Search Results for author: Zheng Fang

Found 27 papers, 8 papers with code

TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network

no code implementations EMNLP 2021 Zheng Fang, Yanan Cao, Tai Li, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu

To alleviate label scarcity in Named Entity Recognition (NER) task, distantly supervised NER methods are widely applied to automatically label data and identify entities.

Named Entity Recognition NER

Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes

no code implementations19 May 2022 Zheng Fang, Biao Zhao, Guizhong Liu

For visual representation, a representation driven by a combination of the imageaugmented forward dynamics and the reward is acquired.

Image Augmentation Representation Learning +1

Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media

no code implementations6 May 2022 Lixing Zhu, Zheng Fang, Gabriele Pergola, Rob Procter, Yulan He

Building models to detect vaccine attitudes on social media is challenging because of the composite, often intricate aspects involved, and the limited availability of annotated data.

Aspect-Based Sentiment Analysis Stance Detection

3D Object Tracking with Transformer

1 code implementation28 Oct 2021 Yubo Cui, Zheng Fang, Jiayao Shan, Zuoxu Gu, Sifan Zhou

By using cross-attention, the transformer decoder fuses features and includes more target cues into the current point cloud feature to compute the region attentions, which makes the similarity computing more efficient.

3D Object Tracking Object Tracking

PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds

1 code implementation14 Aug 2021 Jiayao Shan, Sifan Zhou, Zheng Fang, Yubo Cui

Our code is open-sourced for the robotics community at https://github. com/shanjiayao/PTT.

Object Tracking

3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud

no code implementations12 Aug 2021 Zheng Fang, Sifan Zhou, Yubo Cui, Sebastian Scherer

Then, to fuse the information of features in the two branches and obtain their similarity, we propose two cross correlation modules, named Pointcloud-wise and Point-wise respectively.

Object Tracking Region Proposal

Implementing an Improved Test of Matrix Rank in Stata

no code implementations1 Aug 2021 Qihui Chen, Zheng Fang, Xun Huang

We develop a Stata command, bootranktest, for implementing the matrix rank test of Chen and Fang (2019) in linear instrumental variable regression models.

Deep Differential Amplifier for Extractive Summarization

no code implementations ACL 2021 Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang

In this paper, we conceptualize the single-document extractive summarization as a rebalance problem and present a deep differential amplifier framework.

Extractive Summarization imbalanced classification

A Unifying Framework for Testing Shape Restrictions

no code implementations26 Jul 2021 Zheng Fang

This paper makes the following original contributions.

Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting

1 code implementation24 Jun 2021 Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie

However, the representation ability of such models is limited due to: (1) shallow GNNs are incapable to capture long-range spatial correlations, (2) only spatial connections are considered and a mass of semantic connections are ignored, which are of great importance for a comprehensive understanding of traffic networks.

Traffic Prediction

NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection

1 code implementation4 Jun 2021 Zekun Luo, Zheng Fang, Sixiao Zheng, Yabiao Wang, Yanwei Fu

Non-Maximum Suppression (NMS) is essential for object detection and affects the evaluation results by incorporating False Positives (FP) and False Negatives (FN), especially in crowd occlusion scenes.

Object Detection Pedestrian Detection

A Query-Driven Topic Model

no code implementations Findings (ACL) 2021 Zheng Fang, Yulan He, Rob Procter

Topic modeling is an unsupervised method for revealing the hidden semantic structure of a corpus.

Topic Models

Improved Signed Distance Function for 2D Real-time SLAM and Accurate Localization

no code implementations20 Jan 2021 Xingyin Fu, Zheng Fang, Xizhen Xiao, Yijia He, Xiao Liu

In this paper, we propose an improved Signed Distance Function (SDF) for both 2D SLAM and pure localization to improve the accuracy of mapping and localization.

