Homepage of Yi Xu
Yi Xu (徐一) [Github][Google Scholar][DBLP][Resume][LinkedIn][知乎]
I am a fourth-year Ph.D. candidate in SMILE Lab, Computer Engineering at Northeastern University. My advisor Prof. Yun Raymond Fu.
I received my Master's Degree in Control Science and Engineering from Xi'an Jiaotong University (XJTU), China in 2020, under the supervision of Prof. Jing Yang and Prof. Shaoyi Du. Before that, I received my Bachelor's Degree in Automation from Xi'an Jiaotong University (XJTU) in 2017.
I am open to any collaboration, feel free to contact me (contacts below)!
News
[Top] Paper list of trajectory/motion prediction. Welcome to Star and Contribute! [Github][知乎]
05/2024: We released one paper on a unified trajectory generation model in arXiv, datasets, codes, and models are public.
02/2024: We have two papers accepted by CVPR 2024.
09/2023: We have one paper on adaptive optimizer design accepted by ICDM 2023, and one paper on graph structure learning accepted by NeurIPS 2023.
07/2023: We have one paper on layout prediction accepted by ACM MM 2023.
05/2023: Start my summer internship at Honda Research Institute, San Jose, CA.
03/2023: Give a guest lecture, "Approach for Prediction in Autonomous Driving", at Northeastern University, EECE 5642 Data Visualization.
02/2023: We have two papers on trajectory imputation & prediction and future action localization accepted by CVPR 2023.
09/2022: We have one paper on video recognition accepted by NeurIPS 2022.
08/2022: We have one paper on video anomaly detection accepted by ICDM 2022.
07/2022: We have one paper on unsupervised anomaly detection accepted by CIKM 2022.
05/2022: Start my summer internship at Honda Research Institute, San Jose, CA.
04/2022: We have one paper on cross-domain few-shot learning accepted by IJCAI 2022.
03/2022: We have one paper on adaptive pedestrian trajectory prediction accepted by CVPR 2022.
09/2021: We have one paper on pedestrian trajectory prediction with active learning accepted by ICONIP 2021.
01/2021: We have one paper on pedestrian trajectory prediction accepted by RA-L/ICRA 2021 and one paper on vehicle trajectory prediction accepted by ACM Trans Intel Syst Tec.
09/2020: Join SMILE Lab as a Ph.D. student at Northeastern University, Boston, MA.
06/2020: Join Autonomous Delivery Center as a summer research intern at Meituan, Beijing, China.
11/2019: We have one paper on pedestrian trajectory prediction accepted by AAAI 2020.
Research Interests
Computer Vision
Autonomous Driving
Behavior/Action Prediction
Real Interests
Basketball
Publications
Yi Xu, Yun Fu, ''Deciphering Movement: Unified Trajectory Generation Model for Multi-Agent,'' Under Review. [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, 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.
Contacts
Email: xu.yi@northeastern.edu
WeChat: 578138534