https://chengjun.github.io/authors/ke-ke-shang/Ke-ke ShangWowchemy (https://wowchemy.com)en-usCopyright © Cheng-Jun Wang 2026 Know YourselfFri, 01 Apr 2022 22:20:56 +0800https://chengjun.github.io/media/icon_huee78856177679f3c0297a865dd42e38b_9502_512x512_fill_lanczos_center_3.pnghttps://chengjun.github.io/authors/ke-ke-shang/https://chengjun.github.io/publication/2022-peeking/Fri, 01 Apr 2022 22:20:56 +0800https://chengjun.github.io/publication/2022-peeking/<p> <figure > <div class="d-flex justify-content-center"> <div class="w-100" ><img src="https://user-images.githubusercontent.com/543384/172030656-77690cdb-d6e0-484a-ab7b-4177e391b599.png" alt="image" loading="lazy" data-zoomable /></div> </div></figure> </p> <p>Yaotian Zhang, Mingming Feng, Ke-ke Shang, Yijun Ran, <strong>Cheng-Jun Wang</strong> * (2022) Peeking strategy for Online News Diffusion Prediction via Machine Learning. Accepted by Physica A. In Press. <a href="http://dx.doi.org/10.1016/j.physa.2022.127357" target="_blank" rel="noopener">http://dx.doi.org/10.1016/j.physa.2022.127357</a></p>