Yunhe Feng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 57

Top Topics

Scientific Papers

Lossy Compression

Top Venues

IEEE Internet Things J.

Inf. Process. Manag.

BigDataSecurity/HPSC/IDS

Publications

Kareem Shaik, Dali Wang, Weijian Zheng, Qinglei Cao, Heng Fan, Peter Schwartz, Yunhe Feng
S3LLM: Large-Scale Scientific Software Understanding with LLMs Using Source, Metadata, and Document. ICCS (3) (2024)
Pegah Ahadian, Yunhe Feng, Karl W. Kosko, Richard E. Ferdig, Qiang Guan
MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis. ACM Southeast Regional Conference (2024)
Shaohua Dong, Yunhe Feng, Qing Yang, Yuewei Lin, Heng Fan
LoReTrack: Efficient and Accurate Low-Resolution Transformer Tracking. CoRR (2024)
Huiyu Xu, Wenhui Zhang, Zhibo Wang, Feng Xiao, Rui Zheng, Yunhe Feng, Zhongjie Ba, Kui Ren
RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent. CoRR (2024)
Guodong Cao, Zhibo Wang, Yunhe Feng, Xiaowei Dong, Zhifei Zhang, Zhan Qin, Kui Ren
Task-Free Fairness-Aware Bias Mitigation for Black-Box Deployed Models. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Colton Clemmer, Junhua Ding, Yunhe Feng
PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases. WACV (2024)
Xiaoqiong Liu, Yunhe Feng, Shu Hu, Xiaohui Yuan, Heng Fan
Benchmarking the Robustness of UAV Tracking Against Common Corruptions. CoRR (2024)
Zhongyi Wang, Haoxuan Zhang, Haihua Chen, Yunhe Feng, Junhua Ding
Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network. J. King Saud Univ. Comput. Inf. Sci. 36 (6) (2024)
Guodong Cao, Zhibo Wang, Yunhe Feng, Xiaowei Dong
DAAP: Privacy-Preserving Model Accuracy Estimation on Unlabeled Datasets Through Distribution-Aware Adversarial Perturbation. USENIX Security Symposium (2024)
Abdul Arbaz, Heng Fan, Junhua Ding, Meikang Qiu, Yunhe Feng
GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. KSEM (1) (2024)
Kareem Shaik, Dali Wang, Weijian Zheng, Qinglei Cao, Heng Fan, Peter Schwartz, Yunhe Feng
S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document. CoRR (2024)
Yunhe Feng, Zexuan Meng, Colton Clemmer, Heng Fan, Yan Huang
Data and Resources Paper: A Multi-granularity Decade-Long Geo-Tagged Twitter Dataset for Spatial Computing. SIGSPATIAL/GIS (2023)
Zhibo Wang, Hongshan Yang, Yunhe Feng, Peng Sun, Hengchang Guo, Zhifei Zhang, Kui Rent
Towards Transferable Targeted Adversarial Examples. CVPR (2023)
Swagatika Dash, Yunhe Feng
Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing. CoRR (2023)
Preetam Prabhu Srikar Dammu, Yunhe Feng, Chirag Shah
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models. CoRR (2023)
Lei Zhang, Zhibo Wang, Xiaowei Dong, Yunhe Feng, Xiaoyi Pang, Zhifei Zhang, Kui Ren
Towards Fairness-aware Adversarial Network Pruning. ICCV (2023)
Preetam Prabhu Srikar Dammu, Yunhe Feng, Chirag Shah
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models. IJCAI (2023)
Yunhe Feng, Pradhyumna Poralla, Swagatika Dash, Kaicheng Li, Vrushabh Desai, Meikang Qiu
The Impact of ChatGPT on Streaming Media: A Crowdsourced and Data-Driven Analysis using Twitter and Reddit. BigDataSecurity/HPSC/IDS (2023)
Qing Charles Cao, Yunhe Feng
Probabilistic Error Reasoning on IoT Edge Devices. EDGE (2023)
Yunhe Feng, Sreecharan Vanam, Manasa Cherukupally, Weijian Zheng, Meikang Qiu, Haihua Chen
Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data. COMPSAC (2023)
Shaohua Dong, Yunhe Feng, Qing Yang, Yan Huang, Dongfang Liu, Heng Fan
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning. CoRR (2023)
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. CoRR (2023)
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. HPDC (2023)
Yunhe Feng, Haoran Niu, Fanqi Wang, Susan J. Ivey, Jie (Jayne) Wu, Hairong Qi, Raul A. Almeida, Shigetoshi Eda, Qing Cao
SocialCattle: IoT-Based Mastitis Detection and Control Through Social Cattle Behavior Sensing in Smart Farms. IEEE Internet Things J. 9 (12) (2022)
Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems. CoRR (2022)
Yunhe Feng, Chirag Shah
Unifying telescope and microscope: A multi-lens framework with open data for modeling emerging events. Inf. Process. Manag. 59 (2) (2022)
Yunhe Feng, Wenjun Zhou
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. 59 (2) (2022)
Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah
ExpScore: Learning Metrics for Recommendation Explanation. WWW (2022)
Yunhe Feng, Chirag Shah
Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search. AAAI (2022)
Peng Sun, Zhibo Wang, Liantao Wu, Yunhe Feng, Xiaoyi Pang, Hairong Qi, Zhi Wang
Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems. IEEE Trans. Mob. Comput. 21 (1) (2022)
Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah
Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features. BIAS (2021)
Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Song, Dingwen Tao
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. Proc. VLDB Endow. 15 (4) (2021)
Yunhe Feng, Wenjun Zhou
Seed Stocking Via Multi-Task Learning. CoRR (2021)
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR (2021)
Yunhe Feng, Dong Zhong, Peng Sun, Weijian Zheng, Qinglei Cao, Xi Luo, Zheng Lu
Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data. ICC (2021)
Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. CoRR (2021)
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CLUSTER (2021)
Yunhe Feng, Daniel Saelid, Ke Li, Chirag Shah, Ruoyuan Gao
University of Washington at TREC 2020 Fairness Ranking Track. TREC (2020)
Yunhe Feng, Zheng Lu, Wenjun Zhou, Zhibo Wang, Qing Cao
New Emoji Requests from Twitter Users: When, Where, Why, and What We Can Do About Them. ACM Trans. Soc. Comput. 3 (2) (2020)
Peng Sun, Liantao Wu, Zhibo Wang, Yunhe Feng, Zhi Wang
SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT. IEEE Internet Things J. 7 (3) (2020)
Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah
University of Washington at TREC 2020 Fairness Ranking Track. CoRR (2020)
Yunhe Feng, Zongyao Chen, Dali Wang, Jian Chen, Zhili Feng
DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multisource Sensing Images. IEEE Trans. Ind. Informatics 16 (1) (2020)
Yunhe Feng, Dong Zhong, Peng Sun, Weijian Zheng, Qinglei Cao, Xi Luo, Zheng Lu
Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data. CoRR (2020)
Peng Sun, Zhibo Wang, Yunhe Feng, Liantao Wu, Yanjun Li, Hairong Qi, Zhi Wang
Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering. INFOCOM (2020)
Yunhe Feng, Wenjun Zhou
Is Working From Home The New Norm? An Observational Study Based on a Large Geo-tagged COVID-19 Twitter Dataset. CoRR (2020)
Yunhe Feng, Qing Cao, Hairong Qi, Scott Ruoti
SenCAPTCHA: A Mobile-First CAPTCHA Using Orientation Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (2) (2020)
Yunhe Feng, Zheng Lu, Zhonghua Zheng, Peng Sun, Wenjun Zhou, Ran Huang, Qing Cao
Chasing Total Solar Eclipses on Twitter: Big Social Data Analytics for Once-in-a-Lifetime Events. GLOBECOM (2019)
Zhibo Wang, Yijie Li, Bonan Jin, Qian Wang, Yunhe Feng, Yanjun Li, Huajie Shao
AirMouse: Turning a Pair of Glasses Into a Mouse in the Air. IEEE Internet Things J. 6 (5) (2019)
Yunhe Feng, Wenjun Zhou, Zheng Lu, Zhibo Wang, Qing Cao
The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets. WWW (2019)
Zheng Lu, Yunhe Feng, Qing Cao
Two-Level Index for Truss Community Query in Large-Scale Graphs. GLOBECOM (2019)
Yunhe Feng, Chenglu Wen, Pengdi Huang, Cheng Wang, Jonathan Li
Dection and Health Analysis of Individual Tree in Urban Environment with Multi-Sensor Platform. IGARSS (2018)
Lipeng Wan, Zhibo Wang, Zheng Lu, Yunhe Feng, Hairong Qi, Wenjun Zhou, Qing Cao
Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks. IEEE Trans. Veh. Technol. 67 (2) (2018)
Yunhe Feng, Zheng Lu, Qing Cao
Secure Sharing of Private Locations through Homomorphic Bloom Filters. BigDataSecurity/HPSC/IDS (2018)
Yunhe Feng, Zheng Lu, Wenjun Zhou, Qing Cao, Xiaolin Li
A multi-granularity perspective for spatial profiling of mobile apps. Inf. Sci. 430 (2018)
Zheng Lu, Yunhe Feng, Qing Cao
Decentralized Search for Shortest Path Approximation in Large-Scale Complex Networks. CloudCom (2017)
Qing Cao, Yunhe Feng, Zheng Lu, Hairong Qi, Leon M. Tolbert, Lipeng Wan, Zhibo Wang, Wenjun Zhou
Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments. Ad Hoc Networks 66 (2017)
Zheng Lu, Yunhe Feng, Wenjun Zhou, Xiaolin Li, Qing Cao
Inferring Correlation between User Mobility and App Usage in Massive Coarse-grained Data Traces. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (4) (2017)