World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4667
World Ranking
12681
National Ranking
5125

Overview

Jingtong Hu is affiliated with the University of Pittsburgh in the United States and has a significant research profile primarily in the fields of Computer Science and Engineering. Their work spans several subfields, notably Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology, and Computer Networks and Communications. Their research topics cover a variety of areas including Advanced Neural Network Applications, Advanced Memory and Neural Computing, Domain Adaptation and Few-Shot Learning, Ferroelectric and Negative Capacitance Devices, Cutaneous Melanoma Detection and Management, Privacy-Preserving Technologies in Data, and Energy Harvesting in Wireless Networks.

The recent publications of Jingtong Hu demonstrate collaboration within interdisciplinary topics and venues. Notable papers include:

  • "Hardware/Software Co-Exploration of Neural Architectures," 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators," 2020, IEEE Transactions on Computers
  • "Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start," 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "The importance of resource awareness in artificial intelligence for healthcare," 2023, Nature Machine Intelligence
  • "Distributed contrastive learning for medical image segmentation," 2022, Medical Image Analysis

The scientist frequently publishes in venues such as arXiv (Cornell University), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Embedded Computing Systems, IEEE Transactions on Computers, and Nature Machine Intelligence. This range indicates active participation in both preprint and peer-reviewed platforms across computing and machine intelligence.

Collaborations have been a consistent feature of their career, with repeated co-authorships involving several researchers. Frequent co-authors include:

  • Yiyu Shi
  • Dewen Zeng
  • Yawen Wu
  • Peipei Zhou

Jingtong Hu's publication output reflects a strong focus on integrative approaches combining hardware and software innovations, particularly in neural architecture design and computing-in-memory hardware accelerators. Their research intersects with healthcare applications and resource-aware artificial intelligence as well, revealing multidisciplinary interests within technological and medical domains.

Best Publications

  • A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues

    Yuming Xu;Kenli Li;Jingtong Hu;Keqin Li;Keqin Li

  • Reducing write activities on non-volatile memories in embedded CMPs via data migration and recomputation

    Jingtong Hu;Chun Jason Xue;Wei-Che Tseng;Yi He

  • Hardware/Software Co-Exploration of Neural Architectures

    Weiwen Jiang;Lei Yang;Edwin Hsing-Mean Sha;Qingfeng Zhuge

  • Stream Bench: Towards Benchmarking Modern Distributed Stream Computing Frameworks

    Ruirui Lu;Gang Wu;Bin Xie;Jingtong Hu

  • Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search

    Weiwen Jiang;Xinyi Zhang;Edwin H.-M. Sha;Lei Yang

  • Towards energy efficient hybrid on-chip Scratch Pad Memory with non-volatile memory

    Jingtong Hu;Chun Jason Xue;Qingfeng Zhuge;Wei-Che Tseng

  • Data Placement and Duplication for Embedded Multicore Systems With Scratch Pad Memory

    Yibo Guo;Qingfeng Zhuge;Jingtong Hu;Juan Yi

  • Fixing the broken time machine: consistency-aware checkpointing for energy harvesting powered non-volatile processor

    Mimi Xie;Mengying Zhao;Chen Pan;Jingtong Hu

  • On Neural Architecture Search for Resource-Constrained Hardware Platforms.

    Qing Lu;Weiwen Jiang;Xiaowei Xu;Yiyu Shi

  • Energy-aware preemptive scheduling algorithm for sporadic tasks on DVS platform

    Jing Mei;Kenli Li;Jingtong Hu;Shu Yin

  • Software enabled wear-leveling for hybrid PCM main memory on embedded systems

    Jingtong Hu;Qingfeng Zhuge;Chun Jason Xue;Wei-Che Tseng

  • Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators

    Weiwen Jiang;Qiuwen Lou;Zheyu Yan;Lei Yang

  • Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start

    Weiwen Jiang;Lei Yang;Sakyasingha Dasgupta;Jingtong Hu

  • Data Allocation Optimization for Hybrid Scratch Pad Memory With SRAM and Nonvolatile Memory

    Jingtong Hu;C. J. Xue;Qingfeng Zhuge;Wei-Che Tseng

  • Positional Contrastive Learning for Volumetric Medical Image Segmentation

    Dewen Zeng;Yawen Wu;Xinrong Hu;Xiaowei Xu

  • DAC-SDC Low Power Object Detection Challenge for UAV Applications

    Xiaowei Xu;Xinyi Zhang;Bei Yu;Xiaobo Sharon Hu

  • Optimal Data Allocation for Scratch-Pad Memory on Embedded Multi-core Systems

    Yibo Guo;Qingfeng Zhuge;Jingtong Hu;Meikang Qiu

  • Write activity reduction on flash main memory via smart victim cache

    Liang Shi;Chun Jason Xue;Jingtong Hu;Wei-Che Tseng

  • Write activity reduction on non-volatile main memories for embedded chip multiprocessors

    Jingtong Hu;Chun Jason Xue;Qingfeng Zhuge;Wei-Che Tseng

  • Distributed contrastive learning for medical image segmentation

    Unknown

  • Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference

    Weiwen Jiang;Edwin H.-M. Sha;Xinyi Zhang;Lei Yang

  • DAC-SDC Low Power Object Detection Challenge for UAV Applications

    Xiaowei Xu;Xinyi Zhang;Bei Yu;X. Sharon Hu

Frequent Co-Authors

Edwin H.-M. Sha
Edwin H.-M. Sha East China Normal University
Chun Jason Xue
Chun Jason Xue Mohamed bin Zayed University of Artificial Intelligence
Yiyu Shi
Yiyu Shi University of Notre Dame
Yongpan Liu
Yongpan Liu Tsinghua University
Meikang Qiu
Meikang Qiu Augusta University
Yanzhi Wang
Yanzhi Wang Northeastern University
Zili Shao
Zili Shao Chinese University of Hong Kong
Hai Li
Hai Li Duke University
Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame
Weisheng Zhao
Weisheng Zhao Beihang University

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