Yunhe Feng

According to our database, Yunhe Feng authored at least 55 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Task-Free Fairness-Aware Bias Mitigation for Black-Box Deployed Models.

Guodong Cao, Zhibo Wang, Yunhe Feng, Xiaowei Dong, Zhifei Zhang, Zhan Qin, Kui Ren

IEEE Trans. Dependable Secur. Comput., 2024

Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network.

Zhongyi Wang, Haoxuan Zhang, Haihua Chen, Yunhe Feng, Junhua Ding

J. King Saud Univ. Comput. Inf. Sci., 2024

HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making.

Sumera Anjum, Hanzhi Zhang, Wenjun Zhou, Eun Jin Paek, Xiaopeng Zhao, Yunhe Feng

CoRR, 2024

RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent.

Huiyu Xu, Wenhui Zhang, Zhibo Wang, Feng Xiao, Rui Zheng, Yunhe Feng, Zhongjie Ba, Kui Ren

CoRR, 2024

LoReTrack: Efficient and Accurate Low-Resolution Transformer Tracking.

Shaohua Dong, Yunhe Feng, Qing Yang, Yuewei Lin, Heng Fan

CoRR, 2024

PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases.

Colton Clemmer, Junhua Ding, Yunhe Feng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Does ChatGPT Generate Accessible Code? Investigating Accessibility Challenges in LLM-Generated Source Code.

Wajdi Aljedaani, Abdulrahman Habib, Ahmed Aljohani, Marcelo Eler, Yunhe Feng

Proceedings of the 21st International Web for All Conference, 2024

DAAP: Privacy-Preserving Model Accuracy Estimation on Unlabeled Datasets Through Distribution-Aware Adversarial Perturbation.

Guodong Cao, Zhibo Wang, Yunhe Feng, Xiaowei Dong

Proceedings of the 33rd USENIX Security Symposium, 2024

LitAI: Enhancing Multimodal Literature Understanding and Mining with Generative AI.

Gowtham Medisetti, Zacchaeus Compson, Heng Fan, Huaxiao Yang, Yunhe Feng

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

Benchmarking the Robustness of UAV Tracking Against Common Corruptions.

Xiaoqiong Liu, Yunhe Feng, Shu Hu, Xiaohui Yuan, Heng Fan

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

GenFlowchart: Parsing and Understanding Flowchart Using Generative AI.

Abdul Arbaz, Heng Fan, Junhua Ding, Meikang Qiu, Yunhe Feng

Proceedings of the Knowledge Science, Engineering and Management, 2024

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

Kareem Shaik, Dali Wang, Weijian Zheng, Qinglei Cao, Heng Fan, Peter Schwartz, Yunhe Feng

Proceedings of the Computational Science - ICCS 2024, 2024

CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2.

Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis.

Pegah Ahadian, Yunhe Feng, Karl W. Kosko, Richard E. Ferdig, Qiang Guan

Proceedings of the 2024 ACM Southeast Conference, 2024

2023

Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning.

Shaohua Dong, Yunhe Feng, Qing Yang, Yan Huang, Dongfang Liu, Heng Fan

CoRR, 2023

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

Swagatika Dash, Yunhe Feng

CoRR, 2023

Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models.

Preetam Prabhu Srikar Dammu, Yunhe Feng, Chirag Shah

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards Fairness-aware Adversarial Network Pruning.

Lei Zhang, Zhibo Wang, Xiaowei Dong, Yunhe Feng, Xiaoyi Pang, Zhifei Zhang, Kui Ren

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.

Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello

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.

Yunhe Feng, Zexuan Meng, Colton Clemmer, Heng Fan, Yan Huang

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Probabilistic Error Reasoning on IoT Edge Devices.

Qing Charles Cao, Yunhe Feng

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

Towards Transferable Targeted Adversarial Examples.

Zhibo Wang, Hongshan Yang, Yunhe Feng, Peng Sun, Hengchang Guo, Zhifei Zhang, Kui Ren

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data.

Yunhe Feng, Sreecharan Vanam, Manasa Cherukupally, Weijian Zheng, Meikang Qiu, Haihua Chen

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.

Yunhe Feng, Pradhyumna Poralla, Swagatika Dash, Kaicheng Li, Vrushabh Desai, Meikang Qiu

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.

Peng Sun, Zhibo Wang, Liantao Wu, Yunhe Feng, Xiaoyi Pang, Hairong Qi, Zhi Wang

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).

Yunhe Feng, Wenjun Zhou

Inf. Process. Manag., 2022

Unifying telescope and microscope: A multi-lens framework with open data for modeling emerging events.

Yunhe Feng, Chirag Shah

Inf. Process. Manag., 2022

SocialCattle: IoT-Based Mastitis Detection and Control Through Social Cattle Behavior Sensing in Smart Farms.

Yunhe Feng, Haoran Niu, Fanqi Wang, Susan J. Ivey, Jie (Jayne) Wu, Hairong Qi, Raul A. Almeida, Shigetoshi Eda, Qing Cao

IEEE Internet Things J., 2022

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

Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah

CoRR, 2022

ExpScore: Learning Metrics for Recommendation Explanation.

Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah

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.

Yunhe Feng, Chirag Shah

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.

Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Song, Dingwen Tao

Proc. VLDB Endow., 2021

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

Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello

CoRR, 2021

Seed Stocking Via Multi-Task Learning.

Yunhe Feng, Wenjun Zhou

CoRR, 2021

Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data.

Yunhe Feng, Dong Zhong, Peng Sun, Weijian Zheng, Qinglei Cao, Xi Luo, Zheng Lu

Proceedings of the ICC 2021, 2021

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.

Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features.

Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah

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.

Yunhe Feng, Zheng Lu, Wenjun Zhou, Zhibo Wang, Qing Cao

ACM Trans. Soc. Comput., 2020

DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multisource Sensing Images.

Yunhe Feng, Zongyao Chen, Dali Wang, Jian Chen, Zhili Feng

IEEE Trans. Ind. Informatics, 2020

SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT.

Peng Sun, Liantao Wu, Zhibo Wang, Yunhe Feng, Zhi Wang

IEEE Internet Things J., 2020

SenCAPTCHA: A Mobile-First CAPTCHA Using Orientation Sensors.

Yunhe Feng, Qing Cao, Hairong Qi, Scott Ruoti

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.

Yunhe Feng, Wenjun Zhou

CoRR, 2020

University of Washington at TREC 2020 Fairness Ranking Track.

Yunhe Feng, Daniel Saelid, Ke Li, Chirag Shah, Ruoyuan Gao

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering.

Peng Sun, Zhibo Wang, Yunhe Feng, Liantao Wu, Yanjun Li, Hairong Qi, Zhi Wang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

AirMouse: Turning a Pair of Glasses Into a Mouse in the Air.

Zhibo Wang, Yijie Li, Bonan Jin, Qian Wang, Yunhe Feng, Yanjun Li, Huajie Shao

IEEE Internet Things J., 2019

The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets.

Yunhe Feng, Wenjun Zhou, Zheng Lu, Zhibo Wang, Qing Cao

Proceedings of the World Wide Web Conference, 2019

Chasing Total Solar Eclipses on Twitter: Big Social Data Analytics for Once-in-a-Lifetime Events.

Yunhe Feng, Zheng Lu, Zhonghua Zheng, Peng Sun, Wenjun Zhou, Ran Huang, Qing Cao

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Two-Level Index for Truss Community Query in Large-Scale Graphs.

Zheng Lu, Yunhe Feng, Qing Cao

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks.

Lipeng Wan, Zhibo Wang, Zheng Lu, Yunhe Feng, Hairong Qi, Wenjun Zhou, Qing Cao

IEEE Trans. Veh. Technol., 2018

A multi-granularity perspective for spatial profiling of mobile apps.

Yunhe Feng, Zheng Lu, Wenjun Zhou, Qing Cao, Xiaolin Li

Inf. Sci., 2018

Dection and Health Analysis of Individual Tree in Urban Environment with Multi-Sensor Platform.

Yunhe Feng, Chenglu Wen, Pengdi Huang, Cheng Wang, Jonathan Li

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Secure Sharing of Private Locations through Homomorphic Bloom Filters.

Yunhe Feng, Zheng Lu, Qing Cao

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.

Zheng Lu, Yunhe Feng, Wenjun Zhou, Xiaolin Li, Qing Cao

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments.

Qing Cao, Yunhe Feng, Zheng Lu, Hairong Qi, Leon M. Tolbert, Lipeng Wan, Zhibo Wang, Wenjun Zhou

Ad Hoc Networks, 2017

Decentralized Search for Shortest Path Approximation in Large-Scale Complex Networks.

Zheng Lu, Yunhe Feng, Qing Cao

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2017