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Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting


Jan 13, 2022
Ling Chen, Donghui Chen, Zongjiang Shang, Youdong Zhang, Bo Wen, Chenghu Yang


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Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation


Dec 19, 2021
Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel

* Accepted to WSDM 2022 

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Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting


Dec 14, 2021
Donghui Chen, Ling Chen, Zongjiang Shang, Youdong Zhang, Bo Wen, Chenghu Yang


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Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting


Nov 09, 2021
Ling Chen, Weiqi Chen, Binqing Wu, Youdong Zhang, Bo Wen, Chenghu Yang


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RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining


Nov 04, 2021
Ling Chen, Jun Cui, Xing Tang, Chaodu Song, Yuntao Qian, Yansheng Li, Yongjun Zhang

* 22 pages, 2 figures 

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TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor Aggregation


Oct 26, 2021
Ling Chen, Da Wang, Dandan Lyu, Xing Tang, Hongyu Shi


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Multi-Relation Aware Temporal Interaction Network Embedding


Oct 09, 2021
Ling Chen, Shanshan Yu, Dandan Lyu, Da Wang

* 18 pages, 4 figures 

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Generalization in Text-based Games via Hierarchical Reinforcement Learning


Sep 21, 2021
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang

* 41 pages, 11 figures, EMNLP2021 Findings 

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Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos


Sep 17, 2021
Ling Chen, Dandan Lyu, Shanshan Yu, Gencai Chen

* 17 pages, 4 figures 

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Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting


Aug 27, 2021
Ling Chen, Jiahui Xu, Binqing Wu, Yuntao Qian, Zhenhong Du, Yansheng Li, Yongjun Zhang


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SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition


Aug 17, 2021
Ling Chen, Yi Zhang, Sirou Zhu, Shenghuan Miao, Liangying Peng, Rong Hu, Mingqi Lv


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DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model


Apr 05, 2021
Ling Chen, Hongyu Shi


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Homophily Outlier Detection in Non-IID Categorical Data


Mar 21, 2021
Guansong Pang, Longbing Cao, Ling Chen

* To appear in Data Ming and Knowledge Discovery Journal 

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Unified Robust Training for Graph NeuralNetworks against Label Noise


Mar 05, 2021
Yayong Li, Jie yin, Ling Chen


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Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss


Mar 03, 2021
Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen

* 23 pages, 4 figures 

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HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method


Jan 12, 2021
Jiahui Xu, Ling Chen, Mingqi Lv, Chaoqun Zhan, Sanjian Chen, Jian Chang


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Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games


Oct 22, 2020
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang

* Accepted by NeurIPS2020 

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Smoothing Graphons for Modelling Exchangeable Relational Data


Feb 25, 2020
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson


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Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling


Feb 24, 2020
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson

* 7 pages, 3 figures 

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Relational State-Space Model for Stochastic Multi-Object Systems


Jan 13, 2020
Fan Yang, Ling Chen, Fan Zhou, Yusong Gao, Wei Cao

* Accepted by ICLR 2020 

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Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting


Nov 27, 2019
Weiqi Chen, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, Xiaojie Feng

* Accepted by AAAI 2020 

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Scalable Deep Generative Relational Models with High-Order Node Dependence


Nov 04, 2019
Xuhui Fan, Bin Li, Scott Anthony Sisson, Caoyuan Li, Ling Chen


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Semi-supervised Adversarial Active Learning on Attributed Graphs


Aug 22, 2019
Yayong Li, Jie Yin, Ling Chen


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Privacy-preserving Stochastic Gradual Learning


Sep 30, 2018
Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-fu Fung, Celina P. Yu


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Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection


Jun 13, 2018
Guansong Pang, Longbing Cao, Ling Chen, Huan Liu

* 10 pages, 4 figures, 3 tables. To appear in the proceedings of KDD18, Long presentation (oral) 

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Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning


Nov 03, 2016
Qiang Lyu, Yixin Chen, Zhaorong Li, Zhicheng Cui, Ling Chen, Xing Zhang, Haihua Shen

* 16 pages, 4 figures 

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On the Convergence of A Family of Robust Losses for Stochastic Gradient Descent


May 05, 2016
Bo Han, Ivor W. Tsang, Ling Chen


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