87 citations · 208 across the 29 of their papers we have counts for
30 papers
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models
Rui Zhang, Yixin Su, Bayu Distiawan Trisedya +4
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. Many machine learning-bas…
TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs
Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya +3
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. Many machine learning-bas…
Findings on Conversation Disentanglement
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 con…
SkyCell: A Space-Pruning Based Parallel Skyline Algorithm
Chuanwen Li, Yu Gu, Jianzhong Qi +1
Skyline computation is an essential database operation that has many applications in multi-criteria decision making scenarios such as recommender systems. Existing algorithms have…
Sub-trajectory Similarity Join with Obfuscation
Yanchuan Chang, Jianzhong Qi, Egemen Tanin +2
User trajectory data is becoming increasingly accessible due to the prevalence of GPS-equipped devices such as smartphones. Many existing studies focus on querying trajectories tha…
Fast, Accurate and Interpretable Time Series Classification Through Randomization
Nestor Cabello, Elham Naghizade, Jianzhong Qi +1
Time series classification (TSC) aims to predict the class label of a given time series, which is critical to a rich set of application areas such as economics and medicine. State-…
Federated Learning with Fair Averaging
Zheng Wang, Xiaoliang Fan, Jianzhong Qi +3
Fairness has emerged as a critical problem in federated learning (FL). In this work, we identify a cause of unfairness in FL -- conflicting gradients with large differences in the…
WGCN: Graph Convolutional Networks with Weighted Structural Features
Yunxiang Zhao, Jianzhong Qi, Qingwei Liu +1
Graph structural information such as topologies or connectivities provides valuable guidance for graph convolutional networks (GCNs) to learn nodes' representations. Existing GCN m…
Evaluating Document Coherence Modelling
Aili Shen, Meladel Mistica, Bahar Salehi +3
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 clea…
A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning
Rui Zhang, Bayu Distiawan Trisedy, Miao Li +2
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. Entit…
A Lazy Approach for Efficient Index Learning
Guanli Liu, Lars Kulik, Xingjun Ma +1
Learned indices using neural networks have been shown to outperform traditional indices such as B-trees in both query time and memory. However, learning the distribution of a large…
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks
Yunxiang Zhao, Qiuhong Ke, Flip Korn +2
Hexagonal CNN models have shown superior performance in applications such as IACT data analysis and aerial scene classification due to their better rotation symmetry and reduced an…
Generalizable and Explainable Dialogue Generation via Explicit Action Learning
Xinting Huang, Jianzhong Qi, Yu Sun +1
Response generation for task-oriented dialogues implicitly optimizes two objectives at the same time: task completion and language quality. Conditioned response generation serves a…
Short-Term and Long-Term Context Aggregation Network for Video Inpainting
Ang Li, Shanshan Zhao, Xingjun Ma +5
Video inpainting aims to restore missing regions of a video and has many applications such as video editing and object removal. However, existing methods either suffer from inaccur…
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation
Xinting Huang, Jianzhong Qi, Yu Sun +1
Dialogue policy optimization often obtains feedback until task completion in task-oriented dialogue systems. This is insufficient for training intermediate dialogue turns since sup…
SANST: A Self-Attentive Network for Next Point-of-Interest Recommendation
Qianyu Guo, Jianzhong Qi
Next point-of-interest (POI) recommendation aims to offer suggestions on which POI to visit next, given a user's POI visit history. This problem has a wide application in the touri…
MALA: Cross-Domain Dialogue Generation with Action Learning
Xinting Huang, Jianzhong Qi, Yu Sun +1
Response generation for task-oriented dialogues involves two basic components: dialogue planning and surface realization. These two components, however, have a discrepancy in their…
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang +1
Long-term traffic prediction is highly challenging due to the complexity of traffic systems and the constantly changing nature of many impacting factors. In this paper, we focus on…
Boosted GAN with Semantically Interpretable Information for Image Inpainting
Ang Li, Jianzhong Qi, Rui Zhang +1
Image inpainting aims at restoring missing region of corrupted images, which has many applications such as image restoration and object removal. However, current GAN-based inpainti…
CARL: Aggregated Search with Context-Aware Module Embedding Learning
Xinting Huang, Jianzhong Qi, Yu Sun +2
Aggregated search aims to construct search result pages (SERPs) from blue-links and heterogeneous modules (such as news, images, and videos). Existing studies have largely ignored…
Generative Image Inpainting with Submanifold Alignment
Ang Li, Jianzhong Qi, Rui Zhang +2
Image inpainting aims at restoring missing regions of corrupted images, which has many applications such as image restoration and object removal. However, current GAN-based generat…
GeoPrune: Efficiently Finding Shareable Vehicles Based on Geometric Properties
Yixin Xu, Jianzhong Qi, Renata Borovica-Gajic +1
On-demand ride-sharing is rapidly growing.Matching trip requests to vehicles efficiently is critical for the service quality of ride-sharing. To match trip requests with vehicles,…
CBHE: Corner-based Building Height Estimation for Complex Street Scene Images
Yunxiang Zhao, Jianzhong Qi, Rui Zhang
Building height estimation is important in many applications such as 3D city reconstruction, urban planning, and navigation. Recently, a new building height estimation method using…
A Joint Model for Multimodal Document Quality Assessment
Aili Shen, Bahar Salehi, Timothy Baldwin +1
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 c…