Pose Estimation

TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting

no code implementations30 Nov 2020 Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie

Further analysis indicates that the locality and globality of the traffic networks are critical to traffic flow prediction and the proposed TSSRGCN model can adapt to the various temporal traffic patterns.

Event-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition

no code implementations6 Nov 2020 Delei Kong, Zheng Fang, Haojia Li, Kuanxu Hou, Sonya Coleman, Dermot Kerr

In this paper, we propose an end-to-end visual place recognition network for event cameras, which can achieve good place recognition performance in challenging environments.

Frame Visual Place Recognition

Inference for Large-Scale Linear Systems with Known Coefficients

no code implementations18 Sep 2020 Zheng Fang, Andres Santos, Azeem M. Shaikh, Alexander Torgovitsky

This paper considers the problem of testing whether there exists a non-negative solution to a possibly under-determined system of linear equations with known coefficients.

Deep Patch-based Human Segmentation

no code implementations11 Jul 2020 Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin, Antonio Robles-Kelly, Chao Zhang, Ying He

3D human segmentation has seen noticeable progress in re-cent years.

A Projection Framework for Testing Shape Restrictions That Form Convex Cones

no code implementations17 Oct 2019 Zheng Fang, Juwon Seo

Based on a monotonicity property afforded by such a geometric structure, we construct a bootstrap procedure that, unlike many studies in nonstandard settings, dispenses with estimation of local parameter spaces, and the critical values are obtained in a way as simple as computing the test statistic.

Precision annealing Monte Carlo methods for statistical data assimilation and machine learning

no code implementations6 Jul 2019 Zheng Fang, Adrian S. Wong, Kangbo Hao, Alexander J. A. Ty, Henry D. I. Abarbanel

In this paper, we develop a systematic formulation based on Monte Carlo sampling to achieve such information transfer.


DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image

1 code implementation25 Mar 2019 Pengfei Yao, Zheng Fang, Fan Wu, Yao Feng, Jiwei Li

Recovering 3D human body shape and pose from 2D images is a challenging task due to high complexity and flexibility of human body, and relatively less 3D labeled data.

Machine Learning of Time Series Using Time-delay Embedding and Precision Annealing

no code implementations12 Feb 2019 Alexander J. A. Ty, Zheng Fang, Rivver A. Gonzalez, Paul J. Rozdeba, Henry D. I. Abarbanel

We proceed from a scalar time series $s(t_n); t_n = t_0 + n \Delta t$ and using methods of nonlinear time series analysis show how to produce a $D_E > 1$ dimensional time delay embedding space in which the time series has no false neighbors as does the observed $s(t_n)$ time series.

Time Series Time Series Analysis

Joint Entity Linking with Deep Reinforcement Learning

no code implementations1 Feb 2019 Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhen-Yu Zhang, Yanbing Liu

Entity linking is the task of aligning mentions to corresponding entities in a given knowledge base.

Entity Linking reinforcement-learning

Parallel and Scalable Heat Methods for Geodesic Distance Computation

1 code implementation14 Dec 2018 Jiong Tao, Juyong Zhang, Bailin Deng, Zheng Fang, Yue Peng, Ying He

In this paper, we propose a parallel and scalable approach for geodesic distance computation on triangle meshes.


RGB-D SLAM in Dynamic Environments Using Point Correlations

no code implementations8 Nov 2018 Weichen Dai, Yu Zhang, Ping Li, Zheng Fang, Sebastian Scherer

This method utilizes the correlation between map points to separate points that are part of the static scene and points that are part of different moving objects into different groups.

Motion Estimation Simultaneous Localization and Mapping

Efficient Image Categorization with Sparse Fisher Vector

no code implementations15 Oct 2014 Xiankai Lu, Zheng Fang, Tao Xu, Haiting Zhang, Hongya Tuo

In object recognition, Fisher vector (FV) representation is one of the state-of-art image representations ways at the expense of dense, high dimensional features and increased computation time.

Image Categorization Object Recognition

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