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ORCIDRichard Y. D. Xu
Richard Yi Da Xu – Richard Yida Xu – Richard Xu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[i33]Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Song Guo:
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning. CoRR abs/2408.08703 (2024)- 2023
- [j48]Can Zhang
, Richard Yi Da Xu, Xu Zhang, Wanming Huang:
Capture and control content discrepancies via normalised flow transfer. Pattern Recognit. Lett. 165: 161-167 (2023) - [j47]Yi Huang, Ying Li, Guillaume Jourjon, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Darren Webb, Richard Yi Da Xu:
Calibrated reconstruction based adversarial autoencoder model for novelty detection. Pattern Recognit. Lett. 169: 50-57 (2023) - [j46]Wei Huang, Chunrui Liu, Yilan Chen, Richard Yi Da Xu, Miao Zhang, Tsui-Wei Weng:
Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection. Trans. Mach. Learn. Res. 2023 (2023) - [c64]Sen Pei, Jiaxi Sun, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng:
Domain Decorrelation with Potential Energy Ranking. AAAI 2023: 2020-2028 - [c63]Shengchao Zhou, Gaofeng Meng, Zhaoxiang Zhang, Richard Yi Da Xu, Shiming Xiang:
Robust Feature Rectification of Pretrained Vision Models for Object Recognition. AAAI 2023: 3796-3804 - [c62]Qimeng Cao, Qing Yin, Yunya Song, Zhihua Wang, Yujun Chen, Richard Yi Da Xu, Xian Yang:
RTANet: Recommendation Target-Aware Network Embedding. ICWSM 2023: 84-94 - [i32]Hong-Bo Xie, Caoyuan Li, Shuliang Wang, Richard Yi Da Xu, Kerrie L. Mengersen:
A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning. CoRR abs/2301.07272 (2023) - [i31]Haotian Li, Lingzhi Wang, Yuliang Wei, Richard Yi Da Xu, Bailing Wang:
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation. CoRR abs/2309.14770 (2023) - 2022
- [j45]Helen H. Lou, Jian Fang, Huilong Gai, Richard Xu, Sidney Lin:
A novel zone-based machine learning approach for the prediction of the performance of industrial flares. Comput. Chem. Eng. 162: 107795 (2022) - [j44]Ying Li, Yi Huang, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Guillaume Jourjon, Darren Webb, David B. Smith, Richard Yi Da Xu:
From traffic classes to content: A hierarchical approach for encrypted traffic classification. Comput. Networks 212: 109017 (2022) - [j43]Chenghao Zhang, Gaofeng Meng, Richard Yi Da Xu, Shiming Xiang, Chunhong Pan:
Learning adversarial point-wise domain alignment for stereo matching. Neurocomputing 491: 564-574 (2022) - [j42]Zhenguo Shi, Qingqing Cheng, J. Andrew Zhang, Richard Yida Xu:
Environment-Robust WiFi-Based Human Activity Recognition Using Enhanced CSI and Deep Learning. IEEE Internet Things J. 9(24): 24643-24654 (2022) - [j41]Steven Y. K. Wong, Jennifer S. K. Chan, Lamiae Azizi, Richard Y. D. Xu:
Time-varying neural network for stock return prediction. Intell. Syst. Account. Finance Manag. 29(1): 3-18 (2022) - [j40]Xian Yang, Shuo Wang, Yuting Xing, Ling Li, Richard Yi Da Xu, Karl J. Friston, Yike Guo:
Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19. PLoS Comput. Biol. 18(2) (2022) - [j39]Yi Huang, Ying Li, Timothy Heyes, Guillaume Jourjon, Adriel Cheng, Suranga Seneviratne, Kanchana Thilakarathna, Darren Webb, Richard Yi Da Xu:
Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout. Pattern Recognit. Lett. 159: 132-139 (2022) - [j38]Andre Pearce, J. Andrew Zhang, Richard Xu:
A Combined mmWave Tracking and Classification Framework Using a Camera for Labeling and Supervised Learning. Sensors 22(22): 8859 (2022) - [j37]Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu:
Unsupervised Clothing Change Adaptive Person ReID. IEEE Signal Process. Lett. 29: 304-308 (2022) - [j36]Shuai Jiang, Kan Li, Richard Yi Da Xu:
Magnitude Bounded Matrix Factorisation for Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(4): 1856-1869 (2022) - [j35]Zhenguo Shi, J. Andrew Zhang, Richard Yida Xu, Qingqing Cheng:
Environment-Robust Device-Free Human Activity Recognition With Channel-State-Information Enhancement and One-Shot Learning. IEEE Trans. Mob. Comput. 21(2): 540-554 (2022) - [c61]Qing Yin, Zhihua Wang, Yunya Song, Richard Yida Xu, Shuai Niu, Liang Bai, Yike Guo, Xian Yang:
Improving Deep Embedded Clustering via Learning Cluster-level Representations. COLING 2022: 2226-2236 - [c60]Wei Huang, Yayong Li, Weitao Du, Richard Y. D. Xu, Jie Yin, Ling Chen, Miao Zhang:
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective. ICLR 2022 - [c59]Lu Mi, Richard Xu, Sridhama Prakhya, Albert Lin, Nir Shavit, Aravinthan D. T. Samuel, Srinivas C. Turaga:
Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity. ICLR 2022 - [i30]Wei Huang, Chunrui Liu, Yilan Chen, Tianyu Liu, Richard Yi Da Xu:
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning. CoRR abs/2202.01958 (2022) - [i29]Leijie Wu, Song Guo, Yaohong Ding, Junxiao Wang, Wenchao Xu, Richard Yida Xu, Jie Zhang:
Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application. CoRR abs/2211.08543 (2022) - [i28]Yingchun Wang, Song Guo, Jingcai Guo, Weizhan Zhang, Richard Yida Xu, Jie Zhang, Yi Liu:
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning. CoRR abs/2212.03537 (2022) - 2021
- [j34]Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Yang Li, Richard Yi Da Xu:
RGB-IR cross-modality person ReID based on teacher-student GAN model. Pattern Recognit. Lett. 150: 155-161 (2021) - [j33]Wei Huang, Richard Yi Da Xu:
Gaussian process latent variable model factorization for context-aware recommender systems. Pattern Recognit. Lett. 151: 281-287 (2021) - [j32]Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Kerrie L. Mengersen:
Kernelized Sparse Bayesian Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32(1): 391-404 (2021) - [c58]Christos Markos, James J. Q. Yu, Richard Yi Da Xu:
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning. AAAI 2021: 390-398 - [c57]Chapman Siu, Jason Traish, Richard Yi Da Xu:
Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning. ACML 2021: 438-453 - [c56]Steven Y. K. Wong, Jennifer S. K. Chan, Lamiae Azizi, Richard Y. D. Xu:
Supervised Temporal Autoencoder for Stock Return Time-series Forecasting. COMPSAC 2021: 1735-1741 - [c55]Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu:
Resolution-Invariant Person Reid Based On Feature Transformation And Self-Weighted Attention. ICIP 2021: 1134-1138 - [c54]Wei Huang, Weitao Du, Richard Yi Da Xu:
On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. IJCAI 2021: 2577-2583 - [i27]Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu:
Resolution-invariant Person ReID Based on Feature Transformation and Self-weighted Attention. CoRR abs/2101.04544 (2021) - [i26]Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen:
Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss. CoRR abs/2103.03113 (2021) - [i25]Sen Pei, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng:
Alleviating Mode Collapse in GAN via Diversity Penalty Module. CoRR abs/2108.02353 (2021) - [i24]Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yida Xu:
Unsupervised clothing change adaptive person ReID. CoRR abs/2109.03702 (2021) - [i23]Chapman Siu, Jason M. Traish, Richard Yi Da Xu:
