O-MAP: A per-component online anomaly predicting method for Cloud infrastructure. - Bin Hong; Fuyang Peng; Bo Deng; Yuchao Zhang (ICIA, 2015)

Event Recovery by Faster Truncated Nuclear Norm Minimization. - Debing Zhang; Long Wei; Bin Hong; Yao Hu; Deng Cai 001; Xiaofei He 001 (IScIDE (2), 2015)

Distributed State Monitoring for IaaS Cloud with Continuous Observation Sequence. - Bin Hong; Yazhou Hu; Fuyang Peng; Bo Deng (UIC/ATC/ScalCom, 2015)

DAC-Hmm: detecting anomaly in cloud systems with hidden Markov models. - Bin Hong; Fuyang Peng; Bo Deng; Yazhou Hu; Dongxia Wang 001 (Concurr. Comput. Pract. Exp., 2015)

Non-Negative Matrix Factorization with Sinkhorn Distance. - Wei Qian 003; Bin Hong; Deng Cai 001; Xiaofei He 001; Xuelong Li 001 (IJCAI, 2016)

Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction. - Weizhong Zhang; Bin Hong; Jieping Ye; Deng Cai 001; Xiaofei He 001; Jie Wang 005 (CoRR, 2016)

Online robust principal component analysis via truncated nuclear norm regularization. - Bin Hong; Long Wei; Yao Hu; Deng Cai 001; Xiaofei He 001 (Neurocomputing, 2016)

基于PCA降维的云资源状态监控数据压缩技术 (Data Dimension Reduction Method Based on PCA for Monitoring Data of Virtual Resources in Cloud Computing). - Bin Hong; Bo Deng; Fuyang Peng; Yang Bao 003; Xuewei Feng (计算机科学, 2016)

Safe Element Screening for Submodular Function Minimization. - Weizhong Zhang; Bin Hong; Lin Ma 002; Wei Liu 005; Tong Zhang 001 (ICML, 2018)

Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding. - Xiang Li 059; Ying Wei 007; Yunlong Zhou; Bin Hong (IEEE Access, 2019)

A Dehazing Algorithm Based on Local Adaptive Template for Transmission Estimation and Refinement. - Lu Xu; Ying Wei 007; Bin Hong; Wei Yin (IEEE Access, 2019)

Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction. - Bin Hong; Weizhong Zhang; Wei Liu 005; Jieping Ye; Deng Cai 001; Xiaofei He 001; Jie Wang 005 (J. Mach. Learn. Res., 2019)

Pathogen Prevalence, Collectivism and Online Sadness Expression in China *: for Special Track "Covid-19 and Computational Social Psychology". - Hao Chen 105; Bin Hong; Hui-Lin Zang (BESC, 2020)

Apparel-invariant Feature Learning for Apparel-changed Person Re-identification. - Zhengxu Yu; Yilun Zhao 001; Bin Hong; Zhongming Jin 001; Jianqiang Huang; Deng Cai 001; Xiaofei He 001; Xian-Sheng Hua 001 (CoRR, 2020)

Snipe: highly sensitive pathogen detection from metagenomic sequencing data. - Lihong Huang; Bin Hong; Wenxian Yang; Liansheng Wang; Rongshan Yu (Briefings Bioinform., 2021)

Development and application of key technologies for Guide Dog Robot: A systematic literature review. - Bin Hong; Zhangxi Lin; Xin Chen; Jing Hou; Shunya Lv; Zhendong Gao (Robotics Auton. Syst., 2022)

Apparel-Invariant Feature Learning for Person Re-Identification. - Zhengxu Yu; Yilun Zhao 001; Bin Hong; Zhongming Jin 001; Jianqiang Huang; Deng Cai 001; Xian-Sheng Hua 001 (IEEE Trans. Multim., 2022)

End-to-End Graph Flattening Method for Large Language Models. - Bin Hong; Jinze Wu; Jiayu Liu 001; Liang Ding; Jing Sha; Kai Zhang 038; Shijin Wang 001; Zhenya Huang (CoRR, 2024)

Research on GDR Obstacle Detection Method Based on Stereo Vision. - Jing Hou; Meimei Chen; Yihang Guo; Zhangxi Lin; Bin Hong (Autom. Control. Comput. Sci., 2024)

Research on optimization A* algorithm based on energy consumption of mobile navigation robot. - Bin Hong; Zhan Cao; Fugeng Li; Yahui Nie; Jing Hou; Changyuan Feng; Zhihao Ma (Int. J. Model. Simul. Sci. Comput., 2025)

When will the blind be able to take their first steps with GDR guidance under artificial intelligence? - Meimei Chen; Bin Hong (AI Soc., 2025)

Collaborative route map and navigation of the guide dog robot based on optimum energy consumption. - Bin Hong; Yihang Guo; Meimei Chen; Yahui Nie; Changyuan Feng; Fugeng Li (AI Soc., 2025)

Daily Wildfire Risk Prediction by Mining Global and local spatio-temporal dependency. - Jiehang Deng; Bin Hong; Weiming Wang 002; Guosheng Gu (Earth Sci. Informatics, 2025)

Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization. - Bin Hong; Jiayu Liu; Zhenya Huang; Kai Zhang 038; Mengdi Zhang (CoRR, 2025)