| 2018 | First Workshop on Knowledge Base Construction, Mining and Reasoning. | Xiang Ren, Craig A. Knoblock, William Yang Wang, Yu Su |
| 2018 | Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests. | Suhas Ranganath, Ghazaleh Beigi, Huan Liu |
| 2018 | Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. | Meng Qu, Jian Tang, Jiawei Han |
| 2018 | Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. | Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang |
| 2018 | Engagement and Incentives in Online Community: Observational Data, Prediction Models, and Field Experiments. | Jiezhong Qiu |
| 2018 | DSANLS: Accelerating Distributed Nonnegative Matrix Factorization via Sketching. | Yuqiu Qian, Conghui Tan, Nikos Mamoulis, David W. Cheung |
| 2018 | Mining Knowledge Graphs From Text. | Jay Pujara, Sameer Singh |
| 2018 | Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation. | Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma |
| 2018 | Learning to Discover Domain-Specific Web Content. | Kien Pham, Acio S. R. Santos, Juliana Freire |
| 2018 | Conversations, Machine Learning and Privacy: LinkedIn's Path Towards Transforming Interaction with Its Members. | Igor Perisic |
| 2018 | Athlytics: Winning in Sports with Data. | Konstantinos Pelechrinis, Evangelos E. Papalexakis |
| 2018 | Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution. | Judea Pearl |
| 2018 | A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. | Alexandra Olteanu, Emre Kiciman, Carlos Castillo |
| 2018 | Neural Personalized Ranking for Image Recommendation. | Wei Niu, James Caverlee, Haokai Lu |
| 2018 | Beyond Who and What: Data Driven Approaches for User Characterization. | Aastha Nigam |
| 2018 | Fusing Diversity in Recommendations in Heterogeneous Information Networks. | Sharad Nandanwar, Aayush Moroney, M. Narasimha Murty |
| 2018 | Index Compression Using Byte-Aligned ANS Coding and Two-Dimensional Contexts. | Alistair Moffat, Matthias Petri |
| 2018 | LearnIR: WSDM 2018 Workshop on Learning from User Interactions. | Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz |
| 2018 | Event Mining over Distributed Text Streams. | John Calvo Martinez |
| 2018 | Query Driven Algorithm Selection in Early Stage Retrieval. | Joel M. Mackenzie, J. Shane Culpepper, Roi Blanco, Matt Crane, Charles L. A. Clarke, Jimmy Lin |
| 2018 | Inferring Dockless Shared Bike Distribution in New Cities. | Zhaoyang Liu, Yanyan Shen, Yanmin Zhu |
| 2018 | Network Science of Teams: Characterization, Prediction, and Optimization. | Liangyue Li, Hanghang Tong |
| 2018 | The 5th International Workshop on Social Web for Disaster Management(SWDM'18): Collective Sensing, Trust, and Resilience in Global Crises. | Yu-Ru Lin, Carlos Castillo, Jie Yin |
| 2018 | Bayesian Optimization for Optimizing Retrieval Systems. | Dan Li, Evangelos Kanoulas |
| 2018 | Streaming Link Prediction on Dynamic Attributed Networks. | Jundong Li, Kewei Cheng, Liang Wu, Huan Liu |