| 2019 | Towards More Usable Dataset Search: From Query Characterization to Snippet Generation. | Jinchi Chen, Xiaxia Wang, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu |
| 2019 | Query Embedding Learning for Context-based Social Search. | Yi-Chun Chen, Yu-Che Tsai, Cheng-Te Li |
| 2019 | Fast and Accurate Network Embeddings via Very Sparse Random Projection. | Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena |
| 2019 | Attention-Residual Network with CNN for Rumor Detection. | Yixuan Chen, Jie Sui, Liang Hu, Wei Gong |
| 2019 | TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search Sessions. | Jia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2019 | Knowledge-aware Textual Entailment with Graph Attention Network. | Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen |
| 2019 | Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification. | Shiyun Chen, Xin Lin, Yanghua Xiao, Liang He |
| 2019 | Cost-effective Resource Provisioning for Spark Workloads. | Yuxing Chen, Jiaheng Lu, Chen Chen, Mohammad Ashraful Hoque, Sasu Tarkoma |
| 2019 | Data Poisoning Attacks on Cross-domain Recommendation. | Huiyuan Chen, Jing Li |
| 2019 | Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. | Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai |
| 2019 | A Dynamic Default Prediction Framework for Networked-guarantee Loans. | Dawei Cheng, Yiyi Zhang, Fangzhou Yang, Yi Tu, Zhibin Niu, Liqing Zhang |
| 2019 | DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. | Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu |
| 2019 | Deploying Hash Tables on Die-Stacked High Bandwidth Memory. | Xuntao Cheng, Bingsheng He, Eric Lo, Wei Wang, Shengliang Lu, Xinyu Chen |
| 2019 | EYRE 2019: 2nd International Workshop on EntitY REtrieval. | Gong Cheng, Kalpa Gunaratna, Jun Wang |
| 2019 | A Dynamic Co-attention Network for Session-based Recommendation. | Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2019 | Correcting for Recency Bias in Job Recommendation. | Ruey-Cheng Chen, Qingyao Ai, Gaya Jayasinghe, W. Bruce Croft |
| 2019 | Recommendation for Multi-stakeholders and through Neural Review Mining. | Muthusamy Chelliah, Yong Zheng, Sudeshna Sarkar |
| 2019 | Leveraging Graph Neighborhoods for Efficient Inference. | Melisachew Wudage Chekol, Heiner Stuckenschmidt |
| 2019 | Adaptive Algorithms for Estimating Betweenness and | Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem |
| 2019 | CATRES: a Context-Aware Recommender System for Indoor and Outdoor Museums Tours Planning. | Roberta Capuano, Henry Muccini, Fabrizio Rossi |
| 2019 | Adversarial Domain Adaptation with Semantic Consistency for Cross-Domain Image Classification. | Manliang Cao, Xiangdong Zhou, Yiming Xu, Yue Pang, Bo Yao |
| 2019 | HiCAN: Hierarchical Convolutional Attention Network for Sequence Modeling. | Yi Cao, Weifeng Zhang, Bo Song, Congfu Xu |
| 2019 | BeLink: Querying Networks of Facts, Statements and Beliefs. | Tien Duc Cao, Ludivine Duroyon, Franois Goasdou, Ioana Manolescu, Xavier Tannier |
| 2019 | Nested Relation Extraction with Iterative Neural Network. | Yixuan Cao, Dian Chen, Hongwei Li, Ping Luo |
| 2019 | Adversarial Training of Gradient-Boosted Decision Trees. | Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei |