Xian Wu - RankMe

22 papers A* 4A 8B 1Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series. ACM Trans. Intell. Syst. Technol. Xian Wu, Chao Huang, Pablo Robles-Granda, Nitesh V. Chawla
2021	J	`jnl`	Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being. IEEE Comput. Intell. Mag. 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
2021	B	`conf`	motif2vec: Semantic-aware Representation Learning for Wearables' Time Series Data. DSAA Suwen Lin, Xian Wu, Nitesh V. Chawla
2020	A	`conf`	Filling Missing Values on Wearable-Sensory Time Series Data. SDM Suwen Lin, Xian Wu, Gonzalo J. Martínez, Nitesh V. Chawla
2020	A*	`conf`	Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting. WWW Xian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla
2020	J	`jnl`	Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being. CoRR Pablo Robles-Granda, Suwen Lin, Xian Wu, Sidney D'Mello, Gonzalo J. Martínez, Koustuv Saha, Kari Nies, Gloria Mark, Andrew T. Campbell, Munmun De Choudhury, Anind K. Dey, Julie M. Gregg, Ted Grover, Stephen M. Mattingly, Shayan Mirjafari, Edward Moskal, Aaron Striegel, Nitesh V. Chawla
2020	A*	`conf`	Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit. WWW Xian Wu, Suleyman Cetintas, Deguang Kong, Miao Lu, Jian Yang, Nitesh V. Chawla
2020	A	`conf`	Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer. CIKM Xian Wu, Stephen M. Mattingly, Shayan Mirjafari, Chao Huang, Nitesh V. Chawla
2020	J	`jnl`	Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series. CoRR Xian Wu, Chao Huang, Pablo Robles-Granda, Nitesh V. Chawla
2019	A	`conf`	Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity. CIKM Chao Huang, Xian Wu, Xuchao Zhang, Suwen Lin, Nitesh V. Chawla
2019	A*	`conf`	MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. WWW Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin
2019	A	`conf`	Neural Tensor Factorization for Temporal Interaction Learning. WSDM Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla
2019	A*	`conf`	Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. KDD Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla
2019	A	`conf`	Similarity-Aware Network Embedding with Self-Paced Learning. CIKM Chao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla
2018	J	`jnl`	Neural Tensor Factorization. CoRR Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla
2018	A	`conf`	RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data. CIKM Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Louis Faust, Nitesh V. Chawla
2018	A	`conf`	Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM Networks. SDM Xian Wu, Yuxiao Dong, Baoxu Shi, Ananthram Swami, Nitesh V. Chawla
2017	J	`jnl`	Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline. CoRR Keith Feldman, Louis Faust, Xian Wu, Chao Huang, Nitesh V. Chawla
2017	—	`conf`	Reliable fake review detection via modeling temporal and behavioral patterns. IEEE BigData Xian Wu, Yuxiao Dong, Jun Tao, Chao Huang, Nitesh V. Chawla
2017	—	`conf`	UAPD: Predicting Urban Anomalies from Spatial-Temporal Data. ECML/PKDD (2) Xian Wu, Yuxiao Dong, Chao Huang, Jian Xu, Dong Wang, Nitesh V. Chawla
2016	A	`conf`	Crowdsourcing-based Urban Anomaly Prediction System for Smart Cities. CIKM Chao Huang, Xian Wu, Dong Wang
2015	—	`conf`	Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline. BIRS-IMLKE Keith Feldman, Louis Faust, Xian Wu, Chao Huang, Nitesh V. Chawla