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ORCIDJie Feng 0002
Person information
- unicode name: 冯杰
- affiliation: Tsinghua University, Department of Electronic Engineering, BNRist, Beijing, China
Other persons with the same name
- Jie Feng — disambiguation page
- Jie Feng 0001 — Peking University, Institute of Computer Science and Technology, Beijing, China
- Jie Feng 0003
![[0000-0002-8032-7542]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8032-7542")
— Xidian University, School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China (and 1 more) - Jie Feng 0004 — Xidian University, School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Jie Feng 0005 — University of Nebraska-Lincoln, Department of Computer Science and Engineering, Lincoln, NE, USA
- Jie Feng 0006 — University of California, San Diego, CA, USA (and 1 more)
- Jie Feng 0007 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, Chongqing, China
- Jie Feng 0008 — Jihua Laboratory, Laboratory of Microwave and Vacuum Technology, Foshan, China (and 1 more)
- Jie Feng 0009 — Shengyang University of Technology, School of Chemical Equipment, Liaoyang, China
- Jie Feng 0010 — Zhejiang Sci-Tech University, School of Information Science and Technology, Hangzhou, China
- Jie Feng 0011 — Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, Chongqing Key Laboratory of Image Cognition, Chongqing, China
- Jie Feng 0012 — Peking University, Key Laboratory of Machine Perception, Beijing, China
- Jie Feng 0013 — Shanghai Jiao Tong University, School of Biomedical Engineering, China
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2020 – today
- 2024
[j18]Tong Xia, Yong Li, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin:
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network. ACM Trans. Knowl. Discov. Data 18(3): 53:1-53:22 (2024)- [c14]Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li:
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. KDD 2024: 4095-4106 - [c13]Yile Liang, Jiuxia Zhao, Donghui Li, Jie Feng, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He:
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments. KDD 2024: 5363-5374 - [i11]Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li:
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. CoRR abs/2402.11838 (2024) - [i10]Jie Feng, Jun Zhang, Junbo Yan, Xin Zhang, Tianjian Ouyang, Tianhui Liu, Yuwei Du, Siqi Guo, Yong Li:
CityBench: Evaluating the Capabilities of Large Language Model as World Model. CoRR abs/2406.13945 (2024) - [i9]Yu Shang, Jiansheng Chen, Hangyu Fan, Jingtao Ding, Jie Feng, Yong Li:
UrbanWorld: An Urban World Model for 3D City Generation. CoRR abs/2407.11965 (2024) - [i8]Jie Feng, Yuwei Du, Jie Zhao, Yong Li:
AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework. CoRR abs/2408.13986 (2024) - [i7]Yuwei Du, Jie Feng, Jie Zhao, Yong Li:
TrajAgent: An Agent Framework for Unified Trajectory Modelling. CoRR abs/2410.20445 (2024) - 2023
- [j17]Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li:
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. ACM Trans. Knowl. Discov. Data 17(1): 9:1-9:21 (2023) - [j16]Can Rong, Tong Li, Jie Feng, Yong Li:
Inferring Origin-Destination Flows From Population Distribution. IEEE Trans. Knowl. Data Eng. 35(1): 603-613 (2023) - [j15]Can Rong, Jie Feng, Jingtao Ding:
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training. IEEE Trans. Knowl. Data Eng. 35(10): 10048-10057 (2023) - [i6]Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, Yong Li:
Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment. CoRR abs/2312.11813 (2023) - 2022
- [j14]Fuxian Li, Jie Feng, Huan Yan, Depeng Jin, Yong Li:
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network. ACM Trans. Intell. Syst. Technol. 13(5): 81:1-81:14 (2022) - [j13]Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin:
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. ACM Trans. Knowl. Discov. Data 16(3): 49:1-49:21 (2022) - [j12]Jie Feng, Yong Li, Zeyu Yang, Mingyang Zhang, Huandong Wang, Hancheng Cao, Depeng Jin:
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data. IEEE Trans. Knowl. Data Eng. 34(2): 954-968 (2022) - [j11]Jie Feng, Yong Li, Zeyu Yang, Qiang Qiu, Depeng Jin:
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks. IEEE Trans. Knowl. Data Eng. 34(5): 2360-2374 (2022) - [j10]Erzhuo Shao, Huandong Wang, Jie Feng, Tong Xia, Hedong Yang, Lu Geng, Depeng Jin, Yong Li:
