activity
20182023
most citedTheoretical foundations of studying criticality in the brain

43 citations · 59 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023★ 10 cited

GLIME: General, Stable and Local LIME Explanation

Zeren Tan, Yang Tian, Jian Li

As black-box machine learning models grow in complexity and find applications in high-stakes scenarios, it is imperative to provide explanations for their predictions. Although Loc…

q-bio.NC2023★ 43 cited

Theoretical foundations of studying criticality in the brain

Yang Tian, Zeren Tan, Hedong Hou +6

Criticality is hypothesized as a physical mechanism underlying efficient transitions between cortical states and remarkable information processing capacities in the brain. While co…

q-bio.PE2022

Self-organized critical dynamics of RNA virus evolution

Xiaofei Ge, Kaichao You, Zeren Tan +3

RNA virus (e.g., SARS-CoV-2) evolves in a complex manner. Studying RNA virus evolution is vital for understanding molecular evolution and medicine development. Scientists lack, how…

cs.DS2021★ 1 cited

T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP

Jiaye Teng, Zeren Tan, Yang Yuan

It is challenging to deal with censored data, where we only have access to the incomplete information of survival time instead of its exact value. Fortunately, under linear predict…

cs.DS2019★ 1 cited

How Many Passengers Can We Serve with Ride-sharing?

Zeren Tan

Ride-sharing can reduce traffic congestion and thus reduce gas emissions and save travel time. However, transportation system with ride-sharing is currently inefficient due to low…

stat.ML2018★ 4 cited

A Dynamic Model for Traffic Flow Prediction Using Improved DRN

Zeren Tan, Ruimin Li

Real-time traffic flow prediction can not only provide travelers with reliable traffic information so that it can save people's time, but also assist the traffic management agency…