| 2021 | Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance. | Neil G. Marchant, Benjamin I. P. Rubinstein |
| 2021 | BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment. | Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns |
| 2021 | Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks. | Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang |
| 2021 | Leveraging Latent Features for Local Explanations. | Ronny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Yunfeng Zhang, Karthikeyan Shanmugam, Chun-Chen Tu |
| 2021 | AutoSmart: An Efficient and Automatic Machine Learning Framework for Temporal Relational Data. | Zhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Bohang Zheng |
| 2021 | AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerce. | Xusheng Luo, Le Bo, Jinhang Wu, Lin Li, Zhiy Luo, Yonghua Yang, Keping Yang |
| 2021 | HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks. | Qingqing Long, Lingjun Xu, Zheng Fang, Guojie Song |
| 2021 | Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding. | Zhihan Li, Youjian Zhao, Jiaqi Han, Ya Su, Rui Jiao, Xidao Wen, Dan Pei |
| 2021 | FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data. | Xin-Chun Li, De-Chuan Zhan |
| 2021 | Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. | Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong |
| 2021 | Debiasing Learning based Cross-domain Recommendation. | Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen |
| 2021 | AutoML: A Perspective where Industry Meets Academy. | Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang |
| 2021 | Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability. | Haoran Li, Yang Weng |
| 2021 | Online Additive Quantization. | Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen |
| 2021 | Signed Graph Neural Network with Latent Groups. | Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu |
| 2021 | Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. | Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu |
| 2021 | ControlBurn: Feature Selection by Sparse Forests. | Brian Liu, Miaolan Xie, Madeleine Udell |
| 2021 | Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework. | Shuncheng Liu, Han Su, Yan Zhao, Kai Zeng, Kai Zheng |
| 2021 | Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. | Can Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He, Hao Yang |
| 2021 | Categorization of Financial Transactions in QuickBooks. | Juan Liu, Lei Pei, Ying Sun, Heather Simpson, Jocelyn Lu, Nhung Ho |
| 2021 | Tail-GNN: Tail-Node Graph Neural Networks. | Zemin Liu, Trung-Kien Nguyen, Yuan Fang |
| 2021 | Trustworthy and Powerful Online Marketplace Experimentation with Budget-split Design. | Min Liu, Jialiang Mao, Kang Kang |
| 2021 | Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning. | Zhuo Liu, Yanxuan Li, Xingzhi Sun, Fei Wang, Gang Hu, Guotong Xie |
| 2021 | Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. | Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie |
| 2021 | Pre-trained Language Model for Web-scale Retrieval in Baidu Search. | Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin |