Search Results for author: Fangbo Tao

Found 8 papers, 2 papers with code

WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability

no code implementations5 Oct 2022 Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang

Recent works show that learning attention in the Fourier space can improve the long sequence learning capability of Transformers.

The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition

1 code implementation4 Jun 2022 Zihao Zhao, Yanhong Wang, Qiaosha Zou, Tie XU, Fangbo Tao, Jiansong Zhang, Xiaoan Wang, C. -J. Richard Shi, Junwen Luo, Yuan Xie

At last, we conclude the few-shot learning paradigm of the developed network: 1) a hierarchical structure-based network design involves human prior knowledge; 2) SNNs for content based global dynamic feature detection.

Action Recognition Few-Shot Learning +1

Augmenting Proposals by the Detector Itself

no code implementations28 Jan 2021 Xiaopei Wan, Zhenhua Guo, Chao He, Yujiu Yang, Fangbo Tao

Lacking enough high quality proposals for RoI box head has impeded two-stage and multi-stage object detectors for a long time, and many previous works try to solve it via improving RPN's performance or manually generating proposals from ground truth.

TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering

2 code implementations22 Dec 2018 Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian Sadler, Michelle Vanni, Jiawei Han

Our method, TaxoGen, uses term embeddings and hierarchical clustering to construct a topic taxonomy in a recursive fashion.


Guess Me if You Can: Acronym Disambiguation for Enterprises

no code implementations ACL 2018 Yang Li, Bo Zhao, Ariel Fuxman, Fangbo Tao

The framework takes the enterprise corpus as input and produces a high-quality acronym disambiguation system as output.

Question Answering

Identifying Semantically Deviating Outlier Documents

no code implementations EMNLP 2017 Honglei Zhuang, Chi Wang, Fangbo Tao, Lance Kaplan, Jiawei Han

A document outlier is a document that substantially deviates in semantics from the majority ones in a corpus.

Outlier Detection

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