Publication
- TrajAgent: An LLM-Based Agentic Framework for Automated Trajectory Modeling through Large and Small Model Collaboration
Yuwei Du*, Jie Feng*, Jie Zhao, Yong Li
preprint 2024.10 Codes PDF - AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework
Jie Feng, Yuwei Du, Jie Zhao, Yong Li
preprint 2024.08 Codes PDF - LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction
Songwei Li, Jie Feng, Jiawei Chi, Xinyuan Hu, Xiaomeng Zhao, Fengli Xu
preprint 2024.08 Codes PDF - CityBench: Evaluating the Capabilities of Large Language Model as World Model
Jie Feng, Jun Zhang, Junbo Yan, Xin Zhang, Tianjian Ouyang, Tianhui Liu, Yuwei Du, Siqi Guo, Yong Li
preprint 2024.06 Codes PDF - CityGPT: Empowering Urban Spatial Cognition of Large Language Models
Jie Feng, Yuwei Du, Tianhui Liu, Siqi Guo, Yuming Lin, Yong Li
preprint 2024.06 Codes PDF - Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments
Yile Liang, Jiuxia Zhao, Donghui Li, Jie Feng(✉️), Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He
KDD 2024 PDF Link - UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
KDD 2024 Codes(star 148) PDF Link - Meituan’s Real-Time Intelligent Dispatching Algorithms Build the World’s Largest Minute-Level Delivery Network
Yile Liang, Haocheng Luo, Haining Duan, Donghui Li, Hongsen Liao, Jie Feng, Jiuxia Zhao, Hao Ren, Xuetao Ding, Ying Cha, Qingte Zhou, Chenqi Situ, Jinghua Hao, Ke Xing, Feifan Yin, Renqing He, Yang Sun, Yueqiang Zheng, Yipeng Feng, Zhizhao Sun, Jingfang Chen, Jie Zheng, Ling Wang
INFORMS 2023 Edelman Finalist Reward Link News - Urban Generative Intelligence (ugi): A foundational platform for agents in embodied city environment
Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, Yong Li
preprint 2023 PDF - Dynamic graph convolutional recurrent network for traffic prediction: benchmark and solution
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li
TKDD 2023 Codes(star 264) PDF Link - Research on the Prediction and Simulation of Urban Mobility
Jie Feng Ph.D Thesis 2021 - Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency
Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin
TKDD 2021 (Journal version of DeepSTN+ in AAAI 2019) Link - DeepMM: Deep Learning Based Map Matching with Data Augmentation
Jie Feng, Yong Li, Kai Zhao, Zhao Xu, Tong Xia, Lin Chen, Depeng Jin
TMC 2020 (Extension of SIGSPATIAL 2019 Poster) Codes Link - Learning to Simulate Human Mobility
Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, Yong Li
KDD 2020 (AI for COVID-19, Oral paper) Codes PDF Link - Predicting Human Mobility with Semantic Motivation via Multi-task Attentional Recurrent Networks
Jie Feng, Yong Li, Zeyu Yang, Qiang Qiu, Depeng Jin
TKDE 2020 (Journal version of DeepMove in WWW 2018) PDF Link - A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling
Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li
IJCAI 2020 (Full paper, Accept rate: 12.6%) PDF Link - User Identity Linkage via Co-Attentional Neural Network From Heterogeneous Mobility Data
Jie Feng, Yong Li, Zeyu Yang, Mingyang Zhang, Huandong Wang, Han Cao, Depeng Jin
TKDE 2020 (Journal version of DPLink in WWW 2019) PDF Link - PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning
Jie Feng, Can Rong, Funing Sun, Diansheng Guo, Yong Li
IMWUT/UbiComp 2020 (Full paper) PDF Link - DeepMM: Deep Learning Based Map Matching with Data Augmentation
Kai Zhao, Jie Feng, Zhao Xu, Tong Xia, Lin Chen, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li
SIGSPATIAL 2019 (Poster paper) PDF Link - DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data
Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu Yang, Chao Zhang, Yong Li, Depeng Jin
WWW 2019 (Full paper, Accept rate: 18%) Codes and Data PDF Link - DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
Ziqian Lin*, Jie Feng*, Ziyang Lu, Yong Li, Depeng Jin
AAAI 2019 (Full paper, Accept rate: 16.2%) Codes(star 62) PDF Link * Equal contribution - DeepDPM: Dynamic Population Mapping via Deep Neural Network
Zefang Zong*, Jie Feng*, Kechun Liu, Hongzhi Shi, Yong Li
AAAI 2019 (Full paper, Accept rate: 16.2%) PDF Link * Equal contribution - DeepMove: Predicting Human Mobility with Atentional Recurrent Networks
Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, Depeng Jin.
WWW 2018 (Full paper, Accept rate: 14.8%) Codes(star 142) PDF Link - DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction
Jie Feng, Xinlei Chen, Rundong Gao, Ming Zeng, Yong Li
IEEE Network, 2018, 32 (6), 108-115 PDF Link - Context-aware Real-time Population Estimation for Metropolis
Fengli Xu, Jie Feng, Pengyu Zhang, Yong Li
Ubicomp 2016 (Honorable mention award) PDF Link Project
