Search Results for author: Xinyu Wang

Found 65 papers, 31 papers with code

Correcting the Misuse: A Method for the Chinese Idiom Cloze Test

no code implementations EMNLP (DeeLIO) 2020 Xinyu Wang, Hongsheng Zhao, Tan Yang, Hongbo Wang

The cloze test for Chinese idioms is a new challenge in machine reading comprehension: given a sentence with a blank, choosing a candidate Chinese idiom which matches the context.

Cloze Test Machine Reading Comprehension +2

Simultaneous Synthesis and Verification of Neural Control Barrier Functions through Branch-and-Bound Verification-in-the-loop Training

no code implementations17 Nov 2023 Xinyu Wang, Luzia Knoedler, Frederik Baymler Mathiesen, Javier Alonso-Mora

In this work, we leverage bound propagation techniques and the Branch-and-Bound scheme to efficiently verify that a neural network satisfies the conditions to be a CBF over the continuous state space.

A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports

no code implementations27 Oct 2023 Xinyu Wang, Lin Gui, Yulan He

Table of contents (ToC) extraction centres on structuring documents in a hierarchical manner.

A Unified Remote Sensing Anomaly Detector Across Modalities and Scenes via Deviation Relationship Learning

1 code implementation11 Oct 2023 Jingtao Li, Xinyu Wang, Hengwei Zhao, Liangpei Zhang, Yanfei Zhong

Firstly, we reformulate the anomaly detection task as an undirected bilayer graph based on the deviation relationship, where the anomaly score is modeled as the conditional probability, given the pattern of the background and normal objects.

Anomaly Detection

SwitchGPT: Adapting Large Language Models for Non-Text Outputs

no code implementations14 Sep 2023 Xinyu Wang, Bohan Zhuang, Qi Wu

To bridge this gap, we propose a novel approach, \methodname, from a modality conversion perspective that evolves a text-based LLM into a multi-modal one.

Backdoor Attack through Machine Unlearning

1 code implementation12 Sep 2023 Peixin Zhang, Jun Sun, Mingtian Tan, Xinyu Wang

Since backdoors are implanted during the iterative unlearning process, it significantly increases the computational overhead of existing defense methods for backdoor detection or mitigation.

Backdoor Attack

Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery

1 code implementation ICCV 2023 Hengwei Zhao, Xinyu Wang, Jingtao Li, Yanfei Zhong

Positive-unlabeled learning (PU learning) in hyperspectral remote sensing imagery (HSI) is aimed at learning a binary classifier from positive and unlabeled data, which has broad prospects in various earth vision applications.

DiLogics: Creating Web Automation Programs With Diverse Logics

no code implementations10 Aug 2023 Kevin Pu, Jim Yang, Angel Yuan, Minyi Ma, Rui Dong, Xinyu Wang, Yan Chen, Tovi Grossman

Knowledge workers frequently encounter repetitive web data entry tasks, like updating records or placing orders.

New Interaction Paradigm for Complex EDA Software Leveraging GPT

1 code implementation27 Jul 2023 Boyu Han, Xinyu Wang, Yifan Wang, Junyu Yan, Yidong Tian

In the rapidly growing field of electronic design automation (EDA), professional software such as KiCad, Cadence , and Altium Designer provide increasingly extensive design functionalities.

A Badminton Recognition and Tracking System Based on Context Multi-feature Fusion

no code implementations26 Jun 2023 Xinyu Wang, Jianwei Li

Ball recognition and tracking have traditionally been the main focus of computer vision researchers as a crucial component of sports video analysis.

Green Steganalyzer: A Green Learning Approach to Image Steganalysis

no code implementations6 Jun 2023 Yao Zhu, Xinyu Wang, Hong-Shuo Chen, Ronald Salloum, C. -C. Jay Kuo

A novel learning solution to image steganalysis based on the green learning paradigm, called Green Steganalyzer (GS), is proposed in this work.

Self-Supervised Learning Steganalysis

Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization

no code implementations30 May 2023 Xinyu Wang, Lin Gui, Yulan He

By directly minimizing Hausdorff distance, the model is trained towards the global optimum directly, which improves performance and reduces training time.

Event Extraction

IMAP: Intrinsically Motivated Adversarial Policy

no code implementations4 May 2023 Xiang Zheng, Xingjun Ma, Shengjie Wang, Xinyu Wang, Chao Shen, Cong Wang

Our experiments validate the effectiveness of the four types of adversarial intrinsic regularizers and BR in enhancing black-box adversarial policy learning across a variety of environments.

Reinforcement Learning (RL)

Transition Propagation Graph Neural Networks for Temporal Networks

1 code implementation15 Apr 2023 Tongya Zheng, Zunlei Feng, Tianli Zhang, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Ji Zhao, Chun Chen

The proposed TIP-GNN focuses on the bilevel graph structure in temporal networks: besides the explicit interaction graph, a node's sequential interactions can also be constructed as a transition graph.

