Junbo Zhang

146 papers A* 23A 11B 1C 1Misc 5Journal 88Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Federated learning for spatio-temporal data mining: a survey.
Inf. Fusion
Wei Huang, Junling Chen, Zhan Lin, Feng Wang, Jie Wang, Dexian Wang, Xiaocao Ouyang, Tianrui Li, Junbo Zhang
2026 J jnl
LCMF: A LLM-enhanced cross-modal fusion framework for universal temporal forecasting.
Knowl. Based Syst.
Shengdong Du, Junlong Jiang, Haochen Shi, Yan Yang, Junbo Zhang, Tianrui Li, Yu Zheng
2025 J jnl
A Knowledge-Guided Pre-Training Temporal Data Analysis Foundation Model for Urban Computing.
IEEE Trans. Knowl. Data Eng.
Haochen Shi, Shengdong Du, Yan Yang, Junbo Zhang, Tianrui Li, Yu Zheng
2025 J jnl
Adversarial Transfer Learning-Based Hybrid Recurrent Network for Air Quality Prediction.
Int. J. Intell. Syst.
Yanqi Hao, Chuan Luo, Tianrui Li, Junbo Zhang, Hongmei Chen
2025 A* conf
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks.
AAAI
Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang
2025 J jnl
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks.
CoRR
Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang
2025 J jnl
Burst-Sensitive Traffic Forecast via Multi-Property Personalized Fusion in Federated Learning.
IEEE Trans. Mob. Comput.
Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Xuying Meng, Jingyuan Wang, Junbo Zhang, Ke Xu
2025 J jnl
Daily Schedule Recommendation in Urban Life Based on Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jia Liu, Donghai Zhai, Wei Huang, Shenggong Ji, Junbo Zhang, Tianrui Li
2025 J jnl
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook.
Inf. Fusion
Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang
2025 J jnl
Enhancing cross-city spatio-temporal prediction via dynamic multi-scale hypergraph learning with domain adversarial training.
Knowl. Based Syst.
Xiaocao Ouyang, Yanhua Li, Jie Zhang, Xin Yang, Yan Yang, Junbo Zhang, Wei Huang, Tianrui Li, Zhiquan Liu
2025 J jnl
Enhancing few-sample spatio-temporal prediction via relational fusion-based hypergraph neural network.
Inf. Fusion
Xiaocao Ouyang, Yanhua Li, Dongyu Guo, Wei Huang, Xin Yang, Yan Yang, Junbo Zhang, Tianrui Li
2025 A conf
General Adaptive Memory Allocation for Learned Bloom Filters.
CIKM
You Shang, Xiang He, Ruiyuan Li, Yingying Sun, Guanyao Li, Guangchao Yang, Junbo Zhang, Yu Zheng
2025 J jnl
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values.
CoRR
Songyu Ke, Chenyu Wu, Yuxuan Liang, Xiuwen Yi, Yanping Sun, Junbo Zhang, Yu Zheng
2025 — conf
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data.
KDD (2)
Yujie Li, Xiangkun Wang, Xin Yang, Marcello M. Bonsangue, Junbo Zhang, Tianrui Li
2025 J jnl
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data.
CoRR
Yujie Li, Xiangkun Wang, Xin Yang, Marcello M. Bonsangue, Junbo Zhang, Tianrui Li
2025 A* conf
Non-collective Calibrating Strategy for Time Series Forecasting.
IJCAI
Bin Wang, Yongqi Han, Minbo Ma, Tianrui Li, Junbo Zhang, Feng Hong, Yanwei Yu
2025 J jnl
Non-collective Calibrating Strategy for Time Series Forecasting.
CoRR
Bin Wang, Yongqi Han, Minbo Ma, Tianrui Li, Junbo Zhang, Feng Hong, Yanwei Yu
2025 A* conf
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping.
CVPR
Guannan Lai, Yujie Li, Xiangkun Wang, Junbo Zhang, Tianrui Li, Xin Yang
2025 J jnl
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping.
