Search Results for author: Wei Gao

Found 78 papers, 20 papers with code

Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

1 code implementation NAACL 2022 Fengzhu Zeng, Wei Gao

Little attention has been paid on EArly Rumor Detection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the actual early-stage information is largely missing.

Fact Checking

Wearing Masks Implies Refuting Trump?: Towards Target-specific User Stance Prediction across Events in COVID-19 and US Election 2020

1 code implementation21 Mar 2023 Hong Zhang, Haewoon Kwak, Wei Gao, Jisun An

People who share similar opinions towards controversial topics could form an echo chamber and may share similar political views toward other topics as well.

Stance Detection

DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection

no code implementations25 Oct 2022 Yongkang Liu, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang

Current end-to-end retrieval-based dialogue systems are mainly based on Recurrent Neural Networks or Transformers with attention mechanisms.


Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge

no code implementations23 Sep 2022 Lingzhi Wang, Shafiq Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong

In addition to conducting experiments on a popular dataset (ReDial), we also include a multi-domain dataset (OpenDialKG) to show the effectiveness of our model.

Recommendation Systems

OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms

no code implementations11 Aug 2022 Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang

In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelligence (AI) computing platforms.

Image Classification Medical Image Classification +2

Salient Object Detection for Point Clouds

1 code implementation25 Jul 2022 Songlin Fan, Wei Gao, Ge Li

This paper researches the unexplored task-point cloud salient object detection (SOD).

object-detection Object Detection +1

BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images

3 code implementations17 Jul 2022 Runmin Cong, Haowei Yang, Qiuping Jiang, Wei Gao, Haisheng Li, Cong Wang, Yao Zhao, Sam Kwong

The spread of COVID-19 has brought a huge disaster to the world, and the automatic segmentation of infection regions can help doctors to make diagnosis quickly and reduce workload.

Adaptive Random Fourier Features Kernel LMS

no code implementations14 Jul 2022 Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang

We propose the adaptive random Fourier features Gaussian kernel LMS (ARFF-GKLMS).

Receding Horizon Inverse Reinforcement Learning

no code implementations9 Jun 2022 Yiqing Xu, Wei Gao, David Hsu

Inverse reinforcement learning (IRL) seeks to infer a cost function that explains the underlying goals and preferences of expert demonstrations.

reinforcement-learning Reinforcement Learning (RL)

On the Optimization of Margin Distribution

no code implementations29 Apr 2022 Meng-Zhang Qian, Zheng Ai, Teng Zhang, Wei Gao

Margin has played an important role on the design and analysis of learning algorithms during the past years, mostly working with the maximization of the minimum margin.

Deep Geometry Post-Processing for Decompressed Point Clouds

1 code implementation29 Apr 2022 Xiaoqing Fan, Ge Li, Dingquan Li, Yurui Ren, Wei Gao, Thomas H. Li

Point cloud compression plays a crucial role in reducing the huge cost of data storage and transmission.


Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation

1 code implementation CVPR 2022 Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji

Most existing methods either take the end-to-end supervised learning based manner, where large amounts of pairs of sparse input and dense ground-truth are exploited as supervision information; or treat up-scaling of different scale factors as independent tasks, and have to build multiple networks to handle upsampling with varying factors.

Self-Supervised Learning

A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning

no code implementations6 Apr 2022 Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao

The diffusion of rumors on microblogs generally follows a propagation tree structure, that provides valuable clues on how an original message is transmitted and responded by users over time.

Multiple Instance Learning Stance Classification +1

PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling

no code implementations2 Mar 2022 Hao liu, Hui Yuan, Junhui Hou, Raouf Hamzaoui, Wei Gao

We propose a generative adversarial network for point cloud upsampling, which can not only make the upsampled points evenly distributed on the underlying surface but also efficiently generate clean high frequency regions.

Context-Hierarchy Inverse Reinforcement Learning

no code implementations25 Feb 2022 Wei Gao, David Hsu, Wee Sun Lee

To solve these issues, we present Context Hierarchy IRL(CHIRL), a new IRL algorithm that exploits the context to scale up IRL and learn reward functions of complex behaviors.

Autonomous Driving reinforcement-learning +1

DialMed: A Dataset for Dialogue-based Medication Recommendation

2 code implementations COLING 2022 Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu

Therefore, we make the first attempt to recommend medications with the conversations between doctors and patients.

