| 2022 | Multi-View Clustering for Open Knowledge Base Canonicalization. | Wei Shen, Yang Yang, Yinan Liu |
| 2022 | ML4S: Learning Causal Skeleton from Vicinal Graphs. | Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang |
| 2022 | RetroGraph: Retrosynthetic Planning with Graph Search. | Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin |
| 2022 | Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning. | Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu |
| 2022 | Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. | Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong |
| 2022 | Automatic Controllable Product Copywriting for E-Commerce. | Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu |
| 2022 | SOS: Score-based Oversampling for Tabular Data. | Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho |
| 2022 | CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. | Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang |
| 2022 | DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. | Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye |
| 2022 | Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty. | Christopher Tran, Elena Zheleva |
| 2022 | Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms. | Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang |
| 2022 | New Frontiers of Scientific Text Mining: Tasks, Data, and Tools. | Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han |
| 2022 | Automated Machine Learning & Tuning with FLAML. | Chi Wang, Qingyun Wu, Xueqing Liu, Luis Quintanilla |
| 2022 | 21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022). | Da Yan, Catia Pesquita, Carsten Grg, Jake Y. Chen, Mohammed J. Zaki |
| 2022 | Why Data Scientists Prefer Glassbox Machine Learning: Algorithms, Differential Privacy, Editing and Bias Mitigation. | Rich Caruana, Harsha Nori |
| 2022 | International Workshop on Data-driven Science of Science. | Yi Bu, Meijun Liu, Yujia Zhai, Ying Ding, Feng Xia, Daniel E. Acua, Yi Zhang |
| 2022 | Integrity Authentication in Tree Models. | Weijie Zhao, Yingjie Lao, Ping Li |
| 2022 | HICF: Hyperbolic Informative Collaborative Filtering. | Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King |
| 2022 | Adapting Pretrained Representations for Text Mining. | Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2022 | Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. | Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King |
| 2022 | Estimating Individualized Causal Effect with Confounded Instruments. | Haotian Wang, Wenjing Yang, Longqi Yang, Anpeng Wu, Liyang Xu, Jing Ren, Fei Wu, Kun Kuang |
| 2021 | TDGIA: Effective Injection Attacks on Graph Neural Networks. | Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang |
| 2021 | Pre-trained Language Model based Ranking in Baidu Search. | Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin |
| 2021 | Controllable Generation from Pre-trained Language Models via Inverse Prompting. | Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang |
| 2021 | The Third International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD2021): Joint Workshop with SIGKDD 2021 Trust Day. | Feida Zhu, Jian Pei |