Xian Wu
Xian Wu
University of Notre Dame, Pinterest
Verified email at
Cited by
Cited by
Mist: A multiview and multimodal spatial-temporal learning framework for citywide abnormal event forecasting
C Huang, C Zhang, J Zhao, X Wu, D Yin, N Chawla
The world wide web conference, 717-728, 2019
Automated relational meta-learning
H Yao, X Wu, Z Tao, Y Li, B Ding, R Li, Z Li
arXiv preprint arXiv:2001.00745, 2020
Online purchase prediction via multi-scale modeling of behavior dynamics
C Huang, X Wu, X Zhang, C Zhang, J Zhao, D Yin, NV Chawla
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
Neural tensor factorization for temporal interaction learning
X Wu, B Shi, Y Dong, C Huang, NV Chawla
Proceedings of the Twelfth ACM international conference on web search and …, 2019
Restful: Resolution-aware forecasting of behavioral time series data
X Wu, B Shi, Y Dong, C Huang, L Faust, NV Chawla
Proceedings of the 27th ACM International Conference on Information and …, 2018
Hierarchically structured transformer networks for fine-grained spatial event forecasting
X Wu, C Huang, C Zhang, NV Chawla
Proceedings of the web conference 2020, 2320-2330, 2020
Crowdsourcing-based urban anomaly prediction system for smart cities
C Huang, X Wu, D Wang
Proceedings of the 25th ACM international on conference on information and …, 2016
Click feedback-aware query recommendation using adversarial examples
R Li, L Li, X Wu, Y Zhou, W Wang
The World Wide Web Conference, 2978-2984, 2019
Few-shot learning for new user recommendation in location-based social networks
R Li, X Wu, X Wu, W Wang
Proceedings of The Web Conference 2020, 2472-2478, 2020
Uapd: Predicting urban anomalies from spatial-temporal data
X Wu, Y Dong, C Huang, J Xu, D Wang, NV Chawla
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
Jointly predicting job performance, personality, cognitive ability, affect, and well-being
P Robles-Granda, S Lin, X Wu, GJ Martinez, SM Mattingly, E Moskal, ...
IEEE Computational Intelligence Magazine 16 (2), 46-61, 2021
Filling missing values on wearable-sensory time series data
S Lin, X Wu, G Martinez, NV Chawla
Proceedings of the 2020 SIAM International Conference on Data Mining, 46-54, 2020
Reliable fake review detection via modeling temporal and behavioral patterns
X Wu, Y Dong, J Tao, C Huang, NV Chawla
2017 IEEE International Conference on Big Data (Big Data), 494-499, 2017
Adversarial learning to compare: Self-attentive prospective customer recommendation in location based social networks
R Li, X Wu, W Wang
Proceedings of the 13th International Conference on Web Search and Data …, 2020
Neural tensor factorization
X Wu, B Shi, Y Dong, C Huang, N Chawla
arXiv preprint arXiv:1802.04416, 2018
Who will attend this event together? Event attendance prediction via deep LSTM networks
X Wu, Y Dong, B Shi, A Swami, NV Chawla
Proceedings of the 2018 SIAM International Conference on Data Mining, 180-188, 2018
Self-paced robust learning for leveraging clean labels in noisy data
X Zhang, X Wu, F Chen, L Zhao, CT Lu
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6853-6860, 2020
Deep prototypical networks for imbalanced time series classification under data scarcity
C Huang, X Wu, X Zhang, S Lin, NV Chawla
Proceedings of the 28th ACM international conference on information and …, 2019
Bridging mixture density networks with meta-learning for automatic speaker identification
R Li, JY Jiang, X Wu, H Mao, CC Hsieh, W Wang
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Personalized imputation on wearable-sensory time series via knowledge transfer
X Wu, S Mattingly, S Mirjafari, C Huang, NV Chawla
Proceedings of the 29th ACM International Conference on Information …, 2020
The system can't perform the operation now. Try again later.
Articles 1–20