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning. CoRR abs/2109.09034 (2021) - [i22]Chapman Siu, Jason M. Traish, Richard Yi Da Xu:
Dual Behavior Regularized Reinforcement Learning. CoRR abs/2109.09037 (2021) - [i21]Chapman Siu, Jason Traish, Richard Yi Da Xu:
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures. CoRR abs/2109.09038 (2021) - [i20]Sen Pei, Xin Zhang, Richard Yida Xu, Gaofeng Meng:
GAN Based Boundary Aware Classifier for Detecting Out-of-distribution Samples. CoRR abs/2112.11648 (2021) - 2020
- [j31]Kael Dai, Sergey L. Gratiy, Yazan N. Billeh, Richard Xu, Binghuang Cai, Nicholas Cain, Atle E. Rimehaug, Alexander J. Stasik, Gaute T. Einevoll, Stefan Mihalas, Christof Koch, Anton Arkhipov:
Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. PLoS Comput. Biol. 16(11) (2020) - [j30]Yang Li, Kan Li, Xinxin Wang, Richard Yi Da Xu:
Exploring temporal consistency for human pose estimation in videos. Pattern Recognit. 103: 107258 (2020) - [j29]Minqi Li, Richard Yida Xu, Jing Xin, Kaibing Zhang, Junfeng Jing:
Fast non-rigid points registration with cluster correspondences projection. Signal Process. 170: 107425 (2020) - [j28]Caoyuan Li, Hong-Bo Xie, Kerrie L. Mengersen, Xuhui Fan, Richard Yi Da Xu, Scott A. Sisson, Sabine Van Huffel:
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures. IEEE Trans. Signal Process. 68: 3860-3870 (2020) - [c53]Yang Li, Kan Li, Shuai Jiang, Ziyue Zhang, Congzhentao Huang, Richard Yi Da Xu:
Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation. AAAI 2020: 11442-11449 - [c52]Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao:
Mean Field Theory for Deep Dropout Networks: Digging up Gradient Backpropagation Deeply. ECAI 2020: 1215-1222 - [c51]Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason M. Traish, Chen Deng, Sam Ferguson, Richard Yi Da Xu:
End-to-end Dynamic Matching Network for Multi-view Multi-person 3D Pose Estimation. ECCV (28) 2020: 477-493 - [c50]Zhenguo Shi, J. Andrew Zhang, Richard Y. D. Xu, Qingqing Cheng, Andre Pearce:
Towards Environment-independent Human Activity Recognition using Deep Learning and Enhanced CSI. GLOBECOM 2020: 1-6 - [c49]Zhenguo Shi, J. Andrew Zhang, Richard Yida Xu, Qingqing Cheng:
WiFi-Based Activity Recognition using Activity Filter and Enhanced Correlation with Deep Learning. ICC Workshops 2020: 1-6 - [c48]Ziyue Zhang, Richard Yi Da Xu, Shuai Jiang, Yang Li, Congzhentao Huang, Chen Deng:
Illumination Adaptive Person Reid Based on Teacher-Student Model and Adversarial Training. ICIP 2020: 2321-2325 - [c47]Siqi Zhang, Ling Luo, Zhidong Li, Yang Wang, Fang Chen, Richard Xu:
Simultaneous Customer Segmentation and Behavior Discovery. ICONIP (4) 2020: 122-130 - [c46]Wanming Huang, Richard Yida Xu, Shuai Jiang, Xuan Liang, Ian J. Oppermann:
GAN-based Gaussian Mixture Model Responsibility Learning. ICPR 2020: 3467-3474 - [c45]Jingwei Liu, J. Andrew Zhang, Richard Xu, Andre Pearce, Wei Ni, Mark Hedley:
Gaussian Mixture Model based Convolutional Sparse Coding for Radar Heartbeat Detection. ICSPCS 2020: 1-6 - [c44]Hong-Bo Xie, Caoyuan Li, Kerrie L. Mengersen, Shuliang Wang, Richard Yi Da Xu:
Nonparametric Bayesian Nonnegative Matrix Factorization. MDAI 2020: 132-141 - [c43]Luke Marsh, Madeleine Cochrane, Riley Lodge, Brendan Sims, Jason M. Traish, Richard Y. D. Xu:
Autonomous Target Allocation Recommendations. SSCI 2020: 1403-1410 - [i19]Ziyue Zhang, Richard Y. D. Xu, Shuai Jiang, Yang Li, Congzhentao Huang, Chen Deng:
Illumination adaptive person reid based on teacher-student model and adversarial training. CoRR abs/2002.01625 (2020) - [i18]Steven Y. K. Wong, Jennifer S. K. Chan, Lamiae Azizi, Richard Y. D. Xu:
Non-stationary neural network for stock return prediction. CoRR abs/2003.02515 (2020) - [i17]Wei Huang, Weitao Du, Richard Yi Da Xu:
On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. CoRR abs/2004.05867 (2020) - [i16]Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Yang Li, Richard Yi Da Xu:
RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model. CoRR abs/2007.07452 (2020) - [i15]Wei Huang, Weitao Du, Richard Yi Da Xu, Chunrui Liu:
Implicit bias of deep linear networks in the large learning rate phase. CoRR abs/2011.12547 (2020)
2010 – 2019
- 2019
- [j27]Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Scott A. Sisson, Kerrie L. Mengersen:
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator. IEEE Trans. Image Process. 28(10): 4899-4911 (2019) - [j26]Shuai Jiang, Kan Li, Richard Yi Da Xu:
Relative Pairwise Relationship Constrained Non-Negative Matrix Factorisation. IEEE Trans. Knowl. Data Eng. 31(8): 1595-1609 (2019) - [j25]Wei He, Changyin Sun, Donald C. Wunsch, Richard Yi Da Xu:
Guest Editorial Special Issue on Intelligent Control Through Neural Learning and Optimization for Human-Machine Hybrid Systems. IEEE Trans. Neural Networks Learn. Syst. 30(12): 3530-3533 (2019) - [c42]Wanming Huang, Richard Yi Da Xu, Ian J. Oppermann:
Realistic Image Generation using Region-phrase Attention. ACML 2019: 284-299 - [c41]Wanming Huang, Richard Yi Da Xu, Ian J. Oppermann:
Efficient Diversified Mini-Batch Selection using Variable High-layer Features. ACML 2019: 300-315 - [c40]Zhenguo Shi, J. Andrew Zhang, Richard Yi Da Xu, Qingqing Cheng:
Deep Learning Networks for Human Activity Recognition with CSI Correlation Feature Extraction. ICC 2019: 1-6 - [c39]Kai Zhou, Xiangfeng Luo, Hao Wang, Richard Y. D. Xu:
Multi-task Learning for Relation Extraction. ICTAI 2019: 1480-1487 - [c38]Qiongxing Tao, Xiangfeng Luo, Hao Wang, Richard Y. D. Xu:
Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts. ICTAI 2019: 1574-1580 - [c37]Hong-Bo Xie, Caoyuan Li, Richard Yi Da Xu, Kerrie L. Mengersen:
Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation. LOD 2019: 484-495 - [i14]Maoying Qiao, Wei Bian, Richard Yida Xu, Dacheng Tao:
Diversified Hidden Markov Models for Sequential Labeling. CoRR abs/1904.03170 (2019) - [i13]Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao:
Mean field theory for deep dropout networks: digging up gradient backpropagation deeply. CoRR abs/1912.09132 (2019) - [i12]Wei Huang, Richard Yi Da Xu:
Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems. CoRR abs/1912.09593 (2019) - 2018
- [j24]Wankou Yang, Jun Li, Hao Zheng, Richard Yi Da Xu:
A Nuclear Norm Based Matrix Regression Based Projections Method for Feature Extraction. IEEE Access 6: 7445-7451 (2018) - [j23]Xiang Feng, Wanggen Wan, Richard Yi Da Xu, Stuart W. Perry, Pengfei Li, Song Zhu:
A novel spatial pooling method for 3D mesh quality assessment based on percentile weighting strategy. Comput. Graph. 74: 12-22 (2018) - [j22]Xiang Feng, Wanggen Wan, Richard Yi Da Xu, Stuart W. Perry, Song Zhu, Zexin Liu:
A new mesh visual quality metric using saliency weighting-based pooling strategy. Graph. Model. 99: 1-12 (2018) - [j21]Xiang Feng, Wanggen Wan, Richard Yi Da Xu, Haoyu Chen, Pengfei Li, J. Alfredo Sánchez:
A perceptual quality metric for 3D triangle meshes based on spatial pooling. Frontiers Comput. Sci. 12(4): 798-812 (2018) - [j20]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1835-1849 (2018) - [j19]Ava Bargi, Richard Yi Da Xu, Massimo Piccardi:
