Cong Han

ORCID: 0009-0003-6516-1139
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Research Areas
  • Molecular Sensors and Ion Detection
  • Video Analysis and Summarization
  • Multimodal Machine Learning Applications
  • Sulfur Compounds in Biology
  • Smart Agriculture and AI
  • Luminescence and Fluorescent Materials
  • Electrochemical sensors and biosensors
  • Digital Platforms and Economics
  • Technology and Security Systems
  • Eicosanoids and Hypertension Pharmacology
  • Analytical Chemistry and Sensors
  • Chemical Thermodynamics and Molecular Structure
  • Energetic Materials and Combustion
  • Artificial Intelligence in Games
  • Japanese History and Culture
  • Auction Theory and Applications
  • Consumer Market Behavior and Pricing
  • Advanced Image and Video Retrieval Techniques
  • Natural Language Processing Techniques
  • Food Supply Chain Traceability
  • Thermal and Kinetic Analysis

Yunnan Agricultural University
2025

Baidu (China)
2024-2025

Shenyang University of Chemical Technology
2022

Introduction Weeds are a major factor affecting crop yield and quality. Accurate identification localization of crops weeds essential for achieving automated weed management in precision agriculture, especially given the challenges recognition accuracy real-time processing complex field environments. To address this issue, paper proposes an efficient crop-weed segmentation model based on improved UNet architecture attention mechanisms to enhance both speed. Methods The adopts encoder-decoder...

10.3389/fpls.2024.1449514 article EN cc-by Frontiers in Plant Science 2025-01-13

10.1145/3626772.3661350 article EN Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 2024-07-10

H2S is an important signal molecule in living systems and related with many physiological processes diseases. Rapid detection of H2S, hence, for studying early diagnosis Deep insight into the sensing mechanism significant inspiring design modification high-efficiency probes. The current study has theoretically investigated recognition fluorescence a newly reported probe. determined to be reaction between probe HS- anion, rationality which further confirmed from property product....

10.1021/acs.jpca.2c00782 article EN The Journal of Physical Chemistry A 2022-05-03

Auto-bidding plays an important role in online advertising and has become a crucial tool for advertisers platforms to meet their performance objectives optimize the efficiency of ad delivery. Advertisers employing auto-bidding only need express high-level goals constraints, leave bid optimization problem platforms. As obviously changed bidding language way participate auction, fundamental investigation into mechanism design environment should be made study interaction with advertisers. In...

10.48550/arxiv.2012.02652 preprint EN other-oa arXiv (Cornell University) 2020-01-01

Dynamic image advertising is an add-on service in search that matches visuals to ads real-time. However, the matching system encompasses various sub-tasks with different objectives, increasing complexity of achieving global optimization. Besides, prevalent long-tailed data poses a challenge multimodal representation learning dynamic advertising. Recently, vision-language pre-trained models have achieved remarkable performance across variety tasks, and implemented as foundational model...

10.1145/3627673.3680014 article EN 2024-10-20

Rapid detection of hidden nitramine explosives in public areas is a pressing concern for safety. Deep insight into the sensing mechanism significant and inspiring to design new high-efficiency probes. This study has theoretically investigated recognition fluorescence newly reported probe, proposing reaction pattern product probe with photodegraded radical nitro dioxide (NO2) nitramines. The rationality confirmed by properties, IR analysis, energy profiles. found be an H-abstraction via NO2...

10.1021/acs.jpca.1c08838 article EN The Journal of Physical Chemistry A 2022-02-01

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

10.2139/ssrn.4347403 article EN 2023-01-01

10.1159/000346780 article Cerebrovascular Diseases 2012-01-01
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