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D-Index & Metrics

Computer Science

D-Index
47
Citations
11557
World Ranking
6380
National Ranking
2847

Overview

Zhenhui Li is primarily affiliated with Pennsylvania State University in the United States. Their research spans multiple fields with a notable focus on Medicine, encompassing 411 publications. Within this domain, key subfields include Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, and Surgery.

Their work extensively covers topics related to cancer and medical imaging technologies. Prominent areas of research include Radiomics and Machine Learning in Medical Imaging, Colorectal Cancer Surgical Treatments, Gastric Cancer Management and Outcomes, AI in Cancer Detection, Colorectal Cancer Screening and Detection, Colorectal Cancer Treatments and Studies, and Cancer Immunotherapy and Biomarkers.

Zhenhui Li has authored and coauthored several papers in high-profile venues and multidisciplinary journals. Some recent significant publications include:

  • "Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study," 2021, The Lancet Digital Health
  • "Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer," 2020, Nature Communications
  • "Few-Shot Knowledge Graph Completion," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Recent Advances in Reinforcement Learning for Traffic Signal Control," 2021, ACM SIGKDD Explorations Newsletter

Zhenhui Li's work is disseminated through various venues, with frequent contributions to:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • PubMed
  • Research Square
  • Proceedings of the AAAI Conference on Artificial Intelligence

In collaborative efforts, Zhenhui Li has worked closely with several coauthors over multiple projects. Frequent collaborators include Zaiyi Liu, Dafu Zhang, Ke Zhao, Yanfen Cui, and Changhong Liang.

Best Publications

  • Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

    Huaxiu Yao;Fei Wu;Jintao Ke;Xianfeng Tang

  • Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction

    Huaxiu Yao;Xianfeng Tang;Hua Wei;Guanjie Zheng

  • Generalized Fisher score for feature selection

    Quanquan Gu;Zhenhui Li;Jiawei Han

  • DRN: A Deep Reinforcement Learning Framework for News Recommendation

    Guanjie Zheng;Fuzheng Zhang;Zihan Zheng;Yang Xiang

  • IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control

    Hua Wei;Guanjie Zheng;Huaxiu Yao;Zhenhui Li

  • Swarm: mining relaxed temporal moving object clusters

    Zhenhui Li;Bolin Ding;Jiawei Han;Roland Kays

  • Mining periodic behaviors for moving objects

    Zhenhui Li;Bolin Ding;Jiawei Han;Roland Kays

  • CoLight: Learning Network-level Cooperation for Traffic Signal Control

    Hua Wei;Nan Xu;Huichu Zhang;Guanjie Zheng

  • Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control

    Chacha Chen;Hua Wei;Nan Xu;Guanjie Zheng

  • PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network

    Hua Wei;Chacha Chen;Guanjie Zheng;Kan Wu

  • CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

    Huichu Zhang;Siyuan Feng;Chang Liu;Yaoyao Ding

  • Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction

    Huaxiu Yao;Yiding Liu;Ying Wei;Xianfeng Tang

  • Joint feature selection and subspace learning

    Quanquan Gu;Zhenhui Li;Jiawei Han

  • Incremental clustering for trajectories

    Zhenhui Li;Jae-Gil Lee;Xiaolei Li;Jiawei Han

  • Crime Rate Inference with Big Data

    Hongjian Wang;Daniel Kifer;Corina Graif;Zhenhui Li

  • A Simple Baseline for Travel Time Estimation using Large-scale Trip Data

    Hongjian Wang;Xianfeng Tang;Yu-Hsuan Kuo;Daniel Kifer

  • Temporal Outlier Detection in Vehicle Traffic Data

    Xiaolei Li;Zhenhui Li;Jiawei Han;Jae-Gil Lee

  • Few-Shot Knowledge Graph Completion

    Chuxu Zhang;Huaxiu Yao;Chao Huang;Meng Jiang

  • A Survey on Traffic Signal Control Methods.

    Hua Wei;Guanjie Zheng;Vikash V. Gayah;Zhenhui Li

  • Differentially private data cubes: optimizing noise sources and consistency

    Bolin Ding;Marianne Winslett;Jiawei Han;Zhenhui Li

  • Hierarchically structured meta-learning

    Huaxiu Yao;Ying Wei;Junzhou Huang;Zhenhui Li

Frequent Co-Authors

Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Susan L. Brantley
Susan L. Brantley Pennsylvania State University
Daniel Kifer
Daniel Kifer Pennsylvania State University
Quanquan Gu
Quanquan Gu University of California, Los Angeles
Bolin Ding
Bolin Ding Alibaba Group (United States)
Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Wang-Chien Lee
Wang-Chien Lee Pennsylvania State University
Nitesh V. Chawla
Nitesh V. Chawla University of Notre Dame
Weinan Zhang
Weinan Zhang Shanghai Jiao Tong University
Suhang Wang
Suhang Wang Pennsylvania State University

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