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2020 – today
- 2024
[j24]Jiaming Zuo, Jinping Liang, Shangshang Cheng
, Yuelin Deng, Zhenhui Li, Qinghua Nie, Dexiang Zhang, Xiquan Zhang, Zhen Li, Hongmei Li:
Live chicken body fat measurement technology based on bio-electrical impedance. Comput. Electron. Agric. 220: 108890 (2024)- [j23]Gang Zhang, Zifen He, Yinhui Zhang, Zhenhui Li, Lin Wu:
SC-Net: Symmetrical conical network for colorectal pathology image segmentation. Comput. Methods Programs Biomed. 248: 108119 (2024) - [j22]Qianqian Chen, Jiadong Zhang, Runqi Meng, Lei Zhou, Zhenhui Li, Qianjin Feng, Dinggang Shen:
Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis. IEEE Trans. Medical Imaging 43(5): 1958-1971 (2024) - [c81]Kai Yang, Jiayang Li, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang:
Improving IP Geolocation With Target-Centric IP Graph (Student Abstract). AAAI 2024: 23693-23695 - [c80]Kai Yang, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang, Fan Zhou:
Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck. ICASSP 2024: 7270-7274 - [c79]Haoyuan Chen, Yonghao Li, Jiadong Zhang, Qi Xu, Meiyu Li, Zhenhui Li, Xuejun Qian, Dinggang Shen:
IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images. MLMI@MICCAI (1) 2024: 22-30 - [i32]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:
iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer. CoRR abs/2404.01192 (2024) - [i31]Lei Zhou, Yuzhong Zhang, Jiadong Zhang, Xuejun Qian, Chen Gong, Kun Sun, Zhongxiang Ding, Xing Wang, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI. CoRR abs/2408.05803 (2024) - [i30]Luyang Luo, Mingxiang Wu, Mei Li, Yi Xin, Qiong Wang, Varut Vardhanabhuti, Winnie CW Chu, Zhenhui Li, Juan Zhou, Pranav Rajpurkar, Hao Chen:
Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model. CoRR abs/2408.12606 (2024) - 2023
- [j21]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): 380-388 (2023) - [j20]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: 107617 (2023) - [j19]Wenjing Wang, Taiyi He, Zhenhui Li:
Digital inclusive finance, economic growth and innovative development. Kybernetes 52(9): 3064-3084 (2023) - [j18]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): 100826 (2023) - [j17]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): 1696-1706 (2023) - [j16]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): 3907-3918 (2023) - [j15]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): 3944-3955 (2023) - [c78]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: 89-96 - [c77]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: 94-104 - [i29]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) - 2022
- [j14]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: 102481 (2022) - [c76]Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li:
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation. AAAI 2022: 12531-12537 - [c75]Hua Wei, Guni Sheron, Cathy Wu, Sanjay Chawla, Zhenhui Li:
The Third Workshop on Data-driven Intelligent Transportation. CIKM 2022: 5177-5178 - [c74]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 - [i28]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
- [j13]Yanwei Yu, Xianfeng Tang, Huaxiu Yao, Xiuwen Yi, Zhenhui Li:
Citywide Traffic Volume Inference with Surveillance Camera Records. IEEE Trans. Big Data 7(6): 900-912 (2021) - [j12]Huandong Wang, Yong Li, Mu Du, Zhenhui Li, Depeng Jin:
App2Vec: Context-Aware Application Usage Prediction. ACM Trans. Knowl. Discov. Data 15(6): 112:1-112:21 (2021) - [c73]Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li:
How Do We Move: Modeling Human Movement with System Dynamics. AAAI 2021: 4445-4452 - [c72]Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li:
Neural Utility Functions. AAAI 2021: 7917-7925 - [c71]Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li:
Probabilistic simulation of spatial demand for intelligent product allocation. GeoSim@SIGSPATIAL 2021: 9-18 - [c70]Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li:
Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. ICDE 2021: 301-312 - [c69]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: 11887-11897 - [c68]Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li:
Knowledge-based Residual Learning. IJCAI 2021: 1653-1659 - [c67]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: 3574-3580 - [c66]Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li:
Objective-aware Traffic Simulation via Inverse Reinforcement Learning. IJCAI 2021: 3771-3777 - [c65]Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui Li:
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery. NeurIPS 2021: 8256-8268 - [i27]Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Simulate on Sparse Trajectory Data. CoRR abs/2103.11845 (2021) - [i26]Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Route via Theory-Guided Residual Network. CoRR abs/2105.08279 (2021) - [i25]Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li:
Objective-aware Traffic Simulation via Inverse Reinforcement Learning. CoRR abs/2105.09560 (2021) - [i24]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 abs/2106.10411 (2021) - 2020
- [j11]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) - [c64]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 - [c63]Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla:
Few-Shot Knowledge Graph Completion. AAAI 2020: 3041-3048 - [c62]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 - [c61]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: 6656-6663 - [c60]Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li:
Learning to Simulate Vehicle Trajectories from Demonstrations. ICDE 2020: 1822-1825 - [c59]Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li:
Automated Relational Meta-learning. ICLR 2020 - [c58]Huaxiu Yao, Xiaowei Jia, Vipin Kumar, Zhenhui Li:
Learning with Small Data. KDD 2020: 3539-3540 - [c57]Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong:
Online Structured Meta-learning. NeurIPS 2020 - [c56]Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) 2020: 530-545 - [c55]Zhenhui Li, Huaxiu Yao, Fenglong Ma:
Learning with Small Data. WSDM 2020: 884-887 - [i23]Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li:
Automated Relational Meta-learning. CoRR abs/2001.00745 (2020) - [i22]Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li:
A Probabilistic Simulator of Spatial Demand for Product Allocation. CoRR abs/2001.03210 (2020) - [i21]Hua Wei, Zhenhui Li:
Learning to Simulate Human Movement. CoRR abs/2003.00613 (2020) - [i20]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 abs/2007.13040 (2020) - [i19]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 abs/2008.00181 (2020) - [i18]Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong:
Online Structured Meta-learning. CoRR abs/2010.11545 (2020) - [i17]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 abs/2012.15522 (2020)
2010 – 2019
- 2019
- [j10]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): 180-194 (2019) - [j9]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): 19:1-19:22 (2019) - [c54]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 - [c53]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 - [c52]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 - [c51]Porter Jenkins, Ahmad Farag, Suhang Wang, Zhenhui Li:
Unsupervised Representation Learning of Spatial Data via Multimodal Embedding. CIKM 2019: 1993-2002 - [c50]Yuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li:
Learning Traffic Signal Control from Demonstrations. CIKM 2019: 2289-2292 - [c49]Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li:
Hierarchically Structured Meta-learning. ICML 2019: 7045-7054 - [c48]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 - [c47]Nan Xu, Guanjie Zheng, Kai Xu, Yanmin Zhu, Zhenhui Li:
Targeted Knowledge Transfer for Learning Traffic Signal Plans. PAKDD (2) 2019: 175-187 - [c46]Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li:
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. WWW 2019: 2181-2191 - [c45]Hongjian Wang, Porter Jenkins, Hua Wei, Fei Wu, Zhenhui Li:
Learning Task-Specific City Region Partition. WWW 2019: 3300-3306 - [c44]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: 3620-3624 - [i16]Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li:
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. CoRR abs/1901.08518 (2019) - [i15]Hua Wei, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li:
A Survey on Traffic Signal Control Methods. CoRR abs/1904.08117 (2019) - [i14]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) - [i13]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) - [i12]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 abs/1905.05217 (2019) - [i11]Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li:
Hierarchically Structured Meta-learning. CoRR abs/1905.05301 (2019) - [i10]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) - [i9]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) - [i8]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 abs/1910.03053 (2019) - [i7]Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla:
Few-Shot Knowledge Graph Completion. CoRR abs/1911.11298 (2019) - 2018
- [j8]Yanwei Yu, Hongjian Wang, Zhenhui Li:
Inferring Mobility Relationship via Graph Embedding. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 147:1-147:21 (2018) - [c43]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: 2588-2595 - [c42]Yu-Hsuan Kuo, Zhenhui Li, Daniel Kifer:
Detecting Outliers in Data with Correlated Measures. CIKM 2018: 287-296 - [c41]Yanwei Yu, Huaxiu Yao, Hongjian Wang, Xianfeng Tang, Zhenhui Li:
Representation Learning for Large-Scale Dynamic Networks. DASFAA (2) 2018: 526-541 - [c40]Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li:
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. KDD 2018: 2496-2505 - [c39]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: 583-596 - [c38]Yan Liu, Zhenhui Li, Wei Ai, Lingyu Zhang:
SIGIR 2018 Workshop on Intelligent Transportation Informatics. SIGIR 2018: 1441-1443 - [c37]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 - [i6]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 abs/1802.08714 (2018) - [i5]Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Yanwei Yu, Zhenhui Li:
Modeling Spatial-Temporal Dynamics for Traffic Prediction. CoRR abs/1803.01254 (2018) - [i4]Fei Wu, Hongjian Wang, Zhenhui Li:
Semantic Exploration of Traffic Dynamics. CoRR abs/1804.04165 (2018) - [i3]Yu-Hsuan Kuo, Zhenhui Li, Daniel Kifer:
Detecting Outliers in Data with Correlated Measures. CoRR abs/1808.08640 (2018) - 2017
- [j7]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: 8429878:1-8429878:8 (2017) - [c36]Hongjian Wang, Zhenhui Li:
Region Representation Learning via Mobility Flow. CIKM 2017: 237-246 - [c35]Fei Wu, Pranay Anchuri, Zhenhui Li:
Structural Event Detection from Log Messages. KDD 2017: 1175-1184 - [c34]Guanjie Zheng, Susan L. Brantley, Thomas Lauvaux, Zhenhui Li:
Contextual Spatial Outlier Detection with Metric Learning. KDD 2017: 2161-2170 - [c33]Zhenhui Li, Guanjie Zheng, Amal Agarwal, Lingzhou Xue, Thomas Lauvaux:
Discovery of Causal Time Intervals. SDM 2017: 804-812 - [c32]Zhenhui Li:
Semantic Understanding of Spatial Trajectories. SSTD 2017: 398-401 - 2016
- [c31]Fei Wu, Zhenhui Li:
Where Did You Go: Personalized Annotation of Mobility Records. CIKM 2016: 589-598 - [c30]Hongjian Wang, Yu-Hsuan Kuo, Daniel Kifer, Zhenhui Li:
A simple baseline for travel time estimation using large-scale trip data. SIGSPATIAL/GIS 2016: 61:1-61:4 - [c29]Fei Wu, Hongjian Wang, Zhenhui Li:
Interpreting traffic dynamics using ubiquitous urban data. SIGSPATIAL/GIS 2016: 69:1-69:4 - [c28]Hongjian Wang, Daniel Kifer, Corina Graif, Zhenhui Li:
Crime Rate Inference with Big Data. KDD 2016: 635-644 - 2015
- [j6]Zhenhui Li, Jingjing Wang, Jiawei Han:
ePeriodicity: Mining Event Periodicity from Incomplete Observations. IEEE Trans. Knowl. Data Eng. 27(5): 1219-1232 (2015) - [c27]Fei Wu, Hongjian Wang, Zhenhui Li, Wang-Chien Lee, Zhuojie Huang:
SemMobi: A Semantic Annotation System for Mobility Data. WWW (Companion Volume) 2015: 255-258 - [c26]Fei Wu, Zhenhui Li, Wang-Chien Lee, Hongjian Wang, Zhuojie Huang:
Semantic Annotaion of Mobility Data using Social Media. WWW 2015: 1253-1263 - [i2]Hongjian Wang, Zhenhui Li, Yu-Hsuan Kuo, Dan Kifer:
A Simple Baseline for Travel Time Estimation using Large-Scale Trip Data. CoRR abs/1512.08580 (2015) - 2014
- [j5]Fei Wu, Tobias Kin Hou Lei, Zhenhui Li, Jiawei Han:
MoveMine 2.0: Mining Object Relationships from Movement Data. Proc. VLDB Endow. 7(13): 1613-1616 (2014) - [c25]Mo Yu, Wenjun Si, Guojie Song, Zhenhui Li, John Yen:
Who were you talking to - Mining interpersonal relationships from cellphone network data. ASONAM 2014: 485-490 - [c24]Hongjian Wang, Zhenhui Li, Wang-Chien Lee:
PGT: Measuring Mobility Relationship Using Personal, Global and Temporal Factors. ICDM 2014: 570-579 - [c23]Peifeng Yin, Mao Ye, Wang-Chien Lee, Zhenhui Li:
Mining GPS Data for Trajectory Recommendation. PAKDD (2) 2014: 50-61 - [p1]Zhenhui Li:
Spatiotemporal Pattern Mining: Algorithms and Applications. Frequent Pattern Mining 2014: 283-306 - 2013
- [j4]Zhenhui Li, Bolin Ding, Fei Wu, Tobias Kin Hou Lei, Roland Kays, Margaret Crofoot:
Attraction and Avoidance Detection from Movements. Proc. VLDB Endow. 7(3): 157-168 (2013) - [c22]Zhaohui Wu, Zhenhui Li, Prasenjit Mitra, C. Lee Giles:
Can back-of-the-book indexes be automatically created? CIKM 2013: 1745-1750 - [c21]Zhaohui Wu, Sujatha Das, Zhenhui Li, Prasenjit Mitra, C. Lee Giles:
Searching online book documents and analyzing book citations. ACM Symposium on Document Engineering 2013: 81-90 - [c20]Zhenhui Li, Fei Wu, Margaret Crofoot:
Mining Following Relationships in Movement Data. ICDM 2013: 458-467 - [c19]Weiguang Dong, Hongguang Wang, Zhenhui Li, Yong Jiang, Jizhong Xiao:
Development of a wall-climbing robot with biped-wheel hybrid locomotion mechanism. IROS 2013: 2333-2338 - [c18]Zhenhui Li, Hongguang Wang, Yuechao Wang:
Path planning for power transmission line inspection robot based on visual obstacle detection. ROBIO 2013: 158-163 - 2012
- [b1]Zhenhui Li:
Mining periodicity and object relationship in spatial and temporal data. University of Illinois Urbana-Champaign, USA, 2012 - [j3]Zhenhui Li, Jiawei Han, Bolin Ding, Roland Kays:
Mining periodic behaviors of object movements for animal and biological sustainability studies. Data Min. Knowl. Discov. 24(2): 355-386 (2012) - [c17]Ariel Fuxman, Anitha Kannan, Zhenhui Li, Panayiotis Tsaparas:
Enabling direct interest-aware audience selection. CIKM 2012: 575-584 - [c16]Zhenhui Li, Jingjing Wang, Jiawei Han:
Mining event periodicity from incomplete observations. KDD 2012: 444-452 - [c15]Quanquan Gu, Marina Danilevsky, Zhenhui Li, Jiawei Han:
Locality Preserving Feature Learning. AISTATS 2012: 477-485 - [i1]Quanquan Gu, Zhenhui Li, Jiawei Han:
Generalized Fisher Score for Feature Selection. CoRR abs/1202.3725 (2012) - 2011
- [j2]Zhenhui Li, Jiawei Han, Ming Ji, Lu-An Tang, Yintao Yu, Bolin Ding, Jae-Gil Lee, Roland Kays:
MoveMine: Mining moving object data for discovery of animal movement patterns. ACM Trans. Intell. Syst. Technol. 2(4): 37:1-37:32 (2011) - [c14]Quanquan Gu, Zhenhui Li, Jiawei Han:
Learning a Kernel for Multi-Task Clustering. AAAI 2011: 368-373 - [c13]Xiao Yu, Ang Pan, Lu-An Tang, Zhenhui Li, Jiawei Han:
Geo-Friends Recommendation in GPS-based Cyber-physical Social Network. ASONAM 2011: 361-368 - [c12]Quanquan Gu, Zhenhui Li, Jiawei Han:
Correlated multi-label feature selection. CIKM 2011: 1087-1096 - [c11]Quanquan Gu, Zhenhui Li, Jiawei Han:
Joint Feature Selection and Subspace Learning. IJCAI 2011: 1294-1299 - [c10]Quanquan Gu, Zhenhui Li, Jiawei Han:
Linear Discriminant Dimensionality Reduction. ECML/PKDD (1) 2011: 549-564 - [c9]Bolin Ding, Marianne Winslett, Jiawei Han, Zhenhui Li:
Differentially private data cubes: optimizing noise sources and consistency. SIGMOD Conference 2011: 217-228 - [c8]Zhenhui Li, Cindy Xide Lin, Bolin Ding, Jiawei Han:
Mining Significant Time Intervals for Relationship Detection. SSTD 2011: 386-403 - [c7]Quanquan Gu, Zhenhui Li, Jiawei Han:
Generalized Fisher Score for Feature Selection. UAI 2011: 266-273 - 2010
- [j1]Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays:
Swarm: Mining Relaxed Temporal Moving Object Clusters. Proc. VLDB Endow. 3(1): 723-734 (2010) - [c6]Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han:
Incremental Clustering for Trajectories. DASFAA (2) 2010: 32-46 - [c5]Jiawei Han, Zhenhui Li, Lu-An Tang:
Mining Moving Object, Trajectory and Traffic Data. DASFAA (2) 2010: 485-486 - [c4]Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, Peter Nye:
Mining periodic behaviors for moving objects. KDD 2010: 1099-1108 - [c3]Zhenhui Li, Ming Ji, Jae-Gil Lee, Lu An Tang, Yintao Yu, Jiawei Han, Roland Kays:
MoveMine: mining moving object databases. SIGMOD Conference 2010: 1203-1206 - [c2]Zhenhui Li, Ding Zhou, Yun-Fang Juan, Jiawei Han:
Keyword extraction for social snippets. WWW 2010: 1143-1144
2000 – 2009
- 2009
- [c1]Xiaolei Li, Zhenhui Li, Jiawei Han, Jae-Gil Lee:
Temporal Outlier Detection in Vehicle Traffic Data. ICDE 2009: 1319-1322
Coauthor Index
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