Weitong Chen

138 papers A* 8A 17C 11Misc 6Journal 60Unranked 29
YearRankTypeTitle / Venue / Authors
2026 — ed.
Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part I
ADMA (1)
Masatoshi Yoshikawa, Xiaofeng Meng, Yang Cao, Chuan Xiao, Weitong Chen, Yanda Wang
2026 — ed.
Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part II
ADMA (2)
Masatoshi Yoshikawa, Xiaofeng Meng, Yang Cao, Chuan Xiao, Weitong Chen, Yanda Wang
2026 — ed.
Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part III
ADMA (3)
Masatoshi Yoshikawa, Xiaofeng Meng, Yang Cao, Chuan Xiao, Weitong Chen, Yanda Wang
2026 — ed.
Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part IV
ADMA (4)
Masatoshi Yoshikawa, Xiaofeng Meng, Yang Cao, Chuan Xiao, Weitong Chen, Yanda Wang
2026 J jnl
Learning Collective Medication Effects via Multi-level Abstraction for Medication Recommendation.
CoRR
Yanda Wang, Weitong Chen, Chao Tan, Ian T. Nabney, Lin Yue, Genlin Ji
2026 A* conf
Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS.
WWW
Liangwei Nathan Zheng, Wenhao Liang, Wei Emma Zhang, Miao Xu, Olaf Maennel, Weitong Chen
2026 J jnl
Test-Time Attention Purification for Backdoored Large Vision Language Models.
CoRR
Zhifang Zhang, Bojun Yang, Shuo He, Weitong Chen, Wei Emma Zhang, Olaf Maennel, Lei Feng, Miao Xu
2025 J jnl
A boosting framework for positive-unlabeled learning.
Stat. Comput.
Yawen Zhao, Mingzhe Zhang, Chenhao Zhang, Weitong Chen, Nan Ye, Miao Xu
2025 J jnl
A survey of deep-learning-based radiology report generation using multimodal inputs.
Medical Image Anal.
Xinyi Wang, Grazziela P. Figueredo, Ruizhe Li, Wei Emma Zhang, Weitong Chen, Xin Chen
2025 J jnl
Adapting to the stream: an instance-attention GNN method for irregular multivariate time series data.
Frontiers Comput. Sci.
Kun Han, Abigail M. Y. Koay, Ryan K. L. Ko, Weitong Chen, Miao Xu
2025 A conf
Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement.
CIKM
Liangwei Nathan Zheng, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen
2025 J jnl
Beyond EHRs: External Clinical knowledge and cohort Features for medication recommendation.
Knowl. Based Syst.
Yanda Wang, Weitong Chen, Lin Yue, Ian T. Nabney, Dechang Pi
2025 A conf
Calibrating on Kolmogorov-Arnold Network.
CIKM
Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen
2025 A conf
Calibrating on Medical Segmentation Model through Signed Distance.
CIKM
Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen
2025 J jnl
Calibration Attention: Instance-wise Temperature Scaling for Vision Transformers.
CoRR
Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen
2025 — conf
FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings.
PAKDD (5)
Ali Shakeri, Wei Emma Zhang, Amin Beheshti, Weitong Chen, Jian Yang, Lishan Yang
2025 J jnl
FedDPG: An Adaptive Yet Efficient Prompt-tuning Approach in Federated Learning Settings.
CoRR
Ali Shakeri, Wei Emma Zhang, Amin Beheshti, Weitong Chen, Jian Yang, Lishan Yang
2025 J jnl
FediLoRA: Heterogeneous LoRA for Federated Multimodal Fine-tuning under Missing Modalities.
CoRR
Lishan Yang, Wei Emma Zhang, Nam Kha Nguygen, Po Hu, Yanjun Shu, Weitong Chen, Mong Yuan Sim
2025 J jnl
Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability.
CoRR
Liangwewi Nathan Zheng, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen
2025 J jnl
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation.
ACM Trans. Intell. Syst. Technol.
Haojie Zhuang, Wei Zhang, Weitong Chen, Jian Yang, Quan Z. Sheng
2025 J jnl
Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS.
CoRR
Liangwei Nathan Zheng, Wenhao Liang, Wei Emma Zhang, Miao Xu, Olaf Maennel, Weitong Chen
2025 A conf
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning.
CIKM
Lishan Yang, Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Weitong Chen, Ali Shakeri
2025 J jnl
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning.
CoRR
Lishan Yang, Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Weitong Chen, Ali Shakeri
2025 A conf
Machine Unlearning for Streaming Forgetting.
ECAI
Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu
2025 J jnl
Machine Unlearning for Streaming Forgetting.
CoRR
Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu
2025 J jnl
Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items.
ACM Trans. Intell. Syst. Technol.
Chenhao Zhang, Weitong Chen, Wei Zhang, Miao Xu
2025 J jnl
PostHoc FREE Calibrating on Kolmogorov Arnold Networks.
CoRR
Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen
2025 — conf
Price Equilibrium Routing: A Lightweight Framework for Expert Selection in Mixture-of-Experts.
AI (2)
Yiyang Zhao, Liangwei Nathan Zheng, Wei Emma Zhang, Weitong Chen
2025 J jnl
Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate.
CoRR
Liangwei Nathan Zheng, Wei Emma Zhang, Mingyu Guo, Miao Xu, Olaf Maennel, Weitong Chen
2025 A* conf
Toward Efficient Data-Free Unlearning.
AAAI
Chenhao Zhang, Shaofei Shen, Weitong Chen, Miao Xu
2025 — conf
TraffiX-MoE: A Traffic-Aware Neural VRP Solver.
ADMA (4)
Wenhao Liang, Wei Emma Zhang, Lin Yue, Joy Rathjen, Peter Oloughlin, Weitong Chen
2025 — conf
TrojanTime: Backdoor Attacks on Time Series Classification.
PAKDD (4)
Chang Dong, Zechao Sun, Guangdong Bai, Shuying Piao, Weitong Chen, Wei Emma Zhang
2025 J jnl
TrojanTime: Backdoor Attacks on Time Series Classification.
CoRR
Chang Dong, Zechao Sun, Guangdong Bai, Shuying Piao, Weitong Chen, Wei Emma Zhang
2025 — conf
Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment.
KDD (2)
Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen
2025 J jnl
We Care Each Pixel: Calibrating on Medical Segmentation Model.
CoRR
Wenhao Liang, Wei Zhang, Yue Lin, Miao Xu, Olaf Maennel, Weitong Chen
2024 J jnl
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data.
CoRR
Xinyi Wang, Grazziela P. Figueredo, Ruizhe Li, Wei Emma Zhang, Weitong Chen, Xin Chen
2024 J jnl
An adaptive category-aware recommender based on dual knowledge graphs.
Inf. Process. Manag.
Yuanbo Xu, Tian Li, Yongjian Yang, Weitong Chen, Lin Yue
2024 — conf
Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output.
NAACL-HLT
Haojie Zhuang, Wei Emma Zhang, Leon Xie, Weitong Chen, Jian Yang, Quan Sheng
2024 A conf
Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble.
CIKM
Chang George Dong, Zhengyang David Li, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang
2024 J jnl
Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble.
CoRR
Chang Dong, Zhengyang Li, Liangwei Zheng, Weitong Chen, Wei Emma Zhang
2024 A conf
CaMU: Disentangling Causal Effects in Deep Model Unlearning.
SDM
Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu
2024 J jnl
CaMU: Disentangling Causal Effects in Deep Model Unlearning.
CoRR
Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu
2024 J jnl
Calibrating Deep Neural Network using Euclidean Distance.
CoRR
Wenhao Liang, Chang Dong, Liangwei Zheng, Zhengyang Li, Wei Zhang, Weitong Chen
2024 — conf
Correlation Analysis of Adversarial Attack in Time Series Classification.
ADMA (4)
Zhengyang Li, Wenhao Liang, Chang Dong, Weitong Chen, Dong Huang
2024 J jnl
Correlation Analysis of Adversarial Attack in Time Series Classification.
CoRR
Zhengyang Li, Wenhao Liang, Chang Dong, Weitong Chen, Dong Huang
2024 C conf
Countering Relearning with Perception Revising Unlearning.
ACML
Chenhao Zhang, Weitong Chen, Wei Emma Zhang, Miao Xu
2024 A conf
Data-Product Catalogues: Envisioning with Knowledge-aware Natural Language Processing.
ICWS
Yutong Qu, Jian Yang, Wei Emma Zhang, Weitong Chen, Hong Qing Yu
2024 A conf
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction.
CIKM
Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Xin Chen, Lin Yue, Weitong Chen
2024 J jnl
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction.
CoRR
Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Xin Chen, Lin Yue, Weitong Chen
2024 — conf
Distributed Industrial Digital Twinning Scheme in 6G Future Scenarios.
ADMA (1)
Yibo Sun, Bingyu Yang, Enliang Wang, Jing Gong, Weitong Chen, Zhe Sun
2024 — conf
Efficient Clustered Federated Learning by Locality Sensitive Hashing.
ADMA (2)
Lishan Yang, Alireza Seyed Shakeri, Liangxi Pu, Weitong Chen, Yanjun Shu
2024 — conf
Enhancing Chemistry-Domain Scientific Paper Summarization by Knowledge Graphs.
ADMA (2)
Yutong Qu, Jian Yang, Weitong Chen, Yan Jiao, Lishan Yang, Congbo Ma
2024 — conf
Enhancing Financial Market Predictions: Causality-Driven Feature Selection.
ADMA (1)
Wenhao Liang, Zhengyang Li, Weitong Chen
2024 J jnl
Enhancing Financial Market Predictions: Causality-Driven Feature Selection.
CoRR
Wenhao Liang, Zhengyang Li, Weitong Chen
2024 A conf
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics.
CIKM
Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen
2024 J jnl
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics.
CoRR
Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen
2024 J jnl
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis.
CoRR
Chang Dong, Liangwei Zheng, Weitong Chen, Wei Emma Zhang
2024 A* conf
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models.
ICLR
Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu
2024 J jnl
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models.
CoRR
Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu
2024 — conf
Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix.
DASFAA (5)
Xiao Tan, Zhaoyang Wang, Meng Wang, Dian Shen, Weitong Chen, Beilun Wang
2024 Misc conf
Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach.
ADC
Kun Han, Abigail M. Y. Koay, Ryan K. L. Ko, Weitong Chen, Miao Xu
2024 A conf
Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations.
CIKM
Haojie Zhuang, Wei Emma Zhang, Jian Yang, Weitong Chen, Quan Z. Sheng
2024 J jnl
Revisited Large Language Model for Time Series Analysis through Modality Alignment.
CoRR
Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen
2024 J jnl
The evolution of object detection methods.
Eng. Appl. Artif. Intell.
Yibo Sun, Zhe Sun, Weitong Chen
2024 J jnl
Toward Efficient Data-Free Unlearning.
CoRR
Chenhao Zhang, Shaofei Shen, Weitong Chen, Miao Xu
2024 A conf
Transforming Data Product Generation through Federated Learning: An Exploration of FL Applications in Data Ecosystems.
ICWS
Ali Shakeri, Perry Chen, Yanjun Shu, Lishan Yang, Wei Emma Zhang, Weitong Chen
2023 A* conf
A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access.
ICDM
Yixuan Qiu, Weitong Chen, Miao Xu
2023 J jnl
Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities.
World Sci. Annu. Rev. Artif. Intell.
Xue Li, Catherine Zou, Robert Boots, Sen Wang, Weitong Chen, Guido Zuccon
2023 J jnl
Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs.
World Wide Web (WWW)
Weitong Chen, Wei Emma Zhang, Lin Yue
2023 Misc conf
Demo Abstract: Navigating Indoors: A Cost-effective Drone-based Solution.
SenSys
Zicong Wen, Wei Emma Zhang, Lipin Guo, Weitong Chen
2023 — conf
Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction.
ADMA (3)
Di Zhu, Yi Liu, Weitong Chen, Yanda Wang, YeFan Huang, Xiaoli Wang, Ken Cai, Bohan Li
2023 J jnl
MSN: Mapless Short-Range Navigation Based on Time Critical Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst.
Bohan Li, Zhelong Huang, Weitong Chen, Tianlun Dai, Yalei Zang, Wenbin Xie, Bo Tian, Ken Cai
2023 — conf
Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies.
AI (1)
Lipin Guo, Wei Emma Zhang, Weitong Chen, Ni Yang, Queen Nguyen, Trung Duc Vo
2023 J jnl
Pre-training in Medical Data: A Survey.
Mach. Intell. Res.
Yixuan Qiu, Feng Lin, Weitong Chen, Miao Xu
2023 — conf
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series.
ICKG
Chang George Dong, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang, Lin Yue
2023 J jnl
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series.
CoRR
Chang George Dong, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang, Lin Yue
2023 J jnl
T-PORP: A Trusted Parallel Route Planning Model on Dynamic Road Networks.
IEEE Trans. Intell. Transp. Syst.
Bohan Li, Tianlun Dai, Weitong Chen, Xinyang Song, Yalei Zang, Zhelong Huang, Qinyong Lin, Ken Cai
2023 — conf
Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level.
PAKDD (4)
Shaofei Shen, Mingzhe Zhang, Weitong Chen, Alina Bialkowski, Miao Xu
2022 C ed.
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part I
ADMA
Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu
2022 C ed.
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part II
ADMA
Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu
2022 — ed.
Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I
ADMA (1)
Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li
2022 — ed.
Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II
ADMA (2)
Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li
2022 — conf
Death Comes But Why: An Interpretable Illness Severity Predictions in ICU.
APWeb/WAIM (1)
Shaofei Shen, Miao Xu, Lin Yue, Robert Boots, Weitong Chen
2022 — conf
GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network.
DASFAA (2)
Yalei Zang, Yi Liu, Weitong Chen, Bohan Li, Aoran Li, Lin Yue, Weihua Ma
2022 — conf
Improving Motor Imagery Intention Recognition via Local Relation Networks.
APWeb/WAIM (1)
Lin Yue, Yuxuan Zhang, Xiaowei Zhao, Zhe Zhang, Weitong Chen
2022 Misc conf
Improving Traffic Load Prediction with Multi-modality - A Case Study of Brisbane.
AI
Khai Phan Tran, Weitong Chen, Miao Xu
2022 Misc conf
Investigating Active Positive-Unlabeled Learning with Deep Networks.
AI
Kun Han, Weitong Chen, Miao Xu
2022 — conf
SSCG: Spatial Subcluster Clustering Method by Grid-Connection.
APWeb/WAIM (2)
Yihang Zhang, Xuming Han, Limin Wang, Weitong Chen, Linliang Guo
2022 — conf
Towards Better Generalization for Neural Network-Based SAT Solvers.
PAKDD (2)
Chenhao Zhang, Yanjun Zhang, Jeff Mao, Weitong Chen, Lin Yue, Guangdong Bai, Miao Xu
2022 Misc conf
What Leads to Arrhythmia: Active Causal Representation Learning of ECG Classification.
AI
Shaofei Shen, Weitong Chen, Miao Xu
2021 J jnl
Adversarially regularized medication recommendation model with multi-hop memory network.
Knowl. Inf. Syst.
Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue
2021 J jnl
Blockchain-Based Trust Management Model for Location Privacy Preserving in VANET.
IEEE Trans. Intell. Transp. Syst.
Bohan Li, Ruochen Liang, Di Zhu, Weitong Chen, Qinyong Lin
2021 J jnl
CSIP: Enhanced Link Prediction with Context of Social Influence Propagation.
Big Data Res.
Han Gao, Bohan Li, Wenbin Xie, Yuxin Zhang, Donghai Guan, Weitong Chen, Ken Cai
2021 — conf
Diagnosis Ranking with Knowledge Graph Convolutional Networks.
ECIR (1)
Bing Liu, Guido Zuccon, Wen Hua, Weitong Chen
2021 A conf
Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces.
CIKM
Chunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu, Weitong Chen, Lin Yue, Haomeng Wu
2021 J jnl
Efficient search over incomplete knowledge graphs in binarized embedding space.
Future Gener. Comput. Syst.
Meng Wang, Weitong Chen, Sen Wang, Yinlin Jiang, Lina Yao, Guilin Qi
2021 J jnl
Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning.
ACM Trans. Knowl. Discov. Data
Lin Yue, Hao Shen, Sen Wang, Robert Boots, Guodong Long, Weitong Chen, Xiaowei Zhao
2021 J jnl
Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks.
Big Data Res.
Yuxin Zhang, Bohan Li, Han Gao, Ye Ji, Han Yang, Meng Wang, Weitong Chen
2021 Misc conf
Intention Recognition from Spatio-Temporal Representation of EEG Signals.
ADC
Lin Yue, Dongyuan Tian, Jing Jiang, Lina Yao, Weitong Chen, Xiaowei Zhao
2021 A conf
Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation.
CIKM
Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu, Xue Li
2021 A* conf
Positive-Unlabeled Learning from Imbalanced Data.
IJCAI
Guangxin Su, Weitong Chen, Miao Xu
2021 C conf
STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition.
ADMA
Yixuan Qiu, Weitong Chen, Lin Yue, Miao Xu, Baofeng Zhu
2021 A* conf
Self-Supervised Adversarial Distribution Regularization for Medication Recommendation.
IJCAI
Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Sen Wang, Miao Xu
2020 J jnl
AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction.
World Wide Web
Weitong Chen, Guodong Long, Lina Yao, Quan Z. Sheng
2020 J jnl
Active cross-query learning: A reliable labeling mechanism via crowdsourcing for smart surveillance.
Comput. Commun.
Bohan Li, Anman Zhang, Weitong Chen, Hai-Lian Yin, Ken Cai
2020 J jnl
Combining Chrominance Features and Fast ICA for Noncontact Imaging Photoplethysmography.
IEEE Access
Ken Cai, Hongwei Yue, Bohan Li, Weitong Chen, Wenhua Huang
2020 J jnl
Deep learning for heterogeneous medical data analysis.
World Wide Web
Lin Yue, Dongyuan Tian, Weitong Chen, Xuming Han, Minghao Yin
2020 — —
Deep multi-task learning on time-series medical data
Weitong Chen
2020 J jnl
Graph augmented triplet architecture for fine-grained patient similarity.
World Wide Web
Yanda Wang, Weitong Chen, Dechang Pi, Robert Boots
2019 J jnl
A survey of sentiment analysis in social media.
Knowl. Inf. Syst.
Lin Yue, Weitong Chen, Xue Li, Wanli Zuo, Minghao Yin
2019 C conf
DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition.
ADMA
Weitong Chen, Lin Yue, Bohan Li, Can Wang, Quan Z. Sheng
2019 A conf
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups.
CIKM
Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li
2019 J jnl
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups.
CoRR
Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li
2019 — conf
DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis.
DASFAA (2)
Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Yuwei Hao, Shining Liang
2019 C conf
Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction.
ADMA
Zhenkun Shi, Weitong Chen, Shining Liang, Wanli Zuo, Lin Yue, Sen Wang
2019 — conf
Finding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun.
DASFAA (3)
Xin Xu, Zeyu Huang, Jingyi Wu, Yanjie Fu, Na Luo, Weitong Chen, Jianan Wang, Minghao Yin
2019 J jnl
IFFLC: An Integrated Framework of Feature Learning and Classification for Multiple Diagnosis Codes Assignment.
IEEE Access
Yuwen Li, Weitong Chen, Deyin Liu, Zhimin Zhang, Shunxiang Wu, Chengyu Liu
2019 — conf
Learning Fine-Grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs.
DASFAA (1)
Yanda Wang, Weitong Chen, Bohan Li, Robert Boots
2019 — conf
Leveraging Knowledge Graph Embeddings for Natural Language Question Answering.
DASFAA (1)
Ruijie Wang, Meng Wang, Jun Liu, Weitong Chen, Michael Cochez, Stefan Decker
2019 J jnl
MMM: Multi-source Multi-net Micro-video Recommendation with Clustered Hidden Item Representation Learning.
Data Sci. Eng.
Jingwei Ma, Jiahui Wen, Mingyang Zhong, Weitong Chen, Xue Li
2019 — conf
Multi-source Multi-net Micro-video Recommendation with Hidden Item Category Discovery.
DASFAA (2)
Jingwei Ma, Jiahui Wen, Mingyang Zhong, Weitong Chen, Xiaofang Zhou, Jadwiga Indulska
2019 C conf
RecKGC: Integrating Recommendation with Knowledge Graph Completion.
ADMA
Jingwei Ma, Mingyang Zhong, Jiahui Wen, Weitong Chen, Xiaofang Zhou, Xue Li
2019 C conf
Robust Feature Selection Based on Fuzzy Rough Sets with Representative Sample.
ADMA
Zhimin Zhang, Weitong Chen, Chengyu Liu, Yun Kang, Feng Liu, Yuwen Li, Shoushui Wei
2018 J jnl
Answering why-not questions on semantic multimedia queries.
Multim. Tools Appl.
Meng Wang, Weitong Chen, Sen Wang, Jun Liu, Xue Li, Bela Stantic
2018 A* conf
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface.
AAAI
Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah
2018 A* conf
Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit.
ICDM
Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Z. Sheng, Xue Li
2018 A conf
EEG-based Motion Intention Recognition via Multi-task RNNs.
SDM
Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li
2018 C conf
Treatment Recommendation in Critical Care: A Scalable and Interpretable Approach in Partially Observable Health States.
ICIS
Chandra Prasetyo Utomo, Xue Li, Weitong Chen
2017 J jnl
EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks.
CoRR
Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots
2017 J jnl
Efficient traffic congestion estimation using multiple spatio-temporal properties.
Neurocomputing
Yongjian Yang, Yuanbo Xu, Jiayu Han, En Wang, Weitong Chen, Lin Yue
2017 J jnl
Multi-factors based sentence ordering for cross-document fusion from multimodal content.
Neurocomputing
Lin Yue, Zhenkun Shi, Jiayu Han, Sen Wang, Weitong Chen, Wanli Zuo
2017 — conf
People Opinion Topic Model: Opinion based User Clustering in Social Networks.
WWW (Companion Volume)
Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen
2017 C conf
Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning.
ADMA
Yuanhao Zheng, Bifan Wei, Jun Liu, Meng Wang, Weitong Chen, Bei Wu, Yihe Chen
2017 — conf
User Relation Prediction Based on Matrix Factorization and Hybrid Particle Swarm Optimization.
WWW (Companion Volume)
Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Jiayu Han, Lizhou Feng
2016 J jnl
Compact representation for large-scale unconstrained video analysis.
World Wide Web
Sen Wang, Pingbo Pan, Guodong Long, Weitong Chen, Xue Li, Quan Z. Sheng
2016 C conf
Dynamic Reverse Furthest Neighbor Querying Algorithm of Moving Objects.
ADMA
Bohan Li, Chao Zhang, Weitong Chen, Yingbao Yang, Shaohong Feng, Qiqian Zhang, Weiwei Yuan, Dongjing Li
2016 A conf
Learning Graph-based POI Embedding for Location-based Recommendation.
CIKM
Min Xie, Hongzhi Yin, Hao Wang, Fanjiang Xu, Weitong Chen, Sen Wang
2016 J jnl
Multi-task support vector machines for feature selection with shared knowledge discovery.
Signal Process.
Sen Wang, Xiaojun Chang, Xue Li, Quan Z. Sheng, Weitong Chen