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks. IEEE Trans. Knowl. Data Eng. 34(12): 5693-5707 (2022) - [j9]Jie Feng, Yong Li, Kai Zhao, Zhao Xu, Tong Xia, Jinglin Zhang, Depeng Jin:
DeepMM: Deep Learning Based Map Matching With Data Augmentation. IEEE Trans. Mob. Comput. 21(7): 2372-2384 (2022) - 2021
- [j8]Tong Xia, Junjie Lin, Yong Li, Jie Feng, Pan Hui, Funing Sun, Diansheng Guo, Depeng Jin:
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction. ACM Trans. Knowl. Discov. Data 15(6): 110:1-110:21 (2021) - [c12]Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li:
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. AAAI 2021: 4494-4502 - [c11]Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li:
One-shot Transfer Learning for Population Mapping. CIKM 2021: 1588-1597 - [c10]Zongyu Lin, Guozhen Zhang, Zhiqun He, Jie Feng, Wei Wu, Yong Li:
Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data. SIGSPATIAL/GIS 2021: 389-398 - [i5]Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li:
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. CoRR abs/2101.00646 (2021) - [i4]Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Depeng Jin, Yong Li:
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. CoRR abs/2104.14917 (2021) - [i3]Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li:
One-shot Transfer Learning for Population Mapping. CoRR abs/2108.06228 (2021) - 2020
- [j7]Jie Feng, Can Rong, Funing Sun, Diansheng Guo, Yong Li:
PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 10:1-10:21 (2020) - [j6]Yue Yu, Tong Xia, Huandong Wang, Jie Feng, Yong Li:
Semantic-aware Spatio-temporal App Usage Representation via Graph Convolutional Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 101:1-101:24 (2020) - [j5]Tong Xia, Yong Li, Jie Feng, Depeng Jin, Qing Zhang, Hengliang Luo, Qingmin Liao:
DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning. ACM Trans. Intell. Syst. Technol. 11(6): 64:1-64:12 (2020) - [c9]Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li:
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. IJCAI 2020: 1331-1337 - [c8]Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, Yong Li:
Learning to Simulate Human Mobility. KDD 2020: 3426-3433
2010 – 2019
- 2019
- [j4]Hancheng Cao, Jagan Sankaranarayanan, Jie Feng, Yong Li, Hanan Samet:
Understanding Metropolitan Crowd Mobility via Mobile Cellular Accessing Data. ACM Trans. Spatial Algorithms Syst. 5(2): 8:1-8:18 (2019) - [c7]Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin:
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis. AAAI 2019: 1020-1027 - [c6]Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li:
DeepDPM: Dynamic Population Mapping via Deep Neural Network. AAAI 2019: 1294-1301 - [c5]Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li:
Learning Phase Competition for Traffic Signal Control. CIKM 2019: 1963-1972 - [c4]Kai Zhao, Jie Feng, Zhao Xu, Tong Xia, Lin Chen, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li:
DeepMM: Deep Learning Based Map Matching with Data Augmentation. SIGSPATIAL/GIS 2019: 452-455 - [c3]Can Rong, Jie Feng, Yong Li:
Deep learning models for population flow generation from aggregated mobility data. UbiComp/ISWC Adjunct 2019: 1008-1013 - [c2]Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu Yang, Chao Zhang, Yong Li, Depeng Jin:
DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data. WWW 2019: 459-469 - [i2]Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li:
Learning Phase Competition for Traffic Signal Control. CoRR abs/1905.04722 (2019) - 2018
- [j3]Hancheng Cao, Jie Feng, Yong Li, Vassilis Kostakos:
Uniqueness in the City: Urban Morphology and Location Privacy. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(2): 62:1-62:20 (2018) - [j2]Jie Feng, Xinlei Chen, Rundong Gao, Ming Zeng, Yong Li:
DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction. IEEE Netw. 32(6): 108-115 (2018) - [j1]Jie Feng, Yong Li, Fengli Xu, Depeng Jin:
A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data. Sensors 18(10): 3431 (2018) - [c1]Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, Depeng Jin:
DeepMove: Predicting Human Mobility with Attentional Recurrent Networks. WWW 2018: 1459-1468 - [i1]Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li:
DeepDPM: Dynamic Population Mapping via Deep Neural Network. CoRR abs/1811.02644 (2018)
Coauthor Index
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