| 2022 | When Should We Use Linear Explanations? | Julien Delaunay, Luis Galrraga, Christine Largout |
| 2022 | OpeNTF: A Benchmark Library for Neural Team Formation. | Arman Dashti, Karan Saxena, Dhwani Patel, Hossein Fani |
| 2022 | Effective Neural Team Formation via Negative Samples. | Arman Dashti, Saeed Samet, Hossein Fani |
| 2022 | LCD: Adaptive Label Correction for Denoising Music Recommendation. | Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang |
| 2022 | Scaling Up Maximal | Qiangqiang Dai, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang |
| 2022 | Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. | Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu |
| 2022 | On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. | Hejie Cui, Zijie Lu, Pan Li, Carl Yang |
| 2022 | Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information. | Jian Cui, Kwanwoo Kim, Seung Ho Na, Seungwon Shin |
| 2022 | AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution. | Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste |
| 2022 | HITL IRL: 12 Reflections on Expertise Finding and Engagement for a Large Data Curation Team. | Brendan Coon |
| 2022 | A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. | Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli |
| 2022 | An Empirical Study on How People Perceive AI-generated Music. | Hyeshin Chu, Joohee Kim, Seongouk Kim, Hongkyu Lim, Hyunwook Lee, Seungmin Jin, Jongeun Lee, Taehwan Kim, Sungahn Ko |
| 2022 | Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. | Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton |
| 2022 | Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act. | Ben Chugg, Nicolas Rothbacher, Alex Feng, Xiaoqi Long, Daniel E. Ho |
| 2022 | Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. | Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li |
| 2022 | SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval. | Eunseong Choi, Sunkyung Lee, Minjin Choi, Hyeseon Ko, Young-In Song, Jongwuk Lee |
| 2022 | Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation. | Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim |
| 2022 | Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification. | Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim |
| 2022 | Task Publication Time Recommendation in Spatial Crowdsourcing. | Xuanlei Chen, Yan Zhao, Kai Zheng |
| 2022 | Towards Self-supervised Learning on Graphs with Heterophily. | Jingfan Chen, Guanghui Zhu, Yifan Qi, Chunfeng Yuan, Yihua Huang |
| 2022 | Discriminative Language Model via Self-Teaching for Dense Retrieval. | Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng |
| 2022 | Learning to Generalize in Heterogeneous Federated Networks. | Cen Chen, Tiandi Ye, Li Wang, Ming Gao |
| 2022 | User Recommendation in Social Metaverse with VR. | Bing-Jyue Chen, De-Nian Yang |
| 2022 | Hierarchically Constrained Adaptive Ad Exposure in Feeds. | Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng |