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D-Index & Metrics

Computer Science

D-Index
42
Citations
5959
World Ranking
8510
National Ranking
3639

Overview

Hongxia Jin is affiliated with Samsung in the United States and works primarily within the field of computer science.

Their research contributions span several subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Radiology, Nuclear Medicine and Imaging
  • Sociology and Political Science

Jin's main topics of work cover a range of areas such as:

  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Speech and Dialogue Systems
  • Advanced Neural Network Applications
  • Speech Recognition and Synthesis

Their publication record includes papers in various venues:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • International Journal of Environmental Research and Public Health

Some recent publications include:

  • "Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs," 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data," 2020, arXiv (Cornell University)
  • "Predicting Privacy Behavior on Online Social Networks," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation," 2023, arXiv (Cornell University)

Frequent collaborators include:

  • Yilin Shen
  • Yen-Chang Hsu
  • Vijay Srinivasan
  • Kalpa Gunaratna
  • Zsolt Kira

Best Publications

  • Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data

    Yen-Chang Hsu;Yilin Shen;Hongxia Jin;Zsolt Kira

  • Generalizing DTW to the multi-dimensional case requires an adaptive approach

    Mohammad Shokoohi-Yekta;Bing Hu;Hongxia Jin;Jun Wang

  • Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

    Ramprasaath Ramasamy Selvaraju;Stefan Lee;Yilin Shen;Hongxia Jin

  • A Bi-Model Based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling

    Yu Wang;Yilin Shen;Hongxia Jin

  • Dimensionality of information disclosure behavior

    Bart P. Knijnenburg;Bart P. Knijnenburg;Alfred Kobsa;Hongxia Jin

  • Private spatial data aggregation in the local setting

    Rui Chen;Haoran Li;A. K. Qin;Shiva Prasad Kasiviswanathan

  • Differentially Private K-Means Clustering

    Dong Su;Jianneng Cao;Ninghui Li;Elisa Bertino

  • Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning

    James Smith;Yen-Chang Hsu;Jonathan Balloch;Yilin Shen

  • Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference

    Bin Liu;Deguang Kong;Lei Cen;Neil Zhenqiang Gong

  • Efficient Privilege De-Escalation for Ad Libraries in Mobile Apps

    Bin Liu;Hongxia Jin;Ramesh Govindan

  • Tamper-resistant trusted virtual machine

    Honxia Jin;Donald Leake;Jeffrey Lotspiech;Sigfredo Nin

  • A Neural Transition-based Model for Nested Mention Recognition

    Bailin Wang;Wei Lu;Yu Wang;Hongxia Jin

  • Quantified risk-adaptive access control for patient privacy protection in health information systems

    Qihua Wang;Hongxia Jin

  • System, method, and service for detecting improper manipulation of an application

    Hongxia Jin;Ginger Myles

  • Privacy-Preserving Personalized Recommendation: An Instance-Based Approach via Differential Privacy

    Yilin Shen;Hongxia Jin

  • Method for Effective Tamper Resistance

    Hongxia Jin;Jeffrey Bruce Lotspiech;Ginger M. Myles

  • Intelligent decision support for consent management

    Hongxia Jin;Scott Schumacher;Qihua Wang

  • AUTOREB: Automatically Understanding the Review-to-Behavior Fidelity in Android Applications

    Deguang Kong;Lei Cen;Hongxia Jin

  • ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs

    Unknown

  • System and method for assigning sequence keys to a media player to enable hybrid traitor tracing

    Jeffrey Bruce Lotspiech;Hongxia Jin

  • Exploring online social activities for adaptive search personalization

    Qihua Wang;Hongxia Jin

Frequent Co-Authors

Bart P. Knijnenburg
Bart P. Knijnenburg Clemson University
Neil Zhenqiang Gong
Neil Zhenqiang Gong Duke University
Ninghui Li
Ninghui Li Purdue University West Lafayette
Ehab Al-Shaer
Ehab Al-Shaer Carnegie Mellon University
Eamonn Keogh
Eamonn Keogh University of California, Riverside
Larry P. Heck
Larry P. Heck Georgia Institute of Technology
Nimrod Megiddo
Nimrod Megiddo IBM (United States)
Li Xiong
Li Xiong Emory University
Alfred Kobsa
Alfred Kobsa University of California, Irvine
Elisa Bertino
Elisa Bertino Purdue University West Lafayette

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