Recurrent Temporal Sparse Autoencoder for attention-based action recognition. - Miao Xin; Hong Zhang 018; Mingui Sun; Ding Yuan 001 (IJCNN, 2016)

ARCH: Adaptive recurrent-convolutional hybrid networks for long-term action recognition. - Miao Xin; Hong Zhang 018; Helong Wang; Mingui Sun; Ding Yuan 001 (Neurocomputing, 2016)

Learning discriminative action and context representations for action recognition in still images. - Miao Xin; Hong Zhang 018; Ding Yuan 001; Mingui Sun (ICME, 2017)

Asynchronous Doubly Stochastic Sparse Kernel Learning. - Bin Gu 001; Miao Xin; Zhouyuan Huo; Heng Huang (AAAI, 2018)

End-to-end temporal attention extraction and human action recognition. - Hong Zhang 018; Miao Xin; Shuhang Wang; Yifan Yang 003; Lei Zhang 098; Helong Wang (Mach. Vis. Appl., 2018)

Entanglement Loss for Context-Based Still Image Action Recognition. - Miao Xin; Shuhang Wang; Jian Cheng (ICME, 2019)

A high-performance maintenance strategy for stochastic selective maintenance. - Jing Zhao; Jianqi Liu; Zhenting Zhao; Miao Xin; Yu Chen (Concurr. Comput. Pract. Exp., 2019)

Long-Term Head Pose Forecasting Conditioned on the Gaze-Guiding Prior. - Shentong Mo; Miao Xin (CVPR Workshops, 2021)

EVA-GCN: Head Pose Estimation Based on Graph Convolutional Networks. - Miao Xin; Shentong Mo; Yuanze Lin (CVPR Workshops, 2021)

BFRFormer: Transformer-Based Generator for Real-World Blind Face Restoration. - Guojing Ge; Qi Song 003; Guibo Zhu; Yuting Zhang; Jinglu Chen; Miao Xin; Ming Tang 001; Jinqiao Wang (ICASSP, 2024)

Tree of Uncertain Thoughts Reasoning for Large Language Models. - Shentong Mo; Miao Xin (ICASSP, 2024)

We Choose to Go to Space: Agent-driven Human and Multi-Robot Collaboration in Microgravity. - Miao Xin; Zhongrui You; Zihan Zhang; Taoran Jiang; Tingjia Xu; Haotian Liang; Guojing Ge; Yuchen Ji; Shentong Mo; Jian Cheng (CoRR, 2024)

BSTG-Trans: A Bayesian Spatial-Temporal Graph Transformer for Long-Term Pose Forecasting. - Shentong Mo; Miao Xin (IEEE Trans. Multim., 2024)

Causal Discovery for Rolling Bearing Fault Under Missing Data: From the Perspective of Causal Effect and Information Flow. - Xu Ding 001; Hao Wu; Junlong Wang; Juan Xu 002; Miao Xin (IEEE Trans. Instrum. Meas., 2025)

Uncertainty-aware Reward Design Process. - Yang Yang; Xiaolu Zhou; Bosong Ding; Miao Xin (CoRR, 2025)

ASCoT: An Adaptive Self-Correction Chain-of-Thought Method for Late-Stage Fragility in LLMs. - Dongxu Zhang; Ning Yang; Jihua Zhu; Jinnan Yang; Miao Xin; Baoliang Tian (CoRR, 2025)