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ORCIDJunbo Zhang 0004
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- affiliation: JD.com
Other persons with the same name
- Junbo Zhang — disambiguation page
- Junbo Zhang 0001
![[0000-0003-4821-6559]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4821-6559")
— Carnegie Mellon University, Pittsburgh, PA, USA - Junbo Zhang 0002 — South China University of Technology, Guangzhou, China
- Junbo Zhang 0003 — Sichuan Agricultural University, Ya'an, China
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Journal Articles
- 2025
[j55]Yanqi Hao, Chuan Luo, Tianrui Li, Junbo Zhang, Hongmei Chen:
Adversarial Transfer Learning-Based Hybrid Recurrent Network for Air Quality Prediction. Int. J. Intell. Syst. 2025(1) (2025)- [j54]Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang:
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook. Inf. Fusion 113: 102606 (2025) - [j53]Xiaocao Ouyang, Yanhua Li, Dongyu Guo, Wei Huang, Xin Yang, Yan Yang, Junbo Zhang, Tianrui Li:
Enhancing few-sample spatio-temporal prediction via relational fusion-based hypergraph neural network. Inf. Fusion 121: 103149 (2025) - [j52]Chao Wang, Haochen Shi, Jie Hu, Xin Yang, Junbo Zhang, Shengdong Du, Tianrui Li:
Pre-training Enhanced Transformer for multivariate time series anomaly detection. Inf. Fusion 121: 103171 (2025) - [j51]Xiaocao Ouyang, Yanhua Li, Jie Zhang, Xin Yang, Yan Yang, Junbo Zhang, Wei Huang, Tianrui Li, Zhiquan Liu:
Enhancing cross-city spatio-temporal prediction via dynamic multi-scale hypergraph learning with domain adversarial training. Knowl. Based Syst. 329: 114352 (2025) - [j50]Haochen Shi, Shengdong Du, Yan Yang, Junbo Zhang, Tianrui Li, Yu Zheng:
A Knowledge-Guided Pre-Training Temporal Data Analysis Foundation Model for Urban Computing. IEEE Trans. Knowl. Data Eng. 37(11): 6259-6271 (2025) - [j49]Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Xuying Meng, Jingyuan Wang, Junbo Zhang, Ke Xu:
Burst-Sensitive Traffic Forecast via Multi-Property Personalized Fusion in Federated Learning. IEEE Trans. Mob. Comput. 24(7): 5598-5614 (2025) - [j48]Jia Liu, Donghai Zhai, Wei Huang, Shenggong Ji, Junbo Zhang, Tianrui Li:
Daily Schedule Recommendation in Urban Life Based on Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2196-2205 (2025) - 2024
- [j47]Shengdong Du, Tao Yang, Fei Teng, Junbo Zhang, Tianrui Li, Yu Zheng:
Multi-scale feature enhanced spatio-temporal learning for traffic flow forecasting. Knowl. Based Syst. 294: 111787 (2024) - [j46]Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Junbo Zhang, Zeju Li, Qingxiang Liu:
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. ACM Trans. Intell. Syst. Technol. 15(2): 28:1-28:34 (2024) - [j45]Xin Yang, Hao Yu, Xin Gao, Hao Wang, Junbo Zhang, Tianrui Li:
Federated Continual Learning via Knowledge Fusion: A Survey. IEEE Trans. Knowl. Data Eng. 36(8): 3832-3850 (2024) - [j44]Guangyin Jin, Yuxuan Liang, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng:
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. IEEE Trans. Knowl. Data Eng. 36(10): 5388-5408 (2024) - [j43]Yujie Li, Xin Yang, Qiang Gao, Hao Wang, Junbo Zhang, Tianrui Li:
Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer. IEEE Trans. Knowl. Data Eng. 36(12): 7865-7877 (2024) - 2023
- [j42]Songyu Ke, Zheyi Pan, Tianfu He, Yuxuan Liang, Junbo Zhang, Yu Zheng:
AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction. Artif. Intell. 318: 103899 (2023) - [j41]Minbo Ma, Peng Xie, Fei Teng, Bin Wang, Shenggong Ji, Junbo Zhang, Tianrui Li:
HiSTGNN: Hierarchical spatio-temporal graph neural network for weather forecasting. Inf. Sci. 648: 119580 (2023) - [j40]Zhaoyuan Wang, Shun Chen, Shenggong Ji, Zheyi Pan, Chuishi Meng, Junbo Zhang, Tianrui Li, Yu Zheng:
Housing rental suggestion based on e-commerce data. Knowl. Based Syst. 268: 110474 (2023) - [j39]Ruiyuan Li, Huajun He, Rubin Wang, Sijie Ruan, Tianfu He, Jie Bao, Junbo Zhang, Liang Hong, Yu Zheng:
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System. IEEE Trans. Knowl. Data Eng. 35(1): 1013-1027 (2023) - [j38]Jia Liu, Tianrui Li, Shenggong Ji, Peng Xie, Shengdong Du, Fei Teng, Junbo Zhang:
Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(2): 2133-2146 (2023) - [j37]Jia Liu, Wei Huang, Tianrui Li, Shenggong Ji, Junbo Zhang:
Cross-Domain Knowledge Graph Chiasmal Embedding for Multi-Domain Item-Item Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4621-4633 (2023) - [j36]Zhaoyuan Wang, Zheyi Pan, Shun Chen, Shenggong Ji, Xiuwen Yi, Junbo Zhang, Jingyuan Wang, Zhiguo Gong, Tianrui Li, Yu Zheng:
Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(5): 5282-5295 (2023) - [j35]Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang, Philip S. Yu:
Fine-Grained Urban Flow Inference With Incomplete Data. IEEE Trans. Knowl. Data Eng. 35(6): 5851-5864 (2023) - [j34]Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin:
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision. IEEE Trans. Knowl. Data Eng. 35(8): 8008-8023 (2023) - [j33]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Zheyi Pan, Yifang Yin, Hongyang Chen, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann:
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting. IEEE Trans. Knowl. Data Eng. 35(9): 9254-9268 (2023) - [j32]Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang:
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction. IEEE Trans. Knowl. Data Eng. 35(10): 9973-9984 (2023) - 2022
- [j31]Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang, Tianqiang Huang:
Fairness and accuracy in horizontal federated learning. Inf. Sci. 589: 170-185 (2022) - [j30]Yang Liu, Yingting Liu, Zhijie Liu, Yuxuan Liang, Chuishi Meng, Junbo Zhang, Yu Zheng:
Federated Forest. IEEE Trans. Big Data 8(3): 843-854 (2022) - [j29]Xiuwen Yi, Zhewen Duan, Ruiyuan Li, Junbo Zhang, Tianrui Li, Yu Zheng:
Predicting Fine-Grained Air Quality Based on Deep Neural Networks. IEEE Trans. Big Data 8(5): 1326-1339 (2022) - [j28]Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li:
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2. ACM Trans. Intell. Syst. Technol. 13(2): 17:1-17:4 (2022) - [j27]Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Meta Learning for Urban Traffic Prediction. IEEE Trans. Knowl. Data Eng. 34(3): 1462-1476 (2022) - [j26]Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng:
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(5): 2348-2359 (2022) - [j25]Xiuwen Yi, Xiaodu Yang, Yanyong Huang, Songyu Ke, Junbo Zhang, Tianrui Li, Yu Zheng:
Gas-Theft Suspect Detection Among Boiler Room Users: A Data-Driven Approach. IEEE Trans. Knowl. Data Eng. 34(12): 5796-5808 (2022) - 2021
- [j24]Yang Liu, Ruolan Wang, Shishuai Du, Junbo Zhang, Yu Zheng:
Federated Digital Gateway: Methodologies, Tools, and Applications. IEEE Intell. Syst. 36(5): 31-38 (2021) - [j23]Pengfei Zhang, Tianrui Li, Guoqiang Wang, Chuan Luo, Hongmei Chen, Junbo Zhang, Dexian Wang, Zeng Yu:
