Extracting meaningful patterns for time series classification. - Xiaohang Zhang; Jun Wu; Xuecheng Yang; Tingjie Lu (IEEE Congress on Evolutionary Computation, 2008)

Estimation of Market Share by Using Discretization Technology: An Application in China Mobile. - Xiaohang Zhang; Jun Wu; Xuecheng Yang; Tingjie Lu (ICCS (2), 2008)

Switching Costs between Customer Satisfaction and Loyalty. - Xuecheng Yang; Jun Wu; Xiaohang Zhang; Feng Zuo; Quan Yu (CSO (1), 2009)

Word of Mouth: The Effects of Marketing Efforts and Customer Satisfaction. - Xuecheng Yang; Xiaohang Zhang; Feng Zuo (JCAI, 2009)

Predicting customer churn by integrating the effect of the customer contact network. - Xiaohang Zhang; Zhiyu Liu; Xuecheng Yang; Wenhua Shi; Qi Wang (SOLI, 2010)

Automatic classification of uncertain data by soft classifier. - Le Li 002; Zhiwen Yu 002; Zijian Feng; Xiaohang Zhang (ICMLC, 2011)

USOM: Mining and visualizing uncertain data based on self-organizing maps. - Le Li 002; Xiaohang Zhang; Zhiwen Yu 002; Zijian Feng; Ruiping Wei (ICMLC, 2011)

A novel clustering method on time series data. - Xiaohang Zhang; Jiaqi Liu; Yu Du; Tingjie Lu (Expert Syst. Appl., 2011)

Research on Evolution of Chinese Telecom Industry System Based on Dissipative Structure Theory. - Fei Chen; Xiaohang Zhang (J. Comput., 2011)

Predicting customer churn through interpersonal influence. - Xiaohang Zhang; Ji Zhu; Shuhua Xu; Yan Wan (Knowl. Based Syst., 2012)

Structure learning for belief rule base expert system: A comparative study. - Leilei Chang 001; Yu Zhou; Jiang Jiang 001; Mengjun Li; Xiaohang Zhang (Knowl. Based Syst., 2013)

Identifying influential nodes in complex networks with community structure. - Xiaohang Zhang; Ji Zhu; Qi Wang; Han Zhao (Knowl. Based Syst., 2013)

Connecting Aged Parents with Their Adult Children Over Long Distances: Challenges and a Solution. - Chen Guo; Xiaohang Zhang; Zhenyu Cheryl Qian; Yingjie Victor Chen (HCI (9), 2016)

Exploring the sequential usage patterns of mobile Internet services based on Markov models. - Xiaohang Zhang; Cenyue Wang; Zhengren Li; Ji Zhu; Wenhua Shi; Qi Wang (Electron. Commer. Res. Appl., 2016)

Crowdsourced Top-k Algorithms: An Experimental Evaluation. - Xiaohang Zhang; Guoliang Li 001; Jianhua Feng (Proc. VLDB Endow., 2016)

CDB: Optimizing Queries with Crowd-Based Selections and Joins. - Guoliang Li 001; Chengliang Chai; Ju Fan; Xueping Weng; Jian Li 015; Yudian Zheng; Yuanbing Li; Xiang Yu; Xiaohang Zhang; Haitao Yuan 002 (SIGMOD Conference, 2017)

The impact research of online reviews' sentiment polarity presentation on consumer purchase decision. - Qi Wang; Lin Wang; Xiaohang Zhang; Yunxia Mao; Peng Wang (Inf. Technol. People, 2017)

A Rating-Ranking Method for Crowdsourced Top-k Computation. - Kaiyu Li; Xiaohang Zhang; Guoliang Li 001 (SIGMOD Conference, 2018)

Receiver responses to referral reward programs in social networks. - Qi Wang; Yunxia Mao; Ji Zhu; Xiaohang Zhang (Electron. Commer. Res., 2018)

The impact of uncertain rewards on customers' recommendation intention in social networks. - Qi Wang; Yan Sun; Ji Zhu; Xiaohang Zhang (Internet Res., 2018)

机器学习算法在中医诊疗中的研究综述 (Review of Machine Learning Algorithms in Traditional Chinese Medicine). - Xiaohang Zhang; Qinglei Shi; Bin Wang 062; Bingwei Wang; Yongji Wang 002; Li Chen; Jingzheng Wu (计算机科学, 2018)

CDB: A Crowd-Powered Database System. - Guoliang Li 001; Chengliang Chai; Ju Fan; Xueping Weng; Jian Li 015; Yudian Zheng; Yuanbing Li; Xiang Yu; Xiaohang Zhang; Haitao Yuan 002 (Proc. VLDB Endow., 2018)

Investment performance measurement of new generation mobile communication networks based on dynamic DEA model. - Yu Du; Xiaohang Zhang; Zhengren Li; Ling Wu (EURASIP J. Wirel. Commun. Netw., 2019)

Active Measurement of Open Resolver Service Nodes. - Hailing Li; Xiaohang Zhang; Shoufeng Cao; Longtao He; Hui Zhang (CSAE, 2020)

Measuring Feature Importance of Convolutional Neural Networks. - Xiaohang Zhang; Jiuyi Gao (IEEE Access, 2020)

Research on the influence of balance patch on players' character preference. - Qi Wang; Yi Yang; Zhengren Li; Na Liu; Xiaohang Zhang (Internet Res., 2020)

A Robust Method to Measure the Global Feature Importance of Complex Prediction Models. - Xiaohang Zhang; Ling Wu; Zhengren Li; Huayuan Liu (IEEE Access, 2021)

Interpreting the black box of supervised learning models: Visualizing the impacts of features on prediction. - Xiaohang Zhang; Yuan Wang; Zhengren Li (Appl. Intell., 2021)

Application of convolutional neural network to traditional data. - Xiaohang Zhang; Fengmin Wu; Zhengren Li (Expert Syst. Appl., 2021)

Local interpretation of supervised learning models based on high dimensional model representation. - Xiaohang Zhang; Ling Wu; Zhengren Li (Inf. Sci., 2021)

Identity-Based Linkable Ring Signature on NTRU Lattice. - Yongli Tang; Feifei Xia; Qing Ye; Mengyao Wang; Ruijie Mu; Xiaohang Zhang (Secur. Commun. Networks, 2021)

ReGFFM : A New Graph Model Designed with Spatial Information for Potential Social Connection Mining. - Kai Zhang; Hui Zhang; Xin He; Li Zhou; Xiaohang Zhang; Chenghai He; Longtao He (CSCWD, 2022)

Boosting the Robustness of Neural Networks with M-PGD. - Chenghai He; Li Zhou; Kai Zhang; Hailing Li; Shoufeng Cao; Gang Xiong 001; Xiaohang Zhang (ICONIP (4), 2022)

Error exponent for concatenated codes in DNA data storage under substitution errors. - Yuxuan Shi; Shuo Shao 001; Xiaohang Zhang; Yongjian Wang; Yongpeng Wu 001 (Sci. China Inf. Sci., 2022)

Revealing the structure of prediction models through feature interaction detection. - Xiaohang Zhang; Hanying Zhang; Ji Zhu; Zhengren Li (Knowl. Based Syst., 2022)

Comparative Research of Hyper-Parameters Mathematical Optimization Algorithms for Automatic Machine Learning in New Generation Mobile Network. - Xiaohang Zhang; Yuqi Li; Zhengren Li (Mob. Networks Appl., 2022)

Boosting Adversarial Transferability Through Intermediate Feature. - Chenghai He; Xiaoqian Li; Xiaohang Zhang; Kai Zhang; Hailing Li; Gang Xiong 001; Xuan Li (ICANN (5), 2023)

A Graph Convolutional Encoder-Decoder Model for Methane Concentration Forecasting in Coal Mines. - Yifei Gao; Xiaohang Zhang; Tianbao Zhang; Zhengren Li (IEEE Access, 2023)

Capturing the form of feature interactions in black-box models. - Hanying Zhang; Xiaohang Zhang; Tianbo Zhang; Ji Zhu (Inf. Process. Manag., 2023)

An Attention-Based Spatio-temporal Model for Methane Concentration Forecasting in Coal Mine. - Yifei Gao; Xiaohang Zhang; Zhengren Li; Yu Du (Neural Process. Lett., 2023)

Laser Linewidth Analysis and Filtering/Fitting Algorithms for Improved TDLAS-Based Optical Gas Sensor. - Chen Tong; Chaotan Sima; Muqi Chen; Xiaohang Zhang; Tailin Li; Yan Ai; Ping Lu 006 (Sensors, 2023)

A Novel Joint AI and Communication Framework with CSI Enhancement. - Xiaohang Zhang; Yuehong Gao; Jinfei Zhou; Shuangfeng Han; Gang Li; Yupeng Li (ICCT, 2024)

Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries. - Boris N. Slautin; Utkarsh Pratiush; Ilia N. Ivanov; Yongtao Liu; Rohit Pant; Xiaohang Zhang; Ichiro Takeuchi; Maxim A. Ziatdinov; Sergei V. Kalinin (CoRR, 2024)

Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data. - Kamyar Barakati; Yu Liu; Chris Nelson; Maxim A. Ziatdinov; Xiaohang Zhang; Ichiro Takeuchi; Sergei V. Kalinin (CoRR, 2024)

Domain generalization based on domain-specific adversarial learning. - Ziping Wang; Xiaohang Zhang; Zhengren Li; Fei Chen (Appl. Intell., 2024)

3D Visualization from Single-Chip Camera in Single Port Access Fetal Robotic Surgery. - Yang Li; Xiyun Li; Xiaohang Zhang; Yuyu Cai; Emmanuel B. Vander Poorten; Carlos Rodriguez Guerrero (ISMR, 2025)

RF-PSignal: The Smart Home Gesture Recognition System Based on Channel-Wise Topology and Self-Adaptive Attention. - Xiaohang Zhang; Chunhong Yue; Yajun Zhang; Kun Liang; Yanxiang Li (IEEE Access, 2025)

Rapid analysis of point-contact Andreev reflection spectra via machine learning with adaptive data augmentation. - Dongik Lee; Valentin G. Stanev; Xiaohang Zhang; Mijeong Kang; Ichiro Takeuchi; Seunghun Lee (CoRR, 2025)

Causal Discovery from Data Assisted by Large Language Models. - Kamyar Barakati; Alexander Molak; Chris Nelson; Xiaohang Zhang; Ichiro Takeuchi; Sergei V. Kalinin (CoRR, 2025)

Word embedding factor based multi-head attention. - Zhengren Li; Yumeng Zhao; Xiaohang Zhang; Huawei Han; Cui Huang (Artif. Intell. Rev., 2025)

Reshaping MOFs Text Mining with a Dynamic Multi-Agent Framework of Large Language Agents. - Zuhong Lin; Daoyuan Ren; Kai Ran; Sun Jing; Xiaotiang Huang; Haiyang He; Pengxu Pan; Xiaohang Zhang; Ying Fang; Tianying Wang; Minli Wu; Zhanglin Li; et al. (CoRR, 2025)