| 2026 | ACL | Stability Implies Redundancy: Delta Attention Selective Halting for Efficient Long-Context Prefilling. | Yujie Chen, Tailai Chen, Yifeng Gao, Zoe Wanying He, Yijue Xu, Shaobo Wang, Linfeng Zhang |
| 2026 | ACL | SyncThink: A Training-Free Strategy to Align Inference Termination with Reasoning Saturation. | Gengyang Li, Wang Cai, Yifeng Gao, Yunfang Wu |
| 2025 | ACL | Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem? | Zichen Wen, Yifeng Gao, Weijia Li, Conghui He, Linfeng Zhang |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | 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 |
| 2025 | BSN | Symbol-Temporal Consistency Self-Supervised Learning for Robust Time Series Classification. | Kevin Garcia, Cassandra Garza, Brooklyn Berry, Yifeng Gao |
| 2025 | ICDM | An Efficient Self-Supervised Learning Framework for Swarm Robot Trajectory Analysis. | Brooklyn Berry, Gaukhar Nurbek, Juan Manuel Perez, Richard Tapia, Qi Lu, Yifeng Gao |
| 2025 | ICMLA | Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing. | Juan Manuel Perez, Kevin Garcia, Brooklyn Berry, Dongjin Song, Yifeng Gao |
| 2023 | SDM | PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. | Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin |
| 2022 | ICDM | Robust Time Series Chain Discovery with Incremental Nearest Neighbors. | Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin |
| 2021 | IOLTS | 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 |
| 2020 | AAAI | TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. | Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu |
| 2020 | EDBT | Ensemble Grammar Induction For Detecting Anomalies in Time Series. | Yifeng Gao, Jessica Lin, Constantin Brif |
| 2020 | SDM | Semantic Discord: Finding Unusual Local Patterns for Time Series. | Li Zhang, Yifeng Gao, Jessica Lin |
| 2019 | ICDM | Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. | Yifeng Gao, Jessica Lin |
| 2017 | ICDM | Efficient discovery of time series motifs with large length range in million scale time series. | Yifeng Gao, Jessica Lin |
| 2017 | ICDM | IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. | Yifeng Gao, Jessica Lin, Huzefa Rangwala |
| 2016 | ICMLA | Iterative Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. | Yifeng Gao, Jessica Lin, Huzefa Rangwala |
| 2015 | ICMLA | A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms. | Xing Wang, Yifeng Gao, Jessica Lin, Huzefa Rangwala, Ranjeev Mittu |
| 2012 | GECCO | Principal coordinate strategy: a novel adaptive control strategy for differential evolution. | Yifeng Gao, Dan Lv |