| 2022 | FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. | Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun |
| 2022 | Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems. | Minseok Kim, Jinoh Oh, Jaeyoung Do, Sungjin Lee |
| 2022 | MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation. | Taeri Kim, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim |
| 2022 | STL-DP: Differentially Private Time Series Exploring Decomposition and Compression Methods. | Kyunghee Kim, Minha Kim, Simon S. Woo |
| 2022 | Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation. | Taeho Kim, Yungi Kim, Yeon-Chang Lee, Won-Yong Shin, Sang-Wook Kim |
| 2022 | Models and Benchmarks for Representation Learning of Partially Observed Subgraphs. | Dongkwan Kim, Jiho Jin, Jaimeen Ahn, Alice Oh |
| 2022 | SWAG-Net: Semantic Word-Aware Graph Network for Temporal Video Grounding. | Sunoh Kim, Taegil Ha, Kimin Yun, Jin Young Choi |
| 2022 | Context-aware Traffic Flow Forecasting in New Roads. | Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park |
| 2022 | Residual Correction in Real-Time Traffic Forecasting. | Daejin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo |
| 2022 | Bootstrapped Knowledge Graph Embedding based on Neighbor Expansion. | Jun Seon Kim, Seong-Jin Ahn, Myoung Ho Kim |
| 2022 | Mining Entry Gates for Points of Interest. | Tanya Khanna, Abhinav Ganesan, Jose Mathew, Kranthi Mitra Adusimilli |
| 2022 | Convolutional Transformer Networks for Epileptic Seizure Detection. | Nan Ke, Tong Lin, Zhouchen Lin, Xiao-Hua Zhou, Taoyun Ji |
| 2022 | Building Next Best Action Engines for B2C and B2B Use Cases. | Ilya Katsov |
| 2022 | Graph Neural Networks For Affective Social Media: A Comprehensive Overview. | Michail Karavokyris, Spyros Sioutas |
| 2022 | RaDaR: A Real-Word Dataset for AI powered Run-time Detection of Cyber-Attacks. | Sareena Karapoola, Nikhilesh Singh, Chester Rebeiro, V. Kamakoti |
| 2022 | Flurry: A Fast Framework for Provenance Graph Generation for Representation Learning. | Maya Kapoor, Joshua Melton, Michael Ridenhour, Thomas Moyer, Siddharth Krishnan |
| 2022 | TrustLOG: The First Workshop on Trustworthy Learning on Graphs. | Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou |
| 2022 | Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs. | Endri Kacupaj, Kuldeep Singh, Maria Maleshkova, Jens Lehmann |
| 2022 | Commonsense Knowledge Base Completion with Relational Graph Attention Network and Pre-trained Language Model. | Jinhao Ju, Deqing Yang, Jingping Liu |
| 2022 | k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality. | Devvrat Joshi, Janvi Thakkar |
| 2022 | Workshop on Proactive and Agent-Supported Information Retrieval (PASIR). | Gareth J. F. Jones, Procheta Sen, Debasis Ganguly, Emine Yilmaz |
| 2022 | Personal Entity, Concept, and Named Entity Linking in Conversations. | Hideaki Joko, Faegheh Hasibi |
| 2022 | Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms. | Carl Johnell, Morteza Haghir Chehreghani |
| 2022 | Want robust explanations? Get smoother predictions first. | Deddy Jobson |
| 2022 | Extracting Drug-drug Interactions from Biomedical Texts using Knowledge Graph Embeddings and Multi-focal Loss. | Xin Jin, Xia Sun, Jiacheng Chen, Richard F. E. Sutcliffe |