Information Searching Tactics of Web Searchers. - Mimi Zhang; Bernard J. Jansen; Amanda Spink (ASIST, 2006)

The effect of brand awareness on the evaluation of search engine results. - Bernard J. Jansen; Mimi Zhang; Ying Zhang (CHI Extended Abstracts, 2007)

Discourse Automatic Annotation of Texts: An Application to Summarization. - Antoine Blais; Iana Atanassova; Jean-Pierre Desclés; Mimi Zhang; Leila Zighem (FLAIRS, 2007)

Brand awareness and the evaluation of search results. - Bernard J. Jansen; Mimi Zhang; Ying Zhang (WWW, 2007)

Patterns and transitions of query reformulation during web searching. - Bernard J. Jansen; Mimi Zhang; Amanda Spink (Int. J. Web Inf. Syst., 2007)

To what degree can log data profile a web searcher? - Bernard J. Jansen; Mimi Zhang; Danielle L. Booth; Daehee Park; Ying Zhang; Ashish Kathuria; Pat Bonner (ASIST, 2009)

Micro-blogging as online word of mouth branding. - Bernard J. Jansen; Mimi Zhang; Kate Sobel; Abdur Chowdury (CHI Extended Abstracts, 2009)

Influences of mood on information seeking behavior. - Mimi Zhang; Bernard J. Jansen (CHI Extended Abstracts, 2009)

Brand and its effect on user perception of search engine performance. - Bernard J. Jansen; Mimi Zhang; Carsten D. Schultz (J. Assoc. Inf. Sci. Technol., 2009)

Twitter power: Tweets as electronic word of mouth. - Bernard J. Jansen; Mimi Zhang; Kate Sobel; Abdur Chowdury (J. Assoc. Inf. Sci. Technol., 2009)

Business engagement on Twitter: a path analysis. - Mimi Zhang; Bernard J. Jansen; Abdur Chowdhury (Electron. Mark., 2011)

The Brand Effect of Key Phrases and Advertisements in Sponsored Search. - Bernard J. Jansen; Kate Sobel; Mimi Zhang (Int. J. Electron. Commer., 2011)

Adaptive regulation of CCD camera for real time eye tracking. - Ruian Liu; Xin Zhou; Nailin Wang; Mimi Zhang (Multim. Tools Appl., 2011)

A Bivariate Maintenance Policy for Multi-State Repairable Systems With Monotone Process. - Mimi Zhang; Min Xie 001; Olivier Gaudoin (IEEE Trans. Reliab., 2013)

A condition-based maintenance strategy for heterogeneous populations. - Mimi Zhang; Zhisheng Ye 001; Min Xie 001 (Comput. Ind. Eng., 2014)

Lower confidence limit for reliability based on grouped data using a quantile-filling algorithm. - Mimi Zhang; Qingpei Hu; Min Xie 001; Dan Yu (Comput. Stat. Data Anal., 2014)

A Stochastic EM Algorithm for Progressively Censored Data Analysis. - Mimi Zhang; Zhisheng Ye 001; Min Xie 001 (Qual. Reliab. Eng. Int., 2014)

Degradation-based maintenance decision using stochastic filtering for systems under imperfect maintenance. - Mimi Zhang; Olivier Gaudoin; Min Xie 001 (Eur. J. Oper. Res., 2015)

An Ameliorated Improvement Factor Model for Imperfect Maintenance and Its Goodness of Fit. - Mimi Zhang; Min Xie 001 (Technometrics, 2017)

Continuous-Observation Partially Observable Semi-Markov Decision Processes for Machine Maintenance. - Mimi Zhang; Matthew Revie (IEEE Trans. Reliab., 2017)

Vine copula approximation: a generic method for coping with conditional dependence. - Mimi Zhang; Tim Bedford (Stat. Comput., 2018)

A movie customer satisfaction index model based on structural equation model. - Yan Wang; Jianping Chai; Mimi Zhang; Songzhu Zheng (Int. J. Arts Technol., 2019)

Forward-stagewise clustering: An algorithm for convex clustering. - Mimi Zhang (Pattern Recognit. Lett., 2019)

Clustering of Big Data with Mixed Features. - Joshua Tobin; Mimi Zhang (CoRR, 2020)

A heuristic policy for maintaining multiple multi-state systems. - Mimi Zhang (Reliab. Eng. Syst. Saf., 2020)

DCF: An Efficient and Robust Density-Based Clustering Method. - Joshua Tobin; Mimi Zhang (ICDM, 2021)

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing. - Mimi Zhang; Andrew Parnell; Dermot Brabazon; Alessio Benavoli (CoRR, 2021)

Saddlepoint approximation for the generalized inverse Gaussian Lévy process. - Mimi Zhang; Matthew Revie; John Quigley (J. Comput. Appl. Math., 2022)

Weighted clustering ensemble: A review. - Mimi Zhang (Pattern Recognit., 2022)

Analysis of Risk Factors and Diagnosis for Anxiety Disorder in Older People with the Aid of Artificial Intelligence: Observational Study. - Jinling Wang 003; Michaela M. Black; Debbie Rankin; Jonathan G. Wallace; Catherine F. Hughes; Leane Hoey; Adrian Moore 001; Joshua Tobin; Mimi Zhang; James Ng; Geraldine Horigan; Paul Carlin; et al. (AICS, 2023)

Reinforced EM Algorithm for Clustering with Gaussian Mixture Models. - Joshua Tobin; Chin Pang Ho; Mimi Zhang (SDM, 2023)

A classification of tetravalent connected vertex-transitive bi-dicirculants. - Jianji Cao; Young Soo Kwon; Mimi Zhang (Discret. Math., 2023)

Review of Clustering Methods for Functional Data. - Mimi Zhang; Andrew Parnell (ACM Trans. Knowl. Discov. Data, 2023)

A classification of connected cubic vertex-transitive bi-Cayley graphs over semidihedral group. - Jianji Cao; Young Soo Kwon; Mimi Zhang (Ars Math. Contemp., 2023)

Incorporating ignorance within game theory: An imprecise probability approach. - Bernard Fares; Mimi Zhang (Int. J. Approx. Reason., 2023)

Multiple population-based multi-objective evolutionary semi-supervised multi-kernel region fuzzy clustering image segmentation. - Feng Zhao 005; Mimi Zhang; Hanqiang Liu 001 (Memetic Comput., 2023)

Learning Mixtures of Gaussian Processes through Random Projection. - Emmanuel Akeweje; Mimi Zhang (ICML, 2024)

Use-Net: Satellite Data-Based Framework for Optimizing Billboard Placement in Urban Areas. - Sukriti Dhang; Prasanjit Dey; Mimi Zhang; Soumyabrata Dev (IGARSS, 2024)

A Research on Attack-Defense Strategies for Electric Vehicle Charging Pile System Based on Bayesian Game Attack-Defense Strategies for Electric Vehicle Charging Pile Systems. - Mimi Zhang; Linyue Ma; Xinyuan Jiao; Ruiguang Lv (PEAI, 2024)

A Theoretical Analysis of Density Peaks Clustering and the Component-Wise Peak-Finding Algorithm. - Joshua Tobin; Mimi Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

AdSegNet: a deep network to localize billboard in outdoor scenes. - Sukriti Dhang; Mimi Zhang; Soumyabrata Dev (Signal Image Video Process., 2024)

Co-clustering multi-view data using the Latent Block Model. - Joshua Tobin; Michaela M. Black; James Ng; Debbie Rankin; Jonathan G. Wallace; Catherine F. Hughes; Leane Hoey; Adrian Moore 001; Jinling Wang 003; Geraldine Horigan; Paul Carlin; Helene McNulty; et al. (Comput. Stat. Data Anal., 2025)

LaBINet - An Approach for Seamlessly Integrating New Advertisement Into an Existing Scene. - Sukriti Dhang; Mimi Zhang; Soumyabrata Dev (IEEE Trans. Artif. Intell., 2025)