Xian Wu

According to our database, Xian Wu authored at least 19 papers between 2015 and 2022.

Collaborative distances:

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

2022

Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series.

Xian Wu, Chao Huang, Pablo Robles-Granda, Nitesh V. Chawla

ACM Trans. Intell. Syst. Technol., 2022

2021

Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being.

Pablo Robles-Granda, Suwen Lin, Xian Wu, Gonzalo J. Martínez, Stephen M. Mattingly, Edward Moskal, Aaron Striegel, Nitesh V. Chawla, Sidney D'Mello, Julie M. Gregg, Kari Nies, Gloria Mark, Ted Grover, Andrew T. Campbell, Shayan Mirjafari, Koustuv Saha, Munmun De Choudhury, Anind K. Dey

IEEE Comput. Intell. Mag., 2021

motif2vec: Semantic-aware Representation Learning for Wearables' Time Series Data.

Suwen Lin, Xian Wu, Nitesh V. Chawla

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting.

Xian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit.

Xian Wu, Suleyman Cetintas, Deguang Kong, Miao Lu, Jian Yang, Nitesh V. Chawla

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Filling Missing Values on Wearable-Sensory Time Series Data.

Suwen Lin, Xian Wu, Gonzalo J. Martínez, Nitesh V. Chawla

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer.

Xian Wu, Stephen M. Mattingly, Shayan Mirjafari, Chao Huang, Nitesh V. Chawla

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.

Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin

Proceedings of the World Wide Web Conference, 2019

Neural Tensor Factorization for Temporal Interaction Learning.

Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.

Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity.

Chao Huang, Xian Wu, Xuchao Zhang, Suwen Lin, Nitesh V. Chawla

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

Similarity-Aware Network Embedding with Self-Paced Learning.

Chao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla

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

2018

Neural Tensor Factorization.

Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla

CoRR, 2018

Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM Networks.

Xian Wu, Yuxiao Dong, Baoxu Shi, Ananthram Swami, Nitesh V. Chawla

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

RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data.

Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Louis Faust, Nitesh V. Chawla

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

UAPD: Predicting Urban Anomalies from Spatial-Temporal Data.

Xian Wu, Yuxiao Dong, Chao Huang, Jian Xu, Dong Wang, Nitesh V. Chawla

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Reliable fake review detection via modeling temporal and behavioral patterns.

Xian Wu, Yuxiao Dong, Jun Tao, Chao Huang, Nitesh V. Chawla

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Crowdsourcing-based Urban Anomaly Prediction System for Smart Cities.

Chao Huang, Xian Wu, Dong Wang

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

2015

Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline.

Keith Feldman, Louis Faust, Xian Wu, Chao Huang, Nitesh V. Chawla

Proceedings of the Towards Integrative Machine Learning and Knowledge Extraction, 2015