Yifeng Gao

According to our database, Yifeng Gao authored at least 41 papers between 2011 and 2025.

Collaborative distances:

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

2025

Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs.

Xiangqi Jin, Yuxuan Wang, Yifeng Gao, Zichen Wen, Biqing Qi, Dongrui Liu, Linfeng Zhang

CoRR, August, 2025

T2UE: Generating Unlearnable Examples from Text Descriptions.

Xingjun Ma, Hanxun Huang, Tianwei Song, Ye Sun, Yifeng Gao, Yu-Gang Jiang

CoRR, August, 2025

BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos.

Jiahao Lin, Weixuan Peng, Bojia Zi, Yifeng Gao, Xianbiao Qi, Xingjun Ma, Yu-Gang Jiang

CoRR, June, 2025

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning.

Yifeng Gao, Yifan Ding, Hongyu Su, Juncheng Li, Yunhan Zhao, Lin Luo, Zixing Chen, Li Wang, Xin Wang, Yixu Wang, Xingjun Ma, Yu-Gang Jiang

CoRR, June, 2025

TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval.

Jialin Chen, Ziyu Zhao, Gaukhar Nurbek, Aosong Feng, Ali Maatouk, Leandros Tassiulas, Yifeng Gao, Rex Ying

CoRR, June, 2025

ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy.

Gengyang Li, Yifeng Gao, Yuming Li, Yunfang Wu

CoRR, May, 2025

SafeVid: Toward Safety Aligned Video Large Multimodal Models.

Yixu Wang, Jiaxin Song, Yifeng Gao, Xin Wang, Yang Yao, Yan Teng, Xingjun Ma, Yingchun Wang, Yu-Gang Jiang

CoRR, May, 2025

MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question Answering.

Jialin Chen, Aosong Feng, Ziyu Zhao, Juan Garza, Gaukhar Nurbek, Cheng Qin, Ali Maatouk, Leandros Tassiulas, Yifeng Gao, Rex Ying

CoRR, March, 2025

Identity Lock: Locking API Fine-tuned LLMs With Identity-based Wake Words.

Hongyu Su, Yifeng Gao, Yifan Ding, Xingjun Ma

CoRR, March, 2025

Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More.

Zichen Wen, Yifeng Gao, Shaobo Wang, Junyuan Zhang, Qintong Zhang, Weijia Li, Conghui He, Linfeng Zhang

CoRR, February, 2025

Safety at Scale: A Comprehensive Survey of Large Model Safety.

Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang

CoRR, February, 2025

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models.

Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Zichen Wen, Yifeng Gao, Weijia Li, Conghui He, Linfeng Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model.

Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao

CoRR, 2024

The Dog Walking Theory: Rethinking Convergence in Federated Learning.

Kun Zhai, Yifeng Gao, Xingjun Ma, Difan Zou, Guangnan Ye, Yu-Gang Jiang

CoRR, 2024

Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition.

Aosong Feng, Jialin Chen, Juan Garza, Brooklyn Berry, Francisco Salazar, Yifeng Gao, Rex Ying, Leandros Tassiulas

CoRR, 2024

ModelLock: Locking Your Model With a Spell.

Yifeng Gao, Yuhua Sun, Xingjun Ma, Zuxuan Wu, Yu-Gang Jiang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection.

Kevin Garcia, Juan M. Perez, Yifeng Gao

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Survival prediction of heart failure patients using motion-based analysis method.

Saidi Guo, Heye Zhang, Yifeng Gao, Hui Wang, Lei Xu, Zhifan Gao, Antonella Guzzo, Giancarlo Fortino

Comput. Methods Programs Biomed., June, 2023

PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series.

Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Federated Learning With Erroneous Communication Links.

Mahyar Shirvanimoghaddam, Ayoob Salari, Yifeng Gao, Aradhika Guha

IEEE Commun. Lett., 2022

Robust Time Series Chain Discovery with Incremental Nearest Neighbors.

Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach.

Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Jessica Lin, Paulo Cesar G. da Costa, Setareh Rafatirad, Houman Homayoun

Cryptogr., 2021

MMAP: a cloud computing platform for mining the maximum accuracy of predicting phenotypes from genotypes.

Wei Huang, Ping Zheng, Zhenhai Cui, Zhuo Li, Yifeng Gao, Helong Yu, You Tang, Xiaohui Yuan, Zhiwu Zhang

Bioinform., 2021

Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity.

Honglu Jiang, Yifeng Gao, S. M. Sarwar, Luis GarzaPerez, Mahmudul Robin

Proceedings of the Silicon Valley Cybersecurity Conference - Second Conference, 2021

Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events.

Yifeng Gao, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Amin Rezaei, Jessica Lin, Houman Homayoun, Hossein Sayadi

Proceedings of the 27th IEEE International Symposium on On-Line Testing and Robust System Design, 2021

2020

Semantic Discord: Finding Unusual Local Patterns for Time Series.

Li Zhang, Yifeng Gao, Jessica Lin

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features.

Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Ensemble Grammar Induction For Detecting Anomalies in Time Series.

Yifeng Gao, Jessica Lin, Constantin Brif

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network.

Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Efficient Terrain Matching With 3-D Zernike Moments.

Kedong Wang, Tongqian Zhu, Yifeng Gao, Jinling Wang

IEEE Trans. Aerosp. Electron. Syst., 2019

HIME: discovering variable-length motifs in large-scale time series.

Yifeng Gao, Jessica Lin

Knowl. Inf. Syst., 2019

Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series.

Yifeng Gao, Jessica Lin

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Exploring variable-length time series motifs in one hundred million length scale.

Yifeng Gao, Jessica Lin

Data Min. Knowl. Discov., 2018

Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series.

Yifeng Gao, Jessica Lin

CoRR, 2018

2017

TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory.

Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs.

Yifeng Gao, Jessica Lin, Huzefa Rangwala

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Efficient discovery of time series motifs with large length range in million scale time series.

Yifeng Gao, Jessica Lin

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2015

A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms.

Xing Wang, Yifeng Gao, Jessica Lin, Huzefa Rangwala, Ranjeev Mittu

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2012

Principal coordinate strategy: a novel adaptive control strategy for differential evolution.

Yifeng Gao, Dan Lv

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

A Novel and Robust Evolution Algorithm for Optimizing Complicated Functions

Yifeng Gao, Shuhong Gong, Ge Zhao

CoRR, 2011