Zhenhui Li - RankMe

160 papers A* 40A 17B 5Misc 1Journal 75Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Deployment-Friendly Foundational Framework for Efficient Computational Pathology. CoRR Yu Cai, Cheng Jin, Jiabo Ma, Fengtao Zhou, Yingxue Xu, Zhengrui Guo, Yihui Wang, Zhengyu Zhang, Ling Liang, Yonghao Tan, Pingcheng Dong, Du Cai, On Ki Tang, Chenglong Zhao, Xi Wang, Can Yang, Yali Xu, Jing Cui, Zhenhui Li, Ronald Cheong Kin Chan, Yueping Liu, Feng Gao, Xiuming Zhang, Li Liang, Hao Chen, Kwang-Ting Cheng
2026	J	`jnl`	A content-aware variable-rate framework for pathology learned image compression (PathoLIC). Medical Image Anal. Weiqi Li, Yonghao Li, Haoyuan Chen, Long Yang, Lin Wu, Zhenhui Li, Jing Ke, Dinggang Shen
2026	J	`jnl`	A hypergraph-based model for tumor prognosis using local and global information fusion on H&E-stained histology images. Medical Image Anal. Chao Tang, Jun Liu, Yanfen Cui, Zhenhui Li, Xiuming Zhang, Su Yao, Huan Lin, Dacheng Yang, Zhishun Liu, Wei Zhao, Shiwei Luo, Ke Zhao, Yun Zhu, Guangjun Yang, Lixu Yan, Shuting Chen, Xiangtian Zhao, Yingqiu Huo, Zhiyang Chen, Hongbo Liu, Jiahui Ma, Wenfeng He, Tao Tan, Anant Madabhushi, Jinglei Tang, Zaiyi Liu, Cheng Lu
2026	J	`jnl`	Adaptive token attribute fitting for enhanced semantic segmentation in whole slide imaging. Digit. Signal Process. Yinhui Zhang, Ying Huang, Gang Zhang, Zifen He, Zhenhui Li, Lin Wu
2026	J	`jnl`	An Alignment and Imputation Network (AINet) for Breast Cancer Diagnosis With Multimodal Multi-View Ultrasound Images. IEEE Trans. Medical Imaging Haoyuan Chen, Yonghao Li, Jiadong Zhang, Long Yang, Yiqun Sun, Yaling Chen, Shichong Zhou, Zhenhui Li, Xuejun Qian, Qi Xu, Dinggang Shen
2026	J	`jnl`	ST-Camba: A decoupled-free spatiotemporal graph fusion state space model with linear complexity for efficient traffic forecasting. Inf. Fusion Xiangxu Wang, Jinzhou Cao, Tianhong Zhao, Bowen Zhang, Guanzhou Chen, Zhenhui Li, Haolin Chen, Wei Tu, Qingquan Li
2025	J	`jnl`	A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction. CoRR Huajun Zhou, Fengtao Zhou, Jiabo Ma, Yingxue Xu, Xi Wang, Xiuming Zhang, Li Liang, Zhenhui Li, Hao Chen
2025	J	`jnl`	A Versatile Foundation Model for AI-enabled Mammogram Interpretation. CoRR Fuxiang Huang, Jiayi Zhu, Yunfang Yu, Yu Xie, Yuan Guo, Qingcong Kong, Mingxiang Wu, Xinrui Jiang, Shu Yang, Jiabo Ma, Ziyi Liu, Zhe Xu, Zhixuan Chen, Yujie Tan, Zifan He, Luhui Mao, Xi Wang, Junlin Hou, Lei Zhang, Qiong Luo, Zhenhui Li, Herui Yao, Hao Chen
2025	J	`jnl`	CFI-ViT: A coarse-to-fine inference based vision transformer for gastric cancer subtype detection using pathological images. Biomed. Signal Process. Control. Xinghang Wang, Haibo Tao, Bin Wang, Huaiping Jin, Zhenhui Li
2025	J	`jnl`	CWC-transformer: a visual transformer approach for compressed whole slide image classification. Neural Comput. Appl. Yaowei Wang, Jing Guo, Yun Yang, Yan Kang, Yuelong Xia, Zhenhui Li, Yongchun Duan, Kelong Wang
2025	J	`jnl`	Combined nomogram for differentiating adrenal pheochromocytoma from large-diameter lipid-poor adenoma using multiphase CT radiomics and clinico-radiological features. BMC Medical Imaging Zujuan Shan, Xinzhang Zhang, Yiwen Zhang, Shuailong Wang, Junfeng Wang, Xin Shi, Lin Li, Zhenhui Li, Liuyang Yang, Hao Liu, Wenliang Li, Junfeng Yang, Liansheng Yang
2025	J	`jnl`	DBT-based habitat imaging for differentiating benign and malignant breast architectural distortion : a two-center study. BMC Medical Imaging Chong Chen, Kexian Gao, Zhenhui Li, Yingying Ding, Wei Zhao
2025	J	`jnl`	Design of a Fast Image Encryption Algorithm Based on a Novel 2D Chaotic Map and DNA Encoding. Secur. Priv. Yuchen Fu, Zhenhui Li, Feng Huang, Wang Ning, Haoran Lyu
2025	A	`conf`	LLM-CBT: LLM-Driven Closed-Loop Behavior Tree Planning for Heterogeneous UAV-UGV Swarm Collaboration. IROS Yuanyuan Tian, Weilong Song, Jinna Fu, Zhenhui Li, Chenyu Fang, Linbo Wang, Wanyang Hu, Yabo Liu
2025	J	`jnl`	PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology. CoRR Jiabo Ma, Yingxue Xu, Fengtao Zhou, Yihui Wang, Cheng Jin, Zhengrui Guo, Jianfeng Wu, On Ki Tang, Huajun Zhou, Xi Wang, Luyang Luo, Zhengyu Zhang, Du Cai, Zizhao Gao, Wei Wang, Yueping Liu, Jiankun He, Jing Cui, Zhenhui Li, Jing Zhang, Feng Gao, Xiuming Zhang, Li Liang, Ronald Cheong Kin Chan, Zhe Wang, Hao Chen
2025	J	`jnl`	Predictive value of enhanced CT and pathological indicators in lymph node metastasis in patients with gastric cancer based on GEE model. BMC Medical Imaging Ling Yang, Yingying Ding, Dafu Zhang, Guangjun Yang, Xingxiang Dong, Zhiping Zhang, Caixia Zhang, Wenjie Zhang, Youguo Dai, Zhenhui Li
2025	J	`jnl`	Preoperative pectoralis muscle index predicts distant metastasis-free survival in non-small cell lung cancer patients: a retrospective study. BMC Medical Imaging Zhihui Shi, Lin Wu, Dengke Jiang, Ruiling Yang, Rui Liao, Lizhu Liu, Ruimin You, Yanli Li, Xingxiang Dong, Dafu Zhang, Jing Wang, Xuewen Zhang, Xiaobo Chen, Zhenhui Li
2025	J	`jnl`	Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI. IEEE Trans. Medical Imaging Lei Zhou, Yuzhong Zhang, Jiadong Zhang, Xuejun Qian, Chen Gong, Kun Sun, Zhongxiang Ding, Xing Wang, Zhenhui Li, Zaiyi Liu, Dinggang Shen
2025	J	`jnl`	Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach. CoRR Jinzhou Cao, Xiangxu Wang, Jiashi Chen, Wei Tu, Zhenhui Li, Xindong Yang, Tianhong Zhao, Qingquan Li
2024	Misc	`conf`	Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck. ICASSP Kai Yang, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang, Fan Zhou
2024	—	`conf`	FMA-YOLO: An Algorithm for Detecting Vehicles and Pedestrians in Infrared Road Scenarios. CGI (1) Xin Cong, Zhenhui Li, Lingling Zi
2024	—	`conf`	IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images. MLMI@MICCAI (1) Haoyuan Chen, Yonghao Li, Jiadong Zhang, Qi Xu, Meiyu Li, Zhenhui Li, Xuejun Qian, Dinggang Shen
2024	A*	`conf`	Improving IP Geolocation With Target-Centric IP Graph (Student Abstract). AAAI Kai Yang, Jiayang Li, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang
2024	J	`jnl`	Live chicken body fat measurement technology based on bio-electrical impedance. Comput. Electron. Agric. Jiaming Zuo, Jinping Liang, Shangshang Cheng, Yuelin Deng, Zhenhui Li, Qinghua Nie, Dexiang Zhang, Xiquan Zhang, Zhen Li, Hongmei Li
2024	J	`jnl`	Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis. IEEE Trans. Medical Imaging Qianqian Chen, Jiadong Zhang, Runqi Meng, Lei Zhou, Zhenhui Li, Qianjin Feng, Dinggang Shen
2024	J	`jnl`	Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI. CoRR Lei Zhou, Yuzhong Zhang, Jiadong Zhang, Xuejun Qian, Chen Gong, Kun Sun, Zhongxiang Ding, Xing Wang, Zhenhui Li, Zaiyi Liu, Dinggang Shen
2024	J	`jnl`	SC-Net: Symmetrical conical network for colorectal pathology image segmentation. Comput. Methods Programs Biomed. Gang Zhang, Zifen He, Yinhui Zhang, Zhenhui Li, Lin Wu
2024	J	`jnl`	Scalable Analysis of Urban Scaling Laws: Leveraging Cloud Computing to Analyze 21,280 Global Cities. CoRR Zhenhui Li, Hongwei Zhang, Kan Wu
