Zhenhui Li

ORCID

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 96

Top Venues

Publications

Jiadong Zhang, Qianqian Chen, Luping Zhou, Zhiming Cui, Fei Gao, Zhenhui Li, Qianjin Feng, Dinggang Shen
MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation. CaPTion@MICCAI (2023)
Meiyu Li, Kaicong Sun, Yuning Gu, Kai Zhang, Yiqun Sun, Zhenhui Li, Dinggang Shen
Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images. MICCAI (7) (2023)
Jiadong Zhang, Zhiming Cui, Zhenwei Shi, Yingjia Jiang, Zhiliang Zhang, Xiaoting Dai, Zhenlu Yang, Yuning Gu, Lei Zhou, Chu Han, Xiaomei Huang, Chenglu Ke, Suyun Li, Zeyan Xu, Fei Gao, Luping Zhou, Rongpin Wang, Jun Liu, Jiayin Zhang, Zhongxiang Ding, Kun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. Patterns 4 (9) (2023)
Jiadong Zhang, Zhiming Cui, Luping Zhou, Yiqun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen
Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning. IEEE Trans. Medical Imaging 42 (12) (2023)
Zhenhui Li, Zhouli He, Feng Huang, Renyuan Jia
A Bit-Level Three-Dimensional Rectangular Image Encryption Algorithm Using New Chaotic Maps. Autom. Control. Comput. Sci. 57 (4) (2023)
Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zhenhui Li, Zaiyi Liu, Ying Wang, Changhong Liang
HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images. IEEE Trans. Medical Imaging 42 (6) (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)
Yonghao Li, Yiqing Shen, Jiadong Zhang, Shujie Song, Zhenhui Li, Jing Ke, Dinggang Shen
A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. IEEE Trans. Medical Imaging 42 (12) (2023)
Zhengyun Feng, Huan Lin, Zaiyi Liu, Lixu Yan, Yumeng Wang, Bingbing Li, Entao Liu, Chu Han, Zhenwei Shi, Cheng Lu, Zhenbing Liu, Cheng Pang, Zhenhui Li, Yanfen Cui, Xipeng Pan, Xin Chen
Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study. Comput. Methods Programs Biomed. 238 (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)
Hua Wei, Guni Sheron, Cathy Wu, Sanjay Chawla, Zhenhui Li
The Third Workshop on Data-driven Intelligent Transportation. CIKM (2022)
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation. AAAI (2022)
Chu Han, Huasheng Yao, Bingchao Zhao, Zhenhui Li, Zhenwei Shi, Lei Wu, Xin Chen, Jinrong Qu, Ke Zhao, Rushi Lan, Changhong Liang, Xipeng Pan, Zaiyi Liu
Meta multi-task nuclei segmentation with fewer training samples. Medical Image Anal. 80 (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)
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
Boosting Offline Reinforcement Learning with Residual Generative Modeling. IJCAI (2021)
Huandong Wang, Yong Li, Mu Du, Zhenhui Li, Depeng Jin
App2Vec: Context-Aware Application Usage Prediction. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
Boosting Offline Reinforcement Learning with Residual Generative Modeling. CoRR (2021)
Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li
Knowledge-based Residual Learning. IJCAI (2021)
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
Probabilistic simulation of spatial demand for intelligent product allocation. GeoSim@SIGSPATIAL (2021)
Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li
Neural Utility Functions. AAAI (2021)
Chang Liu, Guanjie Zheng, Zhenhui Li
Learning to Route via Theory-Guided Residual Network. CoRR (2021)
Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui Li
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery. NeurIPS (2021)
Yanwei Yu, Xianfeng Tang, Huaxiu Yao, Xiuwen Yi, Zhenhui Li
Citywide Traffic Volume Inference with Surveillance Camera Records. IEEE Trans. Big Data 7 (6) (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)
Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li
Improving Generalization in Meta-learning via Task Augmentation. ICML (2021)
Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li
Objective-aware Traffic Simulation via Inverse Reinforcement Learning. IJCAI (2021)
Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li
How Do We Move: Modeling Human Movement with System Dynamics. AAAI (2021)
Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong
Online Structured Meta-learning. NeurIPS (2020)
Hongjian Wang, Qi Li, Lanbo Zhang, Yue Lu, Steven Yoo, Srinivas Vadrevu, Zhenhui Li
Automatic Historical Feature Generation through Tree-based Method in Ads Prediction. CoRR (2020)
Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
A Probabilistic Simulator of Spatial Demand for Product Allocation. CoRR (2020)
Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong
Online Structured Meta-learning. CoRR (2020)
Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
Automated Relational Meta-learning. CoRR (2020)
Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao, Zhenhui Li
Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records. CoRR (2020)
Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li
Learning to Simulate Vehicle Trajectories from Demonstrations. ICDE (2020)
Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
Automated Relational Meta-learning. ICLR (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)
Hua Wei, Zhenhui Li
Learning to Simulate Human Movement. CoRR (2020)
Zhenhui Li, Huaxiu Yao, Fenglong Ma
Learning with Small Data. WSDM (2020)
Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
Few-Shot Knowledge Graph Completion. AAAI (2020)
Huaxiu Yao, Longkai Huang, Ying Wei, Li Tian, Junzhou Huang, Zhenhui Li
Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning. CoRR (2020)
Huaxiu Yao, Xiaowei Jia, Vipin Kumar, Zhenhui Li
Learning with Small Data. KDD (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)
Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
Graph Few-Shot Learning via Knowledge Transfer. AAAI (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)
Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. CoRR (2019)
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)
Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li
Hierarchically Structured Meta-learning. CoRR (2019)
Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. WWW (2019)
Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
Graph Few-shot Learning via Knowledge Transfer. 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, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. 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)
Hongjian Wang, Xianfeng Tang, Yu-Hsuan Kuo, Daniel Kifer, Zhenhui Li
A Simple Baseline for Travel Time Estimation using Large-scale Trip Data. ACM Trans. Intell. Syst. Technol. 10 (2) (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)
Hongjian Wang, Huaxiu Yao, Daniel Kifer, Corina Graif, Zhenhui Li
Non-Stationary Model for Crime Rate Inference Using Modern Urban Data. IEEE Trans. Big Data 5 (2) (2019)
Hongjian Wang, Porter Jenkins, Hua Wei, Fei Wu, Zhenhui Li
Learning Task-Specific City Region Partition. WWW (2019)
Porter Jenkins, Ahmad Farag, Suhang Wang, Zhenhui Li
Unsupervised Representation Learning of Spatial Data via Multimodal Embedding. CIKM (2019)
Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
Few-Shot Knowledge Graph Completion. CoRR (2019)
Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li
Hierarchically Structured Meta-learning. ICML (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)
Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. WWW (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)
Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. CoRR (2018)
Yan Liu, Zhenhui Li, Wei Ai, Lingyu Zhang
SIGIR 2018 Workshop on Intelligent Transportation Informatics. SIGIR (2018)
Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. AAAI (2018)
Yanwei Yu, Huaxiu Yao, Hongjian Wang, Xianfeng Tang, Zhenhui Li
Representation Learning for Large-Scale Dynamic Networks. DASFAA (2) (2018)
Fei Wu, Hongjian Wang, Zhenhui Li
Semantic Exploration of Traffic Dynamics. CoRR (2018)
Yanwei Yu, Hongjian Wang, Zhenhui Li
Inferring Mobility Relationship via Graph Embedding. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (3) (2018)
Yong Zhang, Hua Wei, Xuelian Lin, Fei Wu, Zhenhui Li, Kaiheng Chen, Yuandong Wang, Jie Xu
Context-Aware Location Annotation on Mobility Records Through User Grouping. PAKDD (3) (2018)
Yu-Hsuan Kuo, Zhenhui Li, Daniel Kifer
Detecting Outliers in Data with Correlated Measures. CIKM (2018)
Yu-Hsuan Kuo, Zhenhui Li, Daniel Kifer
Detecting Outliers in Data with Correlated Measures. CoRR (2018)
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)
Hongjian Wang, Zhenhui Li
Region Representation Learning via Mobility Flow. CIKM (2017)
Guanjie Zheng, Susan L. Brantley, Thomas Lauvaux, Zhenhui Li
Contextual Spatial Outlier Detection with Metric Learning. KDD (2017)
Meng Chi, Jianhua Yang, Yabo Liu, Zhenhui Li
A Traffic Prediction Model for Self-Adapting Routing Overlay Network in Publish/Subscribe System. Mob. Inf. Syst. 2017 (2017)
Fei Wu, Pranay Anchuri, Zhenhui Li
Structural Event Detection from Log Messages. KDD (2017)
Zhenhui Li
Semantic Understanding of Spatial Trajectories. SSTD (2017)
Fei Wu, Zhenhui Li
Where Did You Go: Personalized Annotation of Mobility Records. CIKM (2016)
Hongjian Wang, Daniel Kifer, Corina Graif, Zhenhui Li
Crime Rate Inference with Big Data. KDD (2016)
Fei Wu, Hongjian Wang, Zhenhui Li
Interpreting traffic dynamics using ubiquitous urban data. SIGSPATIAL/GIS (2016)
Hongjian Wang, Yu-Hsuan Kuo, Daniel Kifer, Zhenhui Li
A simple baseline for travel time estimation using large-scale trip data. SIGSPATIAL/GIS (2016)
Hongjian Wang, Zhenhui Li, Yu-Hsuan Kuo, Dan Kifer
A Simple Baseline for Travel Time Estimation using Large-Scale Trip Data. CoRR (2015)
Fei Wu, Hongjian Wang, Zhenhui Li, Wang-Chien Lee, Zhuojie Huang
SemMobi: A Semantic Annotation System for Mobility Data. WWW (Companion Volume) (2015)
Zhenhui Li, Jingjing Wang, Jiawei Han
ePeriodicity: Mining Event Periodicity from Incomplete Observations. IEEE Trans. Knowl. Data Eng. 27 (5) (2015)
Fei Wu, Zhenhui Li, Wang-Chien Lee, Hongjian Wang, Zhuojie Huang
Semantic Annotaion of Mobility Data using Social Media. WWW (2015)
Hongjian Wang, Zhenhui Li, Wang-Chien Lee
PGT: Measuring Mobility Relationship Using Personal, Global and Temporal Factors. ICDM (2014)
Mo Yu, Wenjun Si, Guojie Song, Zhenhui Li, John Yen
Who were you talking to - Mining interpersonal relationships from cellphone network data. ASONAM (2014)
Peifeng Yin, Mao Ye, Wang-Chien Lee, Zhenhui Li
Mining GPS Data for Trajectory Recommendation. PAKDD (2) (2014)
Fei Wu, Tobias Kin Hou Lei, Zhenhui Li, Jiawei Han
MoveMine 2.0: Mining Object Relationships from Movement Data. Proc. VLDB Endow. 7 (13) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhenhui Li