CoRR
Guannan Lai, Yujie Li, Xiangkun Wang, Junbo Zhang, Tianrui Li, Xin Yang
2025 J jnl
Pre-training Enhanced Transformer for multivariate time series anomaly detection.
Inf. Fusion
Chao Wang, Haochen Shi, Jie Hu, Xin Yang, Junbo Zhang, Shengdong Du, Tianrui Li
2025 A conf
Spatial Semantic-based Enhanced Address Parsing via Adaptive Weighted Learning.
CIKM
Huiling Qin, Ming Wang, Yuanxun Li, Junbo Zhang, Yu Zheng
2025 A conf
Spatio-Temporal Forecasting under Open-World Missingness with Adaptive Mixture-of-Experts.
CIKM
Chenyu Wu, Zhipeng Ma, Junbo Zhang, Songyu Ke, Yu Zheng
2024 J jnl
Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer.
IEEE Trans. Knowl. Data Eng.
Yujie Li, Xin Yang, Qiang Gao, Hao Wang, Junbo Zhang, Tianrui Li
2024 J jnl
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook.
CoRR
Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang
2024 J jnl
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation.
ACM Trans. Intell. Syst. Technol.
Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Junbo Zhang, Zeju Li, Qingxiang Liu
2024 J jnl
Federated Continual Learning via Knowledge Fusion: A Survey.
IEEE Trans. Knowl. Data Eng.
Xin Yang, Hao Yu, Xin Gao, Hao Wang, Junbo Zhang, Tianrui Li
2024 B conf
GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference.
IJCNN
Songyu Ke, Yuxuan Liang, Xiuwen Yi, Junbo Zhang, Yu Zheng
2024 J jnl
Multi-scale feature enhanced spatio-temporal learning for traffic flow forecasting.
Knowl. Based Syst.
Shengdong Du, Tao Yang, Fei Teng, Junbo Zhang, Tianrui Li, Yu Zheng
2024 A* conf
Personalized Federated Continual Learning via Multi-Granularity Prompt.
KDD
Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li
2024 J jnl
Personalized Federated Continual Learning via Multi-granularity Prompt.
CoRR
Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li
2024 A* conf
Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction.
KDD
Dekang Qi, Xiuwen Yi, Chengjie Guo, Yanyong Huang, Junbo Zhang, Tianrui Li, Yu Zheng
2024 J jnl
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
IEEE Trans. Knowl. Data Eng.
Guangyin Jin, Yuxuan Liang, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng
2024 A* conf
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24).
KDD
Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye
2024 J jnl
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Method.
CoRR
Peng Xie, Minbo Ma, Bin Wang, Junbo Zhang, Tianrui Li
2023 A* conf
AirFormer: Predicting Nationwide Air Quality in China with Transformers.
AAAI
Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann
2023 J jnl
AutoSTG
Artif. Intell.
Songyu Ke, Zheyi Pan, Tianfu He, Yuxuan Liang, Junbo Zhang, Yu Zheng
2023 A* conf
AutoSTL: Automated Spatio-Temporal Multi-Task Learning.
AAAI
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
2023 J jnl
AutoSTL: Automated Spatio-Temporal Multi-Task Learning.
CoRR
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
2023 J jnl
Cross-Domain Knowledge Graph Chiasmal Embedding for Multi-Domain Item-Item Recommendation.
IEEE Trans. Knowl. Data Eng.
Jia Liu, Wei Huang, Tianrui Li, Shenggong Ji, Junbo Zhang
2023 A conf
DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model.
CIKM
Yuhao Zheng, Lian Zhong, Senzhang Wang, Yu Yang, Weixi Gu, Junbo Zhang, Jianxin Wang
2023 J jnl
Federated Continual Learning via Knowledge Fusion: A Survey.
CoRR
Xin Yang, Hao Yu, Xin Gao, Hao Wang, Junbo Zhang, Tianrui Li
2023 J jnl
Fine-Grained Urban Flow Inference With Incomplete Data.
IEEE Trans. Knowl. Data Eng.
Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang, Philip S. Yu
2023 J jnl
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision.
IEEE Trans. Knowl. Data Eng.
Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin
2023 J jnl
HiSTGNN: Hierarchical spatio-temporal graph neural network for weather forecasting.
Inf. Sci.
Minbo Ma, Peng Xie, Fei Teng, Bin Wang, Shenggong Ji, Junbo Zhang, Tianrui Li
2023 J jnl
Housing rental suggestion based on e-commerce data.
Knowl. Based Syst.
Zhaoyuan Wang, Shun Chen, Shenggong Ji, Zheyi Pan, Chuishi Meng, Junbo Zhang, Tianrui Li, Yu Zheng
2023 A conf
MLPST: MLP is All You Need for Spatio-Temporal Prediction.
CIKM
Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao
2023 J jnl
MLPST: MLP is All You Need for Spatio-Temporal Prediction.
CoRR
Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao
2023 J jnl
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting.
IEEE Trans. Knowl. Data Eng.
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Zheyi Pan, Yifang Yin, Hongyang Chen, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann
2023 J jnl
Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning.
IEEE Trans. Knowl. Data Eng.
Zhaoyuan Wang, Zheyi Pan, Shun Chen, Shenggong Ji, Xiuwen Yi, Junbo Zhang, Jingyuan Wang, Zhiguo Gong, Tianrui Li, Yu Zheng
2023 J jnl
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction.
IEEE Trans. Knowl. Data Eng.
Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang
2023 J jnl
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
CoRR
Guangyin Jin, Yuxuan Liang, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng
2023 A* conf
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction.
AAAI
Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng
2023 J jnl
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System.
IEEE Trans. Knowl. Data Eng.
Ruiyuan Li, Huajun He, Rubin Wang, Sijie Ruan, Tianfu He, Jie Bao, Junbo Zhang, Liang Hong, Yu Zheng
2023 J jnl
Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding.
IEEE Trans. Knowl. Data Eng.
Jia Liu, Tianrui Li, Shenggong Ji, Peng Xie, Shengdong Du, Fei Teng, Junbo Zhang
2023 A* conf
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation.
AAAI
Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng
2022 J jnl
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling.
CoRR
Gaode Chen, Yijun Su, Xinghua Zhang, Anmin Hu, Guochun Chen, Siyuan Feng, Ji Xiang, Junbo Zhang, Yu Zheng
2022 J jnl
AirFormer: Predicting Nationwide Air Quality in China with Transformers.
CoRR
Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann
2022 A* conf
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
KDD
Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye
2022 — conf
Efficient Spatio-Temporal Randomly Wired Neural Networks for Traffic Forecasting.
ICDM (Workshops)
Li Song, Kainan Bao, Songyu Ke, Chunyang Li, Junbo Zhang, Yu Zheng
2022 J jnl
Fairness and accuracy in horizontal federated learning.
Inf. Sci.
Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang, Tianqiang Huang
2022 J jnl
Federated Forest.
IEEE Trans. Big Data
Yang Liu, Yingting Liu, Zhijie Liu, Yuxuan Liang, Chuishi Meng, Junbo Zhang, Yu Zheng
2022 J jnl
Gas-Theft Suspect Detection Among Boiler Room Users: A Data-Driven Approach.
IEEE Trans. Knowl. Data Eng.
Xiuwen Yi, Xiaodu Yang, Yanyong Huang, Songyu Ke, Junbo Zhang, Tianrui Li, Yu Zheng
2022 A conf
Generative-Free Urban Flow Imputation.
CIKM
Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang
2022 J jnl
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2.
ACM Trans. Intell. Syst. Technol.
Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li
2022 — conf
Multi-memory Enhanced Separation Network for Indoor Temperature Prediction.
DASFAA (2)
Zhewen Duan, Xiuwen Yi, Peng Li, Dekang Qi, Yexin Li, Haoran Xu, Yanyong Huang, Junbo Zhang, Yu Zheng
2022 A* conf
Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning.
