Weitong Chen

According to our database, Weitong Chen authored at least 61 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

MSN: Mapless Short-Range Navigation Based on Time Critical Deep Reinforcement Learning.

Bohan Li, Zhelong Huang, Tony Weitong Chen, Tianlun Dai, Yalei Zang, Wenbin Xie, Bo Tian, Ken Cai

IEEE Trans. Intell. Transp. Syst., August, 2023

Pre-training in Medical Data: A Survey.

Yixuan Qiu, Feng Lin, Weitong Chen, Miao Xu

Mach. Intell. Res., April, 2023

T-PORP: A Trusted Parallel Route Planning Model on Dynamic Road Networks.

Bohan Li, Tianlun Dai, Weitong Chen, Xinyang Song, Yalei Zang, Zhelong Huang, Qinyong Lin, Ken Cai

IEEE Trans. Intell. Transp. Syst., January, 2023

Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities.

Xue Li, Catherine Zou, Robert Boots, Sen Wang, Weitong Chen, Guido Zuccon

World Sci. Annu. Rev. Artif. Intell., 2023

A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access.

Yixuan Qiu, Weitong Chen, Miao Xu

Proceedings of the IEEE International Conference on Data Mining, 2023

Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies.

Lipin Guo, Wei Emma Zhang, Weitong Chen, Ni Yang, Queen Nguyen, Trung Duc Vo

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction.

Di Zhu, Yi Liu, Weitong Chen, Yanda Wang, Yefan Huang, Xiaoli Wang, Ken Cai, Bohan Li

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Towards Better Generalization for Neural Network-Based SAT Solvers.

Chenhao Zhang, Yanjun Zhang, Jeff Mao, Weitong Chen, Lin Yue, Guangdong Bai, Miao Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network.

Yalei Zang, Yi Liu, Weitong Chen, Bohan Li, Aoran Li, Lin Yue, Weihua Ma

Proceedings of the Database Systems for Advanced Applications, 2022

Improving Traffic Load Prediction with Multi-modality - A Case Study of Brisbane.

Khai Phan Tran, Weitong Chen, Miao Xu

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

What Leads to Arrhythmia: Active Causal Representation Learning of ECG Classification.

Shaofei Shen, Weitong Chen, Miao Xu

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

Investigating Active Positive-Unlabeled Learning with Deep Networks.

Kun Han, Weitong Chen, Miao Xu

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Improving Motor Imagery Intention Recognition via Local Relation Networks.

Lin Yue, Yuxuan Zhang, Xiaowei Zhao, Zhe Zhang, Weitong Chen

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Death Comes But Why: An Interpretable Illness Severity Predictions in ICU.

Shaofei Shen, Miao Xu, Lin Yue, Robert Boots, Weitong Chen

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning.

Lin Yue, Hao Shen, Sen Wang, Robert Boots, Guodong Long, Weitong Chen, Xiaowei Zhao

ACM Trans. Knowl. Discov. Data, 2021

Blockchain-Based Trust Management Model for Location Privacy Preserving in VANET.

Bohan Li, Ruochen Liang, Di Zhu, Weitong Chen, Qinyong Lin

IEEE Trans. Intell. Transp. Syst., 2021

Adversarially regularized medication recommendation model with multi-hop memory network.

Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue

Knowl. Inf. Syst., 2021

Efficient search over incomplete knowledge graphs in binarized embedding space.

Meng Wang, Weitong Chen, Sen Wang, Yinlin Jiang, Lina Yao, Guilin Qi

Future Gener. Comput. Syst., 2021

Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks.

Yuxin Zhang, Bohan Li, Han Gao, Ye Ji, Han Yang, Meng Wang, Weitong Chen

Big Data Res., 2021

CSIP: Enhanced Link Prediction with Context of Social Influence Propagation.

Han Gao, Bohan Li, Wenbin Xie, Yuxin Zhang, Donghai Guan, Weitong Chen, Ken Cai

Big Data Res., 2021

Self-Supervised Adversarial Distribution Regularization for Medication Recommendation.

Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Sen Wang, Miao Xu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Positive-Unlabeled Learning from Imbalanced Data.

Guangxin Su, Weitong Chen, Miao Xu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Diagnosis Ranking with Knowledge Graph Convolutional Networks.

Bing Liu, Guido Zuccon, Wen Hua, Weitong Chen

Proceedings of the Advances in Information Retrieval, 2021

Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation.

Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu, Xue Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces.

Chunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu, Weitong Chen, Lin Yue, Haomeng Wu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition.

Yixuan Qiu, Weitong Chen, Lin Yue, Miao Xu, Baofeng Zhu

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Intention Recognition from Spatio-Temporal Representation of EEG Signals.

Lin Yue, Dongyuan Tian, Jing Jiang, Lina Yao, Weitong Chen, Xiaowei Zhao

Proceedings of the Databases Theory and Applications, 2021

2020

Deep multi-task learning on time-series medical data

Weitong Chen

PhD thesis, 2020

Deep learning for heterogeneous medical data analysis.

Lin Yue, Dongyuan Tian, Weitong Chen, Xuming Han, Minghao Yin

World Wide Web, 2020

Graph augmented triplet architecture for fine-grained patient similarity.

Yanda Wang, Weitong Chen, Dechang Pi, Robert Boots

World Wide Web, 2020

AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction.

Weitong Chen, Guodong Long, Lina Yao, Quan Z. Sheng

World Wide Web, 2020

Active cross-query learning: A reliable labeling mechanism via crowdsourcing for smart surveillance.

Bohan Li, Anman Zhang, Weitong Chen, Hai-Lian Yin, Ken Cai

Comput. Commun., 2020

Combining Chrominance Features and Fast ICA for Noncontact Imaging Photoplethysmography.

Ken Cai, Hongwei Yue, Bohan Li, Weitong Chen, Wenhua Huang

IEEE Access, 2020

2019

A survey of sentiment analysis in social media.

Lin Yue, Weitong Chen, Xue Li, Wanli Zuo, Minghao Yin

Knowl. Inf. Syst., 2019

MMM: Multi-source Multi-net Micro-video Recommendation with Clustered Hidden Item Representation Learning.

Jingwei Ma, Jiahui Wen, Mingyang Zhong, Weitong Chen, Xue Li

Data Sci. Eng., 2019

IFFLC: An Integrated Framework of Feature Learning and Classification for Multiple Diagnosis Codes Assignment.

Yuwen Li, Weitong Chen, Deyin Liu, Zhimin Zhang, Shunxiang Wu, Chengyu Liu

IEEE Access, 2019

Finding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun.

Xin Xu, Zeyu Huang, Jingyi Wu, Yanjie Fu, Na Luo, Weitong Chen, Jianan Wang, Minghao Yin

Proceedings of the Database Systems for Advanced Applications, 2019

Leveraging Knowledge Graph Embeddings for Natural Language Question Answering.

Ruijie Wang, Meng Wang, Jun Liu, Weitong Chen, Michael Cochez, Stefan Decker

Proceedings of the Database Systems for Advanced Applications, 2019

Learning Fine-Grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs.

Yanda Wang, Weitong Chen, Bohan Li, Robert Boots

Proceedings of the Database Systems for Advanced Applications, 2019

DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis.

Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Yuwei Hao, Shining Liang

Proceedings of the Database Systems for Advanced Applications, 2019

Multi-source Multi-net Micro-video Recommendation with Hidden Item Category Discovery.

Jingwei Ma, Jiahui Wen, Mingyang Zhong, Weitong Chen, Xiaofang Zhou, Jadwiga Indulska

Proceedings of the Database Systems for Advanced Applications, 2019

DBRec: Dual-Bridging Recommendation via Discovering Latent Groups.

Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Robust Feature Selection Based on Fuzzy Rough Sets with Representative Sample.

Zhimin Zhang, Weitong Chen, Chengyu Liu, Yun Kang, Feng Liu, Yuwen Li, Shoushui Wei

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction.

Zhenkun Shi, Weitong Chen, Shining Liang, Wanli Zuo, Lin Yue, Sen Wang

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

RecKGC: Integrating Recommendation with Knowledge Graph Completion.

Jingwei Ma, Mingyang Zhong, Jiahui Wen, Weitong Chen, Xiaofang Zhou, Xue Li

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition.

Weitong Chen, Lin Yue, Bohan Li, Can Wang, Quan Z. Sheng

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018

Answering why-not questions on semantic multimedia queries.

Meng Wang, Weitong Chen, Sen Wang, Jun Liu, Xue Li, Bela Stantic

Multim. Tools Appl., 2018

EEG-based Motion Intention Recognition via Multi-task RNNs.

Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Treatment Recommendation in Critical Care: A Scalable and Interpretable Approach in Partially Observable Health States.

Chandra Prasetyo Utomo, Xue Li, Weitong Chen

Proceedings of the International Conference on Information Systems, 2018

Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit.

Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Z. Sheng, Xue Li

Proceedings of the IEEE International Conference on Data Mining, 2018

Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface.

Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multi-factors based sentence ordering for cross-document fusion from multimodal content.

Lin Yue, Zhenkun Shi, Jiayu Han, Sen Wang, Weitong Chen, Wanli Zuo

Neurocomputing, 2017

Efficient traffic congestion estimation using multiple spatio-temporal properties.

Yongjian Yang, Yuanbo Xu, Jiayu Han, En Wang, Weitong Chen, Lin Yue

Neurocomputing, 2017

EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks.

Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots

CoRR, 2017

User Relation Prediction Based on Matrix Factorization and Hybrid Particle Swarm Optimization.

Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Jiayu Han, Lizhou Feng

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

People Opinion Topic Model: Opinion based User Clustering in Social Networks.

Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning.

Yuanhao Zheng, Bifan Wei, Jun Liu, Meng Wang, Weitong Chen, Bei Wu, Yihe Chen

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016

Compact representation for large-scale unconstrained video analysis.

Sen Wang, Pingbo Pan, Guodong Long, Weitong Chen, Xue Li, Quan Z. Sheng

World Wide Web, 2016

Multi-task support vector machines for feature selection with shared knowledge discovery.

Sen Wang, Xiaojun Chang, Xue Li, Quan Z. Sheng, Weitong Chen

Signal Process., 2016

Learning Graph-based POI Embedding for Location-based Recommendation.

Min Xie, Hongzhi Yin, Hao Wang, Fanjiang Xu, Weitong Chen, Sen Wang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Dynamic Reverse Furthest Neighbor Querying Algorithm of Moving Objects.

Bohan Li, Chao Zhang, Weitong Chen, Yingbao Yang, Shaohong Feng, Qiqian Zhang, Weiwei Yuan, Dongjing Li

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016