Graph Mining Link Prediction +1

One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning

1 code implementation22 Mar 2023 Jingtao Li, Xinyu Wang, Shaoyu Wang, Hengwei Zhao, Liangpei Zhang, Yanfei Zhong

In this paper, an unsupervised transferred direct detection (TDD) model is proposed, which is optimized directly for the anomaly detection task (one-step paradigm) and has transferability.

Anomaly Detection

Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors

1 code implementation31 Jan 2023 Jingtao Li, Xinyu Wang, Hengwei Zhao, Shaoyu Wang, Yanfei Zhong

Anomaly segmentation in high spatial resolution (HSR) remote sensing imagery is aimed at segmenting anomaly patterns of the earth deviating from normal patterns, which plays an important role in various Earth vision applications.

One-Class Classification Segmentation

SPTS v2: Single-Point Scene Text Spotting

3 code implementations4 Jan 2023 Yuliang Liu, Jiaxin Zhang, Dezhi Peng, Mingxin Huang, Xinyu Wang, Jingqun Tang, Can Huang, Dahua Lin, Chunhua Shen, Xiang Bai, Lianwen Jin

Within the context of our SPTS v2 framework, our experiments suggest a potential preference for single-point representation in scene text spotting when compared to other representations.

Text Detection Text Spotting

Named Entity and Relation Extraction with Multi-Modal Retrieval

1 code implementation3 Dec 2022 Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu

MoRe contains a text retrieval module and an image-based retrieval module, which retrieve related knowledge of the input text and image in the knowledge corpus respectively.

Multi-modal Named Entity Recognition Named Entity Recognition +3

NeurIPS 2022 Competition: Driving SMARTS

no code implementations14 Nov 2022 Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen

The proposed competition supports methodologically diverse solutions, such as reinforcement learning (RL) and offline learning methods, trained on a combination of naturalistic AD data and open-source simulation platform SMARTS.

Autonomous Driving Reinforcement Learning (RL)

One-Class Risk Estimation for One-Class Hyperspectral Image Classification

no code implementations27 Oct 2022 Hengwei Zhao, Yanfei Zhong, Xinyu Wang, Hong Shu

Hyperspectral imagery (HSI) one-class classification is aimed at identifying a single target class from the HSI by using only knowing positive data, which can significantly reduce the requirements for annotation.

Classification Hyperspectral Image Classification +3

Statistical Attention Localization (SAL): Methodology and Application to Object Classification

no code implementations3 Aug 2022 Yijing Yang, Vasileios Magoulianitis, Xinyu Wang, C. -C. Jay Kuo

SAL consists of three steps: 1) preliminary attention window selection via decision statistics, 2) attention map refinement, and 3) rectangular attention region finalization.


Automated Evaluation for Student Argumentative Writing: A Survey

no code implementations9 May 2022 Xinyu Wang, Yohan Lee, Juneyoung Park

This paper surveys and organizes research works in an under-studied area, which we call automated evaluation for student argumentative writing.

Automated Writing Evaluation

Stability of China's Stock Market: Measure and Forecast by Ricci Curvature on Network

no code implementations14 Apr 2022 Xinyu Wang, Liang Zhao, Ning Zhang, Liu Feng, Haibo Lin

As far as we know, this is the first paper to apply Ricci curvature to forecast the systemic stability of domestic stock market, and our results show that Ricci curvature has good explanatory power for the market stability and can be a good indicator to judge the future risk and volatility of the domestic market.

Time Series Time Series Analysis

Transfinite Modal Logic: a Semi-quantitative Explanation for Bayesian Reasoning

no code implementations2 Apr 2022 Xinyu Wang

Bayesian reasoning plays a significant role both in human rationality and in machine learning.

Repairing Adversarial Texts through Perturbation

no code implementations29 Dec 2021 Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong

Furthermore, such attacks are impossible to eliminate, i. e., the adversarial perturbation is still possible after applying mitigation methods such as adversarial training.

Adversarial Text

SPTS: Single-Point Text Spotting

1 code implementation15 Dec 2021 Dezhi Peng, Xinyu Wang, Yuliang Liu, Jiaxin Zhang, Mingxin Huang, Songxuan Lai, Shenggao Zhu, Jing Li, Dahua Lin, Chunhua Shen, Xiang Bai, Lianwen Jin

For the first time, we demonstrate that training scene text spotting models can be achieved with an extremely low-cost annotation of a single-point for each instance.

Language Modelling Text Detection +1

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition

1 code implementation NAACL 2022 Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

As text representations take the most important role in MNER, in this paper, we propose {\bf I}mage-{\bf t}ext {\bf A}lignments (ITA) to align image features into the textual space, so that the attention mechanism in transformer-based pretrained textual embeddings can be better utilized.

Multi-modal Named Entity Recognition named-entity-recognition +1

Learning Dynamic Preference Structure Embedding From Temporal Networks

1 code implementation23 Nov 2021 Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu

Our proposed Dynamic Preference Structure (DPS) framework consists of two stages: structure sampling and graph fusion.

Graph Sampling

Fairness Testing of Deep Image Classification with Adequacy Metrics

no code implementations17 Nov 2021 Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang

DeepFAIT consists of several important components enabling effective fairness testing of deep image classification applications: 1) a neuron selection strategy to identify the fairness-related neurons; 2) a set of multi-granularity adequacy metrics to evaluate the model's fairness; 3) a test selection algorithm for fixing the fairness issues efficiently.

Classification Face Recognition +3

A-PixelHop: A Green, Robust and Explainable Fake-Image Detector

no code implementations7 Nov 2021 Yao Zhu, Xinyu Wang, Hong-Shuo Chen, Ronald Salloum, C. -C. Jay Kuo

A novel method for detecting CNN-generated images, called Attentive PixelHop (or A-PixelHop), is proposed in this work.

Dependency Induction Through the Lens of Visual Perception

1 code implementation CoNLL (EMNLP) 2021 Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig

Our experiments find that concreteness is a strong indicator for learning dependency grammars, improving the direct attachment score (DAS) by over 50\% as compared to state-of-the-art models trained on pure text.

Constituency Grammar Induction Dependency Parsing

Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling

no code implementations17 Jul 2021 Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong

In this work, we bridge the gap by proposing a scalable and effective approach for systematically searching for discriminatory samples while extending existing fairness testing approaches to address a more challenging domain, i. e., text classification.

Fairness text-classification +1

ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment

1 code implementation12 Jul 2021 Chun Chet Ng, Akmalul Khairi Bin Nazaruddin, Yeong Khang Lee, Xinyu Wang, Yuliang Liu, Chee Seng Chan, Lianwen Jin, Yipeng Sun, Lixin Fan

With hundreds of thousands of electronic chip components are being manufactured every day, chip manufacturers have seen an increasing demand in seeking a more efficient and effective way of inspecting the quality of printed texts on chip components.

Text Spotting

Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

3 code implementations ACL 2021 Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

We find empirically that the contextual representations computed on the retrieval-based input view, constructed through the concatenation of a sentence and its external contexts, can achieve significantly improved performance compared to the original input view based only on the sentence.

Chinese Named Entity Recognition Chunking +2

WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification

no code implementations27 Dec 2020 Xin Hu, Yanfei Zhong, Chang Luo, Xinyu Wang

Some start-of-art hyperspectral image classification methods benchmarked the WHU-Hi dataset, and the experimental results show that WHU-Hi is a challenging dataset.

Classification General Classification +1

Towards Repairing Neural Networks Correctly

no code implementations3 Dec 2020 Guoliang Dong, Jun Sun, Jingyi Wang, Xinyu Wang, Ting Dai

Neural networks are increasingly applied to support decision making in safety-critical applications (like autonomous cars, unmanned aerial vehicles and face recognition based authentication).

Decision Making Face Recognition

Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network

no code implementations20 Feb 2020 Yuanyuan Jin, Wei zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang

Given a set of symptoms to treat, we aim to generate an overall syndrome representation by effectively fusing the embeddings of all the symptoms in the set, to mimic how a doctor induces the syndromes.

Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection

1 code implementation20 Dec 2019 Yuliang Liu, Tong He, Hao Chen, Xinyu Wang, Canjie Luo, Shuaitao Zhang, Chunhua Shen, Lianwen Jin

More importantly, based on OBD, we provide a detailed analysis of the impact of a collection of refinements, which may inspire others to build state-of-the-art text detectors.

Scene Text Detection Text Detection

There is Limited Correlation between Coverage and Robustness for Deep Neural Networks

no code implementations14 Nov 2019 Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Dai Ting

In this work, we conduct an empirical study to evaluate the relationship between coverage, robustness and attack/defense metrics for DNN.

Face Recognition Malware Detection

Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians

no code implementations1 Nov 2019 Chaochao Li, Pei Lv, Mingliang Xu, Xinyu Wang, Dinesh Manocha, Bing Zhou, Meng Wang

We update this map dynamically based on the agents in the environment and prior trajectory of a pedestrian.

Trajectory Prediction

Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction

1 code implementation22 Sep 2019 Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong, Xingen Wang

In this work, we propose an approach to extract probabilistic automata for interpreting an important class of neural networks, i. e., recurrent neural networks.

Machine Translation Object Recognition

Sketch-Driven Regular Expression Generation from Natural Language and Examples

1 code implementation16 Aug 2019 Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett

Our system achieves state-of-the-art performance on the prior datasets and solves 57% of the real-world dataset, which existing neural systems completely fail on.

Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing

5 code implementations14 Dec 2018 Jingyi Wang, Guoliang Dong, Jun Sun, Xinyu Wang, Peixin Zhang

We thus first propose a measure of `sensitivity' and show empirically that normal samples and adversarial samples have distinguishable sensitivity.

Two-sample testing

Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing

no code implementations14 May 2018 Jingyi Wang, Jun Sun, Peixin Zhang, Xinyu Wang

Recently, it has been shown that deep neural networks (DNN) are subject to attacks through adversarial samples.

Event Representations for Automated Story Generation with Deep Neural Nets

1 code implementation5 Jun 2017 Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl

We then present a technique for automated story generation whereby we decompose the problem into the generation of successive events (event2event) and the generation of natural language sentences from events (event2sentence).

Event Expansion Story Generation +1

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