Search Results for author: Jianzhong Qi

Found 47 papers, 16 papers with code

Grouped-Attention for Content-Selection and Content-Plan Generation

no code implementations Findings (EMNLP) 2021 Bayu Distiawan Trisedya, Xiaojie Wang, Jianzhong Qi, Rui Zhang, Qingjun Cui

A key component of the GSC-attention is grouped-attention, which is token-level attention constrained within each input attribute that enables our proposed model captures both local and global context.

Attribute Data-to-Text Generation

Spatial-temporal Forecasting for Regions without Observations

1 code implementation19 Jan 2024 Xinyu Su, Jianzhong Qi, Egemen Tanin, Yanchuan Chang, Majid Sarvi

Our key insight is to learn from the locations that resemble those in the region of interest, and we propose a selective masking strategy to enable the learning.

Contrastive Learning

Urban Region Representation Learning with Attentive Fusion

1 code implementation7 Dec 2023 Fengze Sun, Jianzhong Qi, Yanchuan Chang, Xiaoliang Fan, Shanika Karunasekera, Egemen Tanin

Our model is powered by a dual-feature attentive fusion module named DAFusion, which fuses embeddings from different region features to learn higher-order correlations between the regions as well as between the different types of region features.

Representation Learning

Fake News Detection Through Graph-based Neural Networks: A Survey

no code implementations24 Jul 2023 Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi, Cecile Paris

In recent years, graph-based methods have yielded strong results, as they can closely model the social context and propagation process of online news.

Fake News Detection Misinformation

AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models

1 code implementation18 Jul 2023 Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi

In this paper, we propose the first fully automatic alignment method named AutoAlign, which does not require any manually crafted seed alignments.

Entity Alignment Entity Embeddings +1

Fake News Detection Through Temporally Evolving User Interactions

1 code implementation PAKDD: Advances in Knowledge Discovery and Data Mining 2023 Shuzhi Gong, Richard Sinnott, Jianzhong Qi, Cecile Paris

We join this model with a neural Hawkes process model to exploit the distinctive self-exciting patterns of true news and fake news on social media.

Fake News Detection

Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization

1 code implementation26 May 2023 Rongxin Zhu, Jianzhong Qi, Jey Han Lau

A series of datasets and models have been proposed for summaries generated for well-formatted documents such as news articles.

Decoder Multi-Label Classification +1

Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization

1 code implementation12 Mar 2023 Miao Li, Jianzhong Qi, Jey Han Lau

We propose HGSUM, an MDS model that extends an encoder-decoder architecture, to incorporate a heterogeneous graph to represent different semantic units (e. g., words and sentences) of the documents.

Decoder Document Summarization +2

CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network

no code implementations10 Mar 2023 Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu

However, recent studies on hypergraph learning that extend graph convolutional networks to hypergraphs cannot learn effectively from features of unlabeled data.

Contrastive Learning Node Classification

WISK: A Workload-aware Learned Index for Spatial Keyword Queries

no code implementations28 Feb 2023 Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang

In this paper, we propose WISK, a learned index for spatial keyword queries, which self-adapts for optimizing querying costs given a query workload.

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

2 code implementations6 Feb 2023 Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen, Longbiao Chen

It aims to infer knowledge for (the things at) unobserved locations using the data from (the things at) observed locations during a given time period of interest.

Graph Representation Learning Relation

FedGS: Federated Graph-based Sampling with Arbitrary Client Availability

1 code implementation25 Nov 2022 Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Haibing Jin, Peizhen Yang, Siqi Shen, Cheng Wang

Second, constrained by the far-distance in data distribution of the sampled clients, we further minimize the variance of the numbers of times that the clients are sampled, to mitigate long-term bias.

Federated Learning

TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs

no code implementations16 Oct 2022 Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya, Min Yang, Hong Cheng, Jianzhong Qi

The task of entity alignment between knowledge graphs (KGs) aims to identify every pair of entities from two different KGs that represent the same entity.

Entity Alignment Entity Embeddings +1

Contrastive Trajectory Similarity Learning with Dual-Feature Attention

1 code implementation11 Oct 2022 Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin

Trajectory similarity measures act as query predicates in trajectory databases, making them the key player in determining the query results.

Contrastive Learning Trajectory Modeling

A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction

1 code implementation30 May 2022 Jianzhong Qi, Zhuowei Zhao, Egemen Tanin, Tingru Cui, Neema Nassir, Majid Sarvi

To model the temporal factors, we use a multi-path convolutional neural network (CNN) to learn the joint impact of different combinations of past traffic conditions on the future traffic conditions.

Traffic Prediction

Findings on Conversation Disentanglement

no code implementations ALTA 2021 Rongxin Zhu, Jey Han Lau, Jianzhong Qi

Conversation disentanglement, the task to identify separate threads in conversations, is an important pre-processing step in multi-party conversational NLP applications such as conversational question answering and conversation summarization.

Conversational Question Answering Conversation Disentanglement +2

Fast, Accurate and Interpretable Time Series Classification Through Randomization

1 code implementation31 May 2021 Nestor Cabello, Elham Naghizade, Jianzhong Qi, Lars Kulik

r-STSF is highly efficient, achieves state-of-the-art classification accuracy and enables interpretability.

Classification Time Series +2

WGCN: Graph Convolutional Networks with Weighted Structural Features

2 code implementations29 Apr 2021 Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, Rui Zhang

Based on nodes' geometrical relationships in the latent space, WGCN differentiates latent, in-, and out-neighbors with an attention-based geometrical aggregation.

Node Classification

A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning

1 code implementation The VLDB Journal 2022 Rui Zhang, Bayu Distiawan Trisedy, Miao Li, Yong Jiang, Jianzhong Qi

In the last few years, the interest in knowledge bases has grown exponentially in both the research community and the industry due to their essential role in AI applications.

Attribute Entity Alignment +1

Evaluating Document Coherence Modelling

no code implementations18 Mar 2021 Aili Shen, Meladel Mistica, Bahar Salehi, Hang Li, Timothy Baldwin, Jianzhong Qi

While pretrained language models ("LM") have driven impressive gains over morpho-syntactic and semantic tasks, their ability to model discourse and pragmatic phenomena is less clear.

Intrusion Detection Sentence

HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks

no code implementations25 Jan 2021 Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang

Experimental results show that compared with the state-of-the-art models, which imitate hexagonal processing but using rectangle-shaped filters, HexCNN reduces the training time by up to 42. 2%.

Aerial Scene Classification Scene Classification

Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation

no code implementations ACL 2020 Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang

This approach requires complete state-action annotations of human-to-human dialogues (i. e., expert demonstrations), which is labor intensive.

Task-Oriented Dialogue Systems

SANST: A Self-Attentive Network for Next Point-of-Interest Recommendation

no code implementations22 Jan 2020 Qianyu Guo, Jianzhong Qi

To address this limitation, in this paper, we propose a model named SANST that incorporates spatio-temporal patterns of user check-ins into self-attentive networks.

Sequential Recommendation

MALA: Cross-Domain Dialogue Generation with Action Learning

no code implementations18 Dec 2019 Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang

These two components, however, have a discrepancy in their objectives, i. e., task completion and language quality.

Dialogue Generation Response Generation +2

GMAN: A Graph Multi-Attention Network for Traffic Prediction

6 code implementations11 Nov 2019 Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi

Between the encoder and the decoder, a transform attention layer is applied to convert the encoded traffic features to generate the sequence representations of future time steps as the input of the decoder.

Decoder Image Dehazing +1

Modelling Uncertainty in Collaborative Document Quality Assessment

no code implementations WS 2019 Aili Shen, Daniel Beck, Bahar Salehi, Jianzhong Qi, Timothy Baldwin

In the context of document quality assessment, previous work has mainly focused on predicting the quality of a document relative to a putative gold standard, without paying attention to the subjectivity of this task.

Decision Making Gaussian Processes

Boosted GAN with Semantically Interpretable Information for Image Inpainting

no code implementations13 Aug 2019 Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri

Forexample, given a male image with image region of one eye missing, current models may restore it with a female eye.

Attribute Image Inpainting +2

CARL: Aggregated Search with Context-Aware Module Embedding Learning

no code implementations3 Aug 2019 Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng

To model and utilize the context information for aggregated search, we propose a model with context attention and representation learning (CARL).

Representation Learning

Generative Image Inpainting with Submanifold Alignment

no code implementations1 Aug 2019 Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao

Image inpainting aims at restoring missing regions of corrupted images, which has many applications such as image restoration and object removal.

Image Inpainting Image Restoration

Neural Relation Extraction for Knowledge Base Enrichment

no code implementations ACL 2019 Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang

This way, NED errors may cause extraction errors that affect the overall precision and recall. To address this problem, we propose an end-to-end relation extraction model for KB enrichment based on a neural encoder-decoder model.

Decoder Entity Disambiguation +4

Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random

no code implementations1 Jun 2019 Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi

In recommender systems, usually the ratings of a user to most items are missing and a critical problem is that the missing ratings are often missing not at random (MNAR) in reality.

Imputation Recommendation Systems

CBHE: Corner-based Building Height Estimation for Complex Street Scene Images

no code implementations25 Apr 2019 Yunxiang Zhao, Jianzhong Qi, Rui Zhang

CBHE first obtains building corner and roofline candidates in street scene images based on building footprints from 2D maps and the camera parameters.


A Joint Model for Multimodal Document Quality Assessment

no code implementations4 Jan 2019 Aili Shen, Bahar Salehi, Timothy Baldwin, Jianzhong Qi

The quality of a document is affected by various factors, including grammaticality, readability, stylistics, and expertise depth, making the task of document quality assessment a complex one.

KDGAN: Knowledge Distillation with Generative Adversarial Networks

no code implementations NeurIPS 2018 Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi

An alternative method is to adversarially train the classifier against a discriminator in a two-player game akin to generative adversarial networks (GAN), which can ensure the classifier to learn the true data distribution at the equilibrium of this game.

Knowledge Distillation Multi-Label Learning

Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data

no code implementations7 Nov 2018 Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, Christopher Leckie

Subspace clustering aims to find groups of similar objects (clusters) that exist in lower dimensional subspaces from a high dimensional dataset.


PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages

no code implementations EMNLP 2018 Yiqing Zhang, Jianzhong Qi, Rui Zhang, Chu Yin, ong

Publication information in a researcher{'}s academic homepage provides insights about the researcher{'}s expertise, research interests, and collaboration networks.

A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations

no code implementations24 Aug 2018 Jiayuan He, Jianzhong Qi, Kotagiri Ramamohanarao

We propose two trip recommendation algorithms based on our context-aware POI embedding.

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