| 2022 | Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network. | Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, Lei Chen |
| 2022 | ProtoAI: Model-Informed Prototyping for AI-Powered Interfaces (Extended Abstract). | Hariharan Subramonyam, Colleen M. Seifert, Eytan Adar |
| 2022 | An Experiment in Measuring Understanding. | Luc Steels, Lara Verheyen, Remi van Trijp |
| 2022 | Cognitive Adequacy: Insights from Developing Robot Architectures (poster). | Mohan Sridharan |
| 2022 | Maxmin Participatory Budgeting. | Gogulapati Sreedurga, Mayank Ratan Bhardwaj, Yadati Narahari |
| 2022 | On the Computational Complexity of Model Reconciliations. | Sarath Sreedharan, Pascal Bercher, Subbarao Kambhampati |
| 2022 | Towards Conflictual Narrative Mechanics. | Laura Spillner, Carlo Santagiustina, Thomas Mildner, Robert Porzel |
| 2022 | Near-Tight Algorithms for the Chamberlin-Courant and Thiele Voting Rules. | Krzysztof Sornat, Virginia Vassilevska Williams, Yinzhan Xu |
| 2022 | Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space. | Chinmay Sonar, Subhash Suri, Jie Xue |
| 2022 | Dynamic Sparse Training for Deep Reinforcement Learning. | Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone |
| 2022 | Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction. | Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia |
| 2022 | Lexicographic Multi-Objective Reinforcement Learning. | Joar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate |
| 2022 | Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit. | Amutheezan Sivagnanam, Salah Uddin Kadir, Ayan Mukhopadhyay, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, Aron Laszka |
| 2022 | Emotion-Controllable Generalized Talking Face Generation. | Sanjana Sinha, Sandika Biswas, Ravindra Yadav, Brojeshwar Bhowmick |
| 2022 | Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges. | Rachael Hwee Ling Sim, Xinyi Xu, Bryan Kian Hsiang Low |
| 2022 | A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. | Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon |
| 2022 | Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers. | Georg Siedel, Silvia Vock, Andrey Morozov, Stefan Vo |
| 2022 | Understanding Adversarial Examples Through Deep Neural Network's Classification Boundary and Uncertainty Regions. | Juan Shu, Bowei Xi, Charles A. Kamhoua |
| 2022 | IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution. | Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong |
| 2022 | Data-Efficient Algorithms and Neural Natural Language Processing: Applications in the Healthcare Domain. | Heereen Shim |
| 2022 | Towards Contextually Sensitive Analysis of Memes: Meme Genealogy and Knowledge Base. | Victoria Sherratt |
| 2022 | VMAgent: A Practical Virtual Machine Scheduling Platform. | Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang |
| 2022 | Federated Multi-Task Attention for Cross-Individual Human Activity Recognition. | Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu |
| 2022 | Considering Constraint Monotonicity and Foundedness in Answer Set Programming. | Yi-Dong Shen, Thomas Eiter |
| 2022 | Detecting and Understanding Harmful Memes: A Survey. | Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty |