| 2024 | EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices. | Di Yu, Xin Du, Linshan Jiang, Wentao Tong, Shuiguang Deng |
| 2024 | Unified Unsupervised Salient Object Detection via Knowledge Transfer. | Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin |
| 2024 | The Trembling-Hand Problem for LTLf Planning. | Pian Yu, Shufang Zhu, Giuseppe De Giacomo, Marta Kwiatkowska, Moshe Y. Vardi |
| 2024 | Spear: Evaluate the Adversarial Robustness of Compressed Neural Models. | Chong Yu, Tao Chen, Zhongxue Gan, Jiayuan Fan |
| 2024 | Kernel Readout for Graph Neural Networks. | Jiajun Yu, Zhihao Wu, Jinyu Cai, Adele Lu Jia, Jicong Fan |
| 2024 | Laying the Foundations for Solving FOND HTN Problems: Grounding, Search, Heuristics (and Benchmark Problems). | Mohammad Yousefi, Pascal Bercher |
| 2024 | Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes. | Kang You, Kai Liu, Li Yu, Pan Gao, Dandan Ding |
| 2024 | Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference. | Haruka Yoshida, Manabu Kuroki |
| 2024 | MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning. | Xixian Yong, Xiao Zhou |
| 2024 | CMACE: CMAES-based Counterfactual Explanations for Black-box Models. | Xudong Yin, Yao Yang |
| 2024 | 1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking. | Shi Yin, Shijie Huan, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu |
| 2024 | FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning. | Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li |
| 2024 | Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning. | Bo Ye, Kai Gan, Tong Wei, Min-Ling Zhang |
| 2024 | A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification. | Sin-Yee Yap, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphal C.-W. Phan, Adeel Razi, David L. Dowe |
| 2024 | Learning Label Dependencies for Visual Information Extraction. | Minghong Yao, Liansheng Zhuang, Houqiang Li, Jiuchang Wei |
| 2024 | MAS-SAM: Segment Any Marine Animal with Aggregated Features. | Tianyu Yan, Zifu Wan, Xinhao Deng, Pingping Zhang, Yang Liu, Huchuan Lu |
| 2024 | DFMDA-Net: Dense Fusion and Multi-dimension Aggregation Network for Image Restoration. | Huibin Yan, Shuoyao Wang |
| 2024 | Reschedule Diffusion-based Bokeh Rendering. | Shiyue Yan, Xiaoshi Qiu, Qingmin Liao, Jing-Hao Xue, Shaojun Liu |
| 2024 | Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation. | Haolin Yang, Chaoqiang Zhao, Lu Sheng, Yang Tang |
| 2024 | VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting. | Yingnan Yang, Qingling Zhu, Jianyong Chen |
| 2024 | Temporal Inductive Logic Reasoning over Hypergraphs. | Yuan Yang, Siheng Xiong, Ali Payani, James Clayton Kerce, Faramarz Fekri |
| 2024 | 3D Vision and Language Pretraining with Large-Scale Synthetic Data. | Dejie Yang, Zhu Xu, Wentao Mo, Qingchao Chen, Siyuan Huang, Yang Liu |
| 2024 | Joint Domain Adaptive Graph Convolutional Network. | Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin |
| 2024 | Navigating Continual Test-time Adaptation with Symbiosis Knowledge. | Xu Yang, Moqi Li, Jie Yin, Kun Wei, Cheng Deng |
| 2024 | ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces. | Libing Yang, Yang Li, Long Chen |