Search Results for author: Bo Ni

Found 4 papers, 3 papers with code

MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge

1 code implementation14 Nov 2023 Bo Ni, Markus J. Buehler

Solving mechanics problems using numerical methods requires comprehensive intelligent capability of retrieving relevant knowledge and theory, constructing and executing codes, analyzing the results, a task that has thus far mainly been reserved for humans.

Language Modelling Large Language Model +1

ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a protein language diffusion model

no code implementations16 Oct 2023 Bo Ni, David L. Kaplan, Markus J. Buehler

Through evolution, nature has presented a set of remarkable protein materials, including elastins, silks, keratins and collagens with superior mechanical performances that play crucial roles in mechanobiology.

Protein Language Model

Action Sequence Augmentation for Early Graph-based Anomaly Detection

1 code implementation20 Oct 2020 Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang

With Eland, anomaly detection performance at an earlier stage is better than non-augmented methods that need significantly more observed data by up to 15% on the Area under the ROC curve.

Data Augmentation Graph Anomaly Detection

Improving Generalizability of Fake News Detection Methods using Propensity Score Matching

1 code implementation28 Jan 2020 Bo Ni, Zhichun Guo, Jianing Li, Meng Jiang

Recently, due to the booming influence of online social networks, detecting fake news is drawing significant attention from both academic communities and general public.

Fake News Detection regression

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