Richard Yida Xu

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 13

Top Topics

Human Activity Recognition

Top Venues

IEEE Trans. Mob. Comput.

IEEE Internet Things J.

Publications

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 (2022)
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 (2022)
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)
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) (2022)
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) (2022)
Sen Pei, Xin Zhang, Richard Yida Xu, Gaofeng Meng
GAN Based Boundary Aware Classifier for Detecting Out-of-distribution Samples. CoRR (2021)
Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yida Xu
Unsupervised clothing change adaptive person ReID. CoRR (2021)
Wanming Huang, Richard Yida Xu, Shuai Jiang, Xuan Liang, Ian Oppermann
GAN-based Gaussian Mixture Model Responsibility Learning. ICPR (2020)
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)
Minqi Li, Richard Yida Xu, Jing Xin, Kaibing Zhang, Junfeng Jing
Fast non-rigid points registration with cluster correspondences projection. Signal Process. 170 (2020)
Maoying Qiao, Wei Bian, Richard Yida Xu, Dacheng Tao
Diversified Hidden Markov Models for Sequential Labeling. CoRR (2019)
Shuai Jiang, Kan Li, Richard Yida Xu
Relative Pairwise Relationship Constrained Non-negative Matrix Factorisation. CoRR (2018)
Zheng Xu, Junchi Yan, Richard Yida Xu, Lin Mei
Guest Editorial: Visual Multimedia Learning from Big Surveillance Data. Multim. Tools Appl. 76 (13) (2017)