Dynamic Reverse Furthest Neighbor Querying Algorithm of Moving Objects. - Bohan Li 001; Chao Zhang; Weitong Chen 001; Yingbao Yang; Shaohong Feng; Qiqian Zhang; Weiwei Yuan; Dongjing Li (ADMA, 2016)

Learning Graph-based POI Embedding for Location-based Recommendation. - Min Xie; Hongzhi Yin; Hao Wang 005; Fanjiang Xu; Weitong Chen 001; Sen Wang 001 (CIKM, 2016)

Multi-task support vector machines for feature selection with shared knowledge discovery. - Sen Wang 001; Xiaojun Chang; Xue Li 001; Quan Z. Sheng; Weitong Chen 001 (Signal Process., 2016)

Compact representation for large-scale unconstrained video analysis. - Sen Wang 001; Pingbo Pan; Guodong Long; Weitong Chen 001; Xue Li 001; Quan Z. Sheng (World Wide Web, 2016)

Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning. - Yuanhao Zheng; Bifan Wei; Jun Liu 002; Meng Wang 009; Weitong Chen 001; Bei Wu; Yihe Chen (ADMA, 2017)

People Opinion Topic Model: Opinion based User Clustering in Social Networks. - Hongxu Chen 002; Hongzhi Yin; Xue Li 001; Meng Wang 009; Weitong Chen 001; Tong Chen 005 (WWW (Companion Volume), 2017)

User Relation Prediction Based on Matrix Factorization and Hybrid Particle Swarm Optimization. - Zhenkun Shi; Wanli Zuo; Weitong Chen 001; Lin Yue; Jiayu Han; Lizhou Feng (WWW (Companion Volume), 2017)

EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks. - Dalin Zhang 001; Lina Yao 001; Xiang Zhang 012; Sen Wang 001; Weitong Chen 001; Robert Boots (CoRR, 2017)

Efficient traffic congestion estimation using multiple spatio-temporal properties. - Yongjian Yang 001; Yuanbo Xu; Jiayu Han; En Wang; Weitong Chen 001; Lin Yue (Neurocomputing, 2017)

Multi-factors based sentence ordering for cross-document fusion from multimodal content. - Lin Yue; Zhenkun Shi; Jiayu Han; Sen Wang 001; Weitong Chen 001; Wanli Zuo (Neurocomputing, 2017)

Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. - Dalin Zhang 001; Lina Yao 001; Xiang Zhang 012; Sen Wang 001; Weitong Chen 001; Robert Boots; Boualem Benatallah (AAAI, 2018)

Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. - Weitong Chen 001; Sen Wang 001; Guodong Long; Lina Yao 001; Quan Z. Sheng; Xue Li 001 (ICDM, 2018)

Treatment Recommendation in Critical Care: A Scalable and Interpretable Approach in Partially Observable Health States. - Chandra Prasetyo Utomo; Xue Li 001; Weitong Chen 001 (ICIS, 2018)

EEG-based Motion Intention Recognition via Multi-task RNNs. - Weitong Chen 001; Sen Wang 001; Xiang Zhang 012; Lina Yao 001; Lin Yue; Buyue Qian; Xue Li 001 (SDM, 2018)

Answering why-not questions on semantic multimedia queries. - Meng Wang 009; Weitong Chen 001; Sen Wang 001; Jun Liu 002; Xue Li 001; Bela Stantic (Multim. Tools Appl., 2018)

DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition. - Weitong Chen 001; Lin Yue; Bohan Li 001; Can Wang 004; Quan Z. Sheng (ADMA, 2019)

RecKGC: Integrating Recommendation with Knowledge Graph Completion. - Jingwei Ma; Mingyang Zhong; Jiahui Wen; Weitong Chen 001; Xiaofang Zhou 001; Xue Li 001 (ADMA, 2019)

Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction. - Zhenkun Shi; Weitong Chen 001; Shining Liang; Wanli Zuo; Lin Yue; Sen Wang 001 (ADMA, 2019)

Robust Feature Selection Based on Fuzzy Rough Sets with Representative Sample. - Zhimin Zhang 006; Weitong Chen 001; Chengyu Liu 001; Yun Kang; Feng Liu 005; Yuwen Li 002; Shoushui Wei (ADMA, 2019)

DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. - Jingwei Ma; Jiahui Wen; Mingyang Zhong; Liangchen Liu; Chaojie Li; Weitong Chen 001; Yin Yang 001; Hongkui Tu; Xue Li 001 (CIKM, 2019)

Multi-source Multi-net Micro-video Recommendation with Hidden Item Category Discovery. - Jingwei Ma; Jiahui Wen; Mingyang Zhong; Weitong Chen 001; Xiaofang Zhou 001; Jadwiga Indulska (DASFAA (2), 2019)

DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis. - Zhenkun Shi; Wanli Zuo; Weitong Chen 001; Lin Yue; Yuwei Hao; Shining Liang (DASFAA (2), 2019)

Learning Fine-Grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs. - Yanda Wang; Weitong Chen 001; Bohan Li 001; Robert Boots (DASFAA (1), 2019)

Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. - Ruijie Wang 003; Meng Wang 009; Jun Liu 002; Weitong Chen 001; Michael Cochez; Stefan Decker (DASFAA (1), 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 001; Jianan Wang; Minghao Yin (DASFAA (3), 2019)

IFFLC: An Integrated Framework of Feature Learning and Classification for Multiple Diagnosis Codes Assignment. - Yuwen Li 002; Weitong Chen 001; Deyin Liu; Zhimin Zhang 006; Shunxiang Wu; Chengyu Liu 001 (IEEE Access, 2019)

MMM: Multi-source Multi-net Micro-video Recommendation with Clustered Hidden Item Representation Learning. - Jingwei Ma; Jiahui Wen; Mingyang Zhong; Weitong Chen 001; Xue Li 001 (Data Sci. Eng., 2019)

A survey of sentiment analysis in social media. - Lin Yue; Weitong Chen 001; Xue Li 001; Wanli Zuo; Minghao Yin (Knowl. Inf. Syst., 2019)

Combining Chrominance Features and Fast ICA for Noncontact Imaging Photoplethysmography. - Ken Cai; Hongwei Yue; Bohan Li 001; Weitong Chen 001; Wenhua Huang (IEEE Access, 2020)

Active cross-query learning: A reliable labeling mechanism via crowdsourcing for smart surveillance. - Bohan Li 001; Anman Zhang; Weitong Chen 001; Hai-Lian Yin; Ken Cai (Comput. Commun., 2020)

AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction. - Weitong Chen 001; Guodong Long; Lina Yao 001; Quan Z. Sheng (World Wide Web, 2020)

Graph augmented triplet architecture for fine-grained patient similarity. - Yanda Wang; Weitong Chen 001; Dechang Pi; Robert Boots (World Wide Web, 2020)

Deep learning for heterogeneous medical data analysis. - Lin Yue; Dongyuan Tian; Weitong Chen 001; Xuming Han; Minghao Yin (World Wide Web, 2020)

Deep multi-task learning on time-series medical data - Weitong Chen 001 (2020)

Intention Recognition from Spatio-Temporal Representation of EEG Signals. - Lin Yue; Dongyuan Tian; Jing Jiang 002; Lina Yao 001; Weitong Chen 001; Xiaowei Zhao 004 (ADC, 2021)

STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition. - Yixuan Qiu; Weitong Chen 001; Lin Yue; Miao Xu 001; Baofeng Zhu (ADMA, 2021)

Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. - Chunyu Liu; Yongjian Yang 001; Zijun Yao 001; Yuanbo Xu; Weitong Chen 001; Lin Yue; Haomeng Wu (CIKM, 2021)

Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. - Yanda Wang; Weitong Chen 001; Dechang Pi; Lin Yue; Miao Xu 001; Xue Li 001 (CIKM, 2021)

Diagnosis Ranking with Knowledge Graph Convolutional Networks. - Bing Liu 025; Guido Zuccon; Wen Hua; Weitong Chen 001 (ECIR (1), 2021)

Positive-Unlabeled Learning from Imbalanced Data. - Guangxin Su; Weitong Chen 001; Miao Xu 001 (IJCAI, 2021)

Self-Supervised Adversarial Distribution Regularization for Medication Recommendation. - Yanda Wang; Weitong Chen 001; Dechang Pi; Lin Yue; Sen Wang 001; Miao Xu 001 (IJCAI, 2021)

CSIP: Enhanced Link Prediction with Context of Social Influence Propagation. - Han Gao 007; Bohan Li 001; Wenbin Xie; Yuxin Zhang; Donghai Guan; Weitong Chen 001; Ken Cai (Big Data Res., 2021)

Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks. - Yuxin Zhang; Bohan Li 001; Han Gao 007; Ye Ji; Han Yang; Meng Wang 009; Weitong Chen 001 (Big Data Res., 2021)

Efficient search over incomplete knowledge graphs in binarized embedding space. - Meng Wang 009; Weitong Chen 001; Sen Wang 001; Yinlin Jiang; Lina Yao 001; Guilin Qi (Future Gener. Comput. Syst., 2021)

Adversarially regularized medication recommendation model with multi-hop memory network. - Yanda Wang; Weitong Chen 001; Dechang Pi; Lin Yue (Knowl. Inf. Syst., 2021)

Blockchain-Based Trust Management Model for Location Privacy Preserving in VANET. - Bohan Li 001; Ruochen Liang; Di Zhu; Weitong Chen 001; Qinyong Lin (IEEE Trans. Intell. Transp. Syst., 2021)

Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning. - Lin Yue; Hao Shen; Sen Wang 001; Robert Boots; Guodong Long; Weitong Chen 001; Xiaowei Zhao 004 (ACM Trans. Knowl. Discov. Data, 2021)

Death Comes But Why: An Interpretable Illness Severity Predictions in ICU. - Shaofei Shen 001; Miao Xu 001; Lin Yue; Robert Boots; Weitong Chen 001 (APWeb/WAIM (1), 2022)

Improving Motor Imagery Intention Recognition via Local Relation Networks. - Lin Yue; Yuxuan Zhang; Xiaowei Zhao 004; Zhe Zhang; Weitong Chen 001 (APWeb/WAIM (1), 2022)

SSCG: Spatial Subcluster Clustering Method by Grid-Connection. - Yihang Zhang; Xuming Han; Limin Wang 011; Weitong Chen 001; Linliang Guo (APWeb/WAIM (2), 2022)

Investigating Active Positive-Unlabeled Learning with Deep Networks. - Kun Han; Weitong Chen 001; Miao Xu 001 (AI, 2022)

What Leads to Arrhythmia: Active Causal Representation Learning of ECG Classification. - Shaofei Shen 001; Weitong Chen 001; Miao Xu 001 (AI, 2022)

Improving Traffic Load Prediction with Multi-modality - A Case Study of Brisbane. - Khai Phan Tran; Weitong Chen 001; Miao Xu 001 (AI, 2022)

GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network. - Yalei Zang; Yi Liu 071; Weitong Chen 001; Bohan Li 001; Aoran Li; Lin Yue; Weihua Ma (DASFAA (2), 2022)

Towards Better Generalization for Neural Network-Based SAT Solvers. - Chenhao Zhang 004; Yanjun Zhang; Jeff Mao; Weitong Chen 001; Lin Yue; Guangdong Bai; Miao Xu 001 (PAKDD (2), 2022)

A Boosting Algorithm for Positive-Unlabeled Learning. - Yawen Zhao 002; Mingzhe Zhang; Chenhao Zhang 004; Tony Chen 001; Nan Ye; Miao Xu 001 (CoRR, 2022)

Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction. - Di Zhu; Yi Liu 071; Weitong Chen 001; Yanda Wang; Yefan Huang; Xiaoli Wang 002; Ken Cai; Bohan Li 001 (ADMA (3), 2023)

Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies. - Lipin Guo; Wei Emma Zhang; Weitong Chen 001; Ni Yang; Queen Nguyen; Trung Duc Vo (AI (1), 2023)

SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. - Chang George Dong; Liangwei Nathan Zheng; Weitong Chen 001; Wei Emma Zhang; Lin Yue (ICKG, 2023)

A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access. - Yixuan Qiu; Weitong Chen 001; Miao Xu 001 (ICDM, 2023)

Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level. - Shaofei Shen 001; Mingzhe Zhang; Weitong Chen 001; Alina Bialkowski; Miao Xu 001 (PAKDD (4), 2023)

Demo Abstract: Navigating Indoors: A Cost-effective Drone-based Solution. - Zicong Wen; Wei Emma Zhang; Lipin Guo; Weitong Chen 001 (SenSys, 2023)

Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities. - Xue Li 001; Catherine Zou; Robert Boots; Sen Wang 001; Weitong Chen 001; Guido Zuccon (World Sci. Annu. Rev. Artif. Intell., 2023)

T-PORP: A Trusted Parallel Route Planning Model on Dynamic Road Networks. - Bohan Li 001; Tianlun Dai; Weitong Chen 001; Xinyang Song; Yalei Zang; Zhelong Huang; Qinyong Lin; Ken Cai (IEEE Trans. Intell. Transp. Syst., 2023)

Pre-training in Medical Data: A Survey. - Yixuan Qiu; Feng Lin; Weitong Chen 001; Miao Xu 001 (Mach. Intell. Res., 2023)

MSN: Mapless Short-Range Navigation Based on Time Critical Deep Reinforcement Learning. - Bohan Li 001; Zhelong Huang; Weitong Chen 001; Tianlun Dai; Yalei Zang; Wenbin Xie; Bo Tian; Ken Cai (IEEE Trans. Intell. Transp. Syst., 2023)

Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs. - Weitong Chen 001; Wei Emma Zhang; Lin Yue (World Wide Web (WWW), 2023)

Countering Relearning with Perception Revising Unlearning. - Chenhao Zhang 004; Weitong Chen 001; Wei Emma Zhang; Miao Xu 001 (ACML, 2024)

Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach. - Kun Han; Abigail M. Y. Koay; Ryan K. L. Ko; Weitong Chen 001; Miao Xu 001 (ADC, 2024)

Distributed Industrial Digital Twinning Scheme in 6G Future Scenarios. - Yibo Sun; Bingyu Yang; Enliang Wang; Jing Gong; Weitong Chen 001; Zhe Sun (ADMA (1), 2024)

Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble. - Chang George Dong; Zhengyang David Li; Liangwei Nathan Zheng; Weitong Chen 001; Wei Emma Zhang (CIKM, 2024)

Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. - Liangwei Nathan Zheng; Chang George Dong; Wei Emma Zhang; Xin Chen 003; Lin Yue; Weitong Chen 001 (CIKM, 2024)

Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. - Liangwei Nathan Zheng; Zhengyang Li; Chang George Dong; Wei Emma Zhang; Lin Yue; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CIKM, 2024)

Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations. - Haojie Zhuang; Wei Emma Zhang; Jian Yang 001; Weitong Chen 001; Quan Z. Sheng (CIKM, 2024)

Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix. - Xiao Tan 005; Zhaoyang Wang; Meng Wang 009; Dian Shen; Weitong Chen 001; Beilun Wang (DASFAA (5), 2024)

Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models. - Shaofei Shen 001; Chenhao Zhang 004; Yawen Zhao 002; Alina Bialkowski; Weitong Chen 001; Miao Xu 001 (ICLR, 2024)

Data-Product Catalogues: Envisioning with Knowledge-aware Natural Language Processing. - Yutong Qu; Jian Yang 001; Wei Emma Zhang; Weitong Chen 001; Hong Qing Yu (ICWS, 2024)

Transforming Data Product Generation through Federated Learning: An Exploration of FL Applications in Data Ecosystems. - Ali Shakeri 003; Perry Chen; Yanjun Shu; Lishan Yang; Wei Emma Zhang; Weitong Chen 001 (ICWS, 2024)

Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output. - Haojie Zhuang; Wei Emma Zhang; Leon Xie; Weitong Chen 001; Jian Yang 001; Quan Sheng (NAACL-HLT, 2024)

CaMU: Disentangling Causal Effects in Deep Model Unlearning. - Shaofei Shen 001; Chenhao Zhang 004; Alina Bialkowski; Weitong Chen 001; Miao Xu 001 (SDM, 2024)

A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data. - Xinyi Wang; Grazziela P. Figueredo; Ruizhe Li 005; Wei Emma Zhang; Weitong Chen 001; Xin Chen 003 (CoRR, 2024)

GENIU: A Restricted Data Access Unlearning for Imbalanced Data. - Chenhao Zhang 004; Shaofei Shen 001; Yawen Zhao 002; Weitong Tony Chen; Miao Xu 001 (CoRR, 2024)

Enhancing Financial Market Predictions: Causality-Driven Feature Selection. - Wenhao Liang; Zhengyang Li; Weitong Chen 001 (CoRR, 2024)

Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis. - Chang Dong; Liangwei Zheng; Weitong Chen 001; Wei Emma Zhang (CoRR, 2024)

Correlation Analysis of Adversarial Attack in Time Series Classification. - Zhengyang Li; Wenhao Liang; Chang Dong; Weitong Chen 001; Dong Huang (CoRR, 2024)

Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble. - Chang Dong; Zhengyang Li; Liangwei Zheng; Weitong Chen 001; Wei Emma Zhang (CoRR, 2024)

Revisited Large Language Model for Time Series Analysis through Modality Alignment. - Liangwei Nathan Zheng; Chang George Dong; Wei Emma Zhang; Lin Yue; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CoRR, 2024)

The evolution of object detection methods. - Yibo Sun; Zhe Sun; Weitong Chen 001 (Eng. Appl. Artif. Intell., 2024)

Makespan minimization for workflows with multiple privacy levels. - Shuang Wang 012; Jiawen Wu; Zian Yuan; An Gao; Weitong Tony Chen (Future Gener. Comput. Syst., 2024)

An adaptive category-aware recommender based on dual knowledge graphs. - Yuanbo Xu; Tian Li; Yongjian Yang 001; Weitong Chen 001; Lin Yue (Inf. Process. Manag., 2024)

Toward Efficient Data-Free Unlearning. - Chenhao Zhang 004; Shaofei Shen 001; Weitong Chen 001; Miao Xu 001 (AAAI, 2025)

TrojanTime: Backdoor Attacks on Time Series Classification. - Chang Dong; Zechao Sun; Guangdong Bai; Shuying Piao; Weitong Chen 001; Wei Emma Zhang (PAKDD (4), 2025)

FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings. - Ali Shakeri 003; Wei Emma Zhang; Amin Beheshti; Weitong Chen 001; Jian Yang 001; Lishan Yang (PAKDD (5), 2025)

Beyond EHRs: External Clinical knowledge and cohort Features for medication recommendation. - Yanda Wang; Weitong Chen 001; Lin Yue; Ian T. Nabney; Dechang Pi (Knowl. Based Syst., 2025)

A survey of deep-learning-based radiology report generation using multimodal inputs. - Xinyi Wang; Grazziela P. Figueredo; Ruizhe Li 005; Wei Emma Zhang; Weitong Chen 001; Xin Chen 003 (Medical Image Anal., 2025)

Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability. - Liangwewi Nathan Zheng; Wei Emma Zhang; Lin Yue; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CoRR, 2025)

A boosting framework for positive-unlabeled learning. - Yawen Zhao 002; Mingzhe Zhang; Chenhao Zhang 004; Weitong Chen 001; Nan Ye; Miao Xu 001 (Stat. Comput., 2025)

Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items. - Chenhao Zhang 004; Weitong Chen 001; Wei Zhang 098; Miao Xu 001 (ACM Trans. Intell. Syst. Technol., 2025)

Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation. - Haojie Zhuang; Wei Zhang 098; Weitong Chen 001; Jian Yang 001; Quan Z. Sheng (ACM Trans. Intell. Syst. Technol., 2025)

PostHoc FREE Calibrating on Kolmogorov Arnold Networks. - Wenhao Liang; Wei Emma Zhang; Lin Yue; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CoRR, 2025)

We Care Each Pixel: Calibrating on Medical Segmentation Model. - Wenhao Liang; Wei Zhang 098; Yue Lin; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CoRR, 2025)

MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. - Lishan Yang; Wei Zhang 098; Quan Z. Sheng; Weitong Chen 001; Lina Yao 001; Weitong Chen 001; Ali Shakeri 003 (CoRR, 2025)

MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. - Lishan Yang; Wei Zhang 098; Quan Z. Sheng; Weitong Chen 001; Lina Yao 001; Weitong Chen 001; Ali Shakeri 003 (CoRR, 2025)

Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate. - Liangwei Nathan Zheng; Wei Emma Zhang; Mingyu Guo; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CoRR, 2025)

Machine Unlearning for Streaming Forgetting. - Shaofei Shen 001; Chenhao Zhang 004; Yawen Zhao 002; Alina Bialkowski; Weitong Chen 001; Miao Xu 001 (CoRR, 2025)

Calibration Attention: Instance-wise Temperature Scaling for Vision Transformers. - Wenhao Liang; Wei Emma Zhang; Lin Yue; Miao Xu 001; Olaf Maennel; Weitong Chen 001 (CoRR, 2025)

Adapting to the stream: an instance-attention GNN method for irregular multivariate time series data. - Kun Han; Abigail M. Y. Koay; Ryan K. L. Ko; Weitong Chen 001; Miao Xu 001 (Frontiers Comput. Sci., 2025)