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2020 – today
- 2024
[j3]Zhixin Guo
, Chaoyang Wang, Jianping Zhou, Guanjie Zheng, Xinbing Wang, Chenghu Zhou:
GeoKnowledgeFusion: A Platform for Multimodal Data Compilation from Geoscience Literature. Remote. Sens. 16(9): 1484 (2024)- [c34]Jianping Zhou, Junhao Li, Guanjie Zheng, Xinbing Wang, Chenghu Zhou:
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation. CIKM 2024: 3474-3483 - [c33]Ziyang Su, Zhanyu Liu, Jianrong Ding, Guanjie Zheng:
POI-Based Traffic Generation via Supervised Contrastive Learning on Reconstructed Graph. DASFAA (1) 2024: 225-234 - [c32]Zhixin Guo, Jianping Zhou, Jiexing Qi, Mingxuan Yan, Ziwei He, Guanjie Zheng, Zhouhan Lin, Xinbing Wang, Chenghu Zhou:
Towards Controlled Table-to-Text Generation with Scientific Reasoning. ICASSP 2024: 9951-9955 - [c31]Zhanyu Liu, Ke Hao, Guanjie Zheng, Yanwei Yu:
Dataset Condensation for Time Series Classification via Dual Domain Matching. KDD 2024: 1980-1991 - [c30]Zhanyu Liu, Chaolv Zeng, Guanjie Zheng:
Graph Data Condensation via Self-expressive Graph Structure Reconstruction. KDD 2024: 1992-2002 - [c29]Zhanyu Liu, Jianrong Ding, Guanjie Zheng:
Frequency Enhanced Pre-training for Cross-City Few-shot Traffic Forecasting. ECML/PKDD (2) 2024: 35-52 - [i32]Zhanyu Liu, Guanjie Zheng, Yanwei Yu:
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting. CoRR abs/2402.00397 (2024) - [i31]Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, Chenghu Zhou:
AceMap: Knowledge Discovery through Academic Graph. CoRR abs/2403.02576 (2024) - [i30]Zhanyu Liu, Ke Hao, Guanjie Zheng, Yanwei Yu:
Dataset Condensation for Time Series Classification via Dual Domain Matching. CoRR abs/2403.07245 (2024) - [i29]Zhanyu Liu, Chaolv Zeng, Guanjie Zheng:
Graph Data Condensation via Self-expressive Graph Structure Reconstruction. CoRR abs/2403.07294 (2024) - [i28]Xiang Li, Chaofan Fu, Zhongying Zhao, Guanjie Zheng, Chao Huang, Junyu Dong, Yanwei Yu:
Dual-Channel Multiplex Graph Neural Networks for Recommendation. CoRR abs/2403.11624 (2024) - [i27]Zhixin Guo, Tao Wang, Chaoyang Wang, Jianping Zhou, Guanjie Zheng, Xinbing Wang, Chenghu Zhou:
Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method. CoRR abs/2403.18306 (2024) - [i26]Jianping Zhou, Junhao Li, Guanjie Zheng, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou:
GeoViz: A Multi-View Visualization Platform for Spatio-temporal Knowledge Graph. CoRR abs/2405.03697 (2024) - [i25]Jianrong Ding, Zhanyu Liu, Guanjie Zheng, Haiming Jin, Linghe Kong:
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting. CoRR abs/2406.02131 (2024) - [i24]Zhanyu Liu, Jianrong Ding, Guanjie Zheng:
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting. CoRR abs/2406.02614 (2024) - [i23]Jianping Zhou, Bin Lu, Zhanyu Liu, Siyu Pan, Xuejun Feng, Hua Wei, Guanjie Zheng, Xinbing Wang, Chenghu Zhou:
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data. CoRR abs/2406.03511 (2024) - [i22]Chaolv Zeng, Zhanyu Liu, Guanjie Zheng, Linghe Kong:
C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting. CoRR abs/2406.05316 (2024) - [i21]Jianping Zhou, Junhao Li, Guanjie Zheng, Xinbing Wang, Chenghu Zhou:
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation. CoRR abs/2408.05740 (2024) - [i20]Zhuoheng Li, Yaochen Wang, Zhixue Song, Yuqi Huang, Rui Bao, Guanjie Zheng, Zhenhui Jessie Li:
What can LLM tell us about cities? CoRR abs/2411.16791 (2024) - [i19]Chaolv Zeng, Yuan Tian, Guanjie Zheng, Yunjun Gao:
How Much Can Time-related Features Enhance Time Series Forecasting? CoRR abs/2412.01557 (2024) - 2023
- [c28]Zhixin Guo, Guanjie Zheng, Xinbing Wang, Chenghu Zhou:
GeoImageCut: A Toolkit for Image Cut from Geoscience Literature. ACM TUR-C 2023: 96-97 - [c27]Zhanyu Liu, Guanjie Zheng, Yanwei Yu:
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank. CIKM 2023: 1451-1460 - [c26]Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei:
Uncertainty-aware Traffic Prediction under Missing Data. ICDM 2023: 1223-1228 - [c25]Chaofan Fu, Guanjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong:
Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling. KDD 2023: 482-494 - [c24]Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Kan Wu, Yuhao Du, Fuliang Li, Zhenhui Jessie Li:
CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation. KDD 2023: 4449-4460 - [c23]Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei:
FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph. ECML/PKDD (7) 2023: 174-191 - [i18]Zhixin Guo, Mingxuan Yan, Jiexing Qi, Jianping Zhou, Ziwei He, Zhouhan Lin, Guanjie Zheng, Xinbing Wang:
Few-Shot Table-to-Text Generation with Prompt-based Adapter. CoRR abs/2302.12468 (2023) - [i17]Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li:
HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. CoRR abs/2303.17464 (2023) - [i16]Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei:
FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph. CoRR abs/2306.10945 (2023) - [i15]Zhanyu Liu, Guanjie Zheng, Yanwei Yu:
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank. CoRR abs/2308.09727 (2023) - [i14]Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei:
Uncertainty-aware Traffic Prediction under Missing Data. CoRR abs/2309.06800 (2023) - [i13]Zhixin Guo, Jianping Zhou, Jiexing Qi, Mingxuan Yan, Ziwei He, Guanjie Zheng, Zhouhan Lin, Xinbing Wang, Chenghu Zhou:
Towards Controlled Table-to-Text Generation with Scientific Reasoning. CoRR abs/2312.05402 (2023) - 2022
- [j2]Tao Wen, Chacha Chen, Guanjie Zheng, Joel Bandstra, Susan L. Brantley:
Using a neural network - Physics-based hybrid model to predict soil reaction fronts. Comput. Geosci. 167: 105200 (2022) - [c22]Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma:
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. BIBM 2022: 1777-1780 - [c21]Yiheng Wang, Hexi Jin, Guanjie Zheng:
CTRL: Cooperative Traffic Tolling via Reinforcement Learning. CIKM 2022: 3545-3554 - [c20]Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li:
HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 468-475 - [i12]Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Yuhao Du, Fuliang Li, Zhenhui Li:
CBLab: Scalable Traffic Simulation with Enriched Data Supporting. CoRR abs/2210.00896 (2022) - 2021
- [c19]Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li:
Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. ICDE 2021: 301-312 - [c18]Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li:
Knowledge-based Residual Learning. IJCAI 2021: 1653-1659 - [c17]Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li:
Objective-aware Traffic Simulation via Inverse Reinforcement Learning. IJCAI 2021: 3771-3777 - [c16]Guanjie Zheng, Porter Jenkins, Yanyan Xu, Dongyao Chen:
Overview of the 1st Workshop on City Brain Research. KDD 2021: 4181-4182 - [i11]Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Simulate on Sparse Trajectory Data. CoRR abs/2103.11845 (2021) - [i10]Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Route via Theory-Guided Residual Network. CoRR abs/2105.08279 (2021) - [i9]Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li:
Objective-aware Traffic Simulation via Inverse Reinforcement Learning. CoRR abs/2105.09560 (2021) - [i8]Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma:
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. CoRR abs/2112.06063 (2021) - 2020
- [j1]Hua Wei, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li:
Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation. SIGKDD Explor. 22(2): 12-18 (2020) - [c15]Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li:
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control. AAAI 2020: 1153-1160 - [c14]Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li:
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. AAAI 2020: 3414-3421 - [c13]Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu:
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CIKM 2020: 1783-1792 - [c12]Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li:
Learning to Simulate Vehicle Trajectories from Demonstrations. ICDE 2020: 1822-1825 - [c11]Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) 2020: 530-545 - [i7]Chang Liu, Huichu Zhang, Weinan Zhang, Guanjie Zheng, Yong Yu:
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CoRR abs/2009.08052 (2020)
2010 – 2019
- 2019
- [c10]Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li:
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. AAAI 2019: 5668-5675 - [c9]Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li:
CoLight: Learning Network-level Cooperation for Traffic Signal Control. CIKM 2019: 1913-1922 - [c8]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 - [c7]Yuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li:
Learning Traffic Signal Control from Demonstrations. CIKM 2019: 2289-2292 - [c6]Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li:
PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. KDD 2019: 1290-1298 - [c5]Nan Xu, Guanjie Zheng, Kai Xu, Yanmin Zhu, Zhenhui Li:
Targeted Knowledge Transfer for Learning Traffic Signal Plans. PAKDD (2) 2019: 175-187 - [i6]Hua Wei, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li:
A Survey on Traffic Signal Control Methods. CoRR abs/1904.08117 (2019) - [i5]Guanjie Zheng, Xinshi Zang, Nan Xu, Hua Wei, Zhengyao Yu, Vikash V. Gayah, Kai Xu, Zhenhui Li:
Diagnosing Reinforcement Learning for Traffic Signal Control. CoRR abs/1905.04716 (2019) - [i4]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) - [i3]Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li:
CoLight: Learning Network-level Cooperation for Traffic Signal Control. CoRR abs/1905.05717 (2019) - [i2]Guanjie Zheng, Mengqi Liu, Tao Wen, Hongjian Wang, Huaxiu Yao, Susan L. Brantley, Zhenhui Li:
Targeted Source Detection for Environmental Data. CoRR abs/1908.11056 (2019) - 2018
- [c4]Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li:
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. KDD 2018: 2496-2505 - [c3]Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, Zhenhui Li:
DRN: A Deep Reinforcement Learning Framework for News Recommendation. WWW 2018: 167-176 - [i1]Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Yanwei Yu, Zhenhui Li:
Modeling Spatial-Temporal Dynamics for Traffic Prediction. CoRR abs/1803.01254 (2018) - 2017
- [c2]Guanjie Zheng, Susan L. Brantley, Thomas Lauvaux, Zhenhui Li:
Contextual Spatial Outlier Detection with Metric Learning. KDD 2017: 2161-2170 - [c1]Zhenhui Li, Guanjie Zheng, Amal Agarwal, Lingzhou Xue, Thomas Lauvaux:
Discovery of Causal Time Intervals. SDM 2017: 804-812
Coauthor Index
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