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2020 – today
- 2022
[j98]Peipei Wang, Lin Li, Qing Xie, Ru Wang, Guandong Xu:
Social dual-effect driven group modeling for neural group recommendation. Neurocomputing 481: 258-269 (2022)- [j97]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic intervention for causal inference via reinforcement learning. Neurocomputing 482: 40-49 (2022) - [j96]Wei Gao, Jian Wu, Guandong Xu:
Detecting Duplicate Questions in Stack Overflow via Source Code Modeling. Int. J. Softw. Eng. Knowl. Eng. 32(2): 227-255 (2022) - [j95]Omar Sharif, Md. Rafiqul Islam
, Md Zobaer Hasan, Muhammad Ashad Kabir, Md Emran Hasan, Salman A. AlQahtani, Guandong Xu:
Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19. J. Heal. Informatics Res. 6(1): 72-90 (2022) - [j94]Imran Razzak, Guandong Xu, Muhammad Khurram Khan:
Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures. IEEE Trans. Ind. Informatics 18(5): 3449-3451 (2022) - [j93]Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu:
V-SVR+: Support Vector Regression With Variational Privileged Information. IEEE Trans. Multim. 24: 876-889 (2022) - [j92]Wenhua Wang, Yuqun Zhang, Yulei Sui, Yao Wan, Zhou Zhao, Jian Wu, Philip S. Yu, Guandong Xu:
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention. IEEE Trans. Software Eng. 48(2): 102-119 (2022) - [j91]Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu:
API-GNN: attribute preserving oriented interactive graph neural network. World Wide Web 25(1): 239-258 (2022) - [j90]Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu:
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. World Wide Web 25(1): 281-304 (2022) - [j89]Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin:
Reinforced KGs reasoning for explainable sequential recommendation. World Wide Web 25(2): 631-654 (2022) - [c156]Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu:
An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. AI 2022: 3-14 - [c155]David Hason Rudd, Huan Huo, Guandong Xu:
Predicting Financial Literacy via Semi-supervised Learning. AI 2022: 304-319 - [c154]Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu:
Semantics-Guided Disentangled Learning for Recommendation. PAKDD (1) 2022: 249-261 - [c153]David Hason Rudd, Huan Huo, Guandong Xu:
Leveraged Mel Spectrograms Using Harmonic and Percussive Components in Speech Emotion Recognition. PAKDD (2) 2022: 392-404 - [c152]Yansong Shen, Lin Li, Qing Xie, Xin Li, Guandong Xu:
A Two-Tower Spatial-Temporal Graph Neural Network for Traffic Speed Prediction. PAKDD (1) 2022: 406-418 - [c151]Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao:
Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. WSDM 2022: 1337-1346 - [c150]Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu:
Dual Space Graph Contrastive Learning. WWW 2022: 1238-1247 - [c149]Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu:
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. WWW 2022: 1322-1330 - [c148]Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu:
Off-policy Learning over Heterogeneous Information for Recommendation. WWW 2022: 2348-2359 - [i42]Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu:
Dual Space Graph Contrastive Learning. CoRR abs/2201.07409 (2022) - [i41]Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin:
Cross-Language Binary-Source Code Matching with Intermediate Representations. CoRR abs/2201.07420 (2022) - [i40]Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu:
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. CoRR abs/2201.07986 (2022) - [i39]Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu:
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation. CoRR abs/2202.02576 (2022) - [i38]Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. CoRR abs/2202.06840 (2022) - [i37]Hongxu Chen, Sixiao Zhang, Guandong Xu:
Graph Masked Autoencoder. CoRR abs/2202.08391 (2022) - [i36]Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu:
DialMed: A Dataset for Dialogue-based Medication Recommendation. CoRR abs/2203.07094 (2022) - [i35]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Nguyen Quoc Viet Hung:
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. CoRR abs/2204.11091 (2022) - 2021
- [j88]Dongjing Wang, Dengwei Xu, Dongjin Yu, Guandong Xu:
Time-aware sequence model for next-item recommendation. Appl. Intell. 51(2): 906-920 (2021) - [j87]Pan Gu, Yuqiang Han, Wei Gao, Guandong Xu, Jian Wu:
Enhancing session-based social recommendation through item graph embedding and contextual friendship modeling. Neurocomputing 419: 190-202 (2021) - [j86]Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging multi-level dependency of relational sequences for social spammer detection. Neurocomputing 428: 130-141 (2021) - [j85]Nhi N. Y. Vo, Shaowu Liu, Xitong Li, Guandong Xu:
Leveraging unstructured call log data for customer churn prediction. Knowl. Based Syst. 212: 106586 (2021) - [j84]Min Gu, Yanhui Gu, Weilan Luo, Guandong Xu, Zhenglu Yang, Junsheng Zhou, Weiguang Qu:
From text to graph: a general transition-based AMR parsing using neural network. Neural Comput. Appl. 33(11): 6009-6025 (2021) - [j83]Zongxi Li, Haoran Xie, Guandong Xu, Qing Li, Mingming Leng, Chi Zhou:
Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information. Pattern Recognit. 113: 107824 (2021) - [j82]Peipei Wang, Lin Li, Ru Wang, Guandong Xu, Jianwei Zhang:
Socially-driven multi-interaction attentive group representation learning for group recommendation. Pattern Recognit. Lett. 145: 74-80 (2021) - [j81]Jun Jason Zhang, Fei-Yue Wang, Yong Yuan, Guandong Xu, Huan Liu, Wei Gao, Shoaib Jameel, Imran Razzak, Peter W. Eklund, Sheraz Ahmed, Rui Qin, Juanjuan Li, Xiao Wang, De-Nian Yang, Damla Turgut, Abderrahim Benslimane, Neeli Prasad, Kwang-Cheng Chen:
Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. IEEE Trans. Comput. Soc. Syst. 8(4): 928-929 (2021) - [j80]Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen:
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. IEEE Trans. Comput. Soc. Syst. 8(4): 982-991 (2021) - [j79]Dongjing Wang, Xin Zhang, Dongjin Yu, Guandong Xu, Shuiguang Deng:
CAME: Content- and Context-Aware Music Embedding for Recommendation. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1375-1388 (2021) - [j78]Wei Hua, Yulei Sui, Yao Wan, Guangzhong Liu, Guandong Xu:
FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks. IEEE Trans. Reliab. 70(1): 304-318 (2021) - [j77]Zongda Wu, Guiling Li, Shigen Shen, Xinze Lian, Enhong Chen, Guandong Xu:
Constructing dummy query sequences to protect location privacy and query privacy in location-based services. World Wide Web 24(1): 25-49 (2021) - [j76]Xiaoxue Li, Yanan Cao, Qian Li, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu:
RLINK: Deep reinforcement learning for user identity linkage. World Wide Web 24(1): 85-103 (2021) - [j75]Yuqiang Han, Pan Gu, Wei Gao, Guandong Xu, Jian Wu:
Aspect-level sentiment capsule network for micro-video click-through rate prediction. World Wide Web 24(4): 1045-1064 (2021) - [j74]Yijie Zhou, Xuewen Shen, Suiyu Zhang, Dingguo Yu, Guandong Xu:
DFIAM: deep factorization integrated attention mechanism for smart TV recommendation. World Wide Web 24(5): 1465-1481 (2021) - [j73]Dongjing Wang, Xingliang Wang, Zhengzhe Xiang, Dongjin Yu, Shuiguang Deng, Guandong Xu:
Attentive sequential model based on graph neural network for next poi recommendation. World Wide Web 24(6): 2161-2184 (2021) - [c147]Md. Rafiqul Islam, Jiaming Zhang, Md. Hamjajul Ashmafee, Imran Razzak, Jianlong Zhou, Xianzhi Wang, Guandong Xu:
ExVis: Explainable Visual Decision Support System for Risk Management. BESC 2021: 1-5 - [c146]Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. CIKM 2021: 690-699 - [c145]Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. CIKM 2021: 988-997 - [c144]Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu:
Causal-Aware Generative Imputation for Automated Underwriting. CIKM 2021: 3916-3924 - [c143]Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu:
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CIKM 2021: 4721-4724 - [c142]Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu:
Hilbert Sinkhorn Divergence for Optimal Transport. CVPR 2021: 3835-3844 - [c141]Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu:
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. ICDM 2021: 787-796 - [c140]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Effect Estimation. IJCNN 2021: 1-8 - [c139]Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu:
UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. IJCNN 2021: 1-8 - [c138]Joshua Zerafa, Md. Rafiqul Islam, Muhammad Ashad Kabir, Guandong Xu:
ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System. IV 2021: 48-53 - [c137]Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:
Where are we in embedding spaces? KDD 2021: 2223-2231 - [c136]Yu Chu, Lin Li, Qing Xie, Guandong Xu:
C2-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction. PAKDD (1) 2021: 779-790 - [c135]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. SIGIR 2021: 133-142 - [c134]Yao Wu, Jian Cao, Guandong Xu, Yudong Tan:
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. SIGIR 2021: 1013-1022 - [c133]Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li, Guandong Xu:
HACK: A Hierarchical Model for Fake News Detection. WISE (1) 2021: 565-572 - [c132]Xiaoqi Lv, Ke Ji, Zhenxiang Chen, Kun Ma, Jun Wu, Yidong Li, Guandong Xu:
Expert Recommendations with Temporal Dynamics of User Interest in CQA. WISE (1) 2021: 645-652 - [c131]Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin:
Temporal Meta-path Guided Explainable Recommendation. WSDM 2021: 1056-1064 - [i34]Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin:
Temporal Meta-path Guided Explainable Recommendation. CoRR abs/2101.01433 (2021) - [i33]Hongru Liang, Haozheng Wang, Qian Li, Jun Wang, Guandong Xu, Jiawei Chen, Jin-Mao Wei, Zhenglu Yang:
A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics. CoRR abs/2103.12615 (2021) - [i32]Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu:
Hyperbolic Neural Collaborative Recommender. CoRR abs/2104.07414 (2021) - [i31]Yao Wu, Jian Cao, Guandong Xu, Yudong Tan:
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. CoRR abs/2104.09024 (2021) - [i30]Tri Dung Duong, Qian Li, Guandong Xu:
Prototype-based Counterfactual Explanation for Causal Classification. CoRR abs/2105.00703 (2021) - [i29]Qian Li, Xiangmeng Wang, Guandong Xu:
Be Causal: De-biasing Social Network Confounding in Recommendation. CoRR abs/2105.07775 (2021) - [i28]Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems. CoRR abs/2105.08908 (2021) - [i27]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media. CoRR abs/2105.10878 (2021) - [i26]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Effect Estimation. CoRR abs/2105.12898 (2021) - [i25]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Inference via Reinforcement Learning. CoRR abs/2105.13514 (2021) - [i24]Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. CoRR abs/2108.08134 (2021) - [i23]Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu:
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CoRR abs/2109.02094 (2021) - [i22]Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. CoRR abs/2109.02398 (2021) - [i21]Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu:
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. CoRR abs/2109.02859 (2021) - [i20]Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu:
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation. CoRR abs/2111.12262 (2021) - [i19]Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Deep Treatment-Adaptive Network for Causal Inference. CoRR abs/2112.13502 (2021) - 2020
- [j72]Imran Razzak, Khurram Zafar, Muhammad Imran, Guandong Xu:
Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data. Future Gener. Comput. Syst. 112: 715-723 (2020) - [j71]Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu:
Learning with privileged information for photo aesthetic assessment. Neurocomputing 404: 304-316 (2020) - [j70]Amina Naseer, Monail Rani, Saeeda Naz, Muhammad Imran Razzak, Muhammad Imran, Guandong Xu:
Refining Parkinson's neurological disorder identification through deep transfer learning. Neural Comput. Appl. 32(3): 839-854 (2020) - [j69]Muhammad Imran Razzak, Muhammad Imran, Guandong Xu:
Big data analytics for preventive medicine. Neural Comput. Appl. 32(9): 4417-4451 (2020) - [j68]Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu:
Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection. Neural Networks 121: 441-451 (2020) - [j67]Md. Rafiqul Islam, Shaowu Liu, Xianzhi Wang, Guandong Xu:
Deep learning for misinformation detection on online social networks: a survey and new perspectives. Soc. Netw. Anal. Min. 10(1): 82 (2020) - [j66]Zongda Wu, Ruiqin Wang, Qi Li, Xinze Lian, Guandong Xu, Enhong Chen, Xiyang Liu:
A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services. IEEE Trans. Veh. Technol. 69(5): 5244-5254 (2020) - [j65]Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu:
Generative temporal link prediction via self-tokenized sequence modeling. World Wide Web 23(4): 2471-2488 (2020) - [c130]Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu:
MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. BESC 2020: 1-4 - [c129]Dhruv Aditya Mittal, Shaowu Liu, Guandong Xu:
Electricity Price Forecasting using Convolution and LSTM Models. BESC 2020: 1-4 - [c128]Yangyang Shu, Yulei Sui, Hongyu Zhang, Guandong Xu:
Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning. ESEM 2020: 16:1-16:11 - [c127]Yao Wu, Jian Cao, Guandong Xu:
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint. ICSOC 2020: 287-303 - [c126]Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu:
Joint Relational Dependency Learning for Sequential Recommendation. PAKDD (1) 2020: 168-180 - [c125]Rhys Biddle, Aditya Joshi, Shaowu Liu, Cécile Paris, Guandong Xu:
Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter. WWW 2020: 1217-1227 - [i18]Wenhua Wang, Yuqun Zhang, Zhengran Zeng, Guandong Xu:
TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search. CoRR abs/2003.03238 (2020) - [i17]Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang:
Causality Learning: A New Perspective for Interpretable Machine Learning. CoRR abs/2006.16789 (2020) - [i16]Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen:
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. CoRR abs/2007.02325 (2020) - [i15]Hamad Zogan, Xianzhi Wang, Shoaib Jameel, Guandong Xu:
Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media. CoRR abs/2007.02847 (2020) - [i14]Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection. CoRR abs/2009.06231 (2020) - [i13]Yao Wu, Jian Cao, Guandong Xu:
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint. CoRR abs/2012.02292 (2020) - [i12]Yao Wan, Yang He, Jianguo Zhang, Yulei Sui, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu:
NaturalCC: A Toolkit to Naturalize the Source Code Corpus. CoRR abs/2012.03225 (2020)
2010 – 2019
- 2019
- [j64]Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu:
Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes]. IEEE Comput. Intell. Mag. 14(3): 29-38 (2019) - [j63]Nhi N. Y. Vo, Xuezhong He, Shaowu Liu, Guandong Xu:
Deep learning for decision making and the optimization of socially responsible investments and portfolio. Decis. Support Syst. 124 (2019) - [j62]Zafar Saeed, Rabeeh Ayaz Abbasi, Imran Razzak, Onaiza Maqbool, Abida Sadaf, Guandong Xu:
Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks. Expert Syst. Appl. 136: 115-132 (2019) - [j61]Zafar Saeed, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Radi Aljohani, Guandong Xu:
What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter. J. Grid Comput. 17(2): 279-312 (2019) - [j60]Dingguo Yu, Bin Fu, Guandong Xu, Aihong Qin:
Constrained nonnegative matrix factorization-based semi-supervised multilabel learning. Int. J. Mach. Learn. Cybern. 10(5): 1093-1100 (2019) - [j59]Xiaofeng Cao, Baozhi Qiu, Guandong Xu:
BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data. Pattern Anal. Appl. 22(3): 1015-1027 (2019) - [j58]Muhammad Imran Razzak, Muhammad Imran, Guandong Xu:
Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks. IEEE J. Biomed. Health Informatics 23(5): 1911-1919 (2019) - [j57]Xiaofeng Cao, Baozhi Qiu, Xiangli Li, Zenglin Shi, Guandong Xu, Jianliang Xu:
Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1867-1880 (2019) - [j56]Tingting Liang, Liang Chen, Jian Wu, Guandong Xu, Zhaohui Wu:
SMS: A Framework for Service Discovery by Incorporating Social Media Information. IEEE Trans. Serv. Comput. 12(3): 384-397 (2019) - [j55]Haochao Ying, Jian Wu, Guandong Xu, Yanchi Liu, Tingting Liang, Xiao Zhang, Hui Xiong:
Time-aware metric embedding with asymmetric projection for successive POI recommendation. World Wide Web 22(5): 2209-2224 (2019) - [j54]Hongru Liang, Haozheng Wang, Qian Li, Jun Wang, Guandong Xu, Jiawei Chen, Jin-Mao Wei, Zhenglu Yang:
A general framework for learning prosodic-enhanced representation of rap lyrics. World Wide Web 22(6): 2267-2289 (2019) - [c124]Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang:
On Completing Sparse Knowledge Base with Transitive Relation Embedding. AAAI 2019: 3125-3132 - [c123]Jun Yin, Shaowu Liu, Qian Li, Guandong Xu:
Prediction and Analysis of Rumour's Impact on Social Media. BESC 2019: 1-6 - [c122]Ming Zhao, Yangyang Shu, Shaowu Liu, Guandong Xu:
Electricity Price Forecast using Meteorology data: A study in Australian Energy Market. BESC 2019: 1-2 - [c121]Zhichao Wang, Qian Li, Gang Li, Guandong Xu:
Polynomial Representation for Persistence Diagram. CVPR 2019: 6123-6132 - [c120]Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu:
A Boundary-aware Neural Model for Nested Named Entity Recognition. EMNLP/IJCNLP (1) 2019: 357-366 - [c119]Yao Wan,