Contexture Lab
The Contexture Lab recovers the continuity that categorical thinking erases. Reality exists as interconnected continua without natural boundaries, yet we impose categorical partitions to comprehend it—introducing bias and concealing underlying structure. We develop methods to reveal the spectra and nuance that these partitions obscure.
Lab News
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October 01, 2025 — VizTrust highlighted in Communications of the ACM 🎉
Xin Wang’s VizTrust project was featured in Communications of the ACM. It’s truly an honor! -
September 23, 2025 — Invited to speak at CompleNet 2026
Sadamori Kojaku is invited for a keynote speach. Read more -
July 21, 2025 — Link prediction paper presented at ICML 2025
Our paper on implicit degree bias in link prediction was presented at ICML 2025 in Vancouver, Canada (Acceptance rate: 26.9%). -
June 01, 2025 — Lab presents 3 papers at NetSci 2025
Xin Wang and Xuanchi Li presented their work at NetSci 2025 in Maastricht, Netherlands on implicit degree bias in link prediction and near-linear time algorithms for configuration models. -
May 01, 2025 — VizTrust featured on BingUNews
Xin Wang’s VizTrust project was featured on Binghamton University News -
May 01, 2025 — VizTrust receives research grant
Xin Wang’s VizTrust project successfully landed Multidisciplinary Summer Research Grant ($3,012.58) from the Center for Cognitive Applications. -
April 01, 2025 — Lab presents at CompleNet 2025
Xuanchi Li and Sadamori Kojaku presented papers on link prediction bias and configuration model algorithms at CompleNet 2025 in Brazil. -
March 01, 2025 — Artwork selected for 2025 Art of Science competition
Sadamori Kojaku’s ‘Gravity of Ideas: Mapping Science at Binghamton University’ was chosen by Zagham Shaw, digital content creator at the Office of Research Advancement, from the Visualizing the Unseen Category. View artwork -
July 08, 2024 — Xin Wang presents at ACM CUI 2024
Xin Wang presented poster on ‘User Trust Modeling in Conversational User Interface Based on Word Embedding Bias’ at The ACM Conference on Conversational User Interfaces. -
March 20, 2024 — Xin Wang presents at NERCCS 2024
Xin Wang presented poster on analyzing patient reviews on Google Map hospital profiles through neural embedding and network modeling at NERCCS in Clarkson, NY.
The Contexture Lab is led by Sadamori Kojaku, Assistant Professor in the School of Systems Science and Industrial Engineering (SSIE) at Binghamton University.