Nitesh V. Chawla


2008

doi dblp
Predicting individual disease risk based on medical history
Darcy A. Davis | Nitesh V. Chawla | Nicholas Blumm | Nicholas A. Christakis | Albert-László Barabási
Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008

2012

doi dblp
When will it happen?: relationship prediction in heterogeneous information networks
Yizhou Sun | Jiawei Han | Charu C. Aggarwal | Nitesh V. Chawla
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, WSDM 2012, Seattle, WA, USA, February 8-12, 2012

doi dblp
Vertex collocation profiles: subgraph counting for link analysis and prediction
Ryan Lichtenwalter | Nitesh V. Chawla
Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012

2013

doi dblp
Reliable medical recommendation systems with patient privacy
T. Ryan Hoens | Marina Blanton | Aaron Steele | Nitesh V. Chawla
2013 Volume 4 Issue 4

2015

doi dblp
Will This Paper Increase Your h-index?: Scientific Impact Prediction
Yuxiao Dong | Reid A. Johnson | Nitesh V. Chawla
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015

2017

doi dblp
MOOC Dropout Prediction: Lessons Learned from Making Pipelines Interpretable
Saurabh Nagrecha | John Z. Dillon | Nitesh V. Chawla
Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017

doi dblp
User Modeling on Demographic Attributes in Big Mobile Social Networks
Yuxiao Dong | Nitesh V. Chawla | Jie Tang | Yang Yang | Yang Yang
2017 Volume 35 Issue 4

2018

doi dblp
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, CIKM 2018, Torino, Italy, October 22-26, 2018

doi dblp
DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction
Chao Huang | Junbo Zhang | Yu Zheng | Nitesh V. Chawla
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

doi dblp
Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification
Chuxu Zhang | Chao Huang | Lu Yu | Xiangliang Zhang | Nitesh V. Chawla
Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018

2019

doi dblp
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, CIKM 2019, Beijing, China, November 3-7, 2019

doi dblp
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, CIKM 2019, Beijing, China, November 3-7, 2019

doi dblp
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, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

doi dblp
SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks
Chuxu Zhang | Ananthram Swami | Nitesh V. Chawla
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

doi dblp
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
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2020

doi dblp
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction
Zhichun Guo | Wenhao Yu | Chuxu Zhang | Meng Jiang | Nitesh V. Chawla
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

doi dblp
Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer
Xian Wu | Stephen M. Mattingly | Shayan Mirjafari | Chao Huang | Nitesh V. Chawla
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

doi dblp
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
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

doi dblp
Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting
Xian Wu | Chao Huang | Chuxu Zhang | Nitesh V. Chawla
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2021

doi dblp
Recipe Representation Learning with Networks
Yijun Tian | Chuxu Zhang | Ronald A. Metoyer | Nitesh V. Chawla
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo | Chuxu Zhang | Wenhao Yu | John Herr | Olaf Wiest | Meng Jiang | Nitesh V. Chawla
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

doi dblp
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding
Daheng Wang | Qingkai Zeng | Nitesh V. Chawla | Meng Jiang
2021 Volume 12 Issue 4

doi dblp
Inductive Contextual Relation Learning for Personalization
Chuxu Zhang | Huaxiu Yao | Lu Yu | Chao Huang | Dongjin Song | Haifeng Chen | Meng Jiang | Nitesh V. Chawla
2021 Volume 39 Issue 3