Selected Publications

For a complete list of publications see Google Scholar.

D. Gao, A. Gomez, M. Li, M. El-mokahal, H. Yang, and Y. Feng.
OrgaCast: A Trustworthy Spatiotemporal Diffusion Model for Fluorescence Organoid Forecasting
2026 Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.
[Paper][Code]
M. Li, H. Fan, S. Fu, J. Ding, and Y. Feng.
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting
Findings of 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
[Paper][Code]
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]
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]
H. Zhang, H. Fan, K. Sha, Y. Huang, and Y. Feng.
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration
Findings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
[Paper][Code]
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]
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]
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]
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]
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]
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]
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.
[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]
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 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]
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-J), 2021. (Impact factor: 9.936)
[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, Best Presentation, Audience Award Nomination and Judges Award Nomination @UbiComp2020), 2020.
[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: 9.9)
[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]
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]
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]