Richard Yi Da Xu

104 papers A* 10A 5B 8C 4Misc 2Journal 65Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	KERMIT: Knowledge graph completion of enhanced relation modeling with inverse transformation. Knowl. Based Syst. Haotian Li, Bin Yu, Yuliang Wei, Kai Wang, Richard Yi Da Xu, Bailing Wang
2025	—	`conf`	Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models. ACL (1) Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Richard Yi Da Xu, Yunya Song, Xian Yang
2025	—	`conf`	ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series. ACL (Findings) Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Richard Yi Da Xu, Guo Li, Xian Yang
2025	A*	`conf`	TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning. IJCAI Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Zhijie Rao, Song Guo
2024	J	`jnl`	Deep Sparse Latent Feature Models for Knowledge Graph Completion. CoRR Haotian Li, Rui Zhang, Lingzhi Wang, Bin Yu, Youwei Wang, Yuliang Wei, Kai Wang, Richard Yi Da Xu, Bailing Wang
2024	J	`jnl`	TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning. CoRR Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Song Guo
2023	J	`jnl`	A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning. CoRR Hong-Bo Xie, Caoyuan Li, Shuliang Wang, Richard Yi Da Xu, Kerrie L. Mengersen
2023	J	`jnl`	Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection. Trans. Mach. Learn. Res. Wei Huang, Chunrui Liu, Yilan Chen, Richard Yi Da Xu, Miao Zhang, Tsui-Wei Weng
2023	J	`jnl`	Calibrated reconstruction based adversarial autoencoder model for novelty detection. Pattern Recognit. Lett. Yi Huang, Ying Li, Guillaume Jourjon, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Darren Webb, Richard Yi Da Xu
2023	J	`jnl`	Capture and control content discrepancies via normalised flow transfer. Pattern Recognit. Lett. Can Zhang, Richard Yi Da Xu, Xu Zhang, Wanming Huang
2023	A*	`conf`	Domain Decorrelation with Potential Energy Ranking. AAAI Sen Pei, Jiaxi Sun, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng
2023	J	`jnl`	KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation. CoRR Haotian Li, Lingzhi Wang, Yuliang Wei, Richard Yi Da Xu, Bailing Wang
2023	A	`conf`	RTANet: Recommendation Target-Aware Network Embedding. ICWSM Qimeng Cao, Qing Yin, Yunya Song, Zhihua Wang, Yujun Chen, Richard Yi Da Xu, Xian Yang
2023	A*	`conf`	Robust Feature Rectification of Pretrained Vision Models for Object Recognition. AAAI Shengchao Zhou, Gaofeng Meng, Zhaoxiang Zhang, Richard Yi Da Xu, Shiming Xiang
2022	J	`jnl`	Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19. PLoS Comput. Biol. Xian Yang, Shuo Wang, Yuting Xing, Ling Li, Richard Yi Da Xu, Karl J. Friston, Yike Guo
2022	J	`jnl`	Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning. CoRR Wei Huang, Chunrui Liu, Yilan Chen, Tianyu Liu, Richard Yi Da Xu
2022	J	`jnl`	From traffic classes to content: A hierarchical approach for encrypted traffic classification. Comput. Networks Ying Li, Yi Huang, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Guillaume Jourjon, Darren Webb, David B. Smith, Richard Yi Da Xu
2022	J	`jnl`	Learning adversarial point-wise domain alignment for stereo matching. Neurocomputing Chenghao Zhang, Gaofeng Meng, Richard Yi Da Xu, Shiming Xiang, Chunhong Pan
2022	J	`jnl`	Magnitude Bounded Matrix Factorisation for Recommender Systems. IEEE Trans. Knowl. Data Eng. Shuai Jiang, Kan Li, Richard Yi Da Xu
2022	J	`jnl`	Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout. Pattern Recognit. Lett. Yi Huang, Ying Li, Timothy Heyes, Guillaume Jourjon, Adriel Cheng, Suranga Seneviratne, Kanchana Thilakarathna, Darren Webb, Richard Yi Da Xu
2022	J	`jnl`	Unsupervised Clothing Change Adaptive Person ReID. IEEE Signal Process. Lett. Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu
2021	J	`jnl`	Alleviating Mode Collapse in GAN via Diversity Penalty Module. CoRR Sen Pei, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng
2021	A*	`conf`	Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning. AAAI Christos Markos, James J. Q. Yu, Richard Yi Da Xu
2021	J	`jnl`	Dual Behavior Regularized Reinforcement Learning. CoRR Chapman Siu, Jason M. Traish, Richard Yi Da Xu
2021	C	`conf`	Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning. ACML Chapman Siu, Jason Traish, Richard Yi Da Xu
2021	J	`jnl`	Gaussian process latent variable model factorization for context-aware recommender systems. Pattern Recognit. Lett. Wei Huang, Richard Yi Da Xu
2021	J	`jnl`	Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning. CoRR Chapman Siu, Jason M. Traish, Richard Yi Da Xu
2021	J	`jnl`	Kernelized Sparse Bayesian Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Kerrie L. Mengersen
2021	A*	`conf`	On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. IJCAI Wei Huang, Weitao Du, Richard Yi Da Xu
2021	J	`jnl`	RGB-IR cross-modality person ReID based on teacher-student GAN model. Pattern Recognit. Lett. Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Yang Li, Richard Yi Da Xu
2021	J	`jnl`	Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures. CoRR Chapman Siu, Jason Traish, Richard Yi Da Xu
2021	B	`conf`	Resolution-Invariant Person Reid Based On Feature Transformation And Self-Weighted Attention. ICIP Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu
2021	J	`jnl`	Resolution-invariant Person ReID Based on Feature Transformation and Self-weighted Attention. CoRR Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu
2021	J	`jnl`	Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss. CoRR Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen
2020	J	`jnl`	Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures. IEEE Trans. Signal Process. Caoyuan Li, Hong-Bo Xie, Kerrie L. Mengersen, Xuhui Fan, Richard Yi Da Xu, Scott A. Sisson, Sabine Van Huffel
2020	—	`conf`	End-to-end Dynamic Matching Network for Multi-view Multi-person 3D Pose Estimation. ECCV (28) Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason M. Traish, Chen Deng, Sam Ferguson, Richard Yi Da Xu
2020	J	`jnl`	Exploring temporal consistency for human pose estimation in videos. Pattern Recognit. Yang Li, Kan Li, Xinxin Wang, Richard Yi Da Xu
2020	A*	`conf`	Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation. AAAI Yang Li, Kan Li, Shuai Jiang, Ziyue Zhang, Congzhentao Huang, Richard Yi Da Xu
2020	B	`conf`	Illumination Adaptive Person Reid Based on Teacher-Student Model and Adversarial Training. ICIP Ziyue Zhang, Richard Yi Da Xu, Shuai Jiang, Yang Li, Congzhentao Huang, Chen Deng
2020	J	`jnl`	Implicit bias of deep linear networks in the large learning rate phase. CoRR Wei Huang, Weitao Du, Richard Yi Da Xu, Chunrui Liu
2020	A	`conf`	Mean Field Theory for Deep Dropout Networks: Digging up Gradient Backpropagation Deeply. ECAI Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao
2020	B	`conf`	Nonparametric Bayesian Nonnegative Matrix Factorization. MDAI Hong-Bo Xie, Caoyuan Li, Kerrie L. Mengersen, Shuliang Wang, Richard Yi Da Xu
2020	J	`jnl`	On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. CoRR Wei Huang, Weitao Du, Richard Yi Da Xu
2020	J	`jnl`	RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model. CoRR Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Yang Li, Richard Yi Da Xu
2019	—	`conf`	Deep Learning Networks for Human Activity Recognition with CSI Correlation Feature Extraction. ICC Zhenguo Shi, J. Andrew Zhang, Richard Yi Da Xu, Qingqing Cheng
2019	C	`conf`	Efficient Diversified Mini-Batch Selection using Variable High-layer Features. ACML Wanming Huang, Richard Yi Da Xu, Ian J. Oppermann
2019	J	`jnl`	Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems. CoRR Wei Huang, Richard Yi Da Xu
2019	J	`jnl`	Guest Editorial Special Issue on Intelligent Control Through Neural Learning and Optimization for Human-Machine Hybrid Systems. IEEE Trans. Neural Networks Learn. Syst. Wei He, Changyin Sun, Donald C. Wunsch, Richard Yi Da Xu
2019	J	`jnl`	Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator. IEEE Trans. Image Process. Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Scott A. Sisson, Kerrie L. Mengersen
2019	J	`jnl`	Mean field theory for deep dropout networks: digging up gradient backpropagation deeply. CoRR Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao
2019	C	`conf`	Realistic Image Generation using Region-phrase Attention. ACML Wanming Huang, Richard Yi Da Xu, Ian J. Oppermann
2019	J	`jnl`	Relative Pairwise Relationship Constrained Non-Negative Matrix Factorisation. IEEE Trans. Knowl. Data Eng. Shuai Jiang, Kan Li, Richard Yi Da Xu
2019	—	`conf`	Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation. LOD Hong-Bo Xie, Caoyuan Li, Richard Yi Da Xu, Kerrie L. Mengersen
2018	J	`jnl`	A Nuclear Norm Based Matrix Regression Based Projections Method for Feature Extraction. IEEE Access Wankou Yang, Jun Li, Hao Zheng, Richard Yi Da Xu
2018	J	`jnl`	A new mesh visual quality metric using saliency weighting-based pooling strategy. Graph. Model. Xiang Feng, Wanggen Wan, Richard Yi Da Xu, Stuart W. Perry, Song Zhu, Zexin Liu
2018	J	`jnl`	A novel spatial pooling method for 3D mesh quality assessment based on percentile weighting strategy. Comput. Graph. Xiang Feng, Wanggen Wan, Richard Yi Da Xu, Stuart W. Perry, Pengfei Li, Song Zhu
2018	J	`jnl`	A perceptual quality metric for 3D triangle meshes based on spatial pooling. Frontiers Comput. Sci. Xiang Feng, Wanggen Wan, Richard Yi Da Xu, Haoyu Chen, Pengfei Li, J. Alfredo Sánchez
2018	J	`jnl`	AdOn HDP-HMM: An Adaptive Online Model for Segmentation and Classification of Sequential Data. IEEE Trans. Neural Networks Learn. Syst. Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
2018	B	`conf`	Deep Content: Unveiling Video Streaming Content from Encrypted WiFi Traffic. NCA Ying Li, Yi Huang, Richard Yi Da Xu, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Darren Webb, Guillaume Jourjon
2018	J	`jnl`	Diverse Online Feature Selection. CoRR Chapman Siu, Richard Yi Da Xu
2018	J	`jnl`	Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes. IEEE Trans. Neural Networks Learn. Syst. Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2018	—	`conf`	Human Activity Recognition Using Deep Learning Networks with Enhanced Channel State Information. GLOBECOM Workshops Zhenguo Shi, J. Andrew Zhang, Richard Yi Da Xu, Gengfa Fang
2018	J	`jnl`	Magnitude Bounded Matrix Factorisation for Recommender Systems. CoRR Shuai Jiang, Kan Li, Richard Yi Da Xu
2017	J	`jnl`	A Bayesian nonparametric model for multi-label learning. Mach. Learn. Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2017	J	`jnl`	Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes. IEEE Trans. Knowl. Data Eng. Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2017	J	`jnl`	Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization. CoRR Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu
2017	J	`jnl`	Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network. IEEE Trans. Cybern. Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song
2017	J	`jnl`	Region scalable active contour model with global constraint. Knowl. Based Syst. Yufei Chen, Xiaodong Yue, Richard Yi Da Xu, Hamido Fujita
2017	J	`jnl`	Robust Object Tracking With Discrete Graph-Based Multiple Experts. IEEE Trans. Image Process. Jiatong Li, Chenwei Deng, Richard Yi Da Xu, Dacheng Tao, Baojun Zhao
2017	J	`jnl`	Semantic summary automatic generation in news event. Concurr. Comput. Pract. Exp. Weidong Liu, Xiangfeng Luo, Jun Zhang, Ruirong Xue, Richard Yi Da Xu
2016	A*	`conf`	Copula Mixed-Membership Stochastic Blockmodel. IJCAI Xuhui Fan, Richard Yi Da Xu, Longbing Cao
2016	A*	`conf`	Diversified hidden Markov models for sequential labeling. ICDE Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao
2016	J	`jnl`	Fast Sampling for Time-Varying Determinantal Point Processes. ACM Trans. Knowl. Discov. Data Maoying Qiao, Richard Yi Da Xu, Wei Bian, Dacheng Tao
2016	C	`conf`	MetricRec: Metric Learning for Cold-Start Recommendations. ADMA Furong Peng, Xuan Lu, Jianfeng Lu, Richard Yi Da Xu, Cheng Luo, Chao Ma, Jingyu Yang
2016	J	`jnl`	N-dimensional Markov random field prior for cold-start recommendation. Neurocomputing Furong Peng, Jianfeng Lu, Yongli Wang, Richard Yi Da Xu, Chao Ma, Jingyu Yang
2016	A*	`conf`	Random Mixed Field Model for Mixed-Attribute Data Restoration. AAAI Qiang Li, Wei Bian, Richard Yi Da Xu, Jane You, Dacheng Tao
