Search Results for author: Chen Luo

Found 12 papers, 2 papers with code

A Fast Randomized Algorithm for Massive Text Normalization

no code implementations6 Oct 2021 Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue

In addition, FLAN does not require any annotated data or supervised learning.

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction

no code implementations19 Aug 2021 Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang

We study the problem of query attribute value extraction, which aims to identify named entities from user queries as diverse surface form attribute values and afterward transform them into formally canonical forms.

Attribute Value Extraction Named Entity Recognition +1

Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches

no code implementations20 Nov 2020 Jing Guo, Shuping Wang, Chen Luo, Qiyu Jin, Michael Kwok-Po Ng

Local patch matching is to find similar patches in a large neighborhood which can alleviate noise effect, but the number of patches may be insufficient.

Image Denoising Patch Matching +1

Unifying data for fine-grained visual species classification

no code implementations24 Sep 2020 Sayali Kulkarni, Tomer Gadot, Chen Luo, Tanya Birch, Eric Fegraus

Wildlife monitoring is crucial to nature conservation and has been done by manual observations from motion-triggered camera traps deployed in the field.

Classification General Classification

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs

no code implementations15 May 2020 Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen

Detecting anomalies in dynamic graphs is a vital task, with numerous practical applications in areas such as security, finance, and social media.

Anomaly Detection Network Embedding

Scaling-up Split-Merge MCMC with Locality Sensitive Sampling (LSS)

no code implementations21 Feb 2018 Chen Luo, Anshumali Shrivastava

It is well known that state-of-the-art methods for split-merge MCMC do not scale well.

Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer

no code implementations25 Aug 2017 Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li

Given a well-trained dependency graph from a source domain and an immature dependency graph from a target domain, how can we extract the entity and dependency knowledge from the source to enhance the target?

Graph Learning Intrusion Detection +1

Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision

no code implementations12 Nov 2016 Dapeng Luo, Zhipeng Zeng, Nong Sang, Xiang Wu, Longsheng Wei, Quanzheng Mou, Jun Cheng, Chen Luo

In this paper, the proposed framework takes a remarkably different direction to resolve the multi-scene detection problem in a bottom-up fashion.

Object Detection online learning +1

SSH (Sketch, Shingle, & Hash) for Indexing Massive-Scale Time Series

1 code implementation24 Oct 2016 Chen Luo, Anshumali Shrivastava

However, branch and bound based pruning are only useful for very short queries (low dimensional time series), and the bounds are quite weak for longer queries.

Dynamic Time Warping Time Series

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