Feedback through graph motifs relates structure and function in complex networks

Yu Hu, Steven L. Brunton, Nicholas Cain +3

Chaff Bugs: Deterring Attackers by Making Software Buggier

Zhenghao Hu, Yu Hu, Brendan Dolan-Gavitt

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

Xiaowei Xu, Qing Lu, Yu Hu +4

Probabilistic Reasoning via Deep Learning: Neural Association Models

Quan Liu, Hui Jiang, Andrew Evdokimov +4

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection

Qiankun Tang, Shice Liu, Jie Li +1

The paper proposes a single-shot object detector that mitigates foreground‑background imbalance by promoting positive anchors and aligning features, achieving competitive accuracy…

Part-of-Speech Relevance Weights for Learning Word Embeddings

Quan Liu, Zhen-Hua Ling, Hui Jiang +1

A generative spike train model with time-structured higher order correlations

James Trousdale, Yu Hu, Eric Shea-Brown +1

Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency

Shiliang Zhang, Cong Liu, Hui Jiang +3

Motif Statistics and Spike Correlations in Neuronal Networks

Yu Hu, James Trousdale, Kresimir Josic +1

From the statistics of connectivity to the statistics of spike times in neuronal networks

Gabriel Koch Ocker, Yu Hu, Michael A. Buice +4

Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge

Quan Liu, Hui Jiang, Zhen-Hua Ling +3

Local paths to global coherence: cutting networks down to size

Yu Hu, James Trousdale, Krešimir Josić +1

The sign rule and beyond: Boundary effects, flexibility, and noise correlations in neural population codes

Yu Hu, Joel Zylberberg, Eric Shea-Brown

Impact of network structure and cellular response on spike time correlations

James Trousdale, Yu Hu, Eric Shea-Brown +1