Search Results for author: Xiao-Li Li

Found 25 papers, 3 papers with code

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

2 code implementations9 Jun 2021 Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu

In GCE-GNN, we propose a novel global-level item representation learning layer, which employs a session-aware attention mechanism to recursively incorporate the neighbors' embeddings of each node on the global graph.

Representation Learning Session-Based Recommendations

Exploiting Group-level Behavior Pattern forSession-based Recommendation

no code implementations10 Dec 2020 Ziyang Wang, Wei Wei, Xian-Ling Mao, Xiao-Li Li, Shanshan Feng

In RNMSR, we propose to learn the user preference from both instance-level and group-level, respectively: (i) instance-level, which employs GNNs on a similarity-based item-pairwise session graph to capture the users' preference in instance-level.

Representation Learning Session-Based Recommendations

Exploring Global Information for Session-based Recommendation

no code implementations20 Nov 2020 Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, Shanshan Feng

Based on BGNN, we propose a novel approach, called Session-based Recommendation with Global Information (SRGI), which infers the user preferences via fully exploring global item-transitions over all sessions from two different perspectives: (i) Fusion-based Model (SRGI-FM), which recursively incorporates the neighbor embeddings of each node on global graph into the learning process of session level item representation; and (ii) Constrained-based Model (SRGI-CM), which treats the global-level item-transition information as a constraint to ensure the learned item embeddings are consistent with the global item-transition.

Session-Based Recommendations

Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction

no code implementations20 Jul 2020 Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiao-Li Li

Accurate estimation of remaining useful life (RUL) of industrial equipment can enable advanced maintenance schedules, increase equipment availability and reduce operational costs.


Recent Advances in Network-based Methods for Disease Gene Prediction

1 code implementation19 Jul 2020 Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiao-Li Li

Thirdly, an empirical analysis is conducted to evaluate the performance of the selected methods across seven diseases.

Graph Representation Learning

Efficient Constituency Parsing by Pointing

no code implementations ACL 2020 Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty, Xiao-Li Li

We propose a novel constituency parsing model that casts the parsing problem into a series of pointing tasks.

Constituency Parsing

Multi-View Collaborative Network Embedding

3 code implementations17 May 2020 Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiao-Li Li

Real-world networks often exist with multiple views, where each view describes one type of interaction among a common set of nodes.

Network Embedding

StereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on Direct Sparse Method

no code implementations6 Mar 2020 Taiping Zeng, Xiao-Li Li, Bailu Si

We propose a neurobiologically inspired visual simultaneous localization and mapping (SLAM) system based on direction sparse method to real-time build cognitive maps of large-scale environments from a moving stereo camera.

Hippocampus Simultaneous Localization and Mapping

Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

no code implementations IJCNLP 2019 Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji, Xiao-Li Li

Then, we propose Heterogeneous Graph ATtention networks (HGAT) to embed the HIN for short text classification based on a dual-level attention mechanism, including node-level and type-level attentions.

General Classification Graph Attention +3

SL$^2$MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization

no code implementations20 Oct 2018 Yong Liu, Min Wu, Chenghao Liu, Xiao-Li Li, Jie Zheng

Moreover, we also incorporate biological knowledge about genes from protein-protein interaction (PPI) data and Gene Ontology (GO).

Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition

no code implementations1 May 2018 Bo Zhang, Wei Li, Jie Hao, Xiao-Li Li, Meng Zhang

The layers between the source and target feature extractor are partially untied during the training stage to take both training efficiency and domain adaptation into consideration.

Domain Adaptation

Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation

no code implementations12 Apr 2018 Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiao-Li Li

Our proposed approach hinges upon the key intuition that the decision making process (in groups) is generally dynamic, i. e., a user's decision is highly dependent on the other group members.

Decision Making

Pruning Convolutional Neural Networks for Image Instance Retrieval

no code implementations18 Jul 2017 Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Ling-Yu Duan, Sateesh Giduthuri, Xiao-Li Li, Tomaso Poggio

In this work, we focus on the problem of image instance retrieval with deep descriptors extracted from pruned Convolutional Neural Networks (CNN).

Image Instance Retrieval Retrieval

Incremental Minimax Optimization based Fuzzy Clustering for Large Multi-view Data

no code implementations25 Aug 2016 Yangtao Wang, Lihui Chen, Xiao-Li Li

The detailed problem formulation, updating rules derivation, and the in-depth analysis of the proposed IminimaxFCM are provided.


Keyphrase Extraction using Sequential Labeling

no code implementations1 Aug 2016 Sujatha Das Gollapalli, Xiao-Li Li

Keyphrases efficiently summarize a document's content and are used in various document processing and retrieval tasks.

Keyphrase Extraction POS +1

Learning Social Circles in Ego Networks based on Multi-View Social Graphs

no code implementations16 Jul 2016 Chao Lan, Yuhao Yang, Xiao-Li Li, Bo Luo, Jun Huan

Based on extensive automatic and manual experimental evaluations, we deliver two major findings: first, multi-view clustering techniques perform better than common single-view clustering techniques, which only use one view or naively integrate all views for detection, second, the standard multi-view clustering technique is less robust than our modified technique, which selectively transfers information across views based on an assumption that sparse network structures are (potentially) incomplete.


Classification and its applications for drug-target interaction identification

no code implementations16 Feb 2015 Jian-Ping Mei, Chee-Keong Kwoh, Peng Yang, Xiao-Li Li

Classification is one of the most popular and widely used supervised learning tasks, which categorizes objects into predefined classes based on known knowledge.

Classification Clustering +2

Microbial community pattern detection in human body habitats via ensemble clustering framework

no code implementations21 Dec 2014 Peng Yang, Xiaoquan Su, Le Ou-Yang, Hon-Nian Chua, Xiao-Li Li, Kang Ning

To obtain a comprehensive view, we propose a novel ensemble clustering framework to mine the structure of microbial community pattern on large-scale metagenomic data.


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