Image Clustering via Sparse Representation. - Jun Jiao; Xuan Mo; Chen Shen (MMM, 2010)

A Multiple Instance Approach for Keyword-Based Retrieval in Un-annotated Image Database. - Jun Jiao; Chen Shen; Bo Dai 001; Xuan Mo (MMM, 2010)

PSF-Constraints Based Iterative Blind Deconvolution Method for Image Deblurring. - Xuan Mo; Jun Jiao; Chen Shen (MMM, 2010)

Image-adaptive Color Super-resolution. - Umamahesh Srinivas; Xuan Mo; Manu Parmar; Vishal Monga (CIC, 2011)

A joint sparsity model for video anomaly detection. - Xuan Mo; Vishal Monga; Raja Bala; Zhigang Fan 001 (ACSCC, 2012)

Design and Optimization of Color Lookup Tables on a Simplex Topology. - Vishal Monga; Raja Bala; Xuan Mo (IEEE Trans. Image Process., 2012)

Practical methods for sparsity based video anomaly detection. - Xuan Mo; Vishal Monga; Raja Bala; José A. Rodríguez-Serrano; Zhigang Fan 001; Aaron M. Burry (ITSC, 2013)

Low rank sparsity prior for robust video anomaly detection. - Xuan Mo; Vishal Monga; Raja Bala; Zhigang Fan 001; Aaron Burry (ICASSP, 2014)

Simultaneous sparsity model for multi-perspective video anomaly detection. - Xuan Mo; Vishal Monga; Raja Bala (ICIP, 2014)

A Comprehensive Trust Model Based on Reputation and Fuzzy Theory. - Xianghe Wei; Hong Zhang 021; Xuan Mo; Yong Qi; Zhen Liu; Qianmu Li (J. Comput., 2014)

Adaptive Sparse Representations for Video Anomaly Detection. - Xuan Mo; Vishal Monga; Raja Bala; Zhigang Fan 001 (IEEE Trans. Circuits Syst. Video Technol., 2014)

一种基于攻防图的网络安全防御策略生成方法 (Improved Network Security Defense Strategy Generation Method Based on Attack-Defense Graph). - Yong Qi; Xuan Mo; Qianmu Li (计算机科学, 2016)

一种面向融合泛在网的协同防护体系设计 (Collaborative Protection Architecture Design Orient to Fusion Ubiquitous Network). - Yong Qi; Xuan Mo; Qianmu Li (计算机科学, 2017)

EBSR: Feature Enhanced Burst Super-Resolution With Deformable Alignment. - Ziwei Luo; Lei Yu; Xuan Mo; Youwei Li; Lanpeng Jia; Haoqiang Fan; Jian Sun 001; Shuaicheng Liu (CVPR Workshops, 2021)

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. - Goutam Bhat; Martin Danelljan; Radu Timofte; Kazutoshi Akita; Wooyeong Cho; Haoqiang Fan; Lanpeng Jia; Daeshik Kim; Bruno Lecouat; Youwei Li; Shuaicheng Liu; Ziluan Liu; et al. (CoRR, 2021)

DFECTS: A Deep Fuzzy Ensemble Clusterer for Time Series. - Dechong Wu; Jialun Li; Xuan Mo; Weigang Wu (ICA3PP (1), 2023)

Forecasting resource usage pattern changes in clouds via contrast graph-evolution learning. - Jialun Li; Diying Yang; Hairui Guo; Xuan Mo; Weigang Wu (Future Gener. Comput. Syst., 2024)

A Flexible Model for Predicting Workloads of Massive Microservices. - Shunjue Chen; Xuan Mo; Weigang Wu (CACML, 2025)

AdaptServe: Auto-Scalable DL Serving with Dynamic Model Parallelism. - Yue Zhang; Xuan Mo; Weigang Wu (HPSC, 2025)

Integrated and Fungible Scheduling of Deep Learning Workloads Using Multi-Agent Reinforcement Learning. - Jialun Li; Danyang Xiao; Diying Yang; Xuan Mo; Weigang Wu (IEEE Trans. Parallel Distributed Syst., 2025)