| 2022 | Information Augmentation for Few-shot Node Classification. | Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu |
| 2022 | Multi-Graph Fusion Networks for Urban Region Embedding. | Shangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng, Cheng Wang |
| 2022 | Decentralized Unsupervised Learning of Visual Representations. | Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu |
| 2022 | Rethinking InfoNCE: How Many Negative Samples Do You Need? | Chuhan Wu, Fangzhao Wu, Yongfeng Huang |
| 2022 | Quantifying Health Inequalities Induced by Data and AI Models. | Honghan Wu, Aneeta Sylolypavan, Minhong Wang, Sarah Wild |
| 2022 | Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. | Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang |
| 2022 | A Simple yet Effective Method for Graph Classification. | Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu |
| 2022 | On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges. | Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou |
| 2022 | EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion. | Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan |
| 2022 | Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks. | Yuanbo Lin Wu, Deyin Liu, Xiaojie Guo, Richang Hong, Liangchen Liu, Rui Zhang |
| 2022 | FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. | Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang |
| 2022 | A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining. | Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Tian-Jing Zhang |
| 2022 | Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles. | Zheng-Fan Wu, Yi-Nan Feng, Hui Xue |
| 2022 | Salient Object Detection with Fusion of RGB Image and Eye Tracking Data. | Yage Wu, Yadi Chen, Rui Zhang |
| 2022 | Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders. | Xinxing Wu, Qiang Cheng |
| 2022 | Competitive Analysis for Multi-Commodity Ski-Rental Problem. | Binghan Wu, Wei Bao, Dong Yuan, Bing Zhou |
| 2022 | Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition. | Shuhui Wu, Yongliang Shen, Zeqi Tan, Weiming Lu |
| 2022 | The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication (Extended Abstract). | Blake E. Woodworth, Brian Bullins, Ohad Shamir, Nathan Srebro |
| 2022 | Value Refinement Network (VRN). | Jan Whlke, Felix Schmitt, Herke van Hoof |
| 2022 | Why Bad Coffee? Explaining BDI Agent Behaviour with Valuings (Extended Abstract). | Michael Winikoff, Galina Sidorenko, Virginia Dignum, Frank Dignum |
| 2022 | Detecting Traces of Narrative Evolution on Telegram: Inductive Methods from Corpus-Based Discourse Analysis. | Tom Willaert |
| 2022 | Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits. | Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska |
| 2022 | Landmark Heuristics for Lifted Classical Planning. | Julia Wichlacz, Daniel Hller, Jrg Hoffmann |
| 2022 | CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition. | Xin-Cheng Wen, Jiaxin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang, Chang-Li Wu, Kun-Hong Liu |
| 2022 | Fourier Analysis-based Iterative Combinatorial Auctions. | Jakob Weissteiner, Chris Wendler, Sven Seuken, Benjamin Lubin, Markus Pschel |