Robustness and Approximation for the Linear Contract Design. - Guichen Gao; Xinxin Han; Li Ning 001; Hing-Fung Ting; Yong Zhang 001 (AAIM, 2020)

Data Caching Based Transfer Optimization in Large Scale Networks. - Xinxin Han; Guichen Gao; Yang Wang 006; Hing-Fung Ting; Yong Zhang 001 (PDCAT, 2020)

Approximation Algorithm for the Offloading Problem in Edge Computing. - Xinxin Han; Guichen Gao; Li Ning 001; Yang Wang 006; Yong Zhang 001 (WASA (1), 2020)

The Effect of Axis-Wise Triaxial Acceleration Data Fusion in CNN-Based Human Activity Recognition. - Xinxin Han; Jian Ye; Jia Luo 001; Haiying Zhou (IEICE Trans. Inf. Syst., 2020)

An Online Algorithm for Data Caching Problem in Edge Computing. - Xinxin Han; Guichen Gao; Yang Wang 006; Yong Zhang 001 (AAIM, 2021)

Cost-Driven Data Caching in the Cloud: An Algorithmic Approach. - Yang Wang 006; Yong Zhang 001; Xinxin Han; Pengfei Wang; Chengzhong Xu 001; Joseph Horton; Joseph C. Culberson (INFOCOM, 2021)

A semidefinite relaxation approach for the offloading problem in edge computing. - Xinxin Han; Guichen Gao; Li Ning 001; Yang Wang 006; Yong Zhang 001 (Comput. Electr. Eng., 2022)

Two-agent scheduling on a bounded series-batch machine to minimize makespan and maximum cost. - Cheng He; Hao Lin; Xinxin Han (Discret. Appl. Math., 2022)

Principal-agent problem under the linear contract. - Guichen Gao; Xinxin Han; Li Ning 001; Hing-Fung Ting; Yong Zhang 001 (J. Comb. Optim., 2022)

Online data caching in edge-cloud collaborative system with the data center. - Xinxin Han; Sijia Dai; Guichen Gao; Yang Wang 006; Yong Zhang 001 (J. Comb. Optim., 2022)

Online data caching in edge computing. - Xinxin Han; Guichen Gao; Yang Wang 006; Hing-Fung Ting; Ilsun You; Yong Zhang 001 (Concurr. Comput. Pract. Exp., 2023)

PointJEM: Self-supervised Point Cloud Understanding for Reducing Feature Redundancy via Joint Entropy Maximization. - Xin Cao 004; Huan Xia; Xinxin Han; Yifan Wang; Kang Li 005; Linzhi Su (CoRR, 2023)

PointMoment: Mixed-Moment-based Self-Supervised Representation Learning for 3D Point Clouds. - Xin Cao; Xinxin Han; Yifan Wang; Mengna Yang; Kang Li (CoRR, 2023)

Cost-Driven Data Caching in Edge-Based Content Delivery Networks. - Yang Wang 006; Hao Dai; Xinxin Han; Pengfei Wang; Yong Zhang 001; Chengzhong Xu 001 (IEEE Trans. Mob. Comput., 2023)

Maximizing One-Way Trading Revenue in Photovoltaic Energy Generation. - Xinru Guo; Yu Huang; Xinxin Han; Yicheng Xu; Keliang Duan; Qiancheng Xu (COCOA (2), 2024)

Trade-Off Between Maximum Flow Time and Energy Intake in EV Charging. - Xinru Guo; Sijia Dai; Xinxin Han; Miao Shang; Yicheng Xu; Yong Zhang 001 (COCOON (1), 2024)

PointCluster: Deep Clustering of 3-D Point Clouds With Semantic Pseudo-Labeling. - Xiu Liu; Xinxin Han; Huan Xia; Kang Li 005; Haochen Zhao; Jia Jia; Gang Zhen; Linzhi Su; Fengjun Zhao; Xin Cao 004 (IEEE Trans. Geosci. Remote. Sens., 2024)

Time and energy driven online scheduling problem in EV charging. - Xinru Guo; Sijia Dai; Xinxin Han; Yicheng Xu; Yong Zhang 001 (Theor. Comput. Sci., 2025)