| 2023 | DeMEtRIS: Counting (near)-Cliques by Crawling. | Suman K. Bera, Jayesh Choudhari, Shahrzad Haddadan, Sara Ahmadian |
| 2023 | Incorporating Fairness in Large Scale NLU Systems. | Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan |
| 2023 | Recent Advances on Deep Learning based Knowledge Tracing. | Zitao Liu, Jiahao Chen, Weiqi Luo |
| 2022 | Improving Session Search by Modeling Multi-Granularity Historical Query Change. | Xiaochen Zuo, Zhicheng Dou, Ji-Rong Wen |
| 2022 | DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning. | Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen |
| 2022 | Personalized Transfer of User Preferences for Cross-domain Recommendation. | Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He |
| 2022 | A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion. | Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao, Weisi Han |
| 2022 | Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning. | Ziwei Zhu, James Caverlee |
| 2022 | C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. | Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu |
| 2022 | AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss. | Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu |
| 2022 | Learning Transferable Node Representations for Attribute Extraction from Web Documents. | Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata |
| 2022 | Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network. | Kai Zhao, Yukun Zheng, Tao Zhuang, Xiang Li, Xiaoyi Zeng |
| 2022 | Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning. | Xiaoyun Zhao, Ning Yang, Philip S. Yu |
| 2022 | Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features. | Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang |
| 2022 | ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction. | Liang Zhao, Min Gao, Zongwei Wang |
| 2022 | Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2022 | A Counterfactual Modeling Framework for Churn Prediction. | Guozhen Zhang, Jinwei Zeng, Zhengyue Zhao, Depeng Jin, Yong Li |
| 2022 | PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. | Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui |
| 2022 | GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning. | Minjia Zhang, Wenhan Wang, Yuxiong He |
| 2022 | A GNN-based Multi-task Learning Framework for Personalized Video Search. | Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu |
| 2022 | Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-Encoders. | Juntao Zhang, Nanzhou Lin, Xuelong Zhang, Wei Song, Xiandi Yang, Zhiyong Peng |
| 2022 | Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. | Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng |
| 2022 | Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. | Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao |
| 2022 | ESC-GAN: Extending Spatial Coverage of Physical Sensors. | Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong |
| 2022 | PrivacyCheck v3: Empowering Users with Higher-Level Understanding of Privacy Policies. | Razieh Nokhbeh Zaeem, Ahmad Ahbab, Josh Bestor, Hussam H. Djadi, Sunny Kharel, Victor Lai, Nick Wang, K. Suzanne Barber |