| 2021 | 3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. | Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang |
| 2021 | Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. | Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao |
| 2021 | Popularity Bias in Dynamic Recommendation. | Ziwei Zhu, Yun He, Xing Zhao, James Caverlee |
| 2021 | Maximizing Influence of Leaders in Social Networks. | Xiaotian Zhou, Zhongzhi Zhang |
| 2021 | DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. | Xun Zhou, Liang Zhao, Zhe Jiang, Robert N. Stewart, Shashi Shekhar, Jieping Ye |
| 2021 | PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. | Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Krpeoglu, Kannan Achan, Jingrui He |
| 2021 | Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems. | Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang |
| 2021 | Table2Charts: Recommending Charts by Learning Shared Table Representations. | Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang, Dongmei Zhang |
| 2021 | S-LIME: Stabilized-LIME for Model Explanation. | Zhengze Zhou, Giles Hooker, Fei Wang |
| 2021 | An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions. | Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores |
| 2021 | Towards Fair Federated Learning. | Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang |
| 2021 | Modeling Context-aware Features for Cognitive Diagnosis in Student Learning. | Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma |
| 2021 | Triplet Attention: Rethinking the Similarity in Transformers. | Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang |
| 2021 | Quantifying Assimilate-Contrast Effects in Online Rating Systems: Modeling, Analysis and Application. | Mingze Zhong, Hong Xie, Qingsheng Zhu |
| 2021 | Accelerating Set Intersections over Graphs by Reducing-Merging. | Weiguo Zheng, Yifan Yang, Chengzhi Piao |
| 2021 | Knowledge is Power: Hierarchical-Knowledge Embedded Meta-Learning for Visual Reasoning in Artistic Domains. | Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang |
| 2021 | Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction. | Yu Zheng, Yongxin Yang, Bowei Chen |
| 2021 | Multi-Objective Recommendations. | Yong Zheng, David (Xuejun) Wang |
| 2021 | Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation. | Jiawei Zheng, Qianli Ma, Hao Gu, Zhenjing Zheng |
| 2021 | Overview of the 1st Workshop on City Brain Research. | Guanjie Zheng, Porter Jenkins, Yanyan Xu, Dongyao Chen |
| 2021 | Causal Inference from Network Data. | Elena Zheleva, David Arbour |
| 2021 | Cluster-Reduce: Compressing Sketches for Distributed Data Streams. | Yikai Zhao, Zheng Zhong, Yuanpeng Li, Yi Zhou, Yifan Zhu, Li Chen, Yi Wang, Tong Yang |
| 2021 | Multi-graph Multi-label Learning with Dual-granularity Labeling. | Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Chengqi Zhang |
| 2021 | Temporal Biased Streaming Submodular Optimization. | Junzhou Zhao, Pinghui Wang, Chao Deng, Jing Tao |
| 2021 | DHS: Adaptive Memory Layout Organization of Sketch Slots for Fast and Accurate Data Stream Processing. | Bohan Zhao, Xiang Li, Boyu Tian, Zhiyu Mei, Wenfei Wu |