2016	J	`jnl`	Time Varying Metric Learning for visual tracking. Pattern Recognit. Lett. Jiatong Li, Baojun Zhao, Chenwei Deng, Richard Yi Da Xu
2015	J	`jnl`	An Adaptive Online HDP-HMM for Segmentation and Classification of Sequential Data. CoRR Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
2015	J	`jnl`	Diversified Hidden Markov Models for Sequential Labeling. IEEE Trans. Knowl. Data Eng. Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao
2015	J	`jnl`	Dynamic Infinite Mixed-Membership Stochastic Blockmodel. IEEE Trans. Neural Networks Learn. Syst. Xuhui Fan, Longbing Cao, Richard Yi Da Xu
2015	B	`conf`	Face hallucination based on nonparametric Bayesian learning. ICIP Minqi Li, Richard Yi Da Xu, Xiangjian He
2015	J	`jnl`	Geometrically-constrained balloon fitting for multiple connected ellipses. Pattern Recognit. Michael Kemp, Richard Yi Da Xu
2015	A*	`conf`	Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. ICDM Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2015	J	`jnl`	Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process. CoRR Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2015	J	`jnl`	Nonparametric Relational Topic Models through Dependent Gamma Processes. CoRR Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2014	A	`conf`	A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response. AISTATS Ava Bargi, Richard Yi Da Xu, Zoubin Ghahramani, Massimo Piccardi
2014	B	`conf`	An Infinite Adaptive Online Learning Model for Segmentation and Classification of Streaming Data. ICPR Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
2013	J	`jnl`	A non-parametric conditional factor regression model for high-dimensional input and response. CoRR Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
2013	J	`jnl`	Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations. CoRR Xuhui Fan, Longbing Cao, Richard Yi Da Xu
2013	J	`jnl`	Dynamic Infinite Mixed-Membership Stochastic Blockmodel. CoRR Xuhui Fan, Longbing Cao, Richard Yi Da Xu
2013	J	`jnl`	Joint Action Segmentation and Classification by an Extended Hidden Markov Model. IEEE Signal Process. Lett. Ehsan Zare Borzeshi, Óscar Pérez Concha, Richard Yi Da Xu, Massimo Piccardi
2013	J	`jnl`	Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network. CoRR Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song
2012	—	`conf`	An online HDP-HMM for joint action segmentation and classification in motion capture data. CVPR Workshops Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
2011	—	`conf`	A discriminative prototype selection approach for graph embedding in human action recognition. ICCV Workshops Ehsan Zare Borzeshi, Massimo Piccardi, Richard Yi Da Xu
2011	—	`conf`	Automatic Human Action Recognition in Videos by Graph Embedding. ICIAP (2) Ehsan Zare Borzeshi, Richard Yi Da Xu, Massimo Piccardi
2010	J	`jnl`	An iterative approach for fitting multiple connected ellipse structure to silhouette. Pattern Recognit. Lett. Richard Yi Da Xu, Michael Kemp
2010	Misc	`conf`	Compressive Sensing of Time Series for Human Action Recognition. DICTA Óscar Pérez Concha, Richard Yi Da Xu, Massimo Piccardi
2010	J	`jnl`	Fitting Multiple Connected Ellipses to an Image Silhouette Hierarchically. IEEE Trans. Image Process. Richard Yi Da Xu, Michael Kemp
2010	Misc	`conf`	Robust Dimensionality Reduction for Human Action Recognition. DICTA Óscar Pérez Concha, Richard Yi Da Xu, Massimo Piccardi
2009	B	`conf`	Multiple curvature based approach to human upper body parts detection with connected ellipse model fine-tuning. ICIP Richard Yi Da Xu, Michael Kemp
2008	A	`conf`	A Computer Vision based Whiteboard Capture System. WACV Richard Yi Da Xu
2008	B	`conf`	A computer vision based camera pedestal's vertical motion control. ICPR Richard Yi Da Xu, Joshua M. Brown, Jason M. Traish, Daniel Dezwa
2008	A	`conf`	Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras. ICME Richard Yi Da Xu, Junbin Gao, Michael Antolovich
2006	—	`conf`	Individual Object Interaction for Camera Control and Multimedia Synchronization. ICASSP (5) Richard Yi Da Xu, Jesse S. Jin