| 2023 | Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. | Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |
| 2023 | The Economics of Machine Learning. | Haifeng Xu |
| 2023 | Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. | Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King |
| 2023 | Truthful Auctions for Automated Bidding in Online Advertising. | Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen |
| 2023 | Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels. | Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau |
| 2023 | 3D Surface Super-resolution from Enhanced 2D Normal Images: A Multimodal-driven Variational AutoEncoder Approach. | Wuyuan Xie, Tengcong Huang, Miaohui Wang |
| 2023 | ViT-CX: Causal Explanation of Vision Transformers. | Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang |
| 2023 | Hyperspectral Image Denoising Using Uncertainty-Aware Adjustor. | Jiahua Xiao, Xing Wei |
| 2023 | A Quantitative Game-theoretical Study on Externalities of Long-lasting Humanitarian Relief Operations in Conflict Areas. | Kaiming Xiao, Haiwen Chen, Hongbin Huang, Lihua Liu, Jibing Wu |
| 2023 | ProMix: Combating Label Noise via Maximizing Clean Sample Utility. | Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao |
| 2023 | OptIForest: Optimal Isolation Forest for Anomaly Detection. | Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu |
| 2023 | A Systematic Survey of Chemical Pre-trained Models. | Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li |
| 2023 | A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction. | Feng Wu, Guoshuai Zhao, Xueming Qian, Li-Wei H. Lehman |
| 2023 | KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach. | Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu |
| 2023 | From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement. | Wanyu Wu, Wei Wang, Zheng Wang, Kui Jiang, Xin Xu |
| 2023 | Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention. | Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan, Yunzhe Wu, Yuanzhu Gan, Jian Pu |
| 2023 | Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation. | Yuanchen Wu, Xiaoqiang Li, Songmin Dai, Jide Li, Tong Liu, Shaorong Xie |
| 2023 | Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer. | Yifan Wu, Shichao Kan, Min Zeng, Min Li |
| 2023 | KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. | Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen |
| 2023 | Online Task Assignment with Controllable Processing Time. | Ruoyu Wu, Wei Bao, Liming Ge |
| 2023 | Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization. | Lei Wu, Bin Guo, Qiuyun Zhang, Zhuo Sun, Jieyi Zhang, Zhiwen Yu |
| 2023 | Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting. | Jinming Wu, Qi Qi, Jingyu Wang, Haifeng Sun, Zhikang Wu, Zirui Zhuang, Jianxin Liao |
| 2023 | FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. | Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan |
| 2023 | Ordinal Hedonic Seat Arrangement under Restricted Preference Domains: Swap Stability and Popularity. | Analle Wilczynski |
| 2023 | A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III). | Simon Wietheger, Benjamin Doerr |