2024	J	`jnl`	Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model. CoRR Luyang Luo, Mingxiang Wu, Mei Li, Yi Xin, Qiong Wang, Varut Vardhanabhuti, Winnie C. W. Chu, Zhenhui Li, Juan Zhou, Pranav Rajpurkar, Hao Chen
2024	J	`jnl`	iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer. CoRR Fengtao Zhou, Yingxue Xu, Yanfen Cui, Shenyan Zhang, Yun Zhu, Weiyang He, Jiguang Wang, Xin Wang, Ronald Chan, Louis Ho Shing Lau, Chu Han, Dafu Zhang, Zhenhui Li, Hao Chen
2023	J	`jnl`	A Bit-Level Three-Dimensional Rectangular Image Encryption Algorithm Using New Chaotic Maps. Autom. Control. Comput. Sci. Zhenhui Li, Zhouli He, Feng Huang, Renyuan Jia
2023	J	`jnl`	A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. IEEE Trans. Medical Imaging Yonghao Li, Yiqing Shen, Jiadong Zhang, Shujie Song, Zhenhui Li, Jing Ke, Dinggang Shen
2023	J	`jnl`	A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. Patterns 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
2023	J	`jnl`	Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study. Comput. Methods Programs Biomed. 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
2023	J	`jnl`	Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning. IEEE Trans. Medical Imaging Jiadong Zhang, Zhiming Cui, Luping Zhou, Yiqun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen
2023	—	`conf`	Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images. MICCAI (7) Meiyu Li, Kaicong Sun, Yuning Gu, Kai Zhang, Yiqun Sun, Zhenhui Li, Dinggang Shen
2023	J	`jnl`	Digital inclusive finance, economic growth and innovative development. Kybernetes Wenjing Wang, Taiyi He, Zhenhui Li
2023	J	`jnl`	HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. CoRR Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li
2023	J	`jnl`	HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images. IEEE Trans. Medical Imaging 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
2023	—	`conf`	MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation. CaPTion@MICCAI Jiadong Zhang, Qianqian Chen, Luping Zhou, Zhiming Cui, Fei Gao, Zhenhui Li, Qianjin Feng, Dinggang Shen
2022	A*	`conf`	Bayesian Model-Based Offline Reinforcement Learning for Product Allocation. AAAI Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
2022	J	`jnl`	CBLab: Scalable Traffic Simulation with Enriched Data Supporting. CoRR Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Yuhao Du, Fuliang Li, Zhenhui Li
2022	—	`conf`	HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li
2022	J	`jnl`	Meta multi-task nuclei segmentation with fewer training samples. Medical Image Anal. 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
2022	A	`conf`	The Third Workshop on Data-driven Intelligent Transportation. CIKM Hua Wei, Guni Sharon, Cathy Wu, Sanjay Chawla, Zhenhui Li
2021	J	`jnl`	App2Vec: Context-Aware Application Usage Prediction. ACM Trans. Knowl. Discov. Data Huandong Wang, Yong Li, Mu Du, Zhenhui Li, Depeng Jin
2021	A*	`conf`	Boosting Offline Reinforcement Learning with Residual Generative Modeling. IJCAI Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
2021	J	`jnl`	Boosting Offline Reinforcement Learning with Residual Generative Modeling. CoRR Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li
2021	J	`jnl`	Citywide Traffic Volume Inference with Surveillance Camera Records. IEEE Trans. Big Data Yanwei Yu, Xianfeng Tang, Huaxiu Yao, Xiuwen Yi, Zhenhui Li
2021	A*	`conf`	Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery. NeurIPS Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui Li
2021	A*	`conf`	How Do We Move: Modeling Human Movement with System Dynamics. AAAI Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li
