Search Results for author: Xinbing Wang

Found 43 papers, 19 papers with code

RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction

1 code implementation ACL 2022 Zhe Li, Luoyi Fu, Xinbing Wang, Haisong Zhang, Chenghu Zhou

However, most existing works either ignore the semantic information of relations or predict subjects and objects sequentially.

Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus

1 code implementation22 Nov 2023 Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu

Large Language Models (LLMs) have gained significant popularity for their impressive performance across diverse fields.


Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation

no code implementations29 Aug 2023 Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu, Lei Zhou, Xinbing Wang, Chenghu Zhou

To this end, we investigate the limits of historical information for temporal knowledge graph extrapolation and propose a new event forecasting model called Contrastive Event Network (CENET) based on a novel training framework of historical contrastive learning.

Contrastive Learning Knowledge Graphs

Graph Out-of-Distribution Generalization with Controllable Data Augmentation

no code implementations16 Aug 2023 Bin Lu, Xiaoying Gan, Ze Zhao, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou

The spurious correlations over hybrid distribution deviation degrade the performance of previous GNN methods and show large instability among different datasets.

Data Augmentation Graph Classification +2

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination

no code implementations5 Jun 2023 Yang Li, Shao Zhang, Jichen Sun, WenHao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan

Achieving coordination between humans and artificial intelligence in scenarios involving previously unencountered humans remains a substantial obstacle within Zero-Shot Human-AI Coordination, which aims to develop AI agents capable of efficiently working alongside previously unknown human teammates.

Exploring and Verbalizing Academic Ideas by Concept Co-occurrence

1 code implementation4 Jun 2023 Yi Xu, Shuqian Sheng, Bo Xue, Luoyi Fu, Xinbing Wang, Chenghu Zhou

The results demonstrate that our system has broad prospects and can assist researchers in expediting the process of discovering new ideas.

Language Modelling Link Prediction

Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator

1 code implementation24 May 2023 Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin

Many researchers have focused on designing new forms of self-attention or introducing new parameters to overcome this limitation, however a large portion of them prohibits the model to inherit weights from large pretrained models.

Abstractive Text Summarization Document Summarization +2

Prediction with Incomplete Data under Agnostic Mask Distribution Shift

no code implementations18 May 2023 Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou

We focus on the case where the underlying joint distribution of complete features and label is invariant, but the missing pattern, i. e., mask distribution may shift agnostically between training and testing.

Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph

no code implementations14 Apr 2023 Cheng Deng, Jiaxin Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou

In this work, we propose Covidia, COVID-19 interdisciplinary academic knowledge graph to bridge the gap between knowledge of COVID-19 on different domains.

Classification Contrastive Learning +2

Asymmetric Polynomial Loss For Multi-Label Classification

1 code implementation10 Apr 2023 Yusheng Huang, Jiexing Qi, Xinbing Wang, Zhouhan Lin

We further employ the asymmetric focusing mechanism to decouple the gradient contribution from the negative and positive samples.

Image Classification Multi-Label Classification +3

FMGNN: Fused Manifold Graph Neural Network

no code implementations3 Apr 2023 Cheng Deng, Fan Xu, Jiaxing Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang

Graph representation learning has been widely studied and demonstrated effectiveness in various graph tasks.

Graph Representation Learning Link Prediction +1

PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model

2 code implementations2 Apr 2023 Cheng Deng, Bo Tong, Luoyi Fu, Jiaxin Ding, Dexing Cao, Xinbing Wang, Chenghu Zhou

In the research of end-to-end dialogue systems, using real-world knowledge to generate natural, fluent, and human-like utterances with correct answers is crucial.

Knowledge Graphs Language Modelling +1

Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset

1 code implementation19 Feb 2023 Jiexing Qi, Shuhao Li, Zhixin Guo, Yusheng Huang, Chenghu Zhou, Weinan Zhang, Xinbing Wang, Zhouhan Lin

In this work, we first collect a large-scale institution name normalization dataset LoT-insts1, which contains over 25k classes that exhibit a naturally long-tailed distribution.

Long-tail Learning Out-of-Distribution Generalization +3

Cooperative Open-ended Learning Framework for Zero-shot Coordination

1 code implementation9 Feb 2023 Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan

However, these approaches can result in a loss of learning and an inability to cooperate with certain strategies within the population, known as cooperative incompatibility.

Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing

1 code implementation3 Feb 2023 Yunchong Song, Chenghu Zhou, Xinbing Wang, Zhouhan Lin

This is achieved by aligning the hierarchy of the rooted-tree of a central node with the ordered neurons in its node representation.

Node Classification

Syntax-guided Localized Self-attention by Constituency Syntactic Distance

1 code implementation21 Oct 2022 Shengyuan Hou, Jushi Kai, Haotian Xue, Bingyu Zhu, Bo Yuan, Longtao Huang, Xinbing Wang, Zhouhan Lin

Recent works have revealed that Transformers are implicitly learning the syntactic information in its lower layers from data, albeit is highly dependent on the quality and scale of the training data.

Machine Translation Translation

KnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base Construction

no code implementations6 Oct 2022 Shao Zhang, Yuting Jia, Hui Xu, Dakuo Wang, Toby Jia-Jun Li, Ying Wen, Xinbing Wang, Chenghu Zhou

Constructing a comprehensive, accurate, and useful scientific knowledge base is crucial for human researchers synthesizing scientific knowledge and for enabling Al-driven scientific discovery.

INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion

no code implementations22 Sep 2022 Yi Xu, Luoyi Fu, Zhouhan Lin, Jiexing Qi, Xinbing Wang

As a fully unsupervised framework, INFINITY is empirically verified to outperform state-of-the-art baselines for G2T and T2G tasks.

Knowledge Graphs

Disentangled Graph Contrastive Learning for Review-based Recommendation

no code implementations4 Sep 2022 Yuyang Ren, Haonan Zhang, Qi Li, Luoyi Fu, Jiaxin Ding, Xinde Cao, Xinbing Wang, Chenghu Zhou

In review-based recommendation methods, review data is considered as auxiliary information that can improve the quality of learned user/item or interaction representations for the user rating prediction task.

Contrastive Learning Recommendation Systems

Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer

1 code implementation27 May 2022 Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang

To address this challenge, cross-city knowledge transfer has shown its promise, where the model learned from data-sufficient cities is leveraged to benefit the learning process of data-scarce cities.

Few-Shot Learning Graph Learning +2

Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation

1 code implementation27 May 2022 Bin Lu, Xiaoying Gan, Lina Yang, Weinan Zhang, Luoyi Fu, Xinbing Wang

Instead of replacing and retraining the fully connected neural network classifer, Geometer predicts the label of a node by finding the nearest class prototype.

Few-Shot Class-Incremental Learning Incremental Learning +2

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL

1 code implementation14 May 2022 Jiexing Qi, Jingyao Tang, Ziwei He, Xiangpeng Wan, Yu Cheng, Chenghu Zhou, Xinbing Wang, Quanshi Zhang, Zhouhan Lin

Our model can incorporate almost all types of existing relations in the literature, and in addition, we propose introducing co-reference relations for the multi-turn scenario.

Dialogue State Tracking Semantic Parsing +1

Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition

1 code implementation ACL 2022 Xichen Pan, Peiyu Chen, Yichen Gong, Helong Zhou, Xinbing Wang, Zhouhan Lin

In particular, audio and visual front-ends are trained on large-scale unimodal datasets, then we integrate components of both front-ends into a larger multimodal framework which learns to recognize parallel audio-visual data into characters through a combination of CTC and seq2seq decoding.

Audio-Visual Speech Recognition Automatic Speech Recognition (ASR) +6

DeepShovel: An Online Collaborative Platform for Data Extraction in Geoscience Literature with AI Assistance

no code implementations21 Feb 2022 Shao Zhang, Yuting Jia, Hui Xu, Ying Wen, Dakuo Wang, Xinbing Wang

Geoscientists, as well as researchers in many fields, need to read a huge amount of literature to locate, extract, and aggregate relevant results and data to enable future research or to build a scientific database, but there is no existing system to support this use case well.

Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud

1 code implementation Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2021 Dixi Yao, Liyao Xiang, Zifan Wang, Jiayu Xu, Chao Li, Xinbing Wang

Experimental results show that our system not only adapts well to, but also draws on the varying contexts, delivering a practical and efficient solution to edge-cloud model training.

Ranked #2 on Recommendation Systems on MovieLens 1M (Precision metric)

Feature Compression Image Classification +5

DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning

3 code implementations10 Nov 2021 Zhaoxing Yang, Rong Ding, Haiming Jin, Yifei Wei, Haoyi You, Guiyun Fan, Xiaoying Gan, Xinbing Wang

In addition, with such modularization, the training algorithm of DeCOM separates the original constrained optimization into an unconstrained optimization on reward and a constraints satisfaction problem on costs.

Multi-agent Reinforcement Learning reinforcement-learning +1

Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network

no code implementations5 Oct 2021 Yichen Zhu, Bo Jiang, Haiming Jin, Mengtian Zhang, Feng Gao, Jianqiang Huang, Tao Lin, Xinbing Wang

An important task in such applications is to predict the future values of a NETS based on its historical values and the underlying graph.