Graph Attention

OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression

1 code implementation12 Feb 2022 Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu

In point cloud compression, sufficient contexts are significant for modeling the point cloud distribution.

Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval

1 code implementation12 Feb 2022 Xianghao Zang, Ge Li, Wei Gao

To fuse multi-scale feature representation, this paper presents a pyramid structure containing global-level information and many pieces of local-level information from different scales.

Person Re-Identification Retrieval

End-to-end lossless compression of high precision depth maps guided by pseudo-residual

no code implementations10 Jan 2022 Yuyang Wu, Wei Gao

The whole process is comprised of two sub-processes, named pre-processing of depth maps and deep lossless compression of processed depth maps.

Learning to Disentangle Scenes for Person Re-identification

1 code implementation10 Nov 2021 Xianghao Zang, Ge Li, Wei Gao, Xiujun Shu

In this way, the complex scenes in the ReID task are effectively disentangled, and the burden of each branch is relieved.

Person Re-Identification

Deep Visual Navigation under Partial Observability

no code implementations16 Sep 2021 Bo Ai, Wei Gao, Vinay, David Hsu

Importantly, we integrate the multiple neural network modules into a unified controller that achieves robust performance for visual navigation in complex, partially observable environments.

Imitation Learning Navigate +1

Transient Performance Analysis of the $\ell_1$-RLS

no code implementations14 Sep 2021 Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang

The recursive least-squares algorithm with $\ell_1$-norm regularization ($\ell_1$-RLS) exhibits excellent performance in terms of convergence rate and steady-state error in identification of sparse systems.

Towards Understanding Theoretical Advantages of Complex-Reaction Networks

no code implementations15 Aug 2021 Shao-Qun Zhang, Wei Gao, Zhi-Hua Zhou

Complex-valued neural networks have attracted increasing attention in recent years, while it remains open on the advantages of complex-valued neural networks in comparison with real-valued networks.

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

no code implementations CVPR 2021 Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu

However, deep CNNs are vulnerable to adversarial patches, which are physically realizable and stealthy, raising new security concerns on the real-world applications of these models.

Face Recognition

Assessing Individual and Community Vulnerability to Fake News in Social Networks

no code implementations4 Feb 2021 Bhavtosh Rath, Wei Gao, Jaideep Srivastava

In this paper we base our idea on Computational Trust in social networks to propose a novel Community Health Assessment model against fake news.

Community Detection Social and Information Networks

Automating LC-MS/MS mass chromatogram quantification. Wavelet transform based peak detection and automated estimation of peak boundaries and signal-to-noise ratio using signal processing methods

no code implementations21 Jan 2021 Florian Rupprecht, Sören Enge, Kornelius Schmidt, Wei Gao, Clemens Kirschbaum, Robert Miller

While there are many different methods for peak detection, no automatic methods for marking peak boundaries to calculate area under the curve (AUC) and signal-to-noise ratio (SNR) estimation exist.

Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs

no code implementations12 Jan 2021 Wei Gao, Jie Chen, Cédric Richard

Convergence of the diffusion RLS (DRLS) algorithm to steady-state has been extensively studied in the literature, whereas no analysis of its transient convergence behavior has been reported yet.

Towards Convergence Rate Analysis of Random Forests for Classification

no code implementations NeurIPS 2020 Wei Gao, Zhi-Hua Zhou

We get a convergence rate O(n^{-{1}/(d+2)}(\ln n)^{{1}/(d+2)}) for the variant of random forests, which reaches the minimax rate, except for a factor (\ln n)^{{1}/(d+2)}, of the optimal plug-in classifier under the L-Lipschitz assumption.

Classification General Classification

Debunking Rumors on Twitter with Tree Transformer

no code implementations COLING 2020 Jing Ma, Wei Gao

Rumors are manufactured with no respect for accuracy, but can circulate quickly and widely by {``}word-of-post{''} through social media conversations.

Privacy-preserving Collaborative Learning with Automatic Transformation Search

2 code implementations CVPR 2021 Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu

Comprehensive evaluations demonstrate that the policies discovered by our method can defeat existing reconstruction attacks in collaborative learning, with high efficiency and negligible impact on the model performance.