AdOn HDP-HMM: An Adaptive Online Model for Segmentation and Classification of Sequential Data. IEEE Trans. Neural Networks Learn. Syst. 29(9): 3953-3968 (2018) - [c36]Zhenguo Shi, J. Andrew Zhang, Richard Yi Da Xu, Gengfa Fang:
Human Activity Recognition Using Deep Learning Networks with Enhanced Channel State Information. GLOBECOM Workshops 2018: 1-6 - [c35]Ying Li, Yi Huang, Richard Yi Da Xu, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Darren Webb, Guillaume Jourjon:
Deep Content: Unveiling Video Streaming Content from Encrypted WiFi Traffic. NCA 2018: 1-8 - [i11]Shuai Jiang, Kan Li, Richard Yida Xu:
Relative Pairwise Relationship Constrained Non-negative Matrix Factorisation. CoRR abs/1803.02218 (2018) - [i10]Chapman Siu, Richard Yi Da Xu:
Diverse Online Feature Selection. CoRR abs/1806.04308 (2018) - [i9]Shuai Jiang, Kan Li, Richard Yi Da Xu:
Magnitude Bounded Matrix Factorisation for Recommender Systems. CoRR abs/1807.05515 (2018) - 2017
- [j18]Weidong Liu, Xiangfeng Luo, Jun Zhang, Ruirong Xue, Richard Yi Da Xu:
Semantic summary automatic generation in news event. Concurr. Comput. Pract. Exp. 29(24) (2017) - [j17]Yufei Chen, Xiaodong Yue, Richard Yi Da Xu, Hamido Fujita:
Region scalable active contour model with global constraint. Knowl. Based Syst. 120: 57-73 (2017) - [j16]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
A Bayesian nonparametric model for multi-label learning. Mach. Learn. 106(11): 1787-1815 (2017) - [j15]Zheng Xu, Junchi Yan, Richard Yida Xu, Lin Mei:
Guest Editorial: Visual Multimedia Learning from Big Surveillance Data. Multim. Tools Appl. 76(13): 14557 (2017) - [j14]Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song:
Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network. IEEE Trans. Cybern. 47(3): 589-599 (2017) - [j13]Jiatong Li, Chenwei Deng, Richard Yi Da Xu, Dacheng Tao, Baojun Zhao:
Robust Object Tracking With Discrete Graph-Based Multiple Experts. IEEE Trans. Image Process. 26(6): 2736-2750 (2017) - [j12]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes. IEEE Trans. Knowl. Data Eng. 29(7): 1357-1369 (2017) - [i8]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu:
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization. CoRR abs/1707.05420 (2017) - 2016
- [j11]Furong Peng, Jianfeng Lu, Yongli Wang, Richard Yi Da Xu, Chao Ma, Jingyu Yang:
N-dimensional Markov random field prior for cold-start recommendation. Neurocomputing 191: 187-199 (2016) - [j10]Jiatong Li, Baojun Zhao, Chenwei Deng, Richard Yi Da Xu:
Time Varying Metric Learning for visual tracking. Pattern Recognit. Lett. 80: 157-164 (2016) - [j9]Maoying Qiao, Richard Yi Da Xu, Wei Bian, Dacheng Tao:
Fast Sampling for Time-Varying Determinantal Point Processes. ACM Trans. Knowl. Discov. Data 11(1): 8:1-8:24 (2016) - [c34]Qiang Li, Wei Bian, Richard Yi Da Xu, Jane You, Dacheng Tao:
Random Mixed Field Model for Mixed-Attribute Data Restoration. AAAI 2016: 1244-1250 - [c33]Furong Peng, Xuan Lu, Jianfeng Lu, Richard Yi Da Xu, Cheng Luo, Chao Ma, Jingyu Yang:
MetricRec: Metric Learning for Cold-Start Recommendations. ADMA 2016: 445-458 - [c32]Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao:
Diversified hidden Markov models for sequential labeling. ICDE 2016: 1512-1513 - [c31]Xuhui Fan, Richard Yi Da Xu, Longbing Cao:
Copula Mixed-Membership Stochastic Blockmodel. IJCAI 2016: 1462-1468 - 2015
- [j8]Michael Kemp, Richard Yi Da Xu:
Geometrically-constrained balloon fitting for multiple connected ellipses. Pattern Recognit. 48(7): 2198-2208 (2015) - [j7]Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao:
Diversified Hidden Markov Models for Sequential Labeling. IEEE Trans. Knowl. Data Eng. 27(11): 2947-2960 (2015) - [j6]Xuhui Fan, Longbing Cao, Richard Yi Da Xu:
Dynamic Infinite Mixed-Membership Stochastic Blockmodel. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2072-2085 (2015) - [c30]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. ICDM 2015: 489-498 - [c29]Minqi Li, Richard Yi Da Xu, Xiangjian He:
Face hallucination based on nonparametric Bayesian learning. ICIP 2015: 986-990 - [c28]Fengli Zhang, Jun Li, Feng Li, Min Xu, Richard Y. D. Xu, Xiangjian He:
Community Detection Based on Links and Node Features in Social Networks. MMM (1) 2015: 418-429 - [i7]Ava Bargi, Richard Yi Da Xu, Massimo Piccardi:
An Adaptive Online HDP-HMM for Segmentation and Classification of Sequential Data. CoRR abs/1503.02761 (2015) - [i6]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process. CoRR abs/1503.08535 (2015) - [i5]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Nonparametric Relational Topic Models through Dependent Gamma Processes. CoRR abs/1503.08542 (2015) - 2014
- [c27]Ava Bargi, Richard Yi Da Xu, Zoubin Ghahramani, Massimo Piccardi:
A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response. AISTATS 2014: 77-85 - [c26]Ava Bargi, Richard Yi Da Xu, Massimo Piccardi:
An Infinite Adaptive Online Learning Model for Segmentation and Classification of Streaming Data. ICPR 2014: 3440-3445 - 2013
- [j5]Ehsan Zare Borzeshi, Óscar Pérez Concha, Richard Yi Da Xu, Massimo Piccardi:
Joint Action Segmentation and Classification by an Extended Hidden Markov Model. IEEE Signal Process. Lett. 20(12): 1207-1210 (2013) - [i4]Xuhui Fan, Longbing Cao, Richard Yi Da Xu:
Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations. CoRR abs/1306.2733 (2013) - [i3]Xuhui Fan, Longbing Cao, Richard Yi Da Xu:
Dynamic Infinite Mixed-Membership Stochastic Blockmodel. CoRR abs/1306.2999 (2013) - [i2]Ava Bargi, Richard Yi Da Xu, Massimo Piccardi:
A non-parametric conditional factor regression model for high-dimensional input and response. CoRR abs/1307.0578 (2013) - [i1]Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song:
Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network. CoRR abs/1310.1545 (2013) - 2012
- [c25]Ava Bargi, Richard Yi Da Xu, Massimo Piccardi:
An online HDP-HMM for joint action segmentation and classification in motion capture data. CVPR Workshops 2012: 1-7 - 2011
- [c24]Óscar Pérez Concha, Richard Y. D. Xu, Zia Moghaddam, Massimo Piccardi:
HMM-MIO: An enhanced hidden Markov model for action recognition. CVPR Workshops 2011: 62-69 - [c23]Ehsan Zare Borzeshi, Massimo Piccardi, Richard Yi Da Xu:
A discriminative prototype selection approach for graph embedding in human action recognition. ICCV Workshops 2011: 1295-1301 - [c22]Ehsan Zare Borzeshi, Richard Yi Da Xu, Massimo Piccardi:
Automatic Human Action Recognition in Videos by Graph Embedding. ICIAP (2) 2011: 19-28 - 2010
- [j4]Richard Yi Da Xu, Michael Kemp:
An iterative approach for fitting multiple connected ellipse structure to silhouette. Pattern Recognit. Lett. 31(13): 1860-1867 (2010) - [j3]Richard Yi Da Xu, Michael Kemp:
Fitting Multiple Connected Ellipses to an Image Silhouette Hierarchically. IEEE Trans. Image Process. 19(7): 1673-1682 (2010) - [c21]Óscar Pérez Concha, Richard Yi Da Xu, Massimo Piccardi:
Robust Dimensionality Reduction for Human Action Recognition. DICTA 2010: 349-356 - [c20]Óscar Pérez Concha, Richard Yi Da Xu, Massimo Piccardi:
Compressive Sensing of Time Series for Human Action Recognition. DICTA 2010: 454-461
2000 – 2009
- 2009
- [c19]Peter F. Summons, D. Newby, Rukshan Athauda, Mira Park, P. Shaw, Ilung Pranata, Jesse S. Jin, Richard Y. D. Xu:
Design Strategy for a Scalable Virtual Pharmacy Patient. ACIS 2009 - [c18]Richard Yi Da Xu, Michael Kemp:
Multiple curvature based approach to human upper body parts detection with connected ellipse model fine-tuning. ICIP 2009: 2577-2580 - [p1]Richard Y. D. Xu, Jesse S. Jin:
Rationale, Design and Implementation of a Computer Vision-Based Interactive E-Learning System. Methods and Applications for Advancing Distance Education Technologies 2009: 268-287 - 2008
- [c17]Richard Yi Da Xu, Junbin Gao, Michael Antolovich:
Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras. ICME 2008: 45-48 - [c16]Richard Yi Da Xu, Joshua M. Brown, Jason M. Traish, Daniel Dezwa:
A computer vision based camera pedestal's vertical motion control. ICPR 2008: 1-4 - [c15]Richard Yi Da Xu:
A Computer Vision based Whiteboard Capture System. WACV 2008: 1-6 - 2007
- [j2]Richard Y. D. Xu, Jesse S. Jin:
Rationale, Design and Implementation of a Computer Vision-Based Interactive E-Learning System. Int. J. Distance Educ. Technol. 5(4): 26-45 (2007) - [j1]Richard Y. D. Xu, Jesse S. Jin:
Camera Control and Multimedia Interaction using Individual Object Recognition. J. Multim. 2(3): 77-85 (2007) - [c14]Junbin Gao, Richard Y. D. Xu:
Mixture of the Robust L1 Distributions and Its Applications. Australian Conference on Artificial Intelligence 2007: 26-35 - 2006
- [c13]Richard Y. D. Xu:
A Portable and Low-Cost E-Learning Video Capture System. ACIVS 2006: 1088-1098 - [c12]Christopher J. Pavlovski, Stella Mitchell, Braam Smith, Richard Xu:
Error Rate in Multimodal Mobility Systems. AMT 2006: 281-284 - [c11]Richard Yi Da Xu, Jesse S. Jin:
Individual Object Interaction for Camera Control and Multimedia Synchronization. ICASSP (5) 2006: 481-484 - 2005
- [c10]Richard Y. D. Xu, Jesse S. Jin:
Latency Insensitive Task Scheduling for Real-Time Video Processing and Streaming. ACIVS 2005: 387-394 - [c9]Richard Y. D. Xu, John G. Allen, Jesse S. Jin:
Framework for Multimedia Lecture System using Real-Time Video Object Event Detection and Scripting. EuroIMSA 2005: 349-352 - [c8]Richard Y. D. Xu, Jesse S. Jin, John G. Allen:
Stream-Based Interactive Video Language Authoring Using Correlated Audiovisual Watermarking. ICITA (2) 2005: 377-380 - [c7]John G. Allen, Richard Y. D. Xu, Jesse S. Jin:
Mean Shift Object Tracking for a SIMD Computer. ICITA (1) 2005: 692-697 - [c6]Richard Y. D. Xu, Jesse S. Jin:
Scheduling Latency Insensitive Computer Vision Tasks. ISPA 2005: 1089-1100 - [c5]Richard Y. D. Xu, Jesse S. Jin, John G. Allen:
Framework for Script Based Virtual Directing and Multimedia Authoring in Live Video Streaming. MMM 2005: 427-432 - [c4]John G. Allen, Richard Y. D. Xu, Jesse S. Jin:
Dependence Testing and Vectorization of Multimedia Agents. VISION 2005: 40-46 - 2003
- [c3]John G. Allen, Richard Y. D. Xu, Jesse S. Jin:
Tracking Using CamShift Algorithm and Multiple Quantized Feature Spaces. VIP 2003: 3-7 - [c2]Richard Y. D. Xu, John G. Allen, Jesse S. Jin:
Robust Real-Time Tracking of Non-Rigid Objects. VIP 2003: 95-98 - 2002
- [c1]Richard Y. D. Xu, Ruiyi Wang, Nandan Parameswaran, Jesse S. Jin:
Media Streaming Synchronisation and Video Interaction: A Survey. VIP 2002: 113-116
Coauthor Index
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