activity
20202026
most citedDeveloping Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition

12 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2026

A Gradient-based yet Spike-Timing-Dependent Solution to the Feedback Learning Problem in Neural Microcircuits

Xiangnan Zhang, Jingxin Liu, Ranqi Lu +6

The brain uses discrete spikes for dynamic computation, yet, how neural microcircuits (NMCs) solve temporal credit assignment using local spike timing remains a fundamental open qu…

cs.CL2025

First, Do No Harm: AI Supervisor Scaffolds Novice Growth in Counselor Education

Chen Xu, Zhenyu Lyu, Tian Lan +12

The most dangerous mistakes a novice counselor makes are not the obvious ones: they are utterances that sound caring while quietly violating professional ethics and leaving vulnera…

cs.CL2024

DECIDER: A Dual-System Rule-Controllable Decoding Framework for Language Generation

Chen Xu, Tian Lan, Yu Ji +8

Constrained decoding approaches aim to control the meaning or style of text generated by the pre-trained large language models (LLMs or also PLMs) for various tasks at inference ti…

eess.IV2021

Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding

J. Zhang, Q. Dong, J. Shi +9

Hyperbolic geometry has been successfully applied in modeling brain cortical and subcortical surfaces with general topological structures. However such approaches, similar to other…

cs.CV2020★ 12 cited

Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition

Gang Wang, Qunxi Dong, Jianfeng Wu +11

Cognitive decline due to Alzheimer's disease (AD) is closely associated with brain structure alterations captured by structural magnetic resonance imaging (sMRI). It supports the v…