Multi-source information fusion based on rough set theory: A review. Inf. Fusion 68: 85-117 (2021) - [j22]Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li:
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1. ACM Trans. Intell. Syst. Technol. 12(6): 67:1-67:3 (2021) - 2020
- [j21]Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang:
Urban flow prediction from spatiotemporal data using machine learning: A survey. Inf. Fusion 59: 1-12 (2020) - [j20]Zhaoyuan Wang, Junbo Zhang, Shenggong Ji, Chuishi Meng, Tianrui Li, Yu Zheng:
Predicting and ranking box office revenue of movies based on big data. Inf. Fusion 60: 25-40 (2020) - [j19]Junbo Zhang, Yu Zheng, Junkai Sun, Dekang Qi:
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning. IEEE Trans. Knowl. Data Eng. 32(3): 468-478 (2020) - 2019
- [j18]Qianru Wang, Junbo Zhang, Bin Guo, Zexia Hao, Yifang Zhou, Junkai Sun, Zhiwen Yu, Yu Zheng:
CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 156:1-156:21 (2019) - 2018
- [j17]Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui Li:
Predicting citywide crowd flows using deep spatio-temporal residual networks. Artif. Intell. 259: 147-166 (2018) - 2016
- [j16]Junbo Zhang, Yun Zhu, Yi Pan, Tianrui Li:
Efficient parallel boolean matrix based algorithms for computing composite rough set approximations. Inf. Sci. 329: 287-302 (2016) - [j15]Yingying Zhang, Tianrui Li, Chuan Luo, Junbo Zhang, Hongmei Chen:
Incremental updating of rough approximations in interval-valued information systems under attribute generalization. Inf. Sci. 373: 461-475 (2016) - [j14]Bing Li, Junbo Zhang, Ning Yu, Yi Pan:
J2M: a Java to MapReduce translator for cloud computing. J. Supercomput. 72(5): 1928-1945 (2016) - 2015
- [j13]Anping Zeng, Tianrui Li, Dun Liu, Junbo Zhang, Hongmei Chen:
A fuzzy rough set approach for incremental feature selection on hybrid information systems. Fuzzy Sets Syst. 258: 39-60 (2015) - [j12]Xiuwen Yi, Tianrui Li, Junbo Zhang, Fei Teng:
不同MapReduce运行系统的性能测试与分析 (Performance Testing and Analysis among Different MapReduce Runtime Systems). 计算机科学 42(5): 24-27 (2015) - [j11]Dun Liu, Tianrui Li, Junbo Zhang:
Incremental updating approximations in probabilistic rough sets under the variation of attributes. Knowl. Based Syst. 73: 81-96 (2015) - [j10]Shaoyong Li, Tianrui Li, Zhixue Zhang, Hongmei Chen, Junbo Zhang:
Parallel computing of approximations in dominance-based rough sets approach. Knowl. Based Syst. 87: 102-111 (2015) - [j9]Junbo Zhang, Jian-Syuan Wong, Yi Pan, Tianrui Li:
A Parallel Matrix-Based Method for Computing Approximations in Incomplete Information Systems. IEEE Trans. Knowl. Data Eng. 27(2): 326-339 (2015) - 2014
- [j8]Anping Zeng, Tianrui Li, Junbo Zhang, Hongmei Chen:
Incremental Maintenance of Rough Fuzzy Set Approximations under the Variation of Object Set. Fundam. Informaticae 132(3): 401-422 (2014) - [j7]Junbo Zhang, Jian-Syuan Wong, Tianrui Li, Yi Pan:
A comparison of parallel large-scale knowledge acquisition using rough set theory on different MapReduce runtime systems. Int. J. Approx. Reason. 55(3): 896-907 (2014) - [j6]Dun Liu, Tianrui Li, Junbo Zhang:
A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems. Int. J. Approx. Reason. 55(8): 1764-1786 (2014) - [j5]Junbo Zhang, Tianrui Li, Hongmei Chen:
Composite rough sets for dynamic data mining. Inf. Sci. 257: 81-100 (2014) - 2012
- [j4]Junbo Zhang, Tianrui Li, Da Ruan, Dun Liu:
Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems. Int. J. Approx. Reason. 53(4): 620-635 (2012) - [j3]Junbo Zhang, Tianrui Li, Da Ruan, Dun Liu:
Neighborhood rough sets for dynamic data mining. Int. J. Intell. Syst. 27(4): 317-342 (2012) - [j2]Junbo Zhang, Tianrui Li, Da Ruan, Zizhe Gao, Chengbing Zhao:
A parallel method for computing rough set approximations. Inf. Sci. 194: 209-223 (2012) - 2011
- [j1]Dun Liu, Tianrui Li, Da Ruan, Junbo Zhang:
Incremental learning optimization on knowledge discovery in dynamic business intelligent systems. J. Glob. Optim. 51(2): 325-344 (2011)
Conference and Workshop Papers
- 2025
- [c53]Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang:
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks. AAAI 2025: 28467-28475 - [c52]Guannan Lai, Yujie Li, Xiangkun Wang, Junbo Zhang, Tianrui Li, Xin Yang:
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping. CVPR 2025: 4894-4904 - [c51]Bin Wang, Yongqi Han, Minbo Ma, Tianrui Li, Junbo Zhang, Feng Hong, Yanwei Yu:
Non-collective Calibrating Strategy for Time Series Forecasting. IJCAI 2025: 3335-3343 - 2024
- [c50]Songyu Ke, Yuxuan Liang, Xiuwen Yi, Junbo Zhang, Yu Zheng:
GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference. IJCNN 2024: 1-8 - [c49]Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li:
Personalized Federated Continual Learning via Multi-Granularity Prompt. KDD 2024: 4023-4034 - [c48]Dekang Qi, Xiuwen Yi, Chengjie Guo, Yanyong Huang, Junbo Zhang, Tianrui Li, Yu Zheng:
Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction. KDD 2024: 5590-5601 - [c47]Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye:
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). KDD 2024: 6722-6723 - 2023
- [c46]Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng:
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation. AAAI 2023: 4149-4156 - [c45]Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. AAAI 2023: 4356-4364 - [c44]Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang:
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. AAAI 2023: 4902-4910 - [c43]Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. AAAI 2023: 14329-14337 - [c42]Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao:
MLPST: MLP is All You Need for Spatio-Temporal Prediction. CIKM 2023: 3381-3390 - [c41]Yuhao Zheng, Lian Zhong, Senzhang Wang, Yu Yang, Weixi Gu, Junbo Zhang, Jianxin Wang:
DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model. CIKM 2023: 3505-3513 - 2022
- [c40]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
TrajFormer: Efficient Trajectory Classification with Transformers. CIKM 2022: 1229-1237 - [c39]Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang:
Generative-Free Urban Flow Imputation. CIKM 2022: 2028-2037 - [c38]Zhewen Duan, Xiuwen Yi, Peng Li, Dekang Qi, Yexin Li, Haoran Xu, Yanyong Huang, Junbo Zhang, Yu Zheng:
Multi-memory Enhanced Separation Network for Indoor Temperature Prediction. DASFAA (2) 2022: 656-663 - [c37]Li Song, Kainan Bao, Songyu Ke, Chunyang Li, Junbo Zhang, Yu Zheng:
Efficient Spatio-Temporal Randomly Wired Neural Networks for Traffic Forecasting. ICDM (Workshops) 2022: 1-8 - [c36]Jiahao Ji, Jingyuan Wang, Junjie Wu, Boyang Han, Junbo Zhang, Yu Zheng:
Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning. KDD 2022: 3072-3080 - [c35]Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye:
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD 2022: 4878-4879 - 2021
- [c34]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI 2021: 15008-15015 - [c33]Tianfu He, Guochun Chen, Chuishi Meng, Huajun He, Zheyi Pan, Yexin Li, Sijie Ruan, Huimin Ren, Ye Yuan, Ruiyuan Li, Junbo Zhang, Jie Bao, Hui He, Yu Zheng:
POI Alias Discovery in Delivery Addresses using User Locations. SIGSPATIAL/GIS 2021: 225-228 - [c32]Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann:
Fine-Grained Urban Flow Prediction. WWW 2021: 1833-1845 - [c31]Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng:
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱. WWW 2021: 1846-1855 - 2020
- [c30]Xiaodu Yang, Xiuwen Yi, Shun Chen, Sijie Ruan, Junbo Zhang, Yu Zheng, Tianrui Li:
You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users. CIKM 2020: 2885-2892 - [c29]Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng:
AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction. KDD 2020: 794-802 - [c28]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum:
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics. ECML/PKDD (1) 2020: 578-594 - 2019
- [c27]Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. ACL (1) 2019: 591-601 - [c26]Xiuwen Yi, Zhewen Duan, Ting Li, Tianrui Li, Junbo Zhang, Yu Zheng:
CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach. CIKM 2019: 2665-2671 - [c25]Zheyi Pan, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang, Yu Zheng:
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction. CIKM 2019: 2683-2691 - [c24]Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang:
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning. KDD 2019: 1720-1730 - [c23]Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng:
UrbanFM: Inferring Fine-Grained Urban Flows. KDD 2019: 3132-3142 - 2018
- [c22]Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng:
When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks. AAAI 2018: 2500-2507 - [c21]Chao Huang, Junbo Zhang, Yu Zheng, Nitesh V. Chawla:
DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction. CIKM 2018: 1423-1432 - [c20]Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng:
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction. IJCAI 2018: 3428-3434 - [c19]Xiuwen Yi, Junbo Zhang, Zhaoyuan Wang, Tianrui Li, Yu Zheng:
Deep Distributed Fusion Network for Air Quality Prediction. KDD 2018: 965-973 - 2017
- [c18]Junbo Zhang, Yu Zheng, Dekang Qi:
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction. AAAI 2017: 1655-1661 - 2016
- [c17]Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi:
DNN-based prediction model for spatio-temporal data. SIGSPATIAL/GIS 2016: 92:1-92:4 - [c16]Xiuwen Yi, Yu Zheng, Junbo Zhang, Tianrui Li:
ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data. IJCAI 2016: 2704-2710 - 2015
- [c15]Tianrui Li, Chuan Luo, Hongmei Chen, Junbo Zhang:
PICKT: A Solution for Big Data Analysis. RSKT 2015: 15-25 - 2013
- [c14]Anping Zeng, Tianrui Li, Chuan Luo, Junbo Zhang:
An incremental approach for updating approximations of rough fuzzy set under the variation of attribute values. CIDUE 2013: 54-60 - [c13]Junbo Zhang, Jian-Syuan Wong, Yi Pan, Tianrui Li:
H2T: A Simple Hadoop-to-Twister Translator for Cloud Computing. ISBAST 2013: 180-186 - [c12]Junbo Zhang, Tianrui Li, Yi Pan:
PLAR: Parallel Large-Scale Attribute Reduction on Cloud Systems. PDCAT 2013: 184-191 - [c11]Anping Zeng, Tianrui Li, Chuan Luo, Junbo Zhang, Yan Yang:
A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems. RSFDGrC 2013: 157-168 - [c10]Junbo Zhang, Yun Zhu, Yi Pan, Tianrui Li:
A Parallel Implementation of Computing Composite Rough Set Approximations on GPUs. RSKT 2013: 240-250 - 2012
- [c9]Junbo Zhang, Tianrui Li, Hongmei Chen:
Composite Rough Sets. AICI 2012: 150-159 - [c8]Junbo Zhang, Tianrui Li, Yi Pan:
Parallel rough set based knowledge acquisition using MapReduce from big data. BigMine 2012: 20-27 - [c7]Anping Zeng, Tianrui Li, Junbo Zhang, Dun Liu:
An Incremental Approach for Updating Approximations of Rough Fuzzy Sets under the Variation of the Object Set. RSCTC 2012: 36-45 - 2011
- [c6]Junbo Zhang, Tianrui Li, Yan Yang, Lei Wang:
Neighborhood Rough Sets Based Matrix Approach for Calculation of the Approximations. RSKT 2011: 166-171 - 2010
- [c5]Hongmei Chen, Tianrui Li, Junbo Zhang:
A Method for Incremental Updating Approximations when Objects and Attributes Vary with Time. GrC 2010: 90-95 - [c4]Hongmei Chen, Tianrui Li, Junbo Zhang:
A Method for Incremental Updating Approximations Based on Variable Precision Set-Valued Ordered Information Systems. GrC 2010: 96-101 - [c3]Shaoyong Li, Tianrui Li, Junbo Zhang:
Approaches for dynamically updating set approximations in dominance based rough sets while condition attributes value coarsening and refining. ISKE 2010: 27-32 - [c2]Junbo Zhang, Tianrui Li, Lei Wang:
A new method for calculation of the approximations under the probabilistic rough sets. ISKE 2010: 73-76 - [c1]Junbo Zhang, Tianrui Li, Dun Liu:
An approach for incremental updating approximations in Variable precision rough sets while attribute generalized. ISKE 2010: 77-81
Parts in Books or Collections
- 2012
- [p1]Junbo Zhang, Tianrui Li, Da Ruan:
Rough Sets Based Incremental Rule Acquisition in Set-Valued Information Systems. Autonomous Systems: Developments and Trends 2012: 135-146
Informal and Other Publications
- 2025
- [i31]Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang:
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks. CoRR abs/2501.13141 (2025) - [i30]Guannan Lai, Yujie Li, Xiangkun Wang, Junbo Zhang, Tianrui Li, Xin Yang:
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping. CoRR abs/2502.20032 (2025) - [i29]Yujie Li, Xiangkun Wang, Xin Yang, Marcello M. Bonsangue, Junbo Zhang, Tianrui Li:
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data. CoRR abs/2502.20974 (2025) - [i28]Bin Wang, Yongqi Han, Minbo Ma, Tianrui Li, Junbo Zhang, Feng Hong, Yanwei Yu:
Non-collective Calibrating Strategy for Time Series Forecasting. CoRR abs/2506.03176 (2025) - [i27]Songyu Ke, Chenyu Wu, Yuxuan Liang, Xiuwen Yi, Yanping Sun, Junbo Zhang, Yu Zheng:
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values. CoRR abs/2508.14083 (2025) - 2024
- [i26]Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang:
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook. CoRR abs/2402.19348 (2024) - [i25]Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li:
Personalized Federated Continual Learning via Multi-granularity Prompt. CoRR abs/2407.00113 (2024) - [i24]Peng Xie, Minbo Ma, Bin Wang, Junbo Zhang, Tianrui Li:
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Method. CoRR abs/2409.04942 (2024) - 2023
- [i23]Guangyin Jin, Yuxuan Liang, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng:
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. CoRR abs/2303.14483 (2023) - [i22]Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang:
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. CoRR abs/2304.09174 (2023) - [i21]Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao:
MLPST: MLP is All You Need for Spatio-Temporal Prediction. CoRR abs/2309.13363 (2023) - [i20]Xin Yang, Hao Yu, Xin Gao, Hao Wang, Junbo Zhang, Tianrui Li:
Federated Continual Learning via Knowledge Fusion: A Survey. CoRR abs/2312.16475 (2023) - 2022
- [i19]Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang:
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction. CoRR abs/2204.02650 (2022) - [i18]Gaode Chen, Yijun Su, Xinghua Zhang, Anmin Hu, Guochun Chen, Siyuan Feng, Ji Xiang, Junbo Zhang, Yu Zheng:
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling. CoRR abs/2206.00007 (2022) - [i17]Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. CoRR abs/2211.15979 (2022) - [i16]Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. CoRR abs/2212.04475 (2022) - 2021
- [i15]Tianfu He, Guochun Chen, Chuishi Meng, Huajun He, Zheyi Pan, Yexin Li, Sijie Ruan, Huimin Ren, Ye Yuan, Ruiyuan Li, Junbo Zhang, Jie Bao, Hui He, Yu Zheng:
POI Alias Discovery in Delivery Addresses using User Locations. CoRR abs/2109.09290 (2021) - [i14]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. CoRR abs/2110.04038 (2021) - 2020
- [i13]Yang Liu, Mingxin Chen, Wenxi Zhang, Junbo Zhang, Yu Zheng:
Federated Extra-Trees with Privacy Preserving. CoRR abs/2002.07323 (2020) - [i12]Yuxuan Liang, Kun Ouyang, Junbo Zhang, Yu Zheng, David S. Rosenblum:
Revisiting Convolutional Neural Networks for Urban Flow Analytics. CoRR abs/2003.00895 (2020) - [i11]Huaishao Luo, Chuishi Meng, Bowen Wu, Junbo Zhang, Tianrui Li, Yu Zheng:
ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition. CoRR abs/2007.06794 (2020) - [i10]Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang:
Fairness and Accuracy in Federated Learning. CoRR abs/2012.10069 (2020) - 2019
- [i9]Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng:
UrbanFM: Inferring Fine-Grained Urban Flows. CoRR abs/1902.05377 (2019) - [i8]Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yu Zheng:
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks. CoRR abs/1903.07789 (2019) - [i7]Yang Liu, Yingting Liu, Zhijie Liu, Junbo Zhang, Chuishi Meng, Yu Zheng:
Federated Forest. CoRR abs/1905.10053 (2019) - [i6]Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. CoRR abs/1906.01794 (2019) - [i5]Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang:
Urban flows prediction from spatial-temporal data using machine learning: A survey. CoRR abs/1908.10218 (2019) - 2018
- [i4]Zheyi Pan, Yuxuan Liang, Junbo Zhang, Xiuwen Yi, Yong Yu, Yu Zheng:
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting. CoRR abs/1809.10889 (2018) - 2017
- [i3]Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui Li:
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks. CoRR abs/1701.02543 (2017) - 2016
- [i2]Junbo Zhang, Yu Zheng, Dekang Qi:
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction. CoRR abs/1610.00081 (2016) - [i1]Junbo Zhang, Tianrui Li, Yi Pan:
Parallel Large-Scale Attribute Reduction on Cloud Systems. CoRR abs/1610.01807 (2016)
Coauthor Index
[j55] [j54] [j53] [j52] [j51] [j50] [j48] [j47] [j45] [j43] [j41] [j40] [j38] [j37] [j36] [j32] [j31] [j29] [j25] [j23] [j21] [j20] [j17] [j16] [j15] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c52] [c51] [c49] [c48] [c30] [c27] [c26] [c19] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [p1] [i30] [i29] [i28] [i26] [i25] [i24] [i20] [i19] [i11] [i10] [i6] [i5] [i3] [i1]
[j54] [j50] [j47] [j44] [j42] [j40] [j39] [j36] [j34] [j33] [j30] [j29] [j27] [j26] [j25] [j24] [j20] [j19] [j18] [j17] [c50] [c48] [c46] [c45] [c43] [c40] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i27] [i23] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i9] [i8] [i7] [i4] [i3] [i2]
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