Selected Publications
For a complete list of publications see Google Scholar.
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B. Fan, Y. Feng, Y. Tian, Y. Lin, Y. Huang, and H. Fan.
PRVQL: Progressive Knowledge-guided Refinement for Robust Egocentric Visual Query Localization International Conference on Computer Vision (ICCV), 2025. [Paper][Code] |
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S. Dong, Y. Feng, J. Liang, Q. Yang, Y. Liu, and H. Fan. Efficient and Accurate Low-Resolution Transformer Tracking IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025. [Paper][Code] |
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AK. Kandula, T. Phamornratanakun, AH. Gomez, M. El‐Mokahal, Z. Ma, Y. Feng, H. Yang. Generative AI for Cardiovascular Cell Type-Specific Fluorescence Colorization of Live-Cell hPSC-Derived Cardiac Organoids Advanced Intelligent Discovery, 2025. [Paper][Code] |
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H. Zhang, H. Fan, K. Sha, Y. Huang, and Y. Feng. DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2025. [Paper][Code] |
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S. Anjum, H. Zhang, W. Zhou, EJ. Paek, X. Zhao, and Y. Feng HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making ACM/IEEE Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) , 2025. [Paper][Code] |
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G. Cao, Z. Wang, Y. Feng, and X. Dong. DAAP: Privacy-Preserving Model Accuracy Estimation on Unlabeled Datasets Through Distribution-Aware Adversarial Perturbation The 33rd USENIX Security Symposium (USENIX Security), 2024. [Paper] |
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S. Dong, Y. Feng, Q. Yang, Y. Huang, D. Liu, and H. Fan. Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.(Oral Presentation) [Paper][Code] |
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S. Song, Y. Huang, P. Jiang, X. Yu, W. Zheng, S. Di, Q. Cao, Y. Feng, Z. Xie, and F. Cappello. CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2 The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2024. [Paper] |
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K. Shaik, D. Wang, W. Zheng, Q. Cao, H. Fan, P. Schwartz, and Y. Feng. S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document 24th International Conference on Computational Science (ICCS), 2024. [Paper][Code] |
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C. Clemmer, J. Ding, and 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][Code] |
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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] |
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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. [Paper][Website][Geo-Aware-LLM][JSON APIs][Tweet Rehydration] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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B. Wen, Y. Feng, Y. Zhang, and C. Shah ExpScore: Learning Metrics for Recommendation Explanation The ACM Web Conference (WWW), 2022. [Paper] |
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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: 6.9) [Paper] |
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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: 6.9) [Paper][Dataset] |
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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] |
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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-J), 2021. (Impact factor: 9.936) [Paper] |
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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] |
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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] |
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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] |
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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, Best Presentation, Audience Award Nomination and Judges Award Nomination @UbiComp2020), 2020. [Paper][Code] |
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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] |
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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] |
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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: 9.9) [Paper] |
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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] |
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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] |
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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-J), 2019. (Impact factor: 9.515) [Paper] |
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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] |
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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-J), 2019. (Impact factor: 9.515) [Paper] |
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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] |
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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] |
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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] |