Guanjie Zheng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 64

Top Topics

Reinforcement Learning

Text Generation

Top Venues

Publications

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 (2024)
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) (2024)
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)
Chaolv Zeng, Zhanyu Liu, Guanjie Zheng, Linghe Kong
C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting. CoRR (2024)
Zhanyu Liu, Chaolv Zeng, Guanjie Zheng
Graph Data Condensation via Self-expressive Graph Structure Reconstruction. KDD (2024)
Zhanyu Liu, Guanjie Zheng, Yanwei Yu
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting. CoRR (2024)
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 (2024)
Zhanyu Liu, Ke Hao, Guanjie Zheng, Yanwei Yu
Dataset Condensation for Time Series Classification via Dual Domain Matching. CoRR (2024)
Xiang Li, Chaofan Fu, Zhongying Zhao, Guanjie Zheng, Chao Huang, Junyu Dong, Yanwei Yu
Dual-Channel Multiplex Graph Neural Networks for Recommendation. CoRR (2024)
Zhanyu Liu, Jianrong Ding, Guanjie Zheng
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting. CoRR (2024)
Zhanyu Liu, Ke Hao, Guanjie Zheng, Yanwei Yu
Dataset Condensation for Time Series Classification via Dual Domain Matching. KDD (2024)
Jianrong Ding, Zhanyu Liu, Guanjie Zheng, Haiming Jin, Linghe Kong
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting. CoRR (2024)
Jianping Zhou, Junhao Li, Guanjie Zheng, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou
GeoViz: A Multi-View Visualization Platform for Spatio-temporal Knowledge Graph. CoRR (2024)
Zhanyu Liu, Chaolv Zeng, Guanjie Zheng
Graph Data Condensation via Self-expressive Graph Structure Reconstruction. CoRR (2024)
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 (2024)
Zhanyu Liu, Guanjie Zheng, Yanwei Yu
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank. CIKM (2023)
Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li
HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. CoRR (2023)
Chaofan Fu, Guanjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong
Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling. KDD (2023)
Zhixin Guo, Minyxuan Yan, Jiexing Qi, Jianping Zhou, Ziwei He, Zhouhan Lin, Guanjie Zheng, Xinbing Wang
Few-Shot Table-to-Text Generation with Prompt-based Adapter. CoRR (2023)
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 (2023)
Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei
Uncertainty-aware Traffic Prediction under Missing Data. ICDM (2023)
Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei
FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph. CoRR (2023)
Zhixin Guo, Minyxuan Yan, Jiexing Qi, Jianping Zhou, Ziwei He, Zhouhan Lin, Guanjie Zheng, Xinbing Wang
Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization. CoRR (2023)
Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei
Uncertainty-aware Traffic Prediction under Missing Data. CoRR (2023)
Zhanyu Liu, Guanjie Zheng, Yanwei Yu
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank. CoRR (2023)
Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei
FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph. ECML/PKDD (7) (2023)
Zhixin Guo, Guanjie Zheng, Xinbing Wang, Chenghu Zhou
GeoImageCut: A Toolkit for Image Cut from Geoscience Literature. ACM TUR-C (2023)
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)
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)
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)
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 (2022)
Yiheng Wang, Hexi Jin, Guanjie Zheng
CTRL: Cooperative Traffic Tolling via Reinforcement Learning. CIKM (2022)
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 (2022)
Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li
Objective-aware Traffic Simulation via Inverse Reinforcement Learning. CoRR (2021)
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 (2021)
Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li
Knowledge-based Residual Learning. IJCAI (2021)
Guanjie Zheng, Porter Jenkins, Yanyan Xu, Dongyao Chen
Overview of the 1st Workshop on City Brain Research. KDD (2021)
Chang Liu, Guanjie Zheng, Zhenhui Li
Learning to Route via Theory-Guided Residual Network. CoRR (2021)
Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li
Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. ICDE (2021)
Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
Learning to Simulate on Sparse Trajectory Data. CoRR (2021)
Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li
Objective-aware Traffic Simulation via Inverse Reinforcement Learning. IJCAI (2021)
Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li
Learning to Simulate Vehicle Trajectories from Demonstrations. ICDE (2020)
Chang Liu, Huichu Zhang, Weinan Zhang, Guanjie Zheng, Yong Yu
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CoRR (2020)
Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control. AAAI (2020)
Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CIKM (2020)
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)
Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) (2020)
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) (2020)
Yuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li
Learning Traffic Signal Control from Demonstrations. CIKM (2019)
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 (2019)
Guanjie Zheng, Mengqi Liu, Tao Wen, Hongjian Wang, Huaxiu Yao, Susan L. Brantley, Zhenhui Li
Targeted Source Detection for Environmental Data. CoRR (2019)
Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. AAAI (2019)
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 (2019)
Nan Xu, Guanjie Zheng, Kai Xu, Yanmin Zhu, Zhenhui Li
Targeted Knowledge Transfer for Learning Traffic Signal Plans. PAKDD (2) (2019)
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)
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)
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 (2019)
Hua Wei, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li
A Survey on Traffic Signal Control Methods. CoRR (2019)
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)
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)
Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. KDD (2018)
Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Yanwei Yu, Zhenhui Li
Modeling Spatial-Temporal Dynamics for Traffic Prediction. CoRR (2018)
Zhenhui Li, Guanjie Zheng, Amal Agarwal, Lingzhou Xue, Thomas Lauvaux
Discovery of Causal Time Intervals. SDM (2017)
Guanjie Zheng, Susan L. Brantley, Thomas Lauvaux, Zhenhui Li
Contextual Spatial Outlier Detection with Metric Learning. KDD (2017)