| 2022 | Gradual AutoML using Lale. | Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar, Jason Tsay |
| 2022 | Core-periphery Partitioning and Quantum Annealing. | Catherine F. Higham, Desmond J. Higham, Francesco Tudisco |
| 2022 | Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation. | Huarui He, Jie Wang, Zhanqiu Zhang, Feng Wu |
| 2022 | Partial Label Learning with Semantic Label Representations. | Shuo He, Lei Feng, Fengmao Lv, Wen Li, Guowu Yang |
| 2022 | Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning. | Weijie He, Ting Chen |
| 2022 | Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. | Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou |
| 2022 | Three-Stage Root Cause Analysis for Logistics Time Efficiency via Explainable Machine Learning. | Shiqi Hao, Yang Liu, Yu Wang, Yuan Wang, Wenming Zhe |
| 2022 | Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact Network. | Qianyue Hao, Wenzhen Huang, Fengli Xu, Kun Tang, Yong Li |
| 2022 | Streaming Hierarchical Clustering Based on Point-Set Kernel. | Xin Han, Ye Zhu, Kai Ming Ting, De-Chuan Zhan, Gang Li |
| 2022 | Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series. | Siho Han, Simon S. Woo |
| 2022 | Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction. | Liangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, Hui Xiong |
| 2022 | Real-Time Rideshare Driver Supply Values Using Online Reinforcement Learning. | Benjamin Han, Hyungjun Lee, Sbastien Martin |
| 2022 | Connecting Low-Loss Subspace for Personalized Federated Learning. | Seok-Ju Hahn, Minwoo Jeong, Junghye Lee |
| 2022 | 1st Workshop on End-End Customer Journey Optimization. | Neha Gupta, Zhenyu Zhao, Mert Bay, Anbang Xu, Faisal Farooq |
| 2022 | BLISS: A Billion scale Index using Iterative Re-partitioning. | Gaurav Gupta, Tharun Medini, Anshumali Shrivastava, Alexander J. Smola |
| 2022 | Large-Scale Information Extraction under Privacy-Aware Constraints. | Rajeev Gupta, Ranganath Kondapally |
| 2022 | ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences. | Vinayak Gupta, Srikanta Bedathur |
| 2022 | Subset Node Anomaly Tracking over Large Dynamic Graphs. | Xingzhi Guo, Baojian Zhou, Steven Skiena |
| 2022 | Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning. | Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong |
| 2022 | Workshop on Applied Machine Learning Management. | Dmitri Goldenberg, Elena Sokolova, Shir Meir Lador, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain |
| 2022 | Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. | Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar |
| 2022 | PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions. | Ehsan Gholami, Mohammad Motamedi, Ashwin Aravindakshan |
| 2022 | The Power of (Statistical) Relational Thinking. | Lise Getoor |
| 2022 | Disentangled Ontology Embedding for Zero-shot Learning. | Yuxia Geng, Jiaoyan Chen, Wen Zhang, Yajing Xu, Zhuo Chen, Jeff Z. Pan, Yufeng Huang, Feiyu Xiong, Huajun Chen |
| 2022 | Applying Deep Learning Based Probabilistic Forecasting to Food Preparation Time for On-Demand Delivery Service. | Chengliang Gao, Fan Zhang, Yue Zhou, Ronggen Feng, Qiang Ru, Kaigui Bian, Renqing He, Zhizhao Sun |