2021	A*	`conf`	Improving Generalization in Meta-learning via Task Augmentation. ICML Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li
2021	A*	`conf`	Knowledge-based Residual Learning. IJCAI Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li
2021	J	`jnl`	Learning to Route via Theory-Guided Residual Network. CoRR Chang Liu, Guanjie Zheng, Zhenhui Li
2021	J	`jnl`	Learning to Simulate on Sparse Trajectory Data. CoRR Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
2021	A*	`conf`	Neural Utility Functions. AAAI Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li
2021	A*	`conf`	Objective-aware Traffic Simulation via Inverse Reinforcement Learning. IJCAI Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li
2021	J	`jnl`	Objective-aware Traffic Simulation via Inverse Reinforcement Learning. CoRR Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li
2021	—	`conf`	Probabilistic simulation of spatial demand for intelligent product allocation. GeoSim@SIGSPATIAL Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
2021	A*	`conf`	Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. ICDE Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li
2020	J	`jnl`	A Probabilistic Simulator of Spatial Demand for Product Allocation. CoRR Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li
2020	A*	`conf`	Automated Relational Meta-learning. ICLR Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
2020	J	`jnl`	Automated Relational Meta-learning. CoRR Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
2020	J	`jnl`	Automatic Historical Feature Generation through Tree-based Method in Ads Prediction. CoRR Hongjian Wang, Qi Li, Lanbo Zhang, Yue Lu, Steven Yoo, Srinivas Vadrevu, Zhenhui Li
2020	J	`jnl`	Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning. CoRR Huaxiu Yao, Longkai Huang, Ying Wei, Li Tian, Junzhou Huang, Zhenhui Li
2020	A*	`conf`	Few-Shot Knowledge Graph Completion. AAAI Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
2020	A*	`conf`	Graph Few-Shot Learning via Knowledge Transfer. AAAI Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
2020	J	`jnl`	Learning to Simulate Human Movement. CoRR Hua Wei, Zhenhui Li
2020	A*	`conf`	Learning to Simulate Vehicle Trajectories from Demonstrations. ICDE Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li
2020	—	`conf`	Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
2020	A*	`conf`	Learning with Small Data. KDD Huaxiu Yao, Xiaowei Jia, Vipin Kumar, Zhenhui Li
2020	A	`conf`	Learning with Small Data. WSDM Zhenhui Li, Huaxiu Yao, Fenglong Ma
2020	A*	`conf`	MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control. AAAI Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li
2020	A*	`conf`	Online Structured Meta-learning. NeurIPS Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong
2020	J	`jnl`	Online Structured Meta-learning. CoRR Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong
2020	J	`jnl`	Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation. SIGKDD Explor. Hua Wei, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li
2020	J	`jnl`	Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records. CoRR Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao, Zhenhui Li
2020	A*	`conf`	Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. AAAI Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li
2019	J	`jnl`	A Simple Baseline for Travel Time Estimation using Large-scale Trip Data. ACM Trans. Intell. Syst. Technol. Hongjian Wang, Xianfeng Tang, Yu-Hsuan Kuo, Daniel Kifer, Zhenhui Li
2019	J	`jnl`	A Survey on Traffic Signal Control Methods. CoRR Hua Wei, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li
2019	A*	`conf`	CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. WWW Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li
2019	J	`jnl`	CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. CoRR Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li
2019	A	`conf`	CoLight: Learning Network-level Cooperation for Traffic Signal Control. CIKM Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
2019	J	`jnl`	CoLight: Learning Network-level Cooperation for Traffic Signal Control. CoRR Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
2019	J	`jnl`	Diagnosing Reinforcement Learning for Traffic Signal Control. CoRR Guanjie Zheng, Xinshi Zang, Nan Xu, Hua Wei, Zhengyao Yu, Vikash V. Gayah, Kai Xu, Zhenhui Li
2019	J	`jnl`	Few-Shot Knowledge Graph Completion. CoRR Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
2019	J	`jnl`	Graph Few-shot Learning via Knowledge Transfer. CoRR Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
2019	A*	`conf`	Hierarchically Structured Meta-learning. ICML Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li
2019	J	`jnl`	Hierarchically Structured Meta-learning. CoRR Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li
2019	A	`conf`	Learning Phase Competition for Traffic Signal Control. CIKM Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
2019	J	`jnl`	Learning Phase Competition for Traffic Signal Control. CoRR Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li
2019	A*	`conf`	Learning Task-Specific City Region Partition. WWW Hongjian Wang, Porter Jenkins, Hua Wei, Fei Wu, Zhenhui Li
2019	A	`conf`	Learning Traffic Signal Control from Demonstrations. CIKM Yuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li
2019	A*	`conf`	Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. WWW Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
2019	J	`jnl`	Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. CoRR Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
2019	J	`jnl`	Non-Stationary Model for Crime Rate Inference Using Modern Urban Data. IEEE Trans. Big Data Hongjian Wang, Huaxiu Yao, Daniel Kifer, Corina Graif, Zhenhui Li
2019	A*	`conf`	PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. KDD Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li
2019	A*	`conf`	Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. AAAI Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li
2019	—	`conf`	Targeted Knowledge Transfer for Learning Traffic Signal Plans. PAKDD (2) Nan Xu, Guanjie Zheng, Kai Xu, Yanmin Zhu, Zhenhui Li
2019	J	`jnl`	Targeted Source Detection for Environmental Data. CoRR Guanjie Zheng, Mengqi Liu, Tao Wen, Hongjian Wang, Huaxiu Yao, Susan L. Brantley, Zhenhui Li
2019	A	`conf`	Unsupervised Representation Learning of Spatial Data via Multimodal Embedding. CIKM Porter Jenkins, Ahmad Farag, Suhang Wang, Zhenhui Li
2018	—	`conf`	Context-Aware Location Annotation on Mobility Records Through User Grouping. PAKDD (3) Yong Zhang, Hua Wei, Xuelian Lin, Fei Wu, Zhenhui Li, Kaiheng Chen, Yuandong Wang, Jie Xu
2018	A*	`conf`	DRN: A Deep Reinforcement Learning Framework for News Recommendation. WWW Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, Zhenhui Li
2018	A*	`conf`	Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. AAAI Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
2018	J	`jnl`	Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. CoRR Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
2018	A	`conf`	Detecting Outliers in Data with Correlated Measures. CIKM Yu-Hsuan Kuo, Zhenhui Li, Daniel Kifer
2018	J	`jnl`	Detecting Outliers in Data with Correlated Measures. CoRR Yu-Hsuan Kuo, Zhenhui Li, Daniel Kifer
2018	J	`jnl`	Inferring Mobility Relationship via Graph Embedding. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Yanwei Yu, Hongjian Wang, Zhenhui Li
2018	A*	`conf`	IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. KDD Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li
2018	J	`jnl`	Modeling Spatial-Temporal Dynamics for Traffic Prediction. CoRR Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Yanwei Yu, Zhenhui Li
2018	—	`conf`	Representation Learning for Large-Scale Dynamic Networks. DASFAA (2) Yanwei Yu, Huaxiu Yao, Hongjian Wang, Xianfeng Tang, Zhenhui Li
2018	A*	`conf`	SIGIR 2018 Workshop on Intelligent Transportation Informatics. SIGIR Yan Liu, Zhenhui Li, Wei Ai, Lingyu Zhang
2018	J	`jnl`	Semantic Exploration of Traffic Dynamics. CoRR Fei Wu, Hongjian Wang, Zhenhui Li
2017	J	`jnl`	A Traffic Prediction Model for Self-Adapting Routing Overlay Network in Publish/Subscribe System. Mob. Inf. Syst. Meng Chi, Jianhua Yang, Yabo Liu, Zhenhui Li
2017	A*	`conf`	Contextual Spatial Outlier Detection with Metric Learning. KDD Guanjie Zheng, Susan L. Brantley, Thomas Lauvaux, Zhenhui Li
2017	A	`conf`	Discovery of Causal Time Intervals. SDM Zhenhui Li, Guanjie Zheng, Amal Agarwal, Lingzhou Xue, Thomas Lauvaux
2017	A	`conf`	Region Representation Learning via Mobility Flow. CIKM Hongjian Wang, Zhenhui Li
2017	B	`conf`	Semantic Understanding of Spatial Trajectories. SSTD Zhenhui Li
2017	A*	`conf`	Structural Event Detection from Log Messages. KDD Fei Wu, Pranay Anchuri, Zhenhui Li
2016	—	`conf`	A simple baseline for travel time estimation using large-scale trip data. SIGSPATIAL/GIS Hongjian Wang, Yu-Hsuan Kuo, Daniel Kifer, Zhenhui Li
2016	A*	`conf`	Crime Rate Inference with Big Data. KDD Hongjian Wang, Daniel Kifer, Corina Graif, Zhenhui Li
2016	—	`conf`	Interpreting traffic dynamics using ubiquitous urban data. SIGSPATIAL/GIS Fei Wu, Hongjian Wang, Zhenhui Li
2016	A	`conf`	Where Did You Go: Personalized Annotation of Mobility Records. CIKM Fei Wu, Zhenhui Li
2015	J	`jnl`	A Simple Baseline for Travel Time Estimation using Large-Scale Trip Data. CoRR Hongjian Wang, Zhenhui Li, Yu-Hsuan Kuo, Dan Kifer
2015	—	`conf`	SemMobi: A Semantic Annotation System for Mobility Data. WWW (Companion Volume) Fei Wu, Hongjian Wang, Zhenhui Li, Wang-Chien Lee, Zhuojie Huang
2015	A*	`conf`	Semantic Annotaion of Mobility Data using Social Media. WWW Fei Wu, Zhenhui Li, Wang-Chien Lee, Hongjian Wang, Zhuojie Huang
2015	J	`jnl`	ePeriodicity: Mining Event Periodicity from Incomplete Observations. IEEE Trans. Knowl. Data Eng. Zhenhui Li, Jingjing Wang, Jiawei Han
2014	—	`conf`	Mining GPS Data for Trajectory Recommendation. PAKDD (2) Peifeng Yin, Mao Ye, Wang-Chien Lee, Zhenhui Li
2014	J	`jnl`	MoveMine 2.0: Mining Object Relationships from Movement Data. Proc. VLDB Endow. Fei Wu, Tobias Kin Hou Lei, Zhenhui Li, Jiawei Han
2014	A*	`conf`	PGT: Measuring Mobility Relationship Using Personal, Global and Temporal Factors. ICDM Hongjian Wang, Zhenhui Li, Wang-Chien Lee
2014	—	`ch.`	Spatiotemporal Pattern Mining: Algorithms and Applications. Frequent Pattern Mining Zhenhui Li
2014	B	`conf`	Who were you talking to - Mining interpersonal relationships from cellphone network data. ASONAM Mo Yu, Wenjun Si, Guojie Song, Zhenhui Li, John Yen
2013	J	`jnl`	Attraction and Avoidance Detection from Movements. Proc. VLDB Endow. Zhenhui Li, Bolin Ding, Fei Wu, Tobias Kin Hou Lei, Roland Kays, Margaret Crofoot
2013	A	`conf`	Can back-of-the-book indexes be automatically created? CIKM Zhaohui Wu, Zhenhui Li, Prasenjit Mitra, C. Lee Giles
2013	A	`conf`	Development of a wall-climbing robot with biped-wheel hybrid locomotion mechanism. IROS Weiguang Dong, Hongguang Wang, Zhenhui Li, Yong Jiang, Jizhong Xiao
2013	A*	`conf`	Mining Following Relationships in Movement Data. ICDM Zhenhui Li, Fei Wu, Margaret Crofoot
2013	—	`conf`	Path planning for power transmission line inspection robot based on visual obstacle detection. ROBIO Zhenhui Li, Hongguang Wang, Yuechao Wang
2013	B	`conf`	Searching online book documents and analyzing book citations. ACM Symposium on Document Engineering Zhaohui Wu, Sujatha Das, Zhenhui Li, Prasenjit Mitra, C. Lee Giles
2012	A	`conf`	Enabling direct interest-aware audience selection. CIKM Ariel Fuxman, Anitha Kannan, Zhenhui Li, Panayiotis Tsaparas
2012	J	`jnl`	Generalized Fisher Score for Feature Selection CoRR Quanquan Gu, Zhenhui Li, Jiawei Han
2012	A	`conf`	Locality Preserving Feature Learning. AISTATS Quanquan Gu, Marina Danilevsky, Zhenhui Li, Jiawei Han
2012	A*	`conf`	Mining event periodicity from incomplete observations. KDD Zhenhui Li, Jingjing Wang, Jiawei Han
2012	J	`jnl`	Mining periodic behaviors of object movements for animal and biological sustainability studies. Data Min. Knowl. Discov. Zhenhui Li, Jiawei Han, Bolin Ding, Roland Kays
2012	—	`—`	Mining periodicity and object relationship in spatial and temporal data Zhenhui Li
2011	A	`conf`	Correlated multi-label feature selection. CIKM Quanquan Gu, Zhenhui Li, Jiawei Han
2011	—	`conf`	Differentially private data cubes: optimizing noise sources and consistency. SIGMOD Conference Bolin Ding, Marianne Winslett, Jiawei Han, Zhenhui Li
2011	A	`conf`	Generalized Fisher Score for Feature Selection. UAI Quanquan Gu, Zhenhui Li, Jiawei Han
2011	B	`conf`	Geo-Friends Recommendation in GPS-based Cyber-physical Social Network. ASONAM Xiao Yu, Ang Pan, Lu-An Tang, Zhenhui Li, Jiawei Han
2011	A*	`conf`	Joint Feature Selection and Subspace Learning. IJCAI Quanquan Gu, Zhenhui Li, Jiawei Han
2011	A*	`conf`	Learning a Kernel for Multi-Task Clustering. AAAI Quanquan Gu, Zhenhui Li, Jiawei Han
2011	—	`conf`	Linear Discriminant Dimensionality Reduction. ECML/PKDD (1) Quanquan Gu, Zhenhui Li, Jiawei Han
2011	B	`conf`	Mining Significant Time Intervals for Relationship Detection. SSTD Zhenhui Li, Cindy Xide Lin, Bolin Ding, Jiawei Han
2011	J	`jnl`	MoveMine: Mining moving object data for discovery of animal movement patterns. ACM Trans. Intell. Syst. Technol. Zhenhui Li, Jiawei Han, Ming Ji, Lu-An Tang, Yintao Yu, Bolin Ding, Jae-Gil Lee, Roland Kays
2010	—	`conf`	Incremental Clustering for Trajectories. DASFAA (2) Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han
2010	A*	`conf`	Keyword extraction for social snippets. WWW Zhenhui Li, Ding Zhou, Yun-Fang Juan, Jiawei Han
2010	—	`conf`	Mining Moving Object, Trajectory and Traffic Data. DASFAA (2) Jiawei Han, Zhenhui Li, Lu-An Tang
2010	A*	`conf`	Mining periodic behaviors for moving objects. KDD Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, Peter Nye
2010	—	`conf`	MoveMine: mining moving object databases. SIGMOD Conference Zhenhui Li, Ming Ji, Jae-Gil Lee, Lu An Tang, Yintao Yu, Jiawei Han, Roland Kays
2010	J	`jnl`	Swarm: Mining Relaxed Temporal Moving Object Clusters. Proc. VLDB Endow. Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays
2009	A*	`conf`	Temporal Outlier Detection in Vehicle Traffic Data. ICDE Xiaolei Li, Zhenhui Li, Jiawei Han, Jae-Gil Lee