| 2025 | ACL | ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series. | Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Richard Yi Da Xu, Guo Li, Xian Yang |
| 2025 | ACL | Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models. | Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Richard Yi Da Xu, Yunya Song, Xian Yang |
| 2025 | IJCAI | TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning. | Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Zhijie Rao, Song Guo |
| 2023 | AAAI | Domain Decorrelation with Potential Energy Ranking. | Sen Pei, Jiaxi Sun, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng |
| 2023 | AAAI | Robust Feature Rectification of Pretrained Vision Models for Object Recognition. | Shengchao Zhou, Gaofeng Meng, Zhaoxiang Zhang, Richard Yi Da Xu, Shiming Xiang |
| 2023 | ICWSM | RTANet: Recommendation Target-Aware Network Embedding. | Qimeng Cao, Qing Yin, Yunya Song, Zhihua Wang, Yujun Chen, Richard Yi Da Xu, Xian Yang |
| 2021 | AAAI | Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning. | Christos Markos, James J. Q. Yu, Richard Yi Da Xu |
| 2021 | ACML | Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning. | Chapman Siu, Jason Traish, Richard Yi Da Xu |
| 2021 | ICIP | Resolution-Invariant Person Reid Based On Feature Transformation And Self-Weighted Attention. | Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu |
| 2021 | IJCAI | On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. | Wei Huang, Weitao Du, Richard Yi Da Xu |
| 2020 | AAAI | Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation. | Yang Li, Kan Li, Shuai Jiang, Ziyue Zhang, Congzhentao Huang, Richard Yi Da Xu |
| 2020 | ECAI | Mean Field Theory for Deep Dropout Networks: Digging up Gradient Backpropagation Deeply. | Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao |
| 2020 | ECCV | End-to-end Dynamic Matching Network for Multi-view Multi-person 3D Pose Estimation. | Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason M. Traish, Chen Deng, Sam Ferguson, Richard Yi Da Xu |
| 2020 | ICIP | Illumination Adaptive Person Reid Based on Teacher-Student Model and Adversarial Training. | Ziyue Zhang, Richard Yi Da Xu, Shuai Jiang, Yang Li, Congzhentao Huang, Chen Deng |
| 2020 | MDAI | Nonparametric Bayesian Nonnegative Matrix Factorization. | Hong-Bo Xie, Caoyuan Li, Kerrie L. Mengersen, Shuliang Wang, Richard Yi Da Xu |
| 2019 | ACML | Realistic Image Generation using Region-phrase Attention. | Wanming Huang, Richard Yi Da Xu, Ian J. Oppermann |
| 2019 | ACML | Efficient Diversified Mini-Batch Selection using Variable High-layer Features. | Wanming Huang, Richard Yi Da Xu, Ian J. Oppermann |
| 2018 | GLOBECOM | Human Activity Recognition Using Deep Learning Networks with Enhanced Channel State Information. | Zhenguo Shi, J. Andrew Zhang, Richard Yi Da Xu, Gengfa Fang |
| 2018 | NCA | Deep Content: Unveiling Video Streaming Content from Encrypted WiFi Traffic. | Ying Li, Yi Huang, Richard Yi Da Xu, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Darren Webb, Guillaume Jourjon |
| 2016 | AAAI | Random Mixed Field Model for Mixed-Attribute Data Restoration. | Qiang Li, Wei Bian, Richard Yi Da Xu, Jane You, Dacheng Tao |
| 2016 | ADMA | MetricRec: Metric Learning for Cold-Start Recommendations. | Furong Peng, Xuan Lu, Jianfeng Lu, Richard Yi Da Xu, Cheng Luo, Chao Ma, Jingyu Yang |
| 2016 | ICDE | Diversified hidden Markov models for sequential labeling. | Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao |
| 2016 | IJCAI | Copula Mixed-Membership Stochastic Blockmodel. | Xuhui Fan, Richard Yi Da Xu, Longbing Cao |
| 2015 | ICDM | Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. | Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo |
| 2015 | ICIP | Face hallucination based on nonparametric Bayesian learning. | Minqi Li, Richard Yi Da Xu, Xiangjian He |
| 2014 | AISTATS | A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response. | Ava Bargi, Richard Yi Da Xu, Zoubin Ghahramani, Massimo Piccardi |
| 2014 | ICPR | An Infinite Adaptive Online Learning Model for Segmentation and Classification of Streaming Data. | Ava Bargi, Richard Yi Da Xu, Massimo Piccardi |
| 2012 | CVPR | An online HDP-HMM for joint action segmentation and classification in motion capture data. | Ava Bargi, Richard Yi Da Xu, Massimo Piccardi |
| 2011 | ICIAP | Automatic Human Action Recognition in Videos by Graph Embedding. | Ehsan Zare Borzeshi, Richard Yi Da Xu, Massimo Piccardi |
| 2010 | DICTA | Robust Dimensionality Reduction for Human Action Recognition. | scar Prez Concha, Richard Yi Da Xu, Massimo Piccardi |
| 2010 | DICTA | Compressive Sensing of Time Series for Human Action Recognition. | scar Prez Concha, Richard Yi Da Xu, Massimo Piccardi |
| 2009 | ICIP | Multiple curvature based approach to human upper body parts detection with connected ellipse model fine-tuning. | Richard Yi Da Xu, Michael Kemp |
| 2008 | ICPR | A computer vision based camera pedestal's vertical motion control. | Richard Yi Da Xu, Joshua M. Brown, Jason M. Traish, Daniel Dezwa |
| 2008 | WACV | A Computer Vision based Whiteboard Capture System. | Richard Yi Da Xu |
| 2006 | ICASSP | Individual Object Interaction for Camera Control and Multimedia Synchronization. | Richard Yi Da Xu, Jesse S. Jin |