Temporal Outlier Detection in Vehicle Traffic Data. - Xiaolei Li 001; Zhenhui Li; Jiawei Han 001; Jae-Gil Lee 001 (ICDE, 2009)

Mining Moving Object, Trajectory and Traffic Data. - Jiawei Han 001; Zhenhui Li; Lu-An Tang (DASFAA (2), 2010)

Incremental Clustering for Trajectories. - Zhenhui Li; Jae-Gil Lee 001; Xiaolei Li 001; Jiawei Han 001 (DASFAA (2), 2010)

Mining periodic behaviors for moving objects. - Zhenhui Li; Bolin Ding; Jiawei Han 001; Roland Kays; Peter Nye (KDD, 2010)

MoveMine: mining moving object databases. - Zhenhui Li; Ming Ji; Jae-Gil Lee 001; Lu An Tang; Yintao Yu; Jiawei Han 001; Roland Kays (SIGMOD Conference, 2010)

Keyword extraction for social snippets. - Zhenhui Li; Ding Zhou; Yun-Fang Juan; Jiawei Han 001 (WWW, 2010)

Swarm: Mining Relaxed Temporal Moving Object Clusters. - Zhenhui Li; Bolin Ding; Jiawei Han 001; Roland Kays (Proc. VLDB Endow., 2010)

Learning a Kernel for Multi-Task Clustering. - Quanquan Gu; Zhenhui Li; Jiawei Han 001 (AAAI, 2011)

Geo-Friends Recommendation in GPS-based Cyber-physical Social Network. - Xiao Yu 007; Ang Pan; Lu-An Tang; Zhenhui Li; Jiawei Han 001 (ASONAM, 2011)

Correlated multi-label feature selection. - Quanquan Gu; Zhenhui Li; Jiawei Han 001 (CIKM, 2011)

Joint Feature Selection and Subspace Learning. - Quanquan Gu; Zhenhui Li; Jiawei Han 001 (IJCAI, 2011)

Linear Discriminant Dimensionality Reduction. - Quanquan Gu; Zhenhui Li; Jiawei Han 001 (ECML/PKDD (1), 2011)

Differentially private data cubes: optimizing noise sources and consistency. - Bolin Ding; Marianne Winslett; Jiawei Han 001; Zhenhui Li (SIGMOD Conference, 2011)

Mining Significant Time Intervals for Relationship Detection. - Zhenhui Li; Cindy Xide Lin; Bolin Ding; Jiawei Han 001 (SSTD, 2011)

Generalized Fisher Score for Feature Selection. - Quanquan Gu; Zhenhui Li; Jiawei Han 001 (UAI, 2011)

MoveMine: Mining moving object data for discovery of animal movement patterns. - Zhenhui Li; Jiawei Han 001; Ming Ji; Lu-An Tang; Yintao Yu; Bolin Ding; Jae-Gil Lee 001; Roland Kays (ACM Trans. Intell. Syst. Technol., 2011)

Enabling direct interest-aware audience selection. - Ariel Fuxman; Anitha Kannan; Zhenhui Li; Panayiotis Tsaparas (CIKM, 2012)

Mining event periodicity from incomplete observations. - Zhenhui Li; Jingjing Wang; Jiawei Han 001 (KDD, 2012)

Mining periodic behaviors of object movements for animal and biological sustainability studies. - Zhenhui Li; Jiawei Han 001; Bolin Ding; Roland Kays (Data Min. Knowl. Discov., 2012)

Locality Preserving Feature Learning. - Quanquan Gu; Marina Danilevsky; Zhenhui Li; Jiawei Han 001 (AISTATS, 2012)

Mining periodicity and object relationship in spatial and temporal data - Zhenhui Li (2012)

Can back-of-the-book indexes be automatically created? - Zhaohui Wu 002; Zhenhui Li; Prasenjit Mitra; C. Lee Giles (CIKM, 2013)

Searching online book documents and analyzing book citations. - Zhaohui Wu 002; Sujatha Das; Zhenhui Li; Prasenjit Mitra; C. Lee Giles (ACM Symposium on Document Engineering, 2013)

Mining Following Relationships in Movement Data. - Zhenhui Li; Fei Wu 007; Margaret Crofoot (ICDM, 2013)

Development of a wall-climbing robot with biped-wheel hybrid locomotion mechanism. - Weiguang Dong; Hongguang Wang; Zhenhui Li; Yong Jiang; Jizhong Xiao (IROS, 2013)

Path planning for power transmission line inspection robot based on visual obstacle detection. - Zhenhui Li; Hongguang Wang; Yuechao Wang (ROBIO, 2013)

Attraction and Avoidance Detection from Movements. - Zhenhui Li; Bolin Ding; Fei Wu 007; Tobias Kin Hou Lei; Roland Kays; Margaret Crofoot (Proc. VLDB Endow., 2013)

Spatiotemporal Pattern Mining: Algorithms and Applications. - Zhenhui Li (Frequent Pattern Mining, 2014)

Who were you talking to - Mining interpersonal relationships from cellphone network data. - Mo Yu; Wenjun Si; Guojie Song; Zhenhui Li; John Yen (ASONAM, 2014)

PGT: Measuring Mobility Relationship Using Personal, Global and Temporal Factors. - Hongjian Wang 002; Zhenhui Li; Wang-Chien Lee (ICDM, 2014)

Mining GPS Data for Trajectory Recommendation. - Peifeng Yin; Mao Ye 002; Wang-Chien Lee; Zhenhui Li (PAKDD (2), 2014)

MoveMine 2.0: Mining Object Relationships from Movement Data. - Fei Wu 007; Tobias Kin Hou Lei; Zhenhui Li; Jiawei Han 001 (Proc. VLDB Endow., 2014)

Semantic Annotaion of Mobility Data using Social Media. - Fei Wu 007; Zhenhui Li; Wang-Chien Lee; Hongjian Wang 002; Zhuojie Huang (WWW, 2015)

SemMobi: A Semantic Annotation System for Mobility Data. - Fei Wu 007; Hongjian Wang 002; Zhenhui Li; Wang-Chien Lee; Zhuojie Huang (WWW (Companion Volume), 2015)

ePeriodicity: Mining Event Periodicity from Incomplete Observations. - Zhenhui Li; Jingjing Wang; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2015)

Where Did You Go: Personalized Annotation of Mobility Records. - Fei Wu 007; Zhenhui Li (CIKM, 2016)

A simple baseline for travel time estimation using large-scale trip data. - Hongjian Wang 002; Yu-Hsuan Kuo; Daniel Kifer; Zhenhui Li (SIGSPATIAL/GIS, 2016)

Interpreting traffic dynamics using ubiquitous urban data. - Fei Wu 007; Hongjian Wang 002; Zhenhui Li (SIGSPATIAL/GIS, 2016)

Crime Rate Inference with Big Data. - Hongjian Wang 002; Daniel Kifer; Corina Graif; Zhenhui Li (KDD, 2016)

Region Representation Learning via Mobility Flow. - Hongjian Wang 002; Zhenhui Li (CIKM, 2017)

Structural Event Detection from Log Messages. - Fei Wu 007; Pranay Anchuri; Zhenhui Li (KDD, 2017)

Contextual Spatial Outlier Detection with Metric Learning. - Guanjie Zheng; Susan L. Brantley; Thomas Lauvaux; Zhenhui Li (KDD, 2017)

Discovery of Causal Time Intervals. - Zhenhui Li; Guanjie Zheng; Amal Agarwal; Lingzhou Xue; Thomas Lauvaux (SDM, 2017)

Semantic Understanding of Spatial Trajectories. - Zhenhui Li (SSTD, 2017)

A Traffic Prediction Model for Self-Adapting Routing Overlay Network in Publish/Subscribe System. - Meng Chi; Jianhua Yang 004; Yabo Liu; Zhenhui Li (Mob. Inf. Syst., 2017)

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. - Huaxiu Yao; Fei Wu 007; Jintao Ke; Xianfeng Tang; Yitian Jia; Siyu Lu; Pinghua Gong; Jieping Ye; Zhenhui Li (AAAI, 2018)

Detecting Outliers in Data with Correlated Measures. - Yu-Hsuan Kuo; Zhenhui Li; Daniel Kifer (CIKM, 2018)

Representation Learning for Large-Scale Dynamic Networks. - Yanwei Yu; Huaxiu Yao; Hongjian Wang 002; Xianfeng Tang; Zhenhui Li (DASFAA (2), 2018)

IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. - Hua Wei 001; Guanjie Zheng; Huaxiu Yao; Zhenhui Li (KDD, 2018)

Context-Aware Location Annotation on Mobility Records Through User Grouping. - Yong Zhang; Hua Wei 001; Xuelian Lin; Fei Wu 007; Zhenhui Li; Kaiheng Chen; Yuandong Wang; Jie Xu 007 (PAKDD (3), 2018)

SIGIR 2018 Workshop on Intelligent Transportation Informatics. - Yan Liu 002; Zhenhui Li; Wei Ai 002; Lingyu Zhang 001 (SIGIR, 2018)

DRN: A Deep Reinforcement Learning Framework for News Recommendation. - Guanjie Zheng; Fuzheng Zhang; Zihan Zheng; Yang Xiang; Nicholas Jing Yuan; Xing Xie 001; Zhenhui Li (WWW, 2018)

Modeling Spatial-Temporal Dynamics for Traffic Prediction. - Huaxiu Yao; Xianfeng Tang; Hua Wei 001; Guanjie Zheng; Yanwei Yu; Zhenhui Li (CoRR, 2018)

Semantic Exploration of Traffic Dynamics. - Fei Wu 007; Hongjian Wang 002; Zhenhui Li (CoRR, 2018)

Inferring Mobility Relationship via Graph Embedding. - Yanwei Yu; Hongjian Wang 002; Zhenhui Li (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. - Huaxiu Yao; Xianfeng Tang; Hua Wei 001; Guanjie Zheng; Zhenhui Li (AAAI, 2019)

Unsupervised Representation Learning of Spatial Data via Multimodal Embedding. - Porter Jenkins; Ahmad Farag; Suhang Wang; Zhenhui Li (CIKM, 2019)

CoLight: Learning Network-level Cooperation for Traffic Signal Control. - Hua Wei 001; Nan Xu; Huichu Zhang; Guanjie Zheng; Xinshi Zang; Chacha Chen; Weinan Zhang 001; Yanmin Zhu 006; Kai Xu 014; Zhenhui Li (CIKM, 2019)

Learning Traffic Signal Control from Demonstrations. - Yuanhao Xiong; Guanjie Zheng; Kai Xu; Zhenhui Li (CIKM, 2019)

Learning Phase Competition for Traffic Signal Control. - Guanjie Zheng; Yuanhao Xiong; Xinshi Zang; Jie Feng 002; Hua Wei 001; Huichu Zhang; Yong Li 008; Kai Xu 014; Zhenhui Li (CIKM, 2019)

Hierarchically Structured Meta-learning. - Huaxiu Yao; Ying Wei 001; Junzhou Huang; Zhenhui Li (ICML, 2019)

PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. - Hua Wei 001; Chacha Chen; Guanjie Zheng; Kan Wu; Vikash V. Gayah; Kai Xu 014; Zhenhui Li (KDD, 2019)

Targeted Knowledge Transfer for Learning Traffic Signal Plans. - Nan Xu; Guanjie Zheng; Kai Xu 014; Yanmin Zhu 006; Zhenhui Li (PAKDD (2), 2019)

Learning Task-Specific City Region Partition. - Hongjian Wang 002; Porter Jenkins; Hua Wei 001; Fei Wu 007; Zhenhui Li (WWW, 2019)

Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. - Huaxiu Yao; Yiding Liu; Ying Wei 001; Xianfeng Tang; Zhenhui Li (WWW, 2019)

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. - Huichu Zhang; Siyuan Feng; Chang Liu 021; Yaoyao Ding; Yichen Zhu; Zihan Zhou 002; Weinan Zhang 001; Yong Yu 001; Haiming Jin; Zhenhui Li (WWW, 2019)

A Survey on Traffic Signal Control Methods. - Hua Wei 001; Guanjie Zheng; Vikash V. Gayah; Zhenhui Li (CoRR, 2019)

Diagnosing Reinforcement Learning for Traffic Signal Control. - Guanjie Zheng; Xinshi Zang; Nan Xu; Hua Wei 001; Zhengyao Yu; Vikash V. Gayah; Kai Xu 014; Zhenhui Li (CoRR, 2019)

Targeted Source Detection for Environmental Data. - Guanjie Zheng; Mengqi Liu; Tao Wen 006; Hongjian Wang 002; Huaxiu Yao; Susan L. Brantley; Zhenhui Li (CoRR, 2019)

Non-Stationary Model for Crime Rate Inference Using Modern Urban Data. - Hongjian Wang 002; Huaxiu Yao; Daniel Kifer; Corina Graif; Zhenhui Li (IEEE Trans. Big Data, 2019)

A Simple Baseline for Travel Time Estimation using Large-scale Trip Data. - Hongjian Wang 002; Xianfeng Tang; Yu-Hsuan Kuo; Daniel Kifer; Zhenhui Li (ACM Trans. Intell. Syst. Technol., 2019)

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. - Chacha Chen; Hua Wei 001; Nan Xu; Guanjie Zheng; Ming Yang; Yuanhao Xiong; Kai Xu 014; Zhenhui Li (AAAI, 2020)

Graph Few-Shot Learning via Knowledge Transfer. - Huaxiu Yao; Chuxu Zhang; Ying Wei 001; Meng Jiang 001; Suhang Wang; Junzhou Huang; Nitesh V. Chawla; Zhenhui Li (AAAI, 2020)

MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control. - Xinshi Zang; Huaxiu Yao; Guanjie Zheng; Nan Xu; Kai Xu; Zhenhui Li (AAAI, 2020)

Few-Shot Knowledge Graph Completion. - Chuxu Zhang; Huaxiu Yao; Chao Huang 001; Meng Jiang 001; Zhenhui Li; Nitesh V. Chawla (AAAI, 2020)

Learning to Simulate Vehicle Trajectories from Demonstrations. - Guanjie Zheng; Hanyang Liu; Kai Xu; Zhenhui Li (ICDE, 2020)

Automated Relational Meta-learning. - Huaxiu Yao; Xian Wu 001; Zhiqiang Tao; Yaliang Li; Bolin Ding; Ruirui Li 002; Zhenhui Li (ICLR, 2020)

Learning with Small Data. - Huaxiu Yao; Xiaowei Jia; Vipin Kumar 001; Zhenhui Li (KDD, 2020)

Online Structured Meta-learning. - Huaxiu Yao; Yingbo Zhou; Mehrdad Mahdavi; Zhenhui Li; Richard Socher; Caiming Xiong (NeurIPS, 2020)

Learning to Simulate on Sparse Trajectory Data. - Hua Wei 001; Chacha Chen; Chang Liu 021; Guanjie Zheng; Zhenhui Li (ECML/PKDD (4), 2020)

Learning with Small Data. - Zhenhui Li; Huaxiu Yao; Fenglong Ma (WSDM, 2020)

A Probabilistic Simulator of Spatial Demand for Product Allocation. - Porter Jenkins; Hua Wei 001; J. Stockton Jenkins; Zhenhui Li (CoRR, 2020)

Learning to Simulate Human Movement. - Hua Wei 001; Zhenhui Li (CoRR, 2020)

Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning. - Huaxiu Yao; Longkai Huang; Ying Wei 001; Li Tian; Junzhou Huang; Zhenhui Li (CoRR, 2020)

Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records. - Jiatu Shi; Huaxiu Yao; Xian Wu; Tong Li; Zedong Lin; Tengfei Wang 006; Binqiang Zhao; Zhenhui Li (CoRR, 2020)

Automatic Historical Feature Generation through Tree-based Method in Ads Prediction. - Hongjian Wang 002; Qi Li; Lanbo Zhang; Yue Lu; Steven Yoo; Srinivas Vadrevu; Zhenhui Li (CoRR, 2020)

Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation. - Hua Wei 001; Guanjie Zheng; Vikash V. Gayah; Zhenhui Li (SIGKDD Explor., 2020)

How Do We Move: Modeling Human Movement with System Dynamics. - Hua Wei 001; Dongkuan Xu; Junjie Liang; Zhenhui Li (AAAI, 2021)

Neural Utility Functions. - Porter Jenkins; Ahmad Farag; J. Stockton Jenkins; Huaxiu Yao; Suhang Wang; Zhenhui Li (AAAI, 2021)

Probabilistic simulation of spatial demand for intelligent product allocation. - Porter Jenkins; Hua Wei 001; J. Stockton Jenkins; Zhenhui Li (GeoSim@SIGSPATIAL, 2021)

Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. - Guanjie Zheng; Chang Liu 021; Hua Wei 001; Chacha Chen; Zhenhui Li (ICDE, 2021)

Improving Generalization in Meta-learning via Task Augmentation. - Huaxiu Yao; Long-Kai Huang; Linjun Zhang; Ying Wei 001; Li Tian; James Zou 001; Junzhou Huang; Zhenhui Li (ICML, 2021)

Boosting Offline Reinforcement Learning with Residual Generative Modeling. - Hua Wei 001; Deheng Ye; Zhao Liu; Hao Wu; Bo Yuan 008; Qiang Fu 016; Wei Yang 032; Zhenhui Li (IJCAI, 2021)

Knowledge-based Residual Learning. - Guanjie Zheng; Chang Liu 021; Hua Wei 001; Porter Jenkins; Chacha Chen; Tao Wen 006; Zhenhui Li (IJCAI, 2021)

Objective-aware Traffic Simulation via Inverse Reinforcement Learning. - Guanjie Zheng; Hanyang Liu; Kai Xu; Zhenhui Li (IJCAI, 2021)

Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery. - Huaxiu Yao; Ying Wei 001; Long-Kai Huang; Ding Xue; Junzhou Huang; Zhenhui Li (NeurIPS, 2021)

Learning to Route via Theory-Guided Residual Network. - Chang Liu 021; Guanjie Zheng; Zhenhui Li (CoRR, 2021)

Citywide Traffic Volume Inference with Surveillance Camera Records. - Yanwei Yu; Xianfeng Tang; Huaxiu Yao; Xiuwen Yi; Zhenhui Li (IEEE Trans. Big Data, 2021)

App2Vec: Context-Aware Application Usage Prediction. - Huandong Wang; Yong Li 008; Mu Du; Zhenhui Li; Depeng Jin (ACM Trans. Knowl. Discov. Data, 2021)

Bayesian Model-Based Offline Reinforcement Learning for Product Allocation. - Porter Jenkins; Hua Wei 001; J. Stockton Jenkins; Zhenhui Li (AAAI, 2022)

The Third Workshop on Data-driven Intelligent Transportation. - Hua Wei 001; Guni Sharon; Cathy Wu 002; Sanjay Chawla; Zhenhui Li (CIKM, 2022)

HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. - Haoyu Geng; Guanjie Zheng; Zhengqing Han; Hua Wei 001; Zhenhui Li (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

CBLab: Scalable Traffic Simulation with Enriched Data Supporting. - Chumeng Liang; Zherui Huang; Yicheng Liu; Zhanyu Liu; Guanjie Zheng; Hanyuan Shi; Yuhao Du; Fuliang Li; Zhenhui Li (CoRR, 2022)

Meta multi-task nuclei segmentation with fewer training samples. - Chu Han; Huasheng Yao; Bingchao Zhao; Zhenhui Li; Zhenwei Shi; Lei Wu; Xin Chen 058; Jinrong Qu; Ke Zhao; Rushi Lan; Changhong Liang; Xipeng Pan; et al. (Medical Image Anal., 2022)

Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images. - Meiyu Li; Kaicong Sun; Yuning Gu; Kai Zhang 039; Yiqun Sun; Zhenhui Li; Dinggang Shen (MICCAI (7), 2023)

MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation. - Jiadong Zhang; Qianqian Chen; Luping Zhou; Zhiming Cui; Fei Gao 010; Zhenhui Li; Qianjin Feng; Dinggang Shen (CaPTion@MICCAI, 2023)

Digital inclusive finance, economic growth and innovative development. - Wenjing Wang; Taiyi He; Zhenhui Li (Kybernetes, 2023)

HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images. - Yuhao Mo; Chu Han; Yu Liu; Min Liu; Zhenwei Shi; Jiatai Lin; Bingchao Zhao; Chunwang Huang; Bingjiang Qiu; Yanfen Cui; Lei Wu; Xipeng Pan; et al. (IEEE Trans. Medical Imaging, 2023)

A Bit-Level Three-Dimensional Rectangular Image Encryption Algorithm Using New Chaotic Maps. - Zhenhui Li; Zhouli He; Feng Huang; Renyuan Jia (Autom. Control. Comput. Sci., 2023)

Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study. - Zhengyun Feng; Huan Lin; Zaiyi Liu; Lixu Yan; Yumeng Wang; Bingbing Li; Entao Liu; Chu Han; Zhenwei Shi; Cheng Lu 001; Zhenbing Liu; Cheng Pang; et al. (Comput. Methods Programs Biomed., 2023)

A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. - Jiadong Zhang; Zhiming Cui; Zhenwei Shi; Yingjia Jiang; Zhiliang Zhang; Xiaoting Dai; Zhenlu Yang; Yuning Gu; Lei Zhou 003; Chu Han; Xiaomei Huang; Chenglu Ke; et al. (Patterns, 2023)

A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. - Yonghao Li; Yiqing Shen 003; Jiadong Zhang; Shujie Song; Zhenhui Li; Jing Ke; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning. - Jiadong Zhang; Zhiming Cui; Luping Zhou; Yiqun Sun; Zhenhui Li; Zaiyi Liu; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Improving IP Geolocation With Target-Centric IP Graph (Student Abstract). - Kai Yang; Jiayang Li; Wenxin Tai; Zhenhui Li; Ting Zhong; Guangqiang Yin; Yong Wang 011 (AAAI, 2024)

FMA-YOLO: An Algorithm for Detecting Vehicles and Pedestrians in Infrared Road Scenarios. - Xin Cong; Zhenhui Li; Lingling Zi (CGI (1), 2024)

Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck. - Kai Yang; Wenxin Tai; Zhenhui Li; Ting Zhong; Guangqiang Yin; Yong Wang 046; Fan Zhou 002 (ICASSP, 2024)

IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images. - Haoyuan Chen; Yonghao Li; Jiadong Zhang; Qi Xu; Meiyu Li; Zhenhui Li; Xuejun Qian; Dinggang Shen (MLMI@MICCAI (1), 2024)

Live chicken body fat measurement technology based on bio-electrical impedance. - Jiaming Zuo; Jinping Liang; Shangshang Cheng; Yuelin Deng; Zhenhui Li; Qinghua Nie; Dexiang Zhang; Xiquan Zhang; Zhen Li; Hongmei Li (Comput. Electron. Agric., 2024)

SC-Net: Symmetrical conical network for colorectal pathology image segmentation. - Gang Zhang; Zifen He; Yinhui Zhang; Zhenhui Li; Lin Wu (Comput. Methods Programs Biomed., 2024)

iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer. - 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; et al. (CoRR, 2024)

Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model. - Luyang Luo; Mingxiang Wu; Mei Li; Yi Xin; Qiong Wang 001; Varut Vardhanabhuti; Winnie C. W. Chu; Zhenhui Li; Juan Zhou; Pranav Rajpurkar; Hao Chen 011 (CoRR, 2024)

Scalable Analysis of Urban Scaling Laws: Leveraging Cloud Computing to Analyze 21,280 Global Cities. - Zhenhui Li; Hongwei Zhang; Kan Wu (CoRR, 2024)

Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis. - Qianqian Chen; Jiadong Zhang; Runqi Meng; Lei Zhou 003; Zhenhui Li; Qianjin Feng; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

CFI-ViT: A coarse-to-fine inference based vision transformer for gastric cancer subtype detection using pathological images. - Xinghang Wang; Haibo Tao; Bin Wang; Huaiping Jin; Zhenhui Li (Biomed. Signal Process. Control., 2025)

Design of a Fast Image Encryption Algorithm Based on a Novel 2D Chaotic Map and DNA Encoding. - Yuchen Fu; Zhenhui Li; Feng Huang; Wang Ning; Haoran Lyu (Secur. Priv., 2025)

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI. - Lei Zhou 003; Yuzhong Zhang; Jiadong Zhang; Xuejun Qian; Chen Gong 002; Kun Sun; Zhongxiang Ding; Xing Wang; Zhenhui Li; Zaiyi Liu; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)

CWC-transformer: a visual transformer approach for compressed whole slide image classification. - Yaowei Wang; Jing Guo; Yun Yang; Yan Kang; Yuelong Xia; Zhenhui Li; Yongchun Duan; Kelong Wang (Neural Comput. Appl., 2025)

Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach. - Jinzhou Cao; Xiangxu Wang; Jiashi Chen; Wei Tu 001; Zhenhui Li; Xindong Yang; Tianhong Zhao; Qingquan Li (CoRR, 2025)

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology. - Jiabo Ma; Yingxue Xu; Fengtao Zhou; Yihui Wang 002; Cheng Jin 003; Zhengrui Guo; Jianfeng Wu; On Ki Tang; Huajun Zhou; Xi Wang 013; Luyang Luo; Zhengyu Zhang; et al. (CoRR, 2025)

Predictive value of enhanced CT and pathological indicators in lymph node metastasis in patients with gastric cancer based on GEE model. - Ling Yang; Yingying Ding; Dafu Zhang; Guangjun Yang; Xingxiang Dong; Zhiping Zhang; Caixia Zhang; Wenjie Zhang; Youguo Dai; Zhenhui Li (BMC Medical Imaging, 2025)

Adaptive token attribute fitting for enhanced semantic segmentation in whole slide imaging. - Yinhui Zhang; Ying Huang; Gang Zhang; Zifen He; Zhenhui Li; Lin Wu (Digit. Signal Process., 2026)

ST-Camba: A decoupled-free spatiotemporal graph fusion state space model with linear complexity for efficient traffic forecasting. - Xiangxu Wang; Jinzhou Cao; Tianhong Zhao; Bowen Zhang; Guanzhou Chen 001; Zhenhui Li; Haolin Chen; Wei Tu 001; Qingquan Li (Inf. Fusion, 2026)