Yi Xu - RankMe

42 papers A* 16A 1Journal 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gaussian Mixture Conditional Variational Recurrent Neural Network for Unified Trajectory Imputation and Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Yi Xu, Yun Fu
2025	J	`jnl`	A Trajectory Generator for High-Density Traffic and Diverse Agent-Interaction Scenarios. CoRR Ruining Yang, Yi Xu, Yixiao Chen, Yun Fu, Lili Su
2025	A*	`conf`	AdaSports-Traj: Role- and Domain-Aware Adaptation for Multi-Agent Trajectory Modeling in Sports. ICDM Yi Xu, Yun Fu
2025	J	`jnl`	AdaSports-Traj: Role- and Domain-Aware Adaptation for Multi-Agent Trajectory Modeling in Sports. CoRR Yi Xu, Yun Fu
2025	A*	`conf`	MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning. ICDM Yi Xu, Yitian Zhang, Yun Fu
2025	J	`jnl`	MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning. CoRR Yi Xu, Yitian Zhang, Yun Fu
2025	J	`jnl`	Out-of-Sight Trajectories: Tracking, Fusion, and Prediction. CoRR Haichao Zhang, Yi Xu, Yun Fu
2025	A*	`conf`	Representation Potentials of Foundation Models for Multimodal Alignment: A Survey. EMNLP Jianglin Lu, Hailing Wang, Yi Xu, Yizhou Wang, Kuo Yang, Yun Fu
2025	J	`jnl`	Representation Potentials of Foundation Models for Multimodal Alignment: A Survey. CoRR Jianglin Lu, Hailing Wang, Yi Xu, Yizhou Wang, Kuo Yang, Yun Fu
2025	J	`jnl`	SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability Defense. CoRR Yiyang Huang, Liang Shi, Yitian Zhang, Yi Xu, Yun Fu
2025	A*	`conf`	Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports. ICLR Yi Xu, Yun Fu
2025	J	`jnl`	Trajectory Prediction Meets Large Language Models: A Survey. CoRR Yi Xu, Ruining Yang, Yitian Zhang, Yizhou Wang, Jianglin Lu, Mingyuan Zhang, Lili Su, Yun Fu
2024	A*	`conf`	Adapting to Length Shift: FlexiLength Network for Trajectory Prediction. CVPR Yi Xu, Yun Fu
2024	J	`jnl`	Adapting to Length Shift: FlexiLength Network for Trajectory Prediction. CoRR Yi Xu, Yun Fu
2024	J	`jnl`	Deciphering Movement: Unified Trajectory Generation Model for Multi-Agent. CoRR Yi Xu, Yun Fu
2024	A*	`conf`	OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising. CVPR Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu
2024	J	`jnl`	OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising. CoRR Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu
2024	J	`jnl`	SLA$^{{\text{2}}}$2P: Self-Supervised Anomaly Detection With Adversarial Perturbation. IEEE Trans. Knowl. Data Eng. Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu
2023	A*	`conf`	AdamsFormer for Spatial Action Localization in the Future. CVPR Hyung-Gun Chi, Kwonjoon Lee, Nakul Agarwal, Yi Xu, Karthik Ramani, Chiho Choi
2023	A*	`conf`	Latent Graph Inference with Limited Supervision. NeurIPS Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu
2023	J	`jnl`	Latent Graph Inference with Limited Supervision. CoRR Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu
2023	A*	`conf`	Layout Sequence Prediction From Noisy Mobile Modality. ACM Multimedia Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu
2023	J	`jnl`	Layout Sequence Prediction From Noisy Mobile Modality. CoRR Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu
2023	J	`jnl`	Making Reconstruction-based Method Great Again for Video Anomaly Detection. CoRR Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu
2023	A*	`conf`	Momentum is All You Need for Data-Driven Adaptive Optimization. ICDM Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu
2023	A*	`conf`	Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction. CVPR Yi Xu, Armin Bazarjani, Hyung-Gun Chi, Chiho Choi, Yun Fu
2023	J	`jnl`	Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction. CoRR Yi Xu, Armin Bazarjani, Hyung-Gun Chi, Chiho Choi, Yun Fu
2022	A*	`conf`	Adaptive Trajectory Prediction via Transferable GNN. CVPR Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu
2022	J	`jnl`	Adaptive Trajectory Prediction via Transferable GNN. CoRR Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu
2022	A*	`conf`	Look More but Care Less in Video Recognition. NeurIPS Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu
2022	J	`jnl`	Look More but Care Less in Video Recognition. CoRR Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu
2022	A*	`conf`	Making Reconstruction-based Method Great Again for Video Anomaly Detection. ICDM Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu
2022	A*	`conf`	MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. IJCAI Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu
2022	A	`conf`	Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. CIKM Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu
2022	J	`jnl`	Simultaneous Past and Current Social Interaction-aware Trajectory Prediction for Multiple Intelligent Agents in Dynamic Scenes. ACM Trans. Intell. Syst. Technol. Yanliang Zhu, Dongchun Ren, Yi Xu, Deheng Qian, Mingyu Fan, Xin Li, Huaxia Xia
2021	J	`jnl`	A Feature-Cascaded Correntropy LSTM for Tourists Prediction. IEEE Access Yuehai Chen, Jing Yang, Kun Zhang, Yi Xu, Yuewen Liu
2021	J	`jnl`	Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization. CoRR Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu
2021	J	`jnl`	SLA CoRR Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu
2021	J	`jnl`	Tra2Tra: Trajectory-to-Trajectory Prediction With a Global Social Spatial-Temporal Attentive Neural Network. IEEE Robotics Autom. Lett. Yi Xu, Dongchun Ren, Mingxia Li, Yuehai Chen, Mingyu Fan, Huaxia Xia
2020	J	`jnl`	A Method for Wafer Defect Detection Using Spatial Feature Points Guided Affine Iterative Closest Point Algorithm. IEEE Access Jing Yang, Yi Xu, Hai-Jun Rong, Shaoyi Du, Hongmei Zhang
2020	A*	`conf`	CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory. AAAI Yi Xu, Jing Yang, Shaoyi Du
2018	J	`jnl`	Sparse Recursive Least Mean p-Power Extreme Learning Machine for Regression. IEEE Access Jing Yang, Yi Xu, Hai-Jun Rong, Shaoyi Du, Badong Chen