Qiang Zhang
Cited by
Cited by
Respiration-based emotion recognition with deep learning
Q Zhang, X Chen, Q Zhan, T Yang, S Xia
Computers in Industry 92, 84-90, 2017
Detecting work-related stress with a wearable device
L Han, Q Zhang, X Chen, Q Zhan, T Yang, Z Zhao
Computers in Industry 90, 42-49, 2017
Ranking-based method for news stance detection
Q Zhang, E Yilmaz, S Liang
Companion Proceedings of the The Web Conference 2018, 41-42, 2018
Cuff-less blood pressure measurement using pulse arrival time and a Kalman filter
Q Zhang, X Chen, Z Fang, Y Xue, Q Zhan, T Yang, S Xia
Journal of Micromechanics and Microengineering 27 (2), 024002, 2017
Reply-aided detection of misinformation via bayesian deep learning
Q Zhang, A Lipani, S Liang, E Yilmaz
The world wide web conference, 2333-2343, 2019
Self-Attentive Hawkes Process
Q Zhang, A Lipani, O Kirnap, E Yilmaz
Proceedings of the 37th International Conference on Machine Learning,, 2020
From Stances’ Imbalance to Their Hierarchical Representation and Detection
Q Zhang, S Liang, A Lipani, Z Ren, E Yilmaz
Companion Proceedings of the The Web Conference, 2019
Benchmarking deep sequential models on volatility predictions for financial time series
Q Zhang, R Luo, Y Yang, Y Liu
arXiv preprint arXiv:1811.03711, 2018
Reducing false arrhythmia alarm rates using robust heart rate estimation and cost-sensitive support vector machines
Q Zhang, X Chen, Z Fang, Q Zhan, T Yang, S Xia
Physiological measurement 38 (2), 259, 2017
Variational Self-attention Model for Sentence Representation
Q Zhang, S Liang, E Yilmaz
Third workshop on Bayesian Deep Learning (NeurIPS 2018), Montréal, Canada, 2018
False arrhythmia alarm reduction in the intensive care unit using data fusion and machine learning
Q Zhang, X Chen, Z Fang, S Xia
2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016
BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems
Z Meng, R McCreadie, C Macdonald, I Ounis, S Liu, Y Wu, X Wang, ...
Fourteenth ACM Conference on Recommender Systems, 588-590, 2020
Learning Neural Point Processes with Latent Graphs
Q Zhang, A Lipani, E Yilmaz
Web Conference, 2021
Slot Self-Attentive Dialogue State Tracking
F Ye, J Manotumruksa, Q Zhang, S Li, E Yilmaz
arXiv preprint arXiv:2101.09374, 2021
Learning Dynamic Embeddings for Temporal Knowledge Graphs
S Liao, S Liang, Z Meng, Q Zhang
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
Detecting and Forecasting Misinformation via Temporal and Geometric Propagation Patterns
Q Zhang, J Cook, E Yilmaz
EasyChair, 2021
Replica-exchange Nos\'e-Hoover dynamics for Bayesian learning on large datasets
R Luo, Q Zhang, Y Yang, J Wang
arXiv preprint arXiv:1905.12569, 2019
Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling
Q Zhang, R Luo, Y Yang, Y Liu
1st Symposium on Advances in Approximate Bayesian Inference, 2018 1–6, 2018
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