KDD
Jiahao Ji, Jingyuan Wang, Junjie Wu, Boyang Han, Junbo Zhang, Yu Zheng
2022 J jnl
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng.
Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng
2022 J jnl
Predicting Fine-Grained Air Quality Based on Deep Neural Networks.
IEEE Trans. Big Data
Xiuwen Yi, Zhewen Duan, Ruiyuan Li, Junbo Zhang, Tianrui Li, Yu Zheng
2022 J jnl
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction.
CoRR
Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang
2022 J jnl
Spatio-Temporal Meta Learning for Urban Traffic Prediction.
IEEE Trans. Knowl. Data Eng.
Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng
2022 J jnl
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction.
CoRR
Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng
2022 A conf
TrajFormer: Efficient Trajectory Classification with Transformers.
CIKM
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann
2021 J jnl
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1.
ACM Trans. Intell. Syst. Technol.
Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li
2021 A* conf
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱.
WWW
Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng
2021 J jnl
Federated Digital Gateway: Methodologies, Tools, and Applications.
IEEE Intell. Syst.
Yang Liu, Ruolan Wang, Shishuai Du, Junbo Zhang, Yu Zheng
2021 A* conf
Fine-Grained Urban Flow Prediction.
WWW
Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann
2021 J jnl
Multi-source information fusion based on rough set theory: A review.
Inf. Fusion
Pengfei Zhang, Tianrui Li, Guoqiang Wang, Chuan Luo, Hongmei Chen, Junbo Zhang, Dexian Wang, Zeng Yu
2021 — conf
POI Alias Discovery in Delivery Addresses using User Locations.
SIGSPATIAL/GIS
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
2021 J jnl
POI Alias Discovery in Delivery Addresses using User Locations.
CoRR
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
2021 A* conf
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network.
AAAI
Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
2021 J jnl
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network.
CoRR
Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
2020 A* conf
AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction.
KDD
Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng
2020 J jnl
Fairness and Accuracy in Federated Learning.
CoRR
Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang
2020 J jnl
Federated Extra-Trees with Privacy Preserving.
CoRR
Yang Liu, Mingxin Chen, Wenxi Zhang, Junbo Zhang, Yu Zheng
2020 J jnl
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning.
IEEE Trans. Knowl. Data Eng.
Junbo Zhang, Yu Zheng, Junkai Sun, Dekang Qi
2020 J jnl
Predicting and ranking box office revenue of movies based on big data.
Inf. Fusion
Zhaoyuan Wang, Junbo Zhang, Shenggong Ji, Chuishi Meng, Tianrui Li, Yu Zheng
2020 J jnl
ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition.
CoRR
Huaishao Luo, Chuishi Meng, Bowen Wu, Junbo Zhang, Tianrui Li, Yu Zheng
2020 — conf
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics.
ECML/PKDD (1)
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum
2020 J jnl
Revisiting Convolutional Neural Networks for Urban Flow Analytics.
CoRR
Yuxuan Liang, Kun Ouyang, Junbo Zhang, Yu Zheng, David S. Rosenblum
2020 J jnl
Urban flow prediction from spatiotemporal data using machine learning: A survey.
Inf. Fusion
Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang
2020 A conf
You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users.
CIKM
Xiaodu Yang, Xiuwen Yi, Shun Chen, Sijie Ruan, Junbo Zhang, Yu Zheng, Tianrui Li
2019 J jnl
CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Qianru Wang, Junbo Zhang, Bin Guo, Zexia Hao, Yifang Zhou, Junkai Sun, Zhiwen Yu, Yu Zheng
2019 A conf
CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach.
CIKM
Xiuwen Yi, Zhewen Duan, Ting Li, Tianrui Li, Junbo Zhang, Yu Zheng
2019 — conf
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction.
ACL (1)
Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang
2019 J jnl
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction.
CoRR
Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang
2019 J jnl
Federated Forest.
CoRR
Yang Liu, Yingting Liu, Zhijie Liu, Junbo Zhang, Chuishi Meng, Yu Zheng
2019 A conf
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction.
CIKM
Zheyi Pan, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang, Yu Zheng
2019 J jnl
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks.
CoRR
Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yu Zheng
2019 A* conf
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning.
KDD
Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang
2019 J jnl
Urban flows prediction from spatial-temporal data using machine learning: A survey.
CoRR
Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang
2019 A* conf
UrbanFM: Inferring Fine-Grained Urban Flows.
KDD
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
2019 J jnl
UrbanFM: Inferring Fine-Grained Urban Flows.
CoRR
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
2018 A* conf
Deep Distributed Fusion Network for Air Quality Prediction.
KDD
Xiuwen Yi, Junbo Zhang, Zhaoyuan Wang, Tianrui Li, Yu Zheng
2018 A conf
DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction.
CIKM
Chao Huang, Junbo Zhang, Yu Zheng, Nitesh V. Chawla
2018 A* conf
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction.
IJCAI
Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng
2018 J jnl
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting.
CoRR
Zheyi Pan, Yuxuan Liang, Junbo Zhang, Xiuwen Yi, Yong Yu, Yu Zheng
2018 J jnl
Predicting citywide crowd flows using deep spatio-temporal residual networks.
Artif. Intell.
Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui Li
2018 A* conf
When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks.
AAAI
Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng
2017 A* conf
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction.
AAAI
Junbo Zhang, Yu Zheng, Dekang Qi
2017 J jnl
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks.
CoRR
Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui Li
2016 — conf
DNN-based prediction model for spatio-temporal data.
SIGSPATIAL/GIS
Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi
2016 J jnl
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction.
CoRR
Junbo Zhang, Yu Zheng, Dekang Qi
2016 J jnl
Efficient parallel boolean matrix based algorithms for computing composite rough set approximations.
Inf. Sci.
Junbo Zhang, Yun Zhu, Yi Pan, Tianrui Li
2016 J jnl
Incremental updating of rough approximations in interval-valued information systems under attribute generalization.
Inf. Sci.
Yingying Zhang, Tianrui Li, Chuan Luo, Junbo Zhang, Hongmei Chen
2016 J jnl
J2M: a Java to MapReduce translator for cloud computing.
J. Supercomput.
Bing Li, Junbo Zhang, Ning Yu, Yi Pan
2016 J jnl
Parallel Large-Scale Attribute Reduction on Cloud Systems.
CoRR
Junbo Zhang, Tianrui Li, Yi Pan
2016 A* conf
ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data.
IJCAI
Xiuwen Yi, Yu Zheng, Junbo Zhang, Tianrui Li
2015 J jnl
A Parallel Matrix-Based Method for Computing Approximations in Incomplete Information Systems.
IEEE Trans. Knowl. Data Eng.
Junbo Zhang, Jian-Syuan Wong, Yi Pan, Tianrui Li
2015 J jnl
A fuzzy rough set approach for incremental feature selection on hybrid information systems.
Fuzzy Sets Syst.
Anping Zeng, Tianrui Li, Dun Liu, Junbo Zhang, Hongmei Chen
2015 J jnl
Incremental updating approximations in probabilistic rough sets under the variation of attributes.
Knowl. Based Syst.
Dun Liu, Tianrui Li, Junbo Zhang
2015 — conf
PICKT: A Solution for Big Data Analysis.
RSKT
Tianrui Li, Chuan Luo, Hongmei Chen, Junbo Zhang
2015 J jnl
Parallel computing of approximations in dominance-based rough sets approach.
Knowl. Based Syst.
Shaoyong Li, Tianrui Li, Zhixue Zhang, Hongmei Chen, Junbo Zhang
2015 J jnl
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
Xiuwen Yi, Tianrui Li, Junbo Zhang, Fei Teng
2014 J jnl
A comparison of parallel large-scale knowledge acquisition using rough set theory on different MapReduce runtime systems.
Int. J. Approx. Reason.
Junbo Zhang, Jian-Syuan Wong, Tianrui Li, Yi Pan
2014 J jnl
A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems.
Int. J. Approx. Reason.
Dun Liu, Tianrui Li, Junbo Zhang
2014 J jnl
Composite rough sets for dynamic data mining.
Inf. Sci.
Junbo Zhang, Tianrui Li, Hongmei Chen
2014 J jnl
Incremental Maintenance of Rough Fuzzy Set Approximations under the Variation of Object Set.
Fundam. Informaticae
Anping Zeng, Tianrui Li, Junbo Zhang, Hongmei Chen
2013 — conf
A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems.
RSFDGrC
Anping Zeng, Tianrui Li, Chuan Luo, Junbo Zhang, Yan Yang
2013 — conf
A Parallel Implementation of Computing Composite Rough Set Approximations on GPUs.
RSKT
Junbo Zhang, Yun Zhu, Yi Pan, Tianrui Li
2013 — conf
An incremental approach for updating approximations of rough fuzzy set under the variation of attribute values.
CIDUE
Anping Zeng, Tianrui Li, Chuan Luo, Junbo Zhang
2013 — conf
H2T: A Simple Hadoop-to-Twister Translator for Cloud Computing.
ISBAST
Junbo Zhang, Jian-Syuan Wong, Yi Pan, Tianrui Li
2013 C conf
PLAR: Parallel Large-Scale Attribute Reduction on Cloud Systems.
PDCAT
Junbo Zhang, Tianrui Li, Yi Pan
2012 J jnl
A parallel method for computing rough set approximations.
Inf. Sci.
Junbo Zhang, Tianrui Li, Da Ruan, Zizhe Gao, Chengbing Zhao
2012 — conf
An Incremental Approach for Updating Approximations of Rough Fuzzy Sets under the Variation of the Object Set.
RSCTC
Anping Zeng, Tianrui Li, Junbo Zhang, Dun Liu
2012 — conf
Composite Rough Sets.
AICI
Junbo Zhang, Tianrui Li, Hongmei Chen
2012 J jnl
Neighborhood rough sets for dynamic data mining.
Int. J. Intell. Syst.
Junbo Zhang, Tianrui Li, Da Ruan, Dun Liu
2012 — conf
Parallel rough set based knowledge acquisition using MapReduce from big data.
BigMine
Junbo Zhang, Tianrui Li, Yi Pan
2012 — ch.
Rough Sets Based Incremental Rule Acquisition in Set-Valued Information Systems.
Autonomous Systems: Developments and Trends
Junbo Zhang, Tianrui Li, Da Ruan
2012 J jnl
Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems.
Int. J. Approx. Reason.
Junbo Zhang, Tianrui Li, Da Ruan, Dun Liu
2011 J jnl
Incremental learning optimization on knowledge discovery in dynamic business intelligent systems.
J. Glob. Optim.
Dun Liu, Tianrui Li, Da Ruan, Junbo Zhang
2011 — conf
Neighborhood Rough Sets Based Matrix Approach for Calculation of the Approximations.
RSKT
Junbo Zhang, Tianrui Li, Yan Yang, Lei Wang
2010 Misc conf
A Method for Incremental Updating Approximations Based on Variable Precision Set-Valued Ordered Information Systems.
GrC
Hongmei Chen, Tianrui Li, Junbo Zhang
2010 Misc conf
A Method for Incremental Updating Approximations when Objects and Attributes Vary with Time.
GrC
Hongmei Chen, Tianrui Li, Junbo Zhang
2010 Misc conf
A new method for calculation of the approximations under the probabilistic rough sets.
ISKE
Junbo Zhang, Tianrui Li, Lei Wang
2010 Misc conf
An approach for incremental updating approximations in Variable precision rough sets while attribute generalized.
ISKE
Junbo Zhang, Tianrui Li, Dun Liu
2010 Misc conf
Approaches for dynamically updating set approximations in dominance based rough sets while condition attributes value coarsening and refining.
ISKE
Shaoyong Li, Tianrui Li, Junbo Zhang