhua Zhang
2010	C	`conf`	Periodicity of Cohen-Grossberg-type fuzzy neural networks with time-varying delays and impulses. ICIS Jinming Liang, Xinhua Zhang
2010	—	`ch.`	Regularization. Encyclopedia of Machine Learning Xinhua Zhang
2010	J	`jnl`	Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies CoRR Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2010	—	`conf`	SJTU CIT at TAC 2010: Guided Summarization Task. TAC Peng Li, Xinhua Zhang, Yinglin Wang
2010	J	`jnl`	Stability in impulsive Cohen-Grossberg-type BAM neural networks with distributed delays. Appl. Math. Comput. Kelin Li, Liping Zhang, Xinhua Zhang, Zuoan Li
2010	—	`ch.`	Structural Risk Minimization. Encyclopedia of Machine Learning Xinhua Zhang
2010	—	`ch.`	Support Vector Machines. Encyclopedia of Machine Learning Xinhua Zhang
2009	—	`conf`	A New Kind of Method for DOA Estimation Based on Blind Source Separation and MVDR Beamforming. ICNC (2) Chunyu Kang, Xinhua Zhang, Dong Han
2009	—	`conf`	Blind Adaptive Beamformer Based on Independent Component Analysis for Underwater Passive Acoustic Source Separation. CSO (1) Zhijun Xia, Xinhua Zhang, Wentao Fan, Haimin Qian
2009	J	`jnl`	Lower Bounds for BMRM and Faster Rates for Training SVMs CoRR Ankan Saha, Xinhua Zhang, S. V. N. Vishwanathan
2008	A*	`conf`	Consistent image analogies using semi-supervised learning. CVPR Li Cheng, S. V. N. Vishwanathan, Xinhua Zhang
2008	—	`conf`	Kernel Measures of Independence for non-iid Data. NIPS Xinhua Zhang, Le Song, Arthur Gretton, Alexander J. Smola
2008	A*	`conf`	Tailoring density estimation via reproducing kernel moment matching. ICML Le Song, Xinhua Zhang, Alexander J. Smola, Arthur Gretton, Bernhard Schölkopf
2007	—	`conf`	A Fusion Algorithm of Multiple Classifiers for Recognition of Ships Radiated_Noises Based on Many-Person Decision-Makings Theory. FSKD (2) Chunyu Kang, Xinhua Zhang
2007	—	`conf`	A Research on Medical Image Interpolation Based on Cubic Convolution and Adaptive Interpolation. IMECS Anna Wang, Kai Luo, Peng Li, Xinhua Zhang
2007	—	`conf`	B Spline Wavelet Based Medical Image Edge Extraction. IMECS Anna Wang, Xinhua Zhang, Yu Chen, Kai Luo
2007	A*	`conf`	Conditional random fields for multi-agent reinforcement learning. ICML Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanathan
2007	—	`conf`	Iris Recognition Based on Wavelet Neural Network Transform System. IMECS Anna Wang, Yu Chen, Xinhua Zhang, Jie Wu
2006	—	`conf`	Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms. NIPS Xinhua Zhang, Wee Sun Lee
2005	—	`conf`	A Fault-Tolerant Routing Strategy for Fibonacci-Class Cubes. Asia-Pacific Computer Systems Architecture Conference Xinhua Zhang, Peter Loh
2005	—	`conf`	A Neural Network Blind Separation Method Based on Special Frequency Bins. ISNN (2) Anqing Zhang, Xuxiu Zhang, Tianshuang Qiu, Xinhua Zhang
2005	C	`conf`	A XML format secure protocol - OpenSST. AICCSA Xinhua Zhang, Chunyan Jiang, Wanjun Huang, Christoph Meinel
2005	C	`conf`	Hybrid Framework for Medical Image Segmentation. CAIP Chunyan Jiang, Xinhua Zhang, Christoph Meinel
2005	—	`conf`	Medical Image Segmentation Using a Combined Approach. VISION Chunyan Jiang, Xinhua Zhang, Christoph Meinel
2005	—	`conf`	Recognition of Radiated Noises of Ships Using Auditory Features and Support Vector Machines. ISNN (2) Xinhua Zhang, Chunyu Kang, Zhijun Xia
2004	C	`conf`	Routing based workflow for construction of distributed applications. ISCC Wanjun Huang, Xinhua Zhang, Uwe Roth, Christoph Meinel
2004	—	`conf`	Segmentation and quantification of brain tumor. VECIMS Chunyan Jiang, Xinhua Zhang, Wanjun Huang, Christoph Meinel
2004	—	`conf`	Underwater Acoustic Targets Classification Using Welch Spectrum Estimation and Neural Networks. ISNN (1) Chunyu Kang, Xinhua Zhang, Anqing Zhang, Hongwen Lin
2003	—	`conf`	A Fault-tolerant Routing Strategy for Gaussian Cube Using Gaussian Tree. ICPP Workshops Loh Peter, Xinhua Zhang
2003	—	`conf`	Enhance Opensst Protocol's Security with Smart Card. ICWI Xinhua Zhang, Alexandre Dulaunoy, Christoph Meinel