Yunhe Feng

Orcid: 0000-0001-6577-227X

According to our database1, Yunhe Feng authored at least 45 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Benchmarking the Robustness of UAV Tracking Against Common Corruptions.
CoRR, 2024

S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document.
CoRR, 2024

PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis.
Proceedings of the 2024 ACM Southeast Conference, 2024

2023
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning.
CoRR, 2023

Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing.
CoRR, 2023

Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards Fairness-aware Adversarial Network Pruning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Data and Resources Paper: A Multi-granularity Decade-Long Geo-Tagged Twitter Dataset for Spatial Computing.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Probabilistic Error Reasoning on IoT Edge Devices.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

Towards Transferable Targeted Adversarial Examples.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

The Impact of ChatGPT on Streaming Media: A Crowdsourced and Data-Driven Analysis using Twitter and Reddit.
Proceedings of the 9th Intl Conference on Big Data Security on Cloud, 2023

2022
Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems.
IEEE Trans. Mob. Comput., 2022

Work from home during the COVID-19 pandemic: An observational study based on a large geo-tagged COVID-19 Twitter dataset (UsaGeoCov19).
Inf. Process. Manag., 2022

Unifying telescope and microscope: A multi-lens framework with open data for modeling emerging events.
Inf. Process. Manag., 2022

SocialCattle: IoT-Based Mastitis Detection and Control Through Social Cattle Behavior Sensing in Smart Farms.
IEEE Internet Things J., 2022

Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems.
CoRR, 2022

ExpScore: Learning Metrics for Recommendation Explanation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.
Proc. VLDB Endow., 2021

cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR, 2021

Seed Stocking Via Multi-Task Learning.
CoRR, 2021

Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data.
Proceedings of the ICC 2021, 2021

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021

2020
New Emoji Requests from Twitter Users: When, Where, Why, and What We Can Do About Them.
ACM Trans. Soc. Comput., 2020

DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multisource Sensing Images.
IEEE Trans. Ind. Informatics, 2020

SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT.
IEEE Internet Things J., 2020

SenCAPTCHA: A Mobile-First CAPTCHA Using Orientation Sensors.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Is Working From Home The New Norm? An Observational Study Based on a Large Geo-tagged COVID-19 Twitter Dataset.
CoRR, 2020

University of Washington at TREC 2020 Fairness Ranking Track.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019
AirMouse: Turning a Pair of Glasses Into a Mouse in the Air.
IEEE Internet Things J., 2019

The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets.
Proceedings of the World Wide Web Conference, 2019

Chasing Total Solar Eclipses on Twitter: Big Social Data Analytics for Once-in-a-Lifetime Events.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Two-Level Index for Truss Community Query in Large-Scale Graphs.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks.
IEEE Trans. Veh. Technol., 2018

A multi-granularity perspective for spatial profiling of mobile apps.
Inf. Sci., 2018

Dection and Health Analysis of Individual Tree in Urban Environment with Multi-Sensor Platform.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Secure Sharing of Private Locations through Homomorphic Bloom Filters.
Proceedings of the 4th IEEE International Conference on Big Data Security on Cloud, 2018

2017
Inferring Correlation between User Mobility and App Usage in Massive Coarse-grained Data Traces.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments.
Ad Hoc Networks, 2017

Decentralized Search for Shortest Path Approximation in Large-Scale Complex Networks.
Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2017


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