Management Time Series +1

Privacy Threats Analysis to Secure Federated Learning

no code implementations24 Jun 2021 Yuchen Li, Yifan Bao, Liyao Xiang, Junhan Liu, Cen Chen, Li Wang, Xinbing Wang

Federated learning is emerging as a machine learning technique that trains a model across multiple decentralized parties.

BIG-bench Machine Learning Federated Learning +1

Improved Matrix Gaussian Mechanism for Differential Privacy

no code implementations30 Apr 2021 Jungang Yang, Liyao Xiang, Weiting Li, Wei Liu, Xinbing Wang

The wide deployment of machine learning in recent years gives rise to a great demand for large-scale and high-dimensional data, for which the privacy raises serious concern.

Overlapping Community Detection in Temporal Text Networks

no code implementations13 Jan 2021 Shuhan Yan, Yuting Jia, Xinbing Wang

Analyzing the groups in the network based on same attributes, functions or connections between nodes is a way to understand network information.

Community Detection

Certified Distributional Robustness via Smoothed Classifiers

no code implementations1 Jan 2021 Jungang Yang, Liyao Xiang, Ruidong Chen, Yukun Wang, Wei Wang, Xinbing Wang

We focus on certified robustness of smoothed classifiers in this work, and propose to use the worst-case population loss over noisy inputs as a robustness metric.

Context-aware deep model compression for edge cloud computing

no code implementations International Conference on Distributed Computing Systems 2020 Lingdong Wang, Liyao Xiang, Jiayu Xu, Jiaju Chen, Xing Zhao, Dixi Yao, Xinbing Wang, Baochun Li

While deep neural networks (DNNs) have led to a paradigm shift, its exorbitant computational requirement has always been a roadblock in its deployment to the edge, such as wearable devices and smartphones.

Cloud Computing Image Classification +1

Certified Distributional Robustness on Smoothed Classifiers

no code implementations21 Oct 2020 Jungang Yang, Liyao Xiang, Ruidong Chen, Yukun Wang, Wei Wang, Xinbing Wang

For smoothed classifiers, we propose the worst-case adversarial loss over input distributions as a robustness certificate.

High-Order Relation Construction and Mining for Graph Matching

no code implementations9 Oct 2020 Hui Xu, Liyao Xiang, Youmin Le, Xiaoying Gan, Yuting Jia, Luoyi Fu, Xinbing Wang

Iterated line graphs are introduced for the first time to describe such high-order information, based on which we present a new graph matching method, called High-order Graph Matching Network (HGMN), to learn not only the local structural correspondence, but also the hyperedge relations across graphs.

Graph Matching Vocal Bursts Intensity Prediction

Spatio-Temporal Hierarchical Adaptive Dispatching for Ridesharing Systems

no code implementations4 Sep 2020 Chang Liu, Jiahui Sun, Haiming Jin, Meng Ai, Qun Li, Cheng Zhang, Kehua Sheng, Guobin Wu, XiaoHu Qie, Xinbing Wang

Thus, in this paper, we exploit adaptive dispatching intervals to boost the platform's profit under a guarantee of the maximum passenger waiting time.

On Geometric Structure of Activation Spaces in Neural Networks

no code implementations2 Apr 2019 Yuting Jia, Haiwen Wang, Shuo Shao, Huan Long, Yunsong Zhou, Xinbing Wang

Based on this new algorithm, four common geometric properties shared by the activation spaces are concluded, which gives a rather clear description of the activation spaces.

General Classification

CommunityGAN: Community Detection with Generative Adversarial Nets

1 code implementation20 Jan 2019 Yuting Jia, Qinqin Zhang, Wei-Nan Zhang, Xinbing Wang

In this paper, we propose CommunityGAN, a novel community detection framework that jointly solves overlapping community detection and graph representation learning.

Clustering Community Detection +1

AceKG: A Large-scale Knowledge Graph for Academic Data Mining

no code implementations23 Jul 2018 Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Wei-Nan Zhang, Xinbing Wang

Most existing knowledge graphs (KGs) in academic domains suffer from problems of insufficient multi-relational information, name ambiguity and improper data format for large-scale machine processing.

Community Detection Entity Alignment +3

Text Network Exploration via Heterogeneous Web of Topics

no code implementations2 Oct 2016 Junxian He, Ying Huang, Changfeng Liu, Jiaming Shen, Yuting Jia, Xinbing Wang

A text network refers to a data type that each vertex is associated with a text document and the relationship between documents is represented by edges.

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