Jie Feng
Orcid: 0000-0003-3279-7117Affiliations:
- Tsinghua University, Department of Electronic Engineering, BNRist, Beijing, China
According to our database1,
Jie Feng
authored at least 55 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2025
CoRR, August, 2025
Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning.
CoRR, July, 2025
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding.
CoRR, June, 2025
CoRR, June, 2025
CoRR, June, 2025
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction.
IEEE Trans. Knowl. Data Eng., May, 2025
UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models.
CoRR, April, 2025
A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science.
CoRR, April, 2025
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.
CoRR, January, 2025
AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network.
ACM Trans. Knowl. Discov. Data, April, 2024
CoRR, 2024
CoRR, 2024
AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework.
CoRR, 2024
CoRR, 2024
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2023
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training.
IEEE Trans. Knowl. Data Eng., October, 2023
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution.
ACM Trans. Knowl. Discov. Data, January, 2023
IEEE Trans. Knowl. Data Eng., 2023
Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment.
CoRR, 2023
2022
IEEE Trans. Mob. Comput., 2022
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks.
IEEE Trans. Knowl. Data Eng., 2022
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data.
IEEE Trans. Knowl. Data Eng., 2022
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks.
IEEE Trans. Knowl. Data Eng., 2022
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency.
ACM Trans. Knowl. Discov. Data, 2022
ACM Trans. Intell. Syst. Technol., 2022
2021
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction.
ACM Trans. Knowl. Discov. Data, 2021
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution.
CoRR, 2021
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning.
ACM Trans. Intell. Syst. Technol., 2020
Semantic-aware Spatio-temporal App Usage Representation via Graph Convolutional Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
ACM Trans. Spatial Algorithms Syst., 2019
DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data.
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Sensors, 2018
IEEE Netw., 2018
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018