Data Augmentation Privacy Preserving

Optimization-Based Visual-Inertial SLAM Tightly Coupled with Raw GNSS Measurements

1 code implementation22 Oct 2020 Jinxu Liu, Wei Gao, Zhanyi Hu

Unlike loose coupling approaches and the EKF-based approaches in the literature, we propose an optimization-based visual-inertial SLAM tightly coupled with raw Global Navigation Satellite System (GNSS) measurements, a first attempt of this kind in the literature to our knowledge.


Bidirectional Trajectory Computation for Odometer-Aided Visual-Inertial SLAM

no code implementations1 Feb 2020 Jinxu Liu, Wei Gao, Zhanyi Hu

the extrinsic parameters before the first turning, which is a complement of the existing results of observability analyses.


Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning

no code implementations IJCNLP 2019 Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qiong Zhang

Customers ask questions and customer service staffs answer their questions, which is the basic service model via multi-turn customer service (CS) dialogues on E-commerce platforms.

Multiple Instance Learning

Deceptive Opponent Modeling with Proactive Network Interdiction for Stochastic Goal Recognition Control

no code implementations25 Sep 2019 Junren Luo, Wei Gao, Zhiyong Liao, Weilin Yuan, Wanpeng Zhang, Shaofei Chen

Goal recognition based on the observations of the behaviors collected online has been used to model some potential applications.

Subspace Clustering for Panel Data with Interactive Effects

no code implementations22 Sep 2019 Jiangtao Duan, Wei Gao, Hao Qu, Hon Keung Tony

The factor loadings are assumed to be in different subspaces and the subspace clustering for factor loadings are considered.

kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion

no code implementations16 Sep 2019 Wei Gao, Russ Tedrake

Using the proposed hybrid object representation, we formulate the manipulation task as a motion planning problem which encodes both the object target configuration and physical feasibility for a category of objects.

Keypoint Detection Motion Planning

Weighted Oblique Decision Trees

no code implementations17 Jul 2019 Bin-Bin Yang, Song-Qing Shen, Wei Gao

Decision trees have attracted much attention during the past decades.

Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks

no code implementations ACL 2019 Jing Ma, Wei Gao, Shafiq Joty, Kam-Fai Wong

Claim verification is generally a task of verifying the veracity of a given claim, which is critical to many downstream applications.

Claim Verification

SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction

1 code implementation30 Apr 2019 Wei Gao, Russ Tedrake

We contribute a dense SLAM system that takes a live stream of depth images as input and reconstructs non-rigid deforming scenes in real time, without templates or prior models.

Dynamic Reconstruction

An extended description logic system with knowledge element based on ALC

no code implementations16 Apr 2019 Bin Wen, Jianhou Gan, Juan L. G. Guirao, Wei Gao

With the rise of knowledge management and knowledge economy, the knowledge elements that directly link and embody the knowledge system have become the research focus and hotspot in certain areas.


kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation

no code implementations15 Mar 2019 Lucas Manuelli, Wei Gao, Peter Florence, Russ Tedrake

However, representing an object with a parameterized transformation defined on a fixed template cannot capture large intra-category shape variation, and specifying a target pose at a category level can be physically infeasible or fail to accomplish the task -- e. g. knowing the pose and size of a coffee mug relative to some canonical mug is not sufficient to successfully hang it on a rack by its handle.


A security steganography scheme based on hdr image

no code implementations28 Feb 2019 Wei Gao, Yongqing Huo, Yan Qiao

And numerous researches are concentrated on spatial domain and jpeg domain.

Image Steganography

FilterReg: Robust and Efficient Probabilistic Point-Set Registration using Gaussian Filter and Twist Parameterization

1 code implementation CVPR 2019 Wei Gao, Russ Tedrake

Additionally, we present a simple and efficient twist parameterization that generalizes our method to the registration of articulated and deformable objects.

Structure Learning of Deep Neural Networks with Q-Learning

no code implementations31 Oct 2018 Guoqiang Zhong, Wencong Jiao, Wei Gao

Based on reinforcement learning and taking advantages of the superiority of these networks, we propose a novel automatic process to design a multi-block neural network, whose architecture contains multiple types of blocks mentioned above, with the purpose to do structure learning of deep neural networks and explore the possibility whether different blocks can be composed together to form a well-behaved neural network.

Image Classification Q-Learning

Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning

no code implementations EMNLP 2018 Weichao Wang, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang

Then the attention-based CNN model is incorporated into a novel adversarial cross-lingual learning framework, in which with the help of user properties as bridge between languages, we can extract the language-specific features and language-independent features to enrich the user post representation so as to alleviate the data insufficiency problem.

General Classification Multi-Task Learning +2

Generative Adversarial Networks with Decoder-Encoder Output Noise

1 code implementation11 Jul 2018 Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang

The deep convolutional generative adversarial networks (DCGANs) were then proposed to leverage the quality of generated images.

Image Generation Variational Inference

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation

2 code implementations16 Oct 2017 Wei Gao, David Hsu, Wee Sun Lee, ShengMei Shen, Karthikk Subramanian

How can a delivery robot navigate reliably to a destination in a new office building, with minimal prior information?

Autonomous Navigation Navigate

Effects of the optimisation of the margin distribution on generalisation in deep architectures

no code implementations19 Apr 2017 Lech Szymanski, Brendan McCane, Wei Gao, Zhi-Hua Zhou

Despite being so vital to success of Support Vector Machines, the principle of separating margin maximisation is not used in deep learning.

Unorganized Malicious Attacks Detection

no code implementations NeurIPS 2018 Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou

This work considers a different attack style: unorganized malicious attacks, where attackers individually utilize a small number of user profiles to attack different items without any organizer.

Matrix Completion Recommendation Systems

On the Resistance of Nearest Neighbor to Random Noisy Labels

no code implementations26 Jul 2016 Wei Gao, Bin-Bin Yang, Zhi-Hua Zhou

The theoretical results show that, for asymmetric noises, k-nearest neighbor is robust enough to classify most data correctly, except for a handful of examples, whose labels are totally misled by random noises.

Modern Physiognomy: An Investigation on Predicting Personality Traits and Intelligence from the Human Face

no code implementations26 Apr 2016 Rizhen Qin, Wei Gao, Huarong Xu, Zhanyi Hu

The classification results show that the personality traits "Rule-consciousness" and "Vigilance" can be predicted reliably, and that the traits of females can be predicted more accurately than those of male.

General Classification regression

Mouse Pose Estimation From Depth Images

no code implementations24 Nov 2015 Ashwin Nanjappa, Li Cheng, Wei Gao, Chi Xu, Adam Claridge-Chang, Zoe Bichler

We focus on the challenging problem of efficient mouse 3D pose estimation based on static images, and especially single depth images.

3D Pose Estimation

Simple Effective Microblog Named Entity Recognition: Arabic as an Example

no code implementations LREC 2014 Kareem Darwish, Wei Gao

Despite many recent papers on Arabic Named Entity Recognition (NER) in the news domain, little work has been done on microblog NER.

Domain Adaptation Information Retrieval +3

Dropout Rademacher Complexity of Deep Neural Networks

no code implementations16 Feb 2014 Wei Gao, Zhi-Hua Zhou

Great successes of deep neural networks have been witnessed in various real applications.

Convergence analysis of kernel LMS algorithm with pre-tuned dictionary

no code implementations31 Oct 2013 Jie Chen, Wei Gao, Cédric Richard, Jose-Carlos M. Bermudez

In addition to choosing a reproducing kernel and setting filter parameters, designing a KLMS adaptive filter requires to select a so-called dictionary in order to get a finite-order model.

Online dictionary learning for kernel LMS. Analysis and forward-backward splitting algorithm

no code implementations22 Jun 2013 Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang

Unfortunately, an undesirable characteristic of these methods is that the order of the filters grows linearly with the number of input data.

Dictionary Learning

One-Pass AUC Optimization

no code implementations7 May 2013 Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou

AUC is an important performance measure and many algorithms have been devoted to AUC optimization, mostly by minimizing a surrogate convex loss on a training data set.

On the Consistency of AUC Pairwise Optimization

no code implementations3 Aug 2012 Wei Gao, Zhi-Hua Zhou

Based on this result, we prove that exponential loss and logistic loss are consistent with AUC, but hinge loss is inconsistent.


On the Doubt about Margin Explanation of Boosting

no code implementations19 Sep 2010 Wei Gao, Zhi-Hua Zhou

Margin theory provides one of the most popular explanations to the success of \texttt{AdaBoost}, where the central point lies in the recognition that \textit{margin} is the key for characterizing the performance of \texttt{AdaBoost}.

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