A Novel and Robust Evolution Algorithm for Optimizing Complicated Functions - Yifeng Gao; Shuhong Gong; Ge Zhao (CoRR, 2011)

Principal coordinate strategy: a novel adaptive control strategy for differential evolution. - Yifeng Gao; Dan Lv (GECCO (Companion), 2012)

A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms. - Xing Wang 011; Yifeng Gao; Jessica Lin 001; Huzefa Rangwala; Ranjeev Mittu (ICMLA, 2015)

Efficient discovery of time series motifs with large length range in million scale time series. - Yifeng Gao; Jessica Lin 001 (ICDM, 2017)

IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. - Yifeng Gao; Jessica Lin 001; Huzefa Rangwala (ICDM, 2017)

TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory. - Yifeng Gao; Qingzhe Li; Xiaosheng Li; Jessica Lin 001; Huzefa Rangwala (ECML/PKDD (3), 2017)

Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series. - Yifeng Gao; Jessica Lin 001 (CoRR, 2018)

Exploring variable-length time series motifs in one hundred million length scale. - Yifeng Gao; Jessica Lin 001 (Data Min. Knowl. Discov., 2018)

Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. - Yifeng Gao; Jessica Lin 001 (ICDM, 2019)

HIME: discovering variable-length motifs in large-scale time series. - Yifeng Gao; Jessica Lin 001 (Knowl. Inf. Syst., 2019)

Efficient Terrain Matching With 3-D Zernike Moments. - Kedong Wang; Tongqian Zhu; Yifeng Gao; Jinling Wang 001 (IEEE Trans. Aerosp. Electron. Syst., 2019)

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. - Xuchao Zhang; Yifeng Gao; Jessica Lin 001; Chang-Tien Lu (AAAI, 2020)

Ensemble Grammar Induction For Detecting Anomalies in Time Series. - Yifeng Gao; Jessica Lin 001; Constantin Brif (EDBT, 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 001; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2020)

Semantic Discord: Finding Unusual Local Patterns for Time Series. - Li Zhang 074; Yifeng Gao; Jessica Lin 001 (SDM, 2020)

Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events. - Yifeng Gao; Hosein Mohammadi Makrani; Mehrdad Aliasgari; Amin Rezaei 001; Jessica Lin 001; Houman Homayoun; Hossein Sayadi (IOLTS, 2021)

Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity. - Honglu Jiang; Yifeng Gao; S. M. Sarwar; Luis GarzaPerez; Mahmudul Robin (SVCC, 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 001 (Bioinform., 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 001; Paulo Cesar G. da Costa; Setareh Rafatirad; Houman Homayoun (Cryptogr., 2021)

Robust Time Series Chain Discovery with Incremental Nearest Neighbors. - Li Zhang 074; Yan Zhu; Yifeng Gao; Jessica Lin 001 (ICDM, 2022)

Federated Learning With Erroneous Communication Links. - Mahyar Shirvanimoghaddam; Ayoob Salari; Yifeng Gao; Aradhika Guha (IEEE Commun. Lett., 2022)

PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. - Li Zhang 074; Jiahao Ding; Yifeng Gao; Jessica Lin 001 (SDM, 2023)

Survival prediction of heart failure patients using motion-based analysis method. - Saidi Guo; Heye Zhang; Yifeng Gao; Hui Wang 113; Lei Xu 037; Zhifan Gao; Antonella Guzzo; Giancarlo Fortino (Comput. Methods Programs Biomed., 2023)

Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection. - Kevin Garcia; Juan M. Perez; Yifeng Gao (IEEE Big Data, 2024)

ModelLock: Locking Your Model With a Spell. - Yifeng Gao; Yuhua Sun; Xingjun Ma; Zuxuan Wu; Yu-Gang Jiang 001 (ACM Multimedia, 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)

The Dog Walking Theory: Rethinking Convergence in Federated Learning. - Kun Zhai; Yifeng Gao; Xingjun Ma; Difan Zou; Guangnan Ye; Yu-Gang Jiang 001 (CoRR, 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 001; Xuanjing Huang 001; Feng Zhao 004; Tao Gui; et al. (CoRR, 2024)

Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem? - Zichen Wen; Yifeng Gao; Weijia Li; Conghui He; Linfeng Zhang 001 (ACL (Findings), 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 001; Xuanjing Huang 001; Feng Zhao 004; Tao Gui; et al. (CVPR, 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; et al. (CoRR, 2025)

Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More. - Zichen Wen; Yifeng Gao; Shaobo Wang 001; Junyuan Zhang; Qintong Zhang; Weijia Li; Conghui He; Linfeng Zhang 001 (CoRR, 2025)

Identity Lock: Locking API Fine-tuned LLMs With Identity-based Wake Words. - Hongyu Su; Yifeng Gao; Yifan Ding; Xingjun Ma (CoRR, 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, 2025)

SafeVid: Toward Safety Aligned Video Large Multimodal Models. - Yixu Wang; Jiaxin Song; Yifeng Gao; Xin Wang 119; Yang Yao; Yan Teng 002; Xingjun Ma; Yingchun Wang; Yu-Gang Jiang 001 (CoRR, 2025)

ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy. - Gengyang Li; Yifeng Gao; Yuming Li; Yunfang Wu (CoRR, 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, 2025)

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning. - Yifeng Gao; Yifan Ding; Hongyu Su; Juncheng Li 018; Yunhan Zhao; Lin Luo; Zixing Chen; Li Wang; Xin Wang; Yixu Wang; Xingjun Ma; Yu-Gang Jiang (CoRR, 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, 2025)

T2UE: Generating Unlearnable Examples from Text Descriptions. - Xingjun Ma; Hanxun Huang; Tianwei Song; Ye Sun; Yifeng Gao; Yu-Gang Jiang 001 (CoRR, 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, 2025)