| 2022 | Sampling Multiple Nodes in Large Networks: Beyond Random Walks. | Omri Ben-Eliezer, Talya Eden, Joel Oren, Dimitris Fotakis |
| 2022 | Harvesting More Answer Spans from Paragraph beyond Annotation. | Qiaoben Bao, Jiangjie Chen, Linfang Liu, Jingping Liu, Jiaqing Liang, Yanghua Xiao |
| 2022 | Ethical Challenges in AI. | Ricardo Baeza-Yates |
| 2022 | k-Clustering with Fair Outliers. | Matteo Almanza, Alessandro Epasto, Alessandro Panconesi, Giuseppe Re |
| 2022 | MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. | Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han |
| 2022 | Sentiment Analysis of Fashion Related Posts in Social Media. | Yifei Yuan, Wai Lam |
| 2022 | Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. | Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei |
| 2022 | CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction. | Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang |
| 2022 | Translating Human Mobility Forecasting through Natural Language Generation. | Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke |
| 2022 | How Do You Test a Test?: A Multifaceted Examination of Significance Tests. | Nicola Ferro, Mark Sanderson |
| 2022 | Wikipedia Reader Navigation: When Synthetic Data Is Enough. | Akhil Arora, Martin Gerlach, Tiziano Piccardi, Alberto Garca-Durn, Robert West |
| 2022 | Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. | Jiaqi Ma, Junwei Deng, Qiaozhu Mei |
| 2022 | Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. | Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King |
| 2021 | Interpretable Ranking with Generalized Additive Models. | Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian |
| 2021 | Popularity-Opportunity Bias in Collaborative Filtering. | Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee |
| 2021 | Explore next destination prediction. | Yuanzhe Zhou, Shikang Wu, Chenyang Zheng |
| 2021 | Scalable Graph Neural Networks with Deep Graph Library. | Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis |
| 2021 | GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. | Tianxiang Zhao, Xiang Zhang, Suhang Wang |
| 2021 | Towards Scalable Spectral Embedding and Data Visualization via Spectral Coarsening. | Zhiqiang Zhao, Ying Zhang, Zhuo Feng |
| 2021 | WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19. | Yuan Zhang, Xiaoqing Zhang, Yichuan Hu, Guanchun Wang, Rui Yan |
| 2021 | The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021). | Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong |
| 2021 | Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce. | Junhao Zhang, Weidi Xu, Jianhui Ji, Xi Chen, Hongbo Deng, Keping Yang |
| 2021 | Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. | Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen |
| 2021 | Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. | Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai |
| 2021 | Learning User Representations with Hypercuboids for Recommender Systems. | Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou |