Homepage of Yi Xu

Publications

• Yi Xu, Yun Fu, ''Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports,'' ICLR 2025. [arXiv][Code]

• Yi Xu, Yun Fu, ''Adapting to Length Shift: FlexiLength Network for Trajectory Prediction,'' CVPR 2024. [arXiv]

• Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu, ''Noise-free Out-of-Sight Trajectory Prediction with Vision-Positioning Denoising,'' CVPR 2024.

• Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu, "Latent Graph Inference with Limited Supervision," NeurIPS 2023. [arXiv][Paper][Website][Code]

• Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu, ''Layout Sequence Prediction From Noisy Mobile Modality, '' ACM MM 2023. [arXiv]

• Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu, "Momentum is All You Need for Data-Driven Adaptive Optimization," ICDM 2023. [arXiv][Code]

• Yi Xu, Armin Bazarjani, Hyung-gun Chi, Chiho Choi, Yun Fu, "Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction," CVPR 2023. [arXiv][Paper][Code]

• Hyung-gun Chi, Kwonjoon Lee, Nakul Agarwal, Yi Xu, Karthik Ramani, Chiho Choi, "AdamsFormer for Spatial Action Localization in the Future," CVPR 2023. [Paper]

• Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu, ''Look More but Care Less in Video Recognition,'' NeurIPS 2022. [arXiv][Paper][Code]

• Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu, ''Making Reconstruction-based Method Great Again for Video Anomaly Detection,'' ICDM 2022. [arXiv][Paper][Code]

• Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu, "Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection," CIKM 2022. [arXiv][Paper][Code]

• Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu, "MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning," IJCAI 2022. [Paper]

• Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu, "Adaptive Trajectory Prediction via Transferable GNN," CVPR 2022.[arXiv][Paper]

• Yi Xu*, Dongchun Ren*, Mingxia Li, Yuehai Chen, Mingyu Fan, Huaxia Xia, ''Robust Trajectory Prediction of Multiple Interac-ting Pedestrians via Incremental Active Learning,'' ICONIP 2021. [Paper]

• Yanliang Zhu*, Dongchun Ren*,Yi Xu*, Deheng Qian*, Mingyu Fan*, Xin Li*, Huaxia Xia*, ''Simultaneous Past and Current Social Interaction-aware Trajectory Prediction for Multiple Intelligent Agents in Dynamic Scenes,'' ACM Transactions on Intelligent Systems and Technology. [Paper]

• Yi Xu*, Dongchun Ren*, Mingxia Li, Yuehai Chen, Mingyu Fan, Huaxia Xia, "Tra2Tra: Trajectory-to-Trajectory Prediction With a Global Social Spatial-Temporal Attentive Neural Network," IEEE Robotics and Automation Letters / ICRA 2021. [Paper]

• Yi Xu*, Jing Yang*, Shaoyi Du, "CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory," AAAI 2020. [Paper]

Pre-Prints

Competitions

• INTERACTION-Dataset-Based PREdicTion (INTERPRET) Challenge in NeurIPS2020, Meituan, Beijing, China.

1st Place of the Generalizability Track and 2nd Place of the Regular Track.

Blog, paper's coming ...

Working Experience

• Honda Research Institute, San Jose, California, USA.

    Research Intern, May. 2022 ~ Sept. 2022, May. 2023 ~ Sept. 2023

Mentor: Dr. Chiho Choi

Project: Trajectory imputation and prediction.

• Autonomous Delivery Center, Meituan AI, Beijing, China.

Research Intern, Jun. 2020 ~ Sept. 2020

Mentor: Prof. Mingyu Fan

Project: Pedestrian/vehicle future trajectory prediction, active learning in trajectory sample selection.

Teaching Experience

• EECE 7205: Fundamentals of Computer Engineering, Spring 2023, Northeastern University

• DS 5230: Unsupervised Machine Learning, Fall 2023, Northeastern University

• DS 5500: Data Science Capstone, Spring 2024, Northeastern University

Awards

• Travel Award of Ph.D. Network Northeastern University, 2022 and 2023.

• Travel Grant Award of CVPR 2022 and CVPR 2023.

• National Scholarship in 2018 (The highest honor in China).

• Excellent Graduate Student of Xi’an Jiaotong University in 2018 and 2019.

• Third Prize in the 15th China Graduate Mathematical Contest in Modeling in 2018.

• Third Prize in the 4th China Graduate Future Flight Vehicle Innovation Competition in 2018.

Professional Service

Conference Reviewer

• CVPR 2022/2023/2024/2025, ICCV 2023, ECCV 2022/2024,  BMVC 2022/2023, NeurIPS 2022/2023, ICLR 2023/2024, ICML 2022/2023, AAAI 2023/2024, IJCAI 2023/2024, CAI 2023/2024, FG 2021/2024, KDD 2023/2024, SDM 2024, ICRA 2024

Journal Reviewer

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

• IEEE Transactions on Image Processing (TIP).

• IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

• IEEE Transactions on Intelligent Vehicles (TIV).

• ACM Transactions on Knowledge Discovery from Data (TKDD).

• Knowledge and Information Systems (KAIS).

• Neurocomputing.

• IEEE Robotics and Automation Letters.