Publications

For a complete list of publications see Google Scholar.

C. Clemmer, J. Ding, Y. Feng.
PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
[Paper]
G. Cao, Z. Wang, Y. Feng, X. Dong, Z. Zhang, Z. Qin, and K. Ren.
Task-Free Fairness-Aware Bias Mitigation for Black-Box Deployed Models
IEEE Transactions on Dependable and Secure Computing (TDSC), 2023.
[Paper]
Y. Feng, Z. Meng, C. Clemmer, H. Fan, and Y. Huang.
A Multi-granularity Decade-Long Geo-Tagged Twitter Dataset for Spatial Computing
31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2023. (Accept)
[Paper][Website][Geo-Aware-LLM][JSON APIs][Tweet Rehydration]
L. Zhang, Z. Wang, X. Dong, Y. Feng, X. Pang, Z. Zhang, and K. Ren.
Towards Fairness-aware Adversarial Network Pruning
2023 International Conference on Computer Vision (ICCV), 2023. (Acceptance rate: 26.2%)
[Paper]
P. Dammu, Y. Feng and C. Shah
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models
2023 International Joint Conference on Artificial Intelligence (IJCAI), 2023. (Acceptance rate: 20%)
[Paper]
Q. Cao and Y. Feng
Probabilistic Error Reasoning on IoT Edge Devices
2023 IEEE International Conference on Edge Computing and Communications (EDGE), 2023. (Acceptance rate: 17%)
[Paper]
Y. Feng, S. Vanam, M. Cherukupally, W. Zheng, M. Qiu and H. Chen
Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data
47th IEEE Computer Software and Applications Conference (COMPSAC), 2023. (Best Track Paper Award, acceptance rate: 27%)
[Paper][Prompt Dataset]
Z. Wang, H. Yang, Y. Feng, P. Sun, H. Guo, Z. Zhang, and K. Ren.
Towards Transferable Targeted Adversarial Examples
In Conference on Computer Vision and Pattern (CVPR), 2023. (Acceptance rate: 25.78%)
[Paper]
B. Zhang, J. Tian, S. Di, X. Yu, Y. Feng, X. Liang, D. Tao, F. Cappello
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs
The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2023. (Acceptance rate: 22.8%)
[Paper]
Y. Feng, P. Poralla, S. Dash, K. Li, V. Desai, and M. Qiu.
The Impact of ChatGPT on Streaming Media: A Crowdsourced and Data-Driven Analysis using Twitter and Reddit
International Conference on Intelligent Data and Security (IDS), 2023. (Acceptance rate: 25%)
[Paper][Prompt Dataset]
Y. Feng and C. Shah
Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search
Proceedings of the AAAI conference on artificial intelligence (AAAI), 2022. (Acceptance rate: 15%, Oral Presentation)
[Paper]
B. Wen, Y. Feng, Y. Zhang, and C. Shah
ExpScore: Learning Metrics for Recommendation Explanation
The ACM Web Conference (WWW), 2022.
[Paper]
Y. Feng and C. Shah
Unifying Telescope and Microscope: A Multi-lens Framework with Open Data for Modeling Emerging Events
Information Processing and Management (IP&M), 2021. (Impact factor: 6.222)
[Paper]
Y. Feng, C. Guo, B. Wen, P. Sun, Y. Yue, and D. Tao
EmojiCloud: a Tool for Emoji Cloud Visualization
The 5th International Workshop on Emoji Understanding and Applications in Social Media at 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (EMOJI@NAACL), 2022.
[Paper][Code][Slides]
B. Wen, Y. Feng, Y. Zhang, and C. Shah
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems
arXiv preprint arXiv:2208.08017, 2022. (Preprint)
[Paper]
Y. Feng, D. Saelid, K. Li, R. Gao, and C. Shah
Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features
International Workshop on Algorithmic Bias in Search and Recommendation at the 43rd European Conference on Information Retrieval (BIAS@ECIR2021), 2021.
[Paper][Slides]
Y. Feng and W. Zhou
Work from Home During the COVID-19 Pandemic: An Observational Study Based on A Large Geo-Tagged COVID-19 Twitter Dataset (UsaGeoCov19)
Information Processing and Management (IP&M), 2021. (Impact factor: 6.222)
[Paper][Dataset]
S. Jin, C. Zhang, X. Jiang, Y. Feng, H. Guan, Guanpeng. Li, S. Song, and D. Tao
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression
Proceedings of the International Conference on Very Large Data Bases (VLDB), 2022.
[Paper]
Y. Feng, H. Niu, F. Wang, S. Ivey, J. Wu, H. Qi, R. Almeida, S. Eda, and Q. Cao
SocialCattle: IoT-based Mastitis Detection and Control through Social Cattle Behavior Sensing in Smart Farms
IEEE Internet of Things Journal (IoT Journal), 2021. (Impact factor: 9.936)
[Paper]
J. Tian, S. Di, X. Yu, C. Rivera, K. Zhao, S. Jin, Y. Feng, X. Liang, D. Tao, and F. Cappello
cuSZ (x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs
IEEE International Conference on Cluster Computing (CLUSTER), 2021.
[Paper]
Y. Feng, D. Zhong, P. Sun, W. Zheng, Q. Cao, X. Luo, and Z. Lu
Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data
2021 IEEE International Conference on Communications (ICC), 2021.
[Paper][Slides]
Y. Feng, D. Saelid, K. Li, R. Gao, and C. Shah
University of Washington at Text REtrieval Conference (TREC) 2020 Fairness Ranking Track
arXiv preprint arXiv:2011.02066, 2020. (Preprint)
[Paper]
Y. Feng, and W. Zhou
Is Working From Home The New Norm? An Observational Study Based on a Large Geo-tagged COVID-19 Twitter Dataset
arXiv preprint arXiv:2006.08581, 2020. (Preprint)
[Paper]
P. Sun, Z. Wang, L. Wu, Y. Feng, X. Pang, H. qi, and Z. Wang
Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems
Transactions on Mobile Computing (TMC), 2020.
[Paper]
Y. Feng, Q. Cao, H. Qi, and S. Ruoti
SenCAPTCHA: A Mobile-First CAPTCHA Using Orientation Sensors
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2020. (Best Presentation, Audience Award Nomination and Judges Award Nomination @UbiComp2020)
[Paper][Code]
P. Sun, Z. Wang, Y. Feng, L. Wu, Y. Li, H. Qi, and Z. Wang
Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering
International Conference on Computer Communications (INFOCOM), 2020.
[Paper]
Y. Feng, Z. Lu, W. Zhou, Z. Wang, and Q. Cao
New Emoji Requests from Twitter Users: When, Where, Why, and What We Can Do About Them
ACM Transactions on Social Computing (TSC) 3(2), 2020.
[Website] [Paper]
Y. Feng, Z. Chen, D. Wang, J. Chen, and Z. Feng
DeepWelding: A Deep Learning Enhanced Approach to GTAW Using Multi-source Sensing Images
IEEE Transactions on Industrial Informatics (TII), 2019. (Impact factor: 7.377)
[Paper]
Y. Feng, Z. Lu, Z. Zheng, P. Sun, W. Zhou, R. Huang, and Q. Cao
Chasing Total Solar Eclipses on Twitter: Big Social Data Analytics in Once-in-a-lifetime Events
2019 IEEE Global Communications Conference (GLOBECOM), 2019.
[Paper]
Z. Lu, Y. Feng, and Q. Cao
Two-level Index for Truss Community Query in Large-Scale Graph
2019 IEEE Global Communications Conference (GLOBECOM), 2019.
[Paper]
P. Sun, L. Wu, Z. Wang, Y. Feng, and Z. Wang
SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT
IEEE Internet of Things Journal (IoT Journal), 2019. (Impact factor: 9.515)
[Paper]
Y. Feng, W. Zhou, Z. Lu, Z. Wang, and Q. Cao
The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets
The Web Conference 2019 (formerly known as WWW), 2019.
(Acceptance rate: 20.0%)
[Paper]
Z. Wang, Y. Li, B. Jin, Q. Wang, Y. Feng, Y. Li, and H. Shao
AirMouse: Turning a Pair of Glasses into a Mouse in the Air
IEEE Internet of Things Journal (IoT Journal), 2019. (Impact factor: 9.515)
[Paper]
Y. Feng, Z. Lu, and Q. Cao
Secure Sharing of Private Locations through Homomorphic Bloom Filters
2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), 2018. (Best Paper Award, acceptance rate: 18.6%)
[Paper]
Y. Feng, Z. Lu, W. Zhou, Q. Cao and X. Li
A Multi-Granularity Perspective for Spatial Profiling of Mobile Apps
Information Sciences 430, (2018): 127-141. (Impact factor: 4.832)
[Paper]
Z. Lu, Y. Feng*, W. Zhou, X. Li, and Q. Cao
Inferring Correlation between User Mobility and App Usage in Massive Coarse-grained Data Traces
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT, the new publication model of UbiComp) 1.4, (2018): 153. (*Corresponding Author, 10-year average acceptance rate: 18.5%)
[Paper]
Z. Lu, Y. Feng, and Q. Cao
Decentralized Search for Shortest Path Approximation in Large-scale Complex Networks
IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2017. (Best Track Paper Award, acceptance rate: 29.4%)
[Paper]
Q. Cao, Y. Feng, Z. Lu, H. Qi, L. M. Tolbert, L. Wan, Z. Wang, and W. Zhou
Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments
Ad Hoc Networks, 66, (2017): 52-63. (Impact factor: 3.047)
[Paper]
L. Wan, Z. Wang, Z. Lu, Y. Feng, H. Qi, W. Zhou, and Q. Cao
Approximate and Sub-linear Spatial Queries for Large-scale Vehicle Networks
IEEE Transactions on Vehicular Technology (TVT), 2017. (Impact factor: 2.243)
[Paper]