| 2021 | 2nd International Workshop on Industrial Recommendation Systems (IRS). | Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu |
| 2021 | Towards the D-Optimal Online Experiment Design for Recommender Selection. | Da Xu, Chuanwei Ruan, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2021 | PLP 2021: Workshop on Programming Language Processing. | Chang Xu, Siqi Ma, David Lo |
| 2021 | Adversarial Robustness in Deep Learning: From Practices to Theories. | Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang |
| 2021 | Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent. | Depeng Xu, Wei Du, Xintao Wu |
| 2021 | PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma. | Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Kenji Yamanishi |
| 2021 | NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. | Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu |
| 2021 | Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference. | Jianing Xi, Liping Ye, Qinghua Huang, Xuelong Li |
| 2021 | Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment. | Hao Xiong, Junchi Yan, Li Pan |
| 2021 | Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value. | Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He |
| 2021 | FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. | Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Grel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou |
| 2021 | Partial Multi-Label Learning with Meta Disambiguation. | Ming-Kun Xie, Feng Sun, Sheng-Jun Huang |
| 2021 | Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. | Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen |
| 2021 | Medical Entity Relation Verification with Large-scale Machine Reading Comprehension. | Yuan Xia, Chunyu Wang, Zhenhui Shi, Jingbo Zhou, Chao Lu, Haifeng Huang, Hui Xiong |
| 2021 | DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction. | Fengtong Xiao, Lin Li, Weinan Xu, Jingyu Zhao, Xiaofeng Yang, Jun Lang, Hao Wang |
| 2021 | Learning How to Propagate Messages in Graph Neural Networks. | Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang |
| 2021 | EXACTA: Explainable Column Annotation. | Yikun Xian, Handong Zhao, Tak Yeon Lee, Sungchul Kim, Ryan A. Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan |
| 2021 | Forecasting Interaction Order on Temporal Graphs. | Wenwen Xia, Yuchen Li, Jianwei Tian, Shenghong Li |
| 2021 | Geometric Graph Representation Learning on Protein Structure Prediction. | Tian Xia, Wei-Shinn Ku |
| 2021 | Representation Learning for Predicting Customer Orders. | Tongwen Wu, Yu Yang, Yanzhi Li, Huiqiang Mao, Liming Li, Xiaoqing Wang, Yuming Deng |
| 2021 | The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). | Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo |
| 2021 | MapEmbed: Perfect Hashing with High Load Factor and Fast Update. | Yuhan Wu, Zirui Liu, Xiang Yu, Jie Gui, Haochen Gan, Yuhao Han, Tao Li, Ori Rottenstreich, Tong Yang |
| 2021 | Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. | Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen |
| 2021 | Indirect Invisible Poisoning Attacks on Domain Adaptation. | Jun Wu, Jingrui He |
| 2021 | Quantifying Uncertainty in Deep Spatiotemporal Forecasting. | Dongxia Wu, Liyao Gao, Matteo Chinazzi, Xinyue Xiong, Alessandro Vespignani, Yi-